#Download mongodb 4.0
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Download mongodb 4.0

Download mongodb 4.0 how to#
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Download mongodb 4.0 code#
The cursor.not(operator-expression) method performs a logical NOT operation on the specified “operator-expression” and selects the documents that do not match the “operator-expression”. MongoBooser integrates node-fetch to bring window.fetch to MongoDB Script.Ĭonsole.log( await( await(fetch( '')).text())) Ĭonsole.log( await( await(fetch( '')).json())) Minor Enhancement More Useful MongoDB Shell Extensions Global fetch() method
Download mongodb 4.0 how to#
Out of the box, Ctrl-Space, Alt-Space are acceptable triggers.Ĭlick here to learn how to use Node.js Modules in Your Script You can always manually trigger it with Ctrl-Shift-Space. The IntelliSense suggestions will pop up as you type and automatically complete Javascript method names, variables, etc. Within this release, MongoBooster also offers Intellisense experience for Node.js required packages. Intellisense for Node.js Required Packages The above example can be written with the MongoBooster await function. Note this await function is different from es7 await, this await function may be used in functions without the async keyword marked. It can await a promise or a promise array. Within this release, we have also added support for ES7 Async/Await in MongoBooster shell.Īs a comparison, MongoBooster has a build-in function await which is a common js method, not a keyword. See the features and SQL examples supported by the MongoBooster. Autocomplete for keywords, MongoDB collection names, field names and SQL functions.Provide a programming interface (mb.runSQLQuery) that can be integrated into your script.Aggregation Pipeline Operators as SQL Functions (dateToString, toUpper, split, substr…).SQL Functions (COUNT, SUM, MAX, MIN, AVG).Access data via SQL including WHERE filters, ORDER BY, GROUP BY, HAVING, DISTINCT, LIMIT.The Equivalent MongoDB Query can be viewed in console.log tab.Ĭlick here to learn how to run SQL SELECT Query against MongoDB SQL Query Features The SQL query is validated and translated into a MongoDB query and executed by MongoBooster. SQL features are not natively supported by MongoDB.If you want the results not to be edited directly, you can enable the “read-only” mode by clicking the lock button in the toolbar.Pressing shortcut “Esc” will return the previous value and exit the editor. Double-click on any value or array element to edit. MongoBooster supports in-place editing in result tree view.You can always manually trigger the auto-complete feature with Ctrl-Shift-Space. The IntelliSense suggestions will pop up as you type. The build-in SQL language service knows all possible completions, SQL functions, keywords, MongoDB collection names and field names.Just Click on the “console.log/print” tab to show the equivalent MongoDB query: Just type a snippet prefix “run”, and enter “tab” to insert this snippet, then press “Command-Enter” to execute it and get the result.
Download mongodb 4.0 code#
MongoBooster also offers a “runSQLQuery” code snippets. Open a shell tab, enter the above script. SELECT department, SUM(salary) AS total FROM employees GROUP BY department You can query MongoDB by using old SQL which you probably already know 1 Instead of writing the MongoDB query which is represented as a JSON-like structure 1 Let’s look at how to use the GROUP BY clause with the SUM function in SQL. SQL support includes functions, expressions, aggregation for collections with nested objects and arrays. With MongoBooster V4, you can run SQL SELECT Query against MongoDB.
Download mongodb 4.0 for mac os x#
This major upgrade includes Query MongoDB with SQL, ES7 Async/Await support and more.Īlthough we are showing screenshots of MongoBooster for Windows, all these new features are available for Mac OS X and Linux as well. Today, we are extremely pleased to announce the release of MongoBooster 4.0.

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In this article we provide the steps for installing UniFi Network Application / UniFi Controller on Ubuntu 18.04 / Debian 9 Linux system. Ubiquiti offers a wide range of Access Points, Switches, Firewall devices, Routers, Cameras, among many other appliances which are managed from a single point. The commonly used management interface is provided by UniFi Dream Machine Pro. The UniFi Network Application (formerly UniFi Controller), is a wireless network management software solution from Ubiquiti Networks™. This tools provides the capability to manage multiple UniFI networks devices from a web browser. UniFi Network Application can be installed on Windows, macOS and Linux operating systems. In the guide that we did earlier, we covered installation process on macOS: Install UniFi Network Application on macOS For running in Docker see guide in the link below: How To Run UniFi Controller in Docker Container Below are the installation requirements for UniFi Network Application; A DHCP-enabled network Linux, Mac OS X, or Microsoft Windows 7/8 – Running controller software. Java Runtime Environment 8 Web Browser: Mozilla Firefox, Google Chrome, or Microsoft Internet Explorer 8 (or above) For UniFi Network Application installation on Linux, supported operating systems as of this article update are; Ubuntu 18.04 and 16.04 Debian 9 / Debian 8 Software versions requirements: Java 8 (My test with Java 17 and Java 11 failed). MongoDB =3.6 (We’ll install MongoDB 4.0) Before you proceed further query OS details through contents in /etc/os-release file to ensure OS version requirement is met. $ cat /etc/os-release NAME="Ubuntu" VERSION="18.04.6 LTS (Bionic Beaver)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 18.04.6 LTS" VERSION_ID="18.04" HOME_URL="https://www.ubuntu.com/" SUPPORT_URL="https://help.ubuntu.com/" BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" VERSION_CODENAME=bionic UBUNTU_CODENAME=bionic From the output we can see this installation is on Ubuntu 18.04 (Bionic Beaver), which is supported. Add UniFi and MongoDB APT repositories It’s always a good recommendation to keep your system updated. Run the commands below to update your OS. sudo apt update && sudo apt -y full-upgrade After the update perform a reboot if it’s required. [ -f /var/run/reboot-required ] && sudo reboot -f Install software packages required to configure UniFi and MongoDB APT repositories. sudo apt install curl gpg gnupg2 software-properties-common apt-transport-https lsb-release ca-certificates Add UniFi APT repository Import repository GPG key used in signing UniFi APT packages. sudo wget -O /etc/apt/trusted.gpg.d/unifi-repo.gpg https://dl.ui.com/unifi/unifi-repo.gpg Add UniFi APT repository by executing commands below in your terminal. echo 'deb https://www.ui.com/downloads/unifi/debian stable ubiquiti' | sudo tee /etc/apt/sources.list.d/ubnt-unifi.list Add MongoDB APT repository Start by adding GPG key to your system keyring. wget -qO - https://www.mongodb.org/static/pgp/server-4.0.asc | sudo apt-key add - You should get a message in the output that says “OK” if this was successful. Next add repository to your system. ### Ubuntu 18.04 ### echo "deb https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list ### Debian 9 ### echo "deb https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list Once all the repositories have beed added, test if they are functional. ### Ubuntu 18.04 ### $ sudo apt update Get:1 http://mirrors.digitalocean.com/ubuntu bionic InRelease [242 kB] Ign:2 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 InRelease Hit:3 https://repos-droplet.digitalocean.com/apt/droplet-agent main InRelease Get:4 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 Release [2989 B]
Hit:6 http://mirrors.digitalocean.com/ubuntu bionic-updates InRelease Hit:7 http://security.ubuntu.com/ubuntu bionic-security InRelease Get:8 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 Release.gpg [801 B] Hit:9 http://mirrors.digitalocean.com/ubuntu bionic-backports InRelease Get:5 https://dl.ubnt.com/unifi/debian stable InRelease [3038 B] Get:10 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0/multiverse amd64 Packages [18.4 kB] Get:11 https://dl.ubnt.com/unifi/debian stable/ubiquiti amd64 Packages [732 B] Fetched 268 kB in 1s (319 kB/s) Reading package lists... Done Building dependency tree Reading state information... Done ### Debian 9 ### $ sudo apt update Hit:1 http://security.debian.org stretch/updates InRelease Ign:2 http://mirrors.digitalocean.com/debian stretch InRelease Hit:3 http://mirrors.digitalocean.com/debian stretch-updates InRelease Hit:4 http://mirrors.digitalocean.com/debian stretch Release Ign:5 https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 InRelease Hit:6 https://repos-droplet.digitalocean.com/apt/droplet-agent main InRelease Get:8 https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 Release [1490 B] Get:9 https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 Release.gpg [801 B] Get:7 https://dl.ubnt.com/unifi/debian stable InRelease [3038 B] Get:11 https://dl.ubnt.com/unifi/debian stable/ubiquiti amd64 Packages [732 B] Fetched 6061 B in 1s (5707 B/s) Reading package lists... Done Building dependency tree Reading state information... Done Install Java 8 on Ubuntu 18.04 / Debian 9 Restrict Ubuntu and your Debian system from automatically installing Java 11 / Java 17: sudo apt-mark hold openjdk-11-* sudo apt-mark hold openjdk-17-* Install Java 8 from OS default APT repositories. sudo apt install openjdk-8-jdk openjdk-8-jre Remove any newer version of Java installed – Java 11 or Java 17. sudo apt remove openjdk-11-* openjdk-17-* sudo apt install openjdk-8-jdk openjdk-8-jre Confirm installed Java version with the command java -version , it should show openjdk 1.8 $ java -version openjdk version "1.8.0_312" OpenJDK Runtime Environment (build 1.8.0_312-8u312-b07-0ubuntu1~18.04-b07) OpenJDK 64-Bit Server VM (build 25.312-b07, mixed mode) Install UniFi Network Application on Ubuntu 18.04 / Debian 9 We can now install UniFi Network Application on Ubuntu 18.04 / Debian 9 once Java 8 is confirmed to be the default Java version in the system. Run the commands below to install the latest release of UniFi Network Application (UniFi Controller). sudo apt install unifi Accept installation prompt as requested. Reading package lists... Done Building dependency tree Reading state information... Done The following additional packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless Suggested packages: binutils-doc default-jre libasound2-plugins alsa-utils java-virtual-machine cups-common liblcms2-utils pcscd libnss-mdns fonts-dejavu-extra fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic The following NEW packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.
65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless unifi 0 upgraded, 41 newly installed, 0 to remove and 57 not upgraded. Need to get 280 MB of archives. After this operation, 724 MB of additional disk space will be used. Do you want to continue? [Y/n] y Manually installing UniFi Network Application on Ubuntu 18.04 / Debian 9 If you prefer to manually download a .deb package, visit the download the UniFi Controller software from the Ubiquiti Networks website. Choose “Debian / Ubuntu Linux and UniFi Cloud Key” from software list. Click the “Download” button that shows up after selecting. Use “Download File” button or copy Direct URL and use command line downloaders to get the file in your local system. Downloading the file with wget: wget https://dl.ui.com/unifi//unifi_sysvinit_all.deb Installation of .deb package can be done with apt while passing dowloaded file path as an argument. $ sudo apt install ./unifi_sysvinit_all.deb Reading package lists... Done Building dependency tree Reading state information... Done Note, selecting 'unifi' instead of './unifi_sysvinit_all.deb' The following additional packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless Suggested packages: binutils-doc default-jre libasound2-plugins alsa-utils java-virtual-machine cups-common liblcms2-utils pcscd libnss-mdns fonts-dejavu-extra fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic The following NEW packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless unifi 0 upgraded, 41 newly installed, 0 to remove and 57 not upgraded. Need to get 280 MB of archives. After this operation, 724 MB of additional disk space will be used. Do you want to continue? [Y/n] y Successful installation output; Note, selecting 'unifi' instead of './unifi_sysvinit_all.deb' unifi is already the newest version (7.1.66-17875-1). 0 upgraded, 0 newly installed, 0 to remove and 57 not upgraded. Access UniFi Network Application on Web browser To restart the service run the following commands: sudo systemctl restart unifi.service Confirm that the status is running: $ systemctl status unifi.service ● unifi.service - unifi Loaded: loaded (/lib/systemd/system/unifi.service; enabled; vendor preset: enabled) Active: active (running) since Mon 2022-07-11 23:46:08 UTC; 18s ago Process: 12237 ExecStop=/usr/lib/unifi/bin/unifi.init stop (code=exited, status=0/SUCCESS)
Process: 12307 ExecStart=/usr/lib/unifi/bin/unifi.init start (code=exited, status=0/SUCCESS) Main PID: 12375 (jsvc) Tasks: 101 (limit: 2314) CGroup: /system.slice/unifi.service ├─12375 unifi -cwd /usr/lib/unifi -home /usr/lib/jvm/java-8-openjdk-amd64 -cp /usr/share/java/commons-daemon.jar:/usr/lib/unifi/lib/ace.jar -pidfile /var/run/unifi.pid -procname unifi -ou ├─12377 unifi -cwd /usr/lib/unifi -home /usr/lib/jvm/java-8-openjdk-amd64 -cp /usr/share/java/commons-daemon.jar:/usr/lib/unifi/lib/ace.jar -pidfile /var/run/unifi.pid -procname unifi -ou ├─12378 unifi -cwd /usr/lib/unifi -home /usr/lib/jvm/java-8-openjdk-amd64 -cp /usr/share/java/commons-daemon.jar:/usr/lib/unifi/lib/ace.jar -pidfile /var/run/unifi.pid -procname unifi -ou ├─12397 /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java -Dfile.encoding=UTF-8 -Djava.awt.headless=true -Dapple.awt.UIElement=true -Dunifi.core.enabled=false -Xmx1024M -XX:+ExitOnOutOfMemor └─12449 bin/mongod --dbpath /usr/lib/unifi/data/db --port 27117 --unixSocketPrefix /usr/lib/unifi/run --logRotate reopen --logappend --logpath /usr/lib/unifi/logs/mongod.log --pidfilepath Jul 11 23:45:51 unifi-controller systemd[1]: Stopped unifi. Jul 11 23:45:51 unifi-controller systemd[1]: Starting unifi... Jul 11 23:45:51 unifi-controller unifi.init[12307]: * Starting Ubiquiti UniFi Network application unifi Jul 11 23:46:08 unifi-controller unifi.init[12307]: ...done. Jul 11 23:46:08 unifi-controller systemd[1]: Started unifi. Services should be available on port 8080 and port 8443. jmutai@unifi-controller:~$ ss -tunelp | egrep '8080|8443' tcp LISTEN 0 100 *:8443 *:* uid:112 ino:47897 sk:a v6only:0 tcp LISTEN 0 100 *:8080 *:* uid:112 ino:47891 sk:e v6only:0 Access UniFi Network Application on a web browser using the server IP address an port 8443. https://172.20.30.20:8443/ You’ll get SSL warnings while trying to access the portal. Click “Advanced” and “Proceed” to the portal. From your clients (UniFi devices), ping UniFi controller IP address to validate network connectivity. U6-LR-BZ.6.0.21# ping 172.20.30.20 -c 2 PING 172.20.30.20 (172.20.30.20): 56 data bytes 64 bytes from 172.20.30.20: seq=0 ttl=63 time=0.883 ms 64 bytes from 172.20.30.20: seq=1 ttl=63 time=0.885 ms --- 172.20.30.20 ping statistics --- 2 packets transmitted, 2 packets received, 0% packet loss round-trip min/avg/max = 0.883/0.884/0.885 ms Pointing UniFi Devices to new Network Application (UniFi Controller) if this setup is new, your Network Application will discover all UniFi network devices in your network. Check out initial UniFi Network Application configuration in our recent macOS guide: Configure UniFi Network Application If you’re replacing an old Controller, then login to your UniFi devices and set inform address to the new server address and port. See below example. set-inform http://172.20.30.20:8080/inform Give it sometime and status should reflect the recent update we populated. US-16-150W-US.6.2.14# info Model: US-16-150W Version: 6.2.14.13855 MAC Address: 98:8a:20:fd:ea:94 IP Address: 192.168.1.116 Hostname: US-16-150W Uptime: 992330 seconds Status: Connected (http://172.20.30.20:8080/inform) Your uniFi devices will be available for administration from Web browser once they’re enrolled / imported for management via UniFi Network Application. Log Files Location UniFi Network Application have log files that are essential for any troubleshooting required. Logs files available are; /usr/lib/unifi/logs/server.log /usr/lib/unifi/logs/mongod.log We’re working on more articles around UniFi network infrastructure and other integrations. Stay tuned for updates.
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Universal database ide

#Universal database ide mac os
#Universal database ide manual
#Universal database ide software
These can help user build high-quality conceptual, logical and physical data models easily and efficiently. Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. It comes with good usability, has practical functions such like: designs the database structure, performs a reverse or forward engineering process, imports models from the ODBC data source, generates complex SQL/DDL, and prints models. SQL Developer Universal Database Frontend. The DDL Processor processes SQL DDL statements using one of the following methods: Transforming DB2 for z/OS syntax DDL statements to DB2 Universal Database. P圜harm a perfect IDE for professional python developers. Running and debugging Golang is easy with GoLand. It analyzes the codes on the fly and suggests fixes for any bugs.
#Universal database ide software
Navicat Data Modeler is a cross-platform visual database design software developed by PremiumSoft from Hong Kong in China. An SQL query tool, database browser, SQL editor, and database administration tool. DataGrip a database IDE that supports MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, DB2, MariaDB, Cassandra, Vertica, Hive, etc. It is perfect for building, editing, and running queries.
#Universal database ide mac os
MySQL Workbench is available on Windows, Linux, and Mac OS X. With this IDE, you can visually design, model, generate, and manage databases. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. This is a unified visual tool for anyone who works with MySQL databases. Otherwise, please bear all the consequences by yourself. It connects to all popular databases and runs on Win, Mac & Linux. Otherwise, you may receive a variety of copyright complaints and have to deal with them by yourself.īefore using (especially downloading) any resources shared by AppNee, please first go to read our F.A.Q. page more or less. DbVisualizer is the SQL client and database tool with the highest user satisfaction. DbSchema is a universal database design tool for out-of-the-box schema management, schema documentation, design in a team, and deployment on multiple. It gives database professionals the tools they need to build, manage and maintain state-of-the-art database technologies. Powered by our patented Universal Storage, for processing both. DbVisualizer is the universal database tool used by developers, analysts, and database admins all over the world.
#Universal database ide manual
To repost or reproduce, you must add an explicit footnote along with the URL to this article!Īny manual or automated whole-website collecting/crawling behaviors are strictly prohibited.Īny resources shared on AppNee are limited to personal study and research only, any form of commercial behaviors are strictly prohibited. The fully-managed, on-demand cloud database service to power your data-intensive. This article along with all titles and tags are the original content of AppNee.

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Pritunl connection timed out

PRITUNL CONNECTION TIMED OUT HOW TO
PRITUNL CONNECTION TIMED OUT INSTALL
PRITUNL CONNECTION TIMED OUT SOFTWARE
PRITUNL CONNECTION TIMED OUT DOWNLOAD
Writing the new hashed pin/password will be done at a later step.Įcho "show collections" | mongo -quiet mongodb://$ ĭbo.collection("users").
PRITUNL CONNECTION TIMED OUT DOWNLOAD
Using the MongoDB command line utilities, download a copy of the Mongo data for extraction of the fields required to build the. Use the search term: Pritunl port:"27017" Extract the MongoDB data Using Shodan or BinaryEdge, search for a MongoDB with the keyword "pritunl". Step By Step walkthrough Locate a Pritunl MongoDB Server
PRITUNL CONNECTION TIMED OUT HOW TO
Known Mongo Issue & PritunlĪfter getting in touch with about the observations, he identified that this is a known issue with Pritunl, and various posts have been previously made to thier users on how to secure MongoDB (Copied below) Attack Vector Synopsisīy locating unsecured MongoDB databases that are used by Pritunl, an attacker can build an OpenVPN connection profile, with a known hashed password/pin, and connect to the Pritunl server, thus accessing all "internal" servers behind the Pritunl Server. Older versions of Pritunl (version 1.o) and anyone who has manually installed MongoDB 4.0 and later and changed the IP binding options may be vulnerable to this attack. Everything on the server side seems ok but when I try to connect it just times out and these are my logs Sat Jan 28 19:50:13 2017 OpenVPN 2.3.13 x8664-w64-mingw32 SSL (OpenSSL) LZO PKCS11 I.
PRITUNL CONNECTION TIMED OUT SOFTWARE
Subscribe to TechRepublic’s How To Make Tech Work on YouTube for all the latest tech advice for business pros from Jack Wallen.To be clear, the underlying issue is NOT with the pritunl software itself, but with the misconfigured MongoDB server, that is uses. When you’ve finished, click the Hamburger menu and select Disconnect. Once the connection is made, your profile will be listed as Online ( Figure D).įigure D Our client has successfully connected to the server.Ĭongratulations, you are now connected to the Pritunl VPN server. You will be prompted for the PIN you created for your profile on the server. On that profile, click the Hamburger menu and select Connect ( Figure C).įigure C Connecting to the Pritunl server from the client. You should now see the name of the profile listed. Open the Pritunl client and click Import Profile ( Figure B).įigure B The Pritunl client is a no-frills, user-friendly tool for connecting to the server. You should now see a new file ending with the. Once you’ve saved the profile to your desktop, extract it with the command: To do that, log into the Pritunl server web interface, go to Users, and then click the download button for your user ( Figure A).įigure A To download your user profile, click the downward-pointing arrow.
PRITUNL CONNECTION TIMED OUT INSTALL
Sudo apt-get install pritunl-client-electron -y How to download your Pritunl fingerprintīefore you can connect the client, you must first download your Pritunl finger. Fortunately, the client released for 20.04 works just fine. Sudo nano /etc/apt//pritunl.listĪlthough we’re working with 21.04, Pritunl doesn’t yet have a repository for the release. Once the key is installed, add the repository with the command: Open a terminal window and download the necessary GPG keys with the command: We’ll be using the electron version of the Pritunl client. For the Linux installation, you’ll also need a user with sudo privileges. I have OpenVPN installed all working fine and. In the new dialog box, remove the check marks from all. Click on the LAN settings button below the Connections tab. Enter Internet Options in the search bar in the start menu and open it. You’ll also need a client machine (in this case Ubuntu Desktop 21.04), which can be running Linux, macOS, or Windows. Problem: If I connect its anly saying Connecting till its saying Connection timed out to vpnserver (vpnserver). An ErrConnectionTimedOut can sometimes be fixed by disabling some automatic processes in the LAN settings. SEE: Security incident response policy (TechRepublic Premium) What you’ll needįirst off, you must have the Pritunl VPN server up and running, so make sure you go through the steps in the article listed above. But since Linux is my go-to operating system, I’ll be demonstrating the steps on that OS. Of course, you can also install the client on macOS and Windows, and the connection process is the same on all platforms. This time around, we’re going to install the Pritunl client on Ubuntu Desktop 21.04 and connect it to the server. In a recent how-to ( How to install the Pritunl VPN server on Ubuntu Server 20.04), I walked you through the process of installing the Pritunl VPN server on Ubuntu 20.04. Now that you have your Pritunl VPN server up and running, Jack Wallen shows you how to connect the client. How to connect a client to the open-source Pritunl VPN

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Capture changes from Amazon DocumentDB via AWS Lambda and publish them to Amazon MSK
When using a document data store as your service’s source of truth, you may need to share the changes of this source with other downstream systems. The data events that are happening within this data store can be converted to business events, which can then be sourced into multiple microservices that implement different business functionalities. Capturing the changes from data sources is called change data capture (CDC); you can implement it in different ways by different data technologies. In the case of Amazon DocumentDB (with MongoDB compatibility), you can implement CDC via change streams functionality. This feature simplifies the process to listen to committed changes to documents in a set of collections in real time. The events are also time-ordered within a stream, which makes the stream a reliable mechanism for state replication scenarios. In this post, I show how you can capture changes from Amazon DocumentDB by using AWS Lambda implemented in NodeJS. After the Lambda function captures the change events, it publishes them to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Architecture By completing the steps in this post, you can create a system that uses the architecture illustrated in the following image. The flow of events starts when we make changes within a collection residing in the Amazon DocumentDB database. As the changes arrive, Amazon DocumentDB copies them into a change stream dedicated to that collection. A Lambda function connects to this change stream and polls these events. After the function filters out events other than insert, update, and delete, it publishes them to a Kafka topic in an MSK cluster. A Lambda function is a stateless component, and it has a limited lifespan. Because the polling activity should be continuous, we need to run the Lambda function on a schedule. This architecture uses Amazon EventBridge to schedule the function to run every minute. In this sample architecture, each Lambda function triggered by the EventBridge engine connects to Amazon DocumentDB and watches for changes for a predefined time period (15 seconds in this case). At the end of each poll cycle, the function writes the last polled resume token to another collection in the same Amazon DocumentDB database. This checkpoint mechanism allows Lambda functions to resume the polling activity without needing to replay all the events from the beginning of the stream. This checkpointing mechanism should be in place even if we choose to use a long-running application using a virtual machine or container-based compute infrastructure. This is because if the underlying compute instance is restarted or scaled out, the new instance needs to have a starting point rather than process the whole history. A change stream can hold up to 7 days of information (determined by the change_stream_log_retention_duration parameter), which can translate to a significant number of change events for active applications. For this post, we use Amazon DocumentDB version 4.0. Deploy the stack To deploy the sample architecture into your AWS environment, we use an AWS Serverless Application Model (AWS SAM) template. The template creates the following resources in your account: An Amazon DocumentDB cluster (version 4.0) An MSK cluster A Lambda function (function-documentdb-stream-processor) that polls the change streams event from the Amazon DocumentDB cluster and publishes them to the MSK cluster An AWS Cloud9 environment, which allows you to configure source and destination systems and run your tests A VPC and subnets A NAT gateway and internet gateway Other supporting resources such as security groups and AWS Identity and Access Management (IAM) roles You will incur some costs after creating this environment. To start your deployment, clone the GitHub repository to your local machine and install and configure AWS SAM with a test IAM user. AWS SAM requires you to specify an Amazon Simple Storage Service (Amazon S3) bucket to hold the deployment artifacts. If you haven’t already created a bucket for this purpose, create one now. The bucket should be reachable by the IAM user you use for deploying AWS SAM packages. At the command line, navigate to the cloned GitHub repository’s folder and enter the following command to package the application: sam package --template template.yaml --output-template-file output_template.yaml --s3-bucket BUCKET_NAME_HERE Replace BUCKET_NAME_HERE with the name of the S3 bucket that holds the deployment artifacts. AWS SAM packages the application and copies it into the S3 bucket. When the AWS SAM package command finishes running, enter the following command to deploy the package: sam deploy --template-file output_template.yaml --stack-name Blogstack --capabilities CAPABILITY_IAM --parameter-overrides docDBUser=masterUsername docDBPass=masterPass docDBClusterName=docDBCluster mskClusterName=blog-msk-clstr In the preceding command, you can supply your own stack name by changing the stack-name parameter’s value. This template also allows you to provide the following input parameters and override their default values: docDBUser docDBPass docDBClusterName mskClusterName When you run this command, AWS SAM shows the progress of the deployment. The deployment takes around 15 minutes and creates a main stack and a dependent stack for the AWS Cloud9 environment in AWS CloudFormation. You can also track the overall deployment status on the AWS CloudFormation console. When the deployment is complete, AWS SAM outputs the following parameters, which you need while doing additional system configurations. These parameters are also available on the AWS CloudFormation console, on the Outputs tab of the deployed stack named Blogstack. Connecting to your AWS Cloud9 environment An AWS Cloud9 environment is created for you automatically when you deploy the AWS SAM package. You need to further provision this environment with MongoDB and Kafka command line tools. To start provisioning your AWS Cloud9 environment, follow the URL that was provided by the Cloud9URL output parameter of the deployed CloudFormation stack. When the environment starts, go to the terminal section. Configure Amazon DocumentDB You can now install mongo shell onto your AWS Cloud9 environment. Use the following commands in the terminal: echo -e "[mongodb-org-4.0] nname=MongoDB Repositorynbaseurl= https://repo.mongodb.org/yum/amazon/2013.03/mongodb-org/4.0/x86_64/ ngpgcheck=1 nenabled=1 ngpgkey= https://www.mongodb.org/static/pgp/server-4.0.asc" | sudo tee /etc/yum.repos.d/mongodb-org-4.0.repo sudo yum install -y mongodb-org-shell You also need Amazon DocumentDB CA certificates to connect to your cluster. Use the following command to download the certificate to the current folder (~/environment): wget https://s3.amazonaws.com/rds-downloads/rds-combined-ca-bundle.pem Enter the following command connect to your cluster: mongo --ssl --host DOCUMENTDB_CLUSTER_ENDPOINT_HERE:27017 --sslCAFile rds-combined-ca-bundle.pem --username DOCUMENTDB_USERNAME_HERE --password DOCUMENTDB_PASSWORD_HERE In the preceding command, provide the cluster endpoint of the Amazon DocumentDB cluster that was output from the AWS SAM installation. Also provide your username and password that you used during the sam deploy command. Create a database (blogdb): We create two collections in the database. The first collection is named blogcollection; we use it as the data source for the change stream integration. Use the following command to create the empty blogcollection: db.createCollection("blogcollection") Enable change stream on this collection by running the following adminCommand command: db.adminCommand({modifyChangeStreams: 1, database: "blogdb", collection: "blogcollection", enable: true}); You need to also enable change streams in the cluster’s parameter group before it can be used. You can enable Amazon DocumentDB change streams for all collections within a given database, or only for selected collections. We use the second collection, checkpoints, to store the checkpoint document that holds the last processed resume token: db.checkpoints.insert({_id: 1, checkpoint: 0}) You can now issue the exit command to exit the mongo shell and continue with the next step: exit Configure the MSK cluster To configure the MSK cluster, you need to install Kafka into your AWS Cloud9 environment. Use the following commands in your AWS Cloud9 terminal to download Kafka from the source, extract it, and navigate to the bin folder: wget https://apache.mirror.colo-serv.net/kafka/2.7.0/kafka_2.13-2.7.0.tgz tar -xzf kafka_2.13-2.7.0.tgz cd kafka_2.13-2.7.0/bin Kafka binaries we use in this post require Java 8 or later versions. Check your environment’s Java version with the following command: java -version If you see a version below 1.8, issue the below commands to upgrade it to Java 8. sudo yum -y install java-1.8.0-openjdk-devel sudo alternatives --config java Select the 1.8 versions from the list. Find the bootstrap servers of your MSK cluster: To find the bootstrap server hostnames for your MSK cluster, navigate to the Amazon MSK console and choose your cluster. In the Cluster summary pane on the Details tab, choose View client information and copy the bootstrap servers host/port pairs. Within Kafka installation’s bin directory, issue the following command to create a topic to hold the events published by function-documentdb-stream-processor: sudo ./kafka-topics.sh --create --topic blog-events --replication-factor 1 --partitions 1 --bootstrap-server MSK_BOOTSTRAP_SERVERS_HERE Replace MSK_BOOTSTRAP_SERVERS_HERE with the value of the host/port pairs from the previous step. Test the solution To test the setup from end to end, you need to open a second terminal in your AWS Cloud9 environment. On the Window menu, choose New Terminal. In the first terminal, make sure you’re in the bin folder of the Kafka installation and issue the following command to start listening to the records in the Kafka topic: sudo ./kafka-console-consumer.sh --topic blog-events --from-beginning --bootstrap-server MSK_BOOTSTRAP_SERVERS_HERE As before, provide the value of the bootstrap server host/port pairs. In the second terminal, use mongo shell to connect to the Amazon DocumentDB cluster the same way you did earlier. Issue the following command to insert a document into blogdb.blogcollection: use blogdb; db.blogcollection.insert({"title" : "Blog Title 1"}) Add another document with the following command: db.blogcollection.insert({"title" : "Blog Title 2"}) In the first terminal, observe the changes on the Kafka topic as you add different documents to the collection. Cleanup To clean up the resources you used in your account, delete the stack from the AWS CloudFormation console. You can also delete the bucket you used for packaging and deploying the AWS SAM application. Conclusion This architecture shows how to capture state changes from Amazon DocumentDB via its change streams functionality and send them to Amazon MSK. You can adapt similar architectures to apply to other use cases, such as query segregation, event sourcing, data duplication, and more. For more information about the stream’s functionality and other integrations, see Run full text search queries on Amazon DocumentDB (with MongoDB compatibility) data with Amazon Elasticsearch Service and Using Change Streams with Amazon DocumentDB. If you have any questions or comments about this post, please share them in the comments. If you have any feature requests for Amazon DocumentDB, email us at [email protected] About the author Murat Balkan is an AWS Solutions Architect based in Toronto. He helps customers across Canada to transform their businesses and build industry leading solutions on AWS. https://aws.amazon.com/blogs/database/capture-changes-from-amazon-documentdb-via-aws-lambda-and-publish-them-to-amazon-msk/
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🎉 JavaScript turns 25 years old
#489 — May 22, 2020
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JavaScript Weekly

A Complete Walkthrough to Using WebGL — A really thorough walkthrough of getting started with WebGL at the low level, complete with integrated, editable examples and coverage of the math behind 3D rendering. If you’ve ever wondered what libraries like Three.js are using behind the scenes, it’s all here.
Maxime Euzière
Microsoft Unveils 'Azure Static Web Apps' — Azure Static Web Apps brings modern static site deployment to Azure and integrates with GitHub and Visual Studio Code too. Want to see more? Here’s a 6 minute screencast demo. Yet another way to deploy those static single page apps :-)
Microsoft
The Most Complete Spreadsheet for JavaScript Apps – SpreadJS — Deliver true Excel-like experiences with this fast JavaScript enterprise spreadsheet solution. Build FinTech, analysis, budgeting, and forecasting apps. Featuring an Excel I/O, 450+ functions, tables, charts, sparklines, and more. View the latest demo.
SpreadJS by GrapeCity sponsor
The Unreasonable Effectiveness of Declarative Programming — Siddharth shows off his single file animation library by way of showing off the benefits of doing things in an (arguably) declarative style. A nifty post, this, which encourages you to interact with the code yourself.
Siddharth Bhat
The Third Age of JavaScript? — Yes, purely an opinion piece but he might have a point. “Every 10 years there is a changing of the guard in JavaScript. I think we have just started a period of accelerated change that could in future be regarded as the Third Age of JavaScript.”
Shawn Wang
Electron 9.0.0 Released — The popular cross platform desktop app framework gets more dependency bumps and is now running on Chromium 83, V8 8.3, and Node.js 12.14. There’s an integrated PDF viewer now, if you need that.
GitHub Inc.
⚡️ Quick bytes:
JavaScript is 25 years old at.. roughly now!
Microsoft has been showing off its work getting React Native on macOS and some other new Windows features.
Vue has made it into the 'adopt' zone of ThoughtWorks' languages and frameworks technology radar (and Vue 3.0.0 beta 14 is out too.)
Ionic are running IoniConf 2020 online next month (June 24).
💻 Jobs
Senior Software Engineer — Save Lives & Make an Impact — We use Node/TS/React & ML to provide crisis support via SMS. Help us scale globally with a focus on privacy and security.
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📚 Tutorials and Opinions

▶ (Re)-Implementing The Easiest JavaScript Game Ever — Have you ever played the ‘running dinosaur’ game in Chrome when your connection goes down? This is a fun 8 minutes spent reimplementing the basic mechanic. It’s scrappy, but that’s kinda the point. If you like his style, he’s done a 2 minute video flying through the development of another arcadey game.
KnifeCircus
The Architecture of a Serverless, Vue.js-Powered Content Management System — Not only does this outline the AWS infrastructural architecture pretty well, there’s code for you to use for your own setup if you wish.
Dan Bartlett
Understanding Lazy-Loading in Popular Frontend Frameworks — How Angular, React, and Vue handle on-demand loading of components.
tamos piros
▶ One Developer's Five Most Used JavaScript 'Tricks' — If you’re more at the beginner end of the scale, you might appreciate six minutes spent here. Well presented.
Aaron Jack beginner
Stream Chat API & JavaScript SDK for Custom Chat Apps — Build real-time chat in less time. Rapidly ship in-app messaging with our highly reliable chat infrastructure.
Stream sponsor
5 Differences Between Arrow and Regular Functions — A nice detailed look, with examples, of the differences between arrow and regular functions in JavaScript. I’m sure one or two of these will be new to many of you.
dmitri pavlutin
Dropbox's Great CoffeeScript to TypeScript Migration of 2017 — A deep retrospective from the Dropbox team on migrating hundreds of thousands of lines of CoffeeScript to TypeScript, sharing details on why they chose TypeScript and the challenges faced. “Fast forward to 2020, we now have over two million lines of TypeScript at Dropbox.”
David Goldstein
Promise.all vs Promise.allSettled — “I was reading the MDN docs on JavaScript promises and realized that the difference between Promise.all and Promise.allSettled wasn’t immediately obvious.”
JonLuca DeCaro
Growing Pains: From 0 to 13,000 Dependencies — Find out how your project can go from 0 to 13,000 dependencies in just a few steps.
Nikola Đuza
Error Handling in RxJS
Eugene Ghanizadeh Khoub
A (Mostly) Complete Guide to React Rendering Behavior
Mark Erikson
How to Use Object Destructuring in JavaScript — A code-heavy tutorial looking at object destructuring, a feature introduced in ES6 that allows you to extract properties from objects and bind them to variables.
dmitri pavlutin
🔧 Code & Tools
Reveal.js 4.0: An HTML Presentation Framework — A mature library takes another step forward. The homepage itself is, cleverly, a live demo (use the arrow keys). v4 adds several new features. Just want the code? Here’s the GitHub repo.
Hakim El Hattab
ac-colors: A Reactive Color Conversion and Generation Library — A lot of power under the hood here being able to convert between RGB, HSL, HEX, XYZ, LAB, and LCHab, as well as handle random color generation and contrast ratio calculation.
Vinay
MongoDB Is Easy. Now Make It Powerful. Free Download for 30 Days. — Using MongoDB Atlas? Studio 3T is the professional GUI and IDE that unlocks the power you need.
Studio 3T sponsor
umi-request: A Modern HTTP Request Tool Based on Fetch — An attempt at combining some of the niceties of Axios with the modernity of the Fetch API to get the best of both worlds.
UmiJS
Howler.js: An Audio Library for The Modern Web — Makes things easier cross-platform. Uses the Web Audio API but can fall back to HTML5 Audio.
James Simpson
Vue Class Store: Universal Vue Stores You Write Once and Use Anywhere — We’ll let it speak for itself: “I’ll give you reactivity, computed properties and watches, written in standard JavaScript or TypeScript, with no setup or boilerplate, and you can use me anywhere.”
Dave Stewart
New Integration: PostgreSQL Instrumented for Node.js
AppSignal sponsor
Vue Formulate: The Easy Way to Build Forms with Vue.js — First linked a few months ago, this has come on leaps and bounds since with grouped fields, a way to stop validation, slots for customization, and more.
Braid LLC
NanoPop: A Minimalistic Positioning Engine — In a race to do things in as few bytes as possible, NanoPop aims to be much smaller than even PopperJS for positioning things like tooltips and popovers.
Simon R.
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Instalar un servidor Rocket.Chat en Ubuntu
Instalar un servidor Rocket.Chat en Ubuntu y derivados. Rocket.Chat es un excelente servidor de web-chat opensource, y actualmente es la mejor alternativa auto alojada a Slack. Ofrece un montón de opciones como por ejemplo, chat, vídeo, llamadas de voz, intercambio de archivos y un gran sistema de ayuda. Algunas de las mejores características: Sistema de traducción en tiempo real. Integraciones entrantes y salientes de WebHook. Chat en vivo / Centro de llamadas / Llamadas de audio. APIs muy potentes. Permite subir y compartir archivos con el resto de usuarios. Tiene aplicación web, también para escritorio Linux, Android, iOS, Windows, Mac. App para IOS y Android. Monitoreo remoto de vídeo. Temas personalizados, emojis, sonidos y cualquier activo de tu empresa. etc… Para realizar este articulo usamos un servidor con Ubuntu 18.04 instalado.
Instalar un servidor Rocket.Chat
Antes de instalar el servidor Rocket.Chat actualizamos nuestro sistema. apt update && apt upgrade Rocket.Chat requiere un servidor de base de datos MongoDB, versión 3.2 o superior. Para instalar la ultima versión de MongoDB debemos agregar el repositorio correspondiente. apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 9DA31620334BD75D9DCB49F368818C72E52529D4 echo "deb http://repo.mongodb.org/apt/ubuntu trusty/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list Instalamos MongoDB. apt update && apt install -y mongodb-org curl graphicsmagick Ahora debemos crear un archivo especifico para que MongoDB inicie como servicio. nano /etc/systemd/system/mongodb.service Copia y pega en el archivo lo siguiente. Description=High-performance, schema-free document-oriented database server After=network.target User=mongodb ExecStart=/usr/bin/mongod --quiet --config /etc/mongod.conf WantedBy=multi-user.target Guarda el archivo y cierra el editor nano. Recargamos los demonios. systemctl daemon-reload Iniciamos MongoDB y habilitamos su inicio con el sistema. systemctl start mongodb systemctl enable mongodb Bueno... ya tenemos el servidor de bases de datos en marcha, así que continuamos. Rocket.Chat requiere que tengamos instalado Node.js (se recomienda la versión 8.11.3) y el gestor de paquetes npm, procedemos. apt -y install node.js apt install npm build-essential npm install -g inherits n && n 8.11.3 Agregamos un nuevo usuario (rocketchat) para no utilizar Rocket.Chat como root. useradd -m -U -r -d /opt/rocketchat rocketchat Cambiamos al usuario que acabamos de crear. su - rocketchat Descargamos la última versión estable de Rocket.Chat. curl -L https://releases.rocket.chat/latest/download -o rocket.chat.tgz Descomprime el paquete. tar zxvf rocket.chat.tgz Cambiamos el nombre de la carpeta de la aplicación. mv bundle rocketchat Nos movemos de directorio e instalamos las dependencias necesarias. cd rocketchat/programs/server npm install Establecemos las siguientes variables (con tu dominio real). cd /opt/rocketchat/rocketchat export ROOT_URL=http://tudominio.es:3000/ export MONGO_URL=mongodb://localhost:27017/rocketchat export PORT=3000 En este momento ya tenemos todo preparado para iniciar nuestro servidor chat. node main.js Si todo a salido bien, veras una pantalla similar a esta... +-----------------------------------------------------------------------+ | SERVER RUNNING | +-----------------------------------------------------------------------+ | | | Rocket.Chat Version: 1.2.1 | | NodeJS Version: 8.11.3 - x64 | | Platform: linux | | Process Port: 3000 | | Site URL: http://tudominio.com:3000/ | | ReplicaSet OpLog: Disabled | | Commit Hash: 202a465f1c | | Commit Branch: HEAD | | | +-----------------------------------------------------------------------+ Para que Rocket.Chat se inicie como servicio sigue los pasos siguientes. nano /etc/systemd/system/rocketchat.service Agregamos lo siguiente (asegúrate de insertar el nombre de tu dominio). Description=RocketChat Server After=network.target remote-fs.target nss-lookup.target mongod.target ExecStart=/usr/local/bin/node /opt/rocketchat/rocketchat/main.js Restart=always RestartSec=10 StandardOutput=syslog StandardError=syslog SyslogIdentifier=nodejs-example #User= #Group= Environment=NODE_ENV=production PORT=3000 ROOT_URL=http://tudominio.com MONGO_URL=mongodb://localhost:27017/rocketchat WantedBy=multi-user.target Guarda el archivo y cierra el editor. Reinicia el demonio. systemctl daemon-reload Iniciamos Rocket.Chat y habilitamos su inicio con el sistema. systemctl enable rocketchat systemctl start rocketchat Ya podemos acceder a Rocket.Chat y completar la instalación. Desde tu navegador web favorito accede a la siguiente url. http://tudominio.com:3000 El asistente de instalación te guiará a través de la configuración desde su usuario administrador. Una vez ya lo tengas todo instalado y configurado, te recomiendo que descargues la aplicación de escritorio para interactuar con el resto de usuarios. Al iniciar la aplicación de escritorio por primera vez te pedirá la url del servidor de chat al que te quieres conectar. La url "https://open.rocket.chat" es el chat de la comunidad Rocket.Chat.
Inicio Rocket.chat URL del servidor Creamos un usuario.
Registro de usuario en Rocketchat Chat demo.
Rocketchat demo Para más información sobre cómo usar y configurar Rocket.Chat, revisa la documentación oficial. En Sololinux.es seguimos creciendo gracias a nuestros lectores, puedes colaborar con el simple gesto de compartir nuestros artículos en tu sitio web, blog, foro o redes sociales. Read the full article
#editornano#instalarunservidor#MongoDB#node.js#npm#opensource#Rocket#Rocket.Chat#servidor#servidorRocket.Chat#slack#ununtu#web-chat#WebHook
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TOP JAVASCRIPT FRAMEWORKS FOR DEVELOPING ROBUST AND SCALABLE MOBILITY AND WEB SOLUTIONS
JavaScript popularity among the web developers has grown over the years. Why are JavaScript frameworks quite popular among developers?
Well, it’s because of the interactive and convincing features offered by them. The world of tech is always evolving, and each New Year comes with all sorts of innovations, so we need smart tools for fast-paced development and building feature-rich interactive web apps, javascript just fit into these requirements. Every now and then new frameworks come out with new unique capabilities. What’s the right JavaScript library/framework for us to use?
When it comes to choosing the right JavaScript Framework it is certainly confusing. Should consider pros and cons, web development project we deal with etc.
Keeping all aspects in mind, we highlight 5 JavaScript frameworks which are worth knowing. 1. AngularJS
• AngularJS is a JavaScript-based open-source front-end web application framework. It is built by Google, the framework is known for its speedy and agile work.
• Angular.js-Has great MVC which strings MVC components together automatically and saves you time. HTML is used as a declarative language that makes them more intuitive.
• AngularJS 2.0 – They are Faster and stress more on browsers like IE10/11, Chrome, Firefox, Opera & Safari, Chrome on Android, Windows Phone 8+, iOS6 & Firefox mobile. Give better performance and easy applicability. But AngularJS2.0 cannot work with the new web components like custom elements, HTML imports, shadow DOM etc.
• AngularJS 4.0-Roughly six month after the release of Angular 2, angular 4 is now available. Angular4 consume less space and run quicker than previous versions. Have decrease in the size of the generated code to approximately 60 %. They have used animations in their own package, so in case you don’t use animation excess code won’t end up in your creation package.
• AngularJS 5.0– New version of angular was released in Nov 2017. It simplifies progressive web application, also provides a feature to get the native mobile applications with the mobile web apps. Have build optimizer tool which removes unnecessary runtime code as well as additional parts. Also comes with typescript 2.3 that makes the rebuilt super-fast.
2. React.js React is a JavaScript library for building user interfaces that combine the speed of JavaScript and uses a new way of rendering web pages, making them highly dynamic and responsive to user input. Developed by a collaboration of Facebook and Instagram and it was released in March 2013.
Advantages • Easy to learn-With lots of documentation, tutorials and training sessions makes anyone who comes from the JavaScript background can easily learn and use them. • Extremely efficient: Since it creates its own virtual DOM that gives you enormous flexibility and amazing gain in performance. • SEO friendly- React.js can run on the server side and the virtual DOM act as a regular web page in Browser. • Best Developer tools- React has design and debugging tools available for Chrome and Firefox. Individual components can be selected, examined and could alter their current properties and state if needed. 3. Vue.js Vue.js an open-source progressive JavaScript framework with various optional tools for building user interfaces. Developed in Dec 2017, Vue.Js framework focuses more on the front end. This framework is capable of boosting single-page applications when used in combination with modern tools and other supporting libraries.
Advantages • Small in size- Framework is 18–21KB and takes no time for the user to download and use it. Faster than all other frameworks
• Simple-Easy to understand because of its simple structure. Any template can be developed without time lag. Also, a user can easily trace the block with errors.
• Easy to integrate- As a JavaScript framework, it could be easily integrated with existing applications built on JavaScript.
• Detailed documentation-With detailed documentation, a user can easily develop his own web page or application.
4. Ember.js Ember.js is an open-source JavaScript web framework, based on the Model–view–view model (MVVM) pattern. It helps to create a single page web application, desktop, and mobile apps. E.g.:-Apple Music app
Advantages • Ember Data library-Ember data library includes features needed for communicating with a restful API. Don’t have to write your own program, we just have to define parameters and rest will be covered by ember.
• Ember CLI-Provides all generators and tools to handle third-party add-ons and to combine and rearrange JavaScript.
• A built-in testing tools-Ember-cli application is supplied with QUnit which act as a default testing framework. But others are supported through third-party add-ons.
• Active community and support.
5. Meteor.js Meteor, or MeteorJS, is a free and open-source isomorphic JavaScript web framework written using Node.js. Meteor.js is built around many small packages, like MongoDB or jQuery.
Advantages
Single Language Frontend, backend, and database are to be written in one single language-JavaScript. This Feature also works for the client as well as server side.
Real-time web development-Get updated automatically when underlying changes data changes.
Fast-Has a large community to get on with the basics really fast.
Easy to learn-JavaScript is free from CSS, HTML which makes the development process really simple. Has large community support, and with single language can learn it with ease.
To choose out the best framework can be a demanding task. For the particular purpose they were created for, they seem to be doing the best job at it. However, it’s not about the number of features that the particular framework can provide, but finding the right tool for the problem at hand. We at ti Technologies figure out the right JavaScript frameworks as per your project needs, general framework functionality, client’s long terms goals and the solutions that can save time and money.
https://www.titechglobal.com/top-javascript-frameworks-for-mobility-and-web-solutions/
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Installing MongoDB
MongoDB runs on every operating system. Mac OS, Linux, Windows. First, you need to download MongoDB. Go to http://mongodb.com and click the top rightmost button: "Get MongoDB". Click on the "Server" tab and choose your operating system as you wish. I'm a windows user so I choose Windows 64-bit x64 and MSI package. If you downloaded the package, run and install the database. You may install mongo as a service so you don't need to start it every time. Don't worry if you didn't install it as a service, I'll show you how to run it. After you install you may want to add "mongo" to your environment variables. Click windows start menu type "Environment" and click the result. You should see the window shown in the image
Add the path of your MongoDB installation to PATH variable. This is the path to my default installation folder: "C:\Program Files\MongoDB\Server\4.0\bin". So go ahead and add this path to your user variables.
If you able to follow the instructions, you should be good to go. Now open command prompt once again. and type mongo . That’s it. You are connected to MongoDB.
Stop MongoDB
MongoDB installed as a service to your Windows machine and it’ll start when you open your PC. Let’s stop the service and see how to manually start MongoDB. First of all, stop the MongoDB by typing “net stop MongoDB” in your command prompt.
Start MongoDB
“mongo” command basically opens a client for you in your command prompt. If you want to start you MongoDB Server you should write “mongod”. After starting your MongoDB instance open another command prompt but don’t close the first one and type “mongo” this time (no “d” at the end). If you want to start your MongoDB with a different data folder you can run this command
mongod --dbpath “C:\data\db”
Hint: If you want to stop your MongoDB instance just press Ctrl+C in your command prompt which we typed “mongod” command.
Hint: If you are getting an error about permission, basically start your command prompt int Admin privileges.
Hint: If you want to start your MongoDB rather than default port which is 27017, you can use this comman: mongod --port 27018 . You can also connect to MongoDB with different port using this command: mongo --port 27018
See you in the next article. We will write some code on MongoDB.
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Create your online portfolio with this project-based tutorial.
Bootstrap 3 is a lightweight and responsive framework for a better and faster mobile-friendly web development.
– By the end of the course, you will be well-versed with most of the Bootstrap built-in CSS and components. You will be ready to design sleek, mobile-ready websites with HTML and CSS
Lessons include topics like:
How to use the 12-column Grid System Adding and customizing links and buttons Using the pseudo-class :hover to create cool hover effects The video lessons will walk you through every process step-by-step. Join me to create your portfolio & learn about the most popular open-source responsive framework Bootstrap 3.
Full details You will learn to build complexe and dynamic site layouts with the 12-column Grid System You will learn how to design your site quickly with CSS buill-in classes and other functional components You will learn how to override the Boostrap styling with your custom style By the end of the course, you will have a fully functional wepage. The final template is customizable and can be used as on online portfolio
Full details This class is for beginner and intermediate level This class is for anyone willing to learn about fast web developement and rapid prototyping The course is designed for anyone willing to learn about the most popular responsive framework
Reviews:
“Highly recommended” (Priyanka)
“cool, I built my portfolio website only in 1 hour!” (Jang Mi Kyung)
“Quick, simple and straight forward I liked this.” (LuisMa Suarez)
About Instructor:
Samarth Paboowal
CODING is my Passion first, hobby second and job third! I am Full Stack Developer from last two years and I love building scalable web applications and modern websites with new technologies.I started with my web development with PHP and then I moved on to FULL Stack JavaScript which basically includes MEAN STACK. MEAN => MongoDB as a database, ExpressJs as server framework, AngularJs as front-end framework and NodeJs for backend work. My aim is to teach each and everyone how to CODE!! I thus bring to Udemy my experience in Full Stack Development and to teach you how to become a better developer to solve real world challenges.
Instructor Other Courses:
Ultimate Python Developer Course – Build Real Applications Python Programming – Build a Reconnaissance Scanner Learn JavaScript from scratch …………………………………………………………… Samarth Paboowal coupons Development course coupon Udemy Development course coupon Web Development course coupon Udemy Web Development course coupon Building a Portfolio in 90 minutes ( HTML, CSS, Js ) Building a Portfolio in 90 minutes ( HTML, CSS, Js ) course coupon Building a Portfolio in 90 minutes ( HTML, CSS, Js ) coupon coupons
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Monitoring metrics and setting up alarms on your Amazon DocumentDB (with MongoDB compatibility) clusters
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 4.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB gives you the ability to monitor over 50 Amazon CloudWatch metrics, including CPU utilization, BufferCacheHitRatio, read and write IOPS, MongoDB opcounters, and more. For a detailed list of the CloudWatch metrics, see Amazon DocumentDB Metrics. You can monitor these metrics at the cluster, instance, or role level (for more information about roles, see Managing Amazon DocumentDB Users). In addition, other services can use the metrics, such as Amazon Simple Notification Service (Amazon SNS) to set notification alarms when a metric breaches a predefined threshold. This post walks through how to use CloudWatch metrics to monitor your Amazon DocumentDB cluster on the AWS Management Console. We also create an alarm and set up a notification through Amazon SNS to send an email when a metric breaches a predetermined threshold. Prerequisites To use the CloudWatch metrics, you must first provision an Amazon DocumentDB cluster. For instructions, see Getting Started with Amazon DocumentDB. Monitoring a cluster’s status with Amazon DocumentDB To view the status of your clusters, do the following: On the Amazon DocumentDB console, in the navigation pane, choose Clusters. In the Cluster identifier column, find the name of the cluster that you’re interested in. To find the status of the cluster, read across that row to the Status column, as shown in the following screenshot. In addition to being active, the cluster status can be in a number of different states, including deleting, failing-over, and upgrading. For a complete list of status values and their descriptions, see Cluster Status Values. Next, we look at how to check the status for individual instances within the cluster. Monitoring an instance’s status with Amazon DocumentDB To view the status of the individual instances in your cluster, do the following: On the Amazon DocumentDB console, in the navigation pane, choose Instances. In the Instance identifier column, find the name of the instance that you’re interested in. To find the status of the instance, read across that row to the Status collumn. In addition to being available, the instance status can be in a number of different states, including backing-up, creating, and deleting. For a complete list of status values and their descriptions, see Instance Status Values. You can view metrics at the cluster or instance level, and the instance must be in the available state before metrics can be viewed. You can view metrics two different ways on the console: via the Amazon DocumentDB console or the CloudWatch console. CloudWatch allows you to set alarms and send notifications when metrics cross predetermined values, which is very useful when you’re busy doing something else. Viewing metrics on the Amazon DocumentDB console The easiest way to view cluster- and instance-level metrics is to access the monitoring blade on the Amazon DocumentDB console. To view these, complete the following steps: On the Amazon DocumentDB console, in the navigation pane, choose Instances. From the list of instances, choose the name of the instance that you want metrics for. (To view cluster level metrics, choose Clusters. Then, from the list of clusters, choose the name of the cluster you want metrics for). In the resulting instance summary page, choose the Monitoring tab to view graphical representations of your Amazon DocumentDB instance’s metrics. Because a graph must be generated for each metric, it might take a few minutes for the CloudWatch graphs to populate. To help with organization and readability, the metrics are categorized in the following way: Resource Utilization, Throughput, Latency, Operations and System. The following image shows a screenshot of the VolumeBytesUsed and CPUUtilization metrics on the Amazon DocumentDB console. Next, let’s look at how to use CloudWatch to monitor metrics and set alarms. Viewing metrics on the CloudWatch console A more powerful tool to view metrics is through the CloudWatch console. CloudWatch is a monitoring service for virtually all AWS services, not just Amazon DocumentDB. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications running smoothly. To view CloudWatch metrics on the CloudWatch console, we set up a CloudWatch dashboard and populate it with metrics for storage and CPU utilization. The dashboard enables you to monitor resources in a single view and customize the display with graphs and components beyond the metrics we covered in the previous method. For more information, see Using Amazon CloudWatch Dashboards. To create the dashboard, complete the following steps: On the CloudWatch console, in the navigation pane, choose Dashboards. Choose Create dashboard. Enter a name for the dashboard. Choose Create dashboard. Select a widget type to configure (widgets are components in the dashboard and are needed to display the metric values). For this post, choose Line. Choose Next. When prompted to choose a data source, choose Metrics. Choose Configure. On the All metrics tab, select DocDB. Choose a metric dimension (for example, Cluster Metrics). Choose the VolumeBytesUsed metric. VolumeBytesUsed is the amount of storage used by your cluster in bytes. The dashboard aggregates metrics from all clusters, so be sure to select the appropriate cluster. Choose Create widget. You should see the VolumeBytesUsed metric on your dashboard. Now we add the CPUUtilization metric to the dashboard. CPUUtilization tells us the percentage of CPU used by the cluster. Choose Add widget and repeat the previous steps, replacing the VolumeBytesUsed metric with CPUUtilization. When you’re finished, your dashboard should look similar to the following screenshot. Choose Save dashboard. Congratulations! You now have a dashboard to quickly view your cluster’s storage capacity and CPU utilization. You can also use AWS CloudFormation to provision resources quickly and consistently, and manage them throughout their lifecycles, by treating infrastructure as code. In this link you can download an example CloudFormation template to build a CloudWatch dashboard for an Amazon DocumentDB cluster. In the next section, we show how to create an alarm when one of the metrics crosses a threshold. Creating an alarm notification with CloudWatch In this section, we show how to create an alarm when the CPUUtilization metric goes above a certain threshold (for this post, 80%). We configure the alarm to email a message when this threshold is breached. To set up the alarm, do the following: On the CloudWatch console, in the navigation pane, choose Alarms. Choose Create alarm. Choose Select metric. On the All metrics tab, select DocDB. Choose a metric dimension (for example, Cluster Metrics). Find the CPUUtilization metric and choose Select metric. Enter a meaningful metric name (for this post, we keep the name as CPUUtilization). For Statistic, keep the default value (Average). Depending on what you want to measure, you could also choose Sum, Maximum, or Minimum. For Conditions, enter 80. This is our numerical threshold, which triggers the alarm whenever the CPUUtilization metric crosses 80%. Choose Next. Choose Create new topic. Enter a unique topic name (for example, email-test). For Email endpoints that will receive the notification, enter the destination email. Choose Create topic. To subscribe to the notification, you need to check your destination email for an automated message from Amazon SNS. The email contains a link to confirm your subscription to the topic. After you confirm your subscription, you can accept automated email alerts. This feature protects end-users from receiving alerts they never signed up for. Choose Next. Enter a name and optional description. Choose Next. Review all the parameters to ensure they are correct. If you need to change anything, choose Edit. When the parameters are to your liking, choose Create alarm. Your console should look similar to the following screenshot, with a list of alarms and their status and condition. You now have a functioning alarm on the dashboard. Whenever the CPUUtilization metric crosses 80% within a 5-minute period, subscribed users receive a notification email. Additional metrics to monitor As a best practice, it’s recommended to set alarms on your overall service bill. On the CloudWatch console, choose Alarms. Choose Billing. Choose Create alarm. Follow the same process outlined in the preceding section to send a notification when the overall bill reaches 50% and 75% of your expected monthly spend. The following table summarizes several other metrics that might be useful to track. NameSpace Metric Description Recommendation Action to Take When Triggered AWS/Billing EstimatedCharges Total charges for all AWS services. Set threshold for 50% and 75% of expected monthly spend. Determine the underlying service consuming charges and reduce consumption where applicable. DocumentDB/Instance BufferCacheHitRatio The percentage of requests that are served by the buffer cache. Set alarm to under 95% for more than a 5-minute period. Consider scaling the instance vertically and replacing it with another instance containing more RAM. DocumentDB/Instance IndexBufferCacheHitRatio The percentage of index requests that are served by the buffer cache. Set alarm to under 95% for more than a 5-minute period. Consider scaling the instance vertically and replacing it with another instance containing more RAM. DocumentDB/Instance DatabaseConnections The number of connections open on an instance taken at a 1-minute frequency. 25,000 (30,000 is the maximum, which is different for every instance size). Check the application and deployment to understand why there are so many connections. Check driver configurations. Check if many containers or AWS Lambda functions have been created for some reason. DocumentDB/Instance DatabaseCursors The maximum number of open cursors on an instance in a 1-minute period. 4,000 (4,560 is the maximum, which is different for every instance size). Check that applications are properly closing cursors explicitly when they are finished with them. DocumentDB/Instance FreeableMemory The amount of available random access memory, in bytes. Under 10% over a 5-minute period. Consider scaling the instance vertically and replacing it with another instance containing more RAM. DocumentDB/Instance CPUUtilization The percentage of CPU used by an instance. Over 80% over a 5-minute period. For read-heavy workloads, consider scaling the cluster horizontally to spread the work among different read replicas. For write-heavy workloads, consider scaling the primary instance vertically. DocumentDB/Cluster DBClusterReplicaLagMaximum The maximum amount of lag, in milliseconds, between the primary instance and each Amazon DocumentDB instance in the cluster. Set alarm if replica is lagging beyond 5 seconds. Check to see if the replica instances are under stress (for example, high CPU, low available memory, or high read latency). DocumentDB/Cluster DatabaseCursorsTimedOut The number of cursors that timed out in a 1-minute period. No alarm; this is informational. Check that applications are properly closing cursors explicitly when they are finished with them. DocumentDB/Cluster VolumeBytesUsed The amount of storage used by your cluster in bytes. No alarm; this is informational. N/A DocumentDB/Cluster VolumeWriteIOPs The average number of billed write I/O operations from a cluster volume, reported at 5-minute intervals. Set an alarm on a number that is over your typical maximum. N/A DocumentDB/Cluster VolumeReadIOPs The average number of billed read I/O operations from a cluster volume, reported at 5-minute intervals. No alarm; this is informational. N/A DocumentDB/Cluster Opcounters See Monitoring Amazon DocumentDB with CloudWatch for a complete list of all opcounters metrics. No alarm; this is informational. N/A Conclusion This post walked through two methods to view cluster- and instance-level metrics. The first method uses the Amazon DocumentDB metrics blade. It’s the easiest and fastest method to view metrics directly on the console, and supports over 50 individual- and cluster-level metrics. The other method uses CloudWatch. This method is slightly more involved, but gives you more insights into the metrics, including the ability to set alarms and notifications. In future posts, we look at how to use AWS CloudTrail service to log auditing events. We also dive deeper into the Amazon DocumentDB profiler tool, which allows you to explore and debug slow running queries. If you have any questions or comments about this post, please use the comments section. If you have any features requests for Amazon DocumentDB, email us at [email protected]. About the Author Ryan Thurston is a Senior Go-To-Market Specialist at AWS. He has been in the Information Technology space for over 20 years and enjoys helping customers solve real world business problems using technology. Ryan began his career as a software developer and wrote his first program in the BASIC programming language. https://aws.amazon.com/blogs/database/monitoring-metrics-and-setting-up-alarms-on-your-amazon-documentdb-with-mongodb-compatibility-clusters/
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Writing your own promise library, and what's new in Angular 6?
#381 — April 13, 2018
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71% off #Building a Portfolio in 90 minutes ( HTML, CSS, Js ) – $10
Level up your web development skills, by creating your portfolio , with this project-based video tutorial
All Levels, – Video: 1.5 hours Other: 29 mins, 23 lectures
Average rating 4.0/5 (4.0)
Course requirements:
HTML and CSS basics Download and install a modern web browser like Chrome Download and install a code editor like Sublime Text 2 or 3, Notepad++, Coda or Dreamweaver – any code editor will be just fine
Course description:
***Message me for Coupon Codes***
Create your online portfolio with this project-based tutorial.
Bootstrap 3 is a lightweight and responsive framework for a better and faster mobile-friendly web development.
– By the end of the course, you will be well-versed with most of the Bootstrap built-in CSS and components. You will be ready to design sleek, mobile-ready websites with HTML and CSS
Lessons include topics like:
How to use the 12-column Grid System Adding and customizing links and buttons Using the pseudo-class :hover to create cool hover effects The video lessons will walk you through every process step-by-step. Join me to create your portfolio & learn about the most popular open-source responsive framework Bootstrap 3.
Full details You will learn to build complexe and dynamic site layouts with the 12-column Grid System You will learn how to design your site quickly with CSS buill-in classes and other functional components You will learn how to override the Boostrap styling with your custom style By the end of the course, you will have a fully functional wepage. The final template is customizable and can be used as on online portfolio
Full details This class is for beginner and intermediate level This class is for anyone willing to learn about fast web developement and rapid prototyping The course is designed for anyone willing to learn about the most popular responsive framework
Reviews:
“Highly recommended” (Priyanka)
“cool, I built my portfolio website only in 1 hour!” (Jang Mi Kyung)
“Quick, simple and straight forward I liked this.” (LuisMa Suarez)
About Instructor:
Samarth Paboowal
CODING is my Passion first, hobby second and job third! I am Full Stack Developer from last two years and I love building scalable web applications and modern websites with new technologies.I started with my web development with PHP and then I moved on to FULL Stack JavaScript which basically includes MEAN STACK. MEAN => MongoDB as a database, ExpressJs as server framework, AngularJs as front-end framework and NodeJs for backend work. My aim is to teach each and everyone how to CODE!! I thus bring to Udemy my experience in Full Stack Development and to teach you how to become a better developer to solve real world challenges.
Instructor Other Courses:
Ultimate Python Developer Course – Build Real Applications Python Programming – Build a Reconnaissance Scanner Learn JavaScript from scratch …………………………………………………………… Samarth Paboowal coupons Development course coupon Udemy Development course coupon Web Development course coupon Udemy Web Development course coupon Building a Portfolio in 90 minutes ( HTML, CSS, Js ) Building a Portfolio in 90 minutes ( HTML, CSS, Js ) course coupon Building a Portfolio in 90 minutes ( HTML, CSS, Js ) coupon coupons
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Introducing MongoDB 4.0 compatibility and Transactions in Amazon DocumentDB
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Today we’re announcing compatibility with MongoDB 4.0 for Amazon DocumentDB. With this launch, you can now use atomic, consistent, isolated, and durable (ACID) transactions, open a change stream cursor for a database or cluster, and much more. For the full release notes for Amazon DocumentDB 4.0, see MongoDB 4.0 Compatibility. In this post, I summarize what’s new in Amazon DocumentDB 4.0 and show you how to get started with Amazon DocumentDB 4.0 and transactions using an AWS Cloud9 environment. What’s new in Amazon DocumentDB 4.0? The following are some of the major features and capabilities that were introduced in Amazon DocumentDB 4.0. To see a full list of the new capabilities, see MongoDB 4.0 Compatibility. ACID Transactions – Amazon DocumentDB now supports the ability to perform transactions across multiple documents, statements, collections, and databases. Transactions simplify application development by enabling you to perform ACID operations across one or more documents within an Amazon DocumentDB cluster. For more information, see Transactions. Change streams – You can now open a change stream at the cluster level (client.watch() or mongo.watch()) and the database level (db.watch()). You can also specify a startAtOperationTime to open a change stream cursor, and extend your change stream retention period to 7 days (previously, the limit was 24 hours). For more information, see Using Change Streams with Amazon DocumentDB. AWS DMS – You can now use AWS Database Migration Service (AWS DMS) to migrate your MongoDB 4.0 workloads to Amazon DocumentDB. AWS DMS now supports a MongoDB 4.0 source, Amazon DocumentDB 4.0 target, and an Amazon DocumentDB 3.6 source for performing upgrades between Amazon DocumentDB 3.6 and 4.0. For more information, see Using Amazon DocumentDB as a target for AWS Database Migration Service. Monitoring – With the addition of transactions, you can now monitor your transaction usage with five new Amazon CloudWatch metrics: TransactionsOpen, TransactionsOpenMax, TransactionsAborted, TransactionsStarted, and TransactionsCommitted, in addition to new fields in currentOp, ServerStatus, and profiler. For more information, see Monitoring Amazon DocumentDB with CloudWatch. Performance and indexing – Included in this release are multiple performance and indexing improvements: the ability to use an index with the $lookup aggregation stage, find() queries with projections can be served directly from an index (covered query), the ability to use hint() with the findAndModify API, performance optimizations for $addToSet operator, and improvements to reduce overall index sizes. For more information, see Release Notes. Operators – We have added support for new aggregation operators: $ifNull, $replaceRoot, $setIsSubset, $setInstersection, $setUnion, and $setEquals. For more information, see Supported MongoDB APIs, Operations, and Data Types. Role based access control (RBAC) – With the ListCollection and ListDatabase commands, you can now optionally use the authorizedCollections and authorizedDatabases parameters to allow users to list the collections and databases that they have permission to access without requiring the listCollections and listDatabase roles, respectively. Users can also end their own cursors without requiring the KillCursor role. For more information, see Restricting Database Access Using Role-Based Access Control (Built-In Roles). Getting started with Amazon DocumentDB 4.0 and transactions The first step is to create an AWS Cloud9 environment and an Amazon DocumentDB cluster in your default Amazon Virtual Private Cloud (Amazon VPC). For instructions on creating a default VPC, see Getting Started with Amazon VPC. This post demonstrates how to connect to your Amazon DocumentDB cluster from your AWS Cloud9 environment with a mongo shell and run a transaction. When creating AWS resources, we recommend that you follow the best practices for AWS Identity and Access Management (IAM). The following diagram shows the final architecture of this walkthrough. For this walkthrough, use the default VPC in a given Region. For more information, see Creating a Virtual Private Cloud (VPC). Creating an AWS Cloud9 environment To create your AWS Cloud9 environment, complete the following steps: On the AWS Cloud9 console, choose Create environment. Under Environment name and description, for Name, enter a name for the environment. This post enters the name DocumentDBCloud9. Choose Next step. In the Configure settings section, accept all defaults. Choose Next step. In the Review section, choose Create environment. The provisioning of the AWS Cloud9 environment can take up to 3 minutes. When it’s complete, you see a command prompt. You’re redirected to the command prompt to install the mongo shell and connect to your Amazon DocumentDB cluster. Creating a security group In this step, you use Amazon Elastic Compute Cloud (Amazon EC2) to create a new security group that enables you to connect to your Amazon DocumentDB cluster on port 27017 (the default port for Amazon DocumentDB) from your AWS Cloud9 environment. On the Amazon EC2 console, under Network & Security, choose Security groups. Choose Create security group. For Security group name, enter demoDocDB. For VPC, accept the usage of your default VPC. For Description, enter a description. In the Inbound rules section, choose Add rule. For Type, choose Custom TCP Rule. For Port Range, enter 27017.The source security group is the security group for the AWS Cloud9 environment you just created. To see a list of available security groups, enter cloud9 in the destination field. Choose the security group with the name aws-cloud9-. Accept all other defaults and choose Create security group. The following screenshot shows you the security groups that were created in this step and the AWS Cloud9 security group that was created when you created an AWS Cloud9 environment. Creating an Amazon DocumentDB 4.0 cluster To create your Amazon DocumentDB 4.0 cluster, complete the following steps: On the Amazon DocumentDB console, on the Clusters page, choose Create. For Engine version, choose the default (4.0.0). On the Create Amazon DocumentDB cluster page, for Instance class, choose t3.medium. For Number of instances, choose 1. This helps minimize costs. Leave other settings at their default. In the Authentication section, enter a username and password. Turn on Show advanced settings. In the Network settings section, for VPC security groups, choose demoDocDB. Choose Create cluster. Amazon DocumentDB is now provisioning your cluster, which can take up to a few minutes to finish. You can connect to your cluster when both the cluster and instance status show as Available. While Amazon DocumentDB provisions the cluster, complete the remaining steps to connect to your Amazon DocumentDB cluster. Installing the 4.0 mongo shell You can now install the mongo shell, which is a command-line utility that you use to connect to and query your Amazon DocumentDB cluster. On the AWS Cloud9 console, under Your environments, choose DocumentDBCloud9. Choose Open IDE. To install the 4.0 mongo shell, at the command prompt, create the repository file with the following code: echo -e "[mongodb-org-4.0] nname=MongoDB Repositorynbaseurl=https://repo.mongodb.org/yum/amazon/2013.03/mongodb-org/4.0/x86_64/ngpgcheck=1 nenabled=1 ngpgkey=https://www.mongodb.org/static/pgp/server-4.0.asc" | sudo tee /etc/yum.repos.d/mongodb-org-4.0.repo When it’s complete, install the mongo shell with the following code: sudo yum install -y mongodb-org-shell Transport Layer Security (TLS) is enabled by default for any new Amazon DocumentDB clusters. For more information, see Managing Amazon DocumentDB Cluster TLS Settings. To encrypt data in transit, download the CA certificate for Amazon DocumentDB. See the following code: wget https://s3.amazonaws.com/rds-downloads/rds-combined-ca-bundle.pem Connecting to your Amazon DocumentDB cluster You’re now ready to connect to your Amazon DocumentDB cluster. On the Amazon DocumentDB console, on the Clusters page, locate your cluster. This post uses the cluster docdb-2020-10-09-21-45-11. Choose the cluster you created. Copy the connection string provided. Omit so that you’re prompted for the password by the mongo shell when you connect. This way, you don’t have to type your password in cleartext.Your connection string should look like the following screenshot. When you enter your password and can see the rs0:PRIMARY> prompt, you’re successfully connected to your Amazon DocumentDB cluster. For information about troubleshooting, see Troubleshooting Amazon DocumentDB. When you have connected with the mongo shell, you can discover the version (4.0.0) with the following command: db.version() You get the following output: 4.0.0 Using transactions Now that you’re connected to your cluster with the mongo shell, you can explore using transactions. One of the classic use cases for transactions is debiting money from one person’s account and crediting that money in another person’s account. Because the use case deals with two separate operations in the database, it’s desirable that the two operations run within a transaction and follow the ACID properties. For this post, we transfer $400 from Bob’s bank account to Alice’s bank account. Both accounts begin with $500. To start from with an empty collection, first drop the account collection: db.account.drop() You get the following output: {true, false} Insert data into the collection to represent Bob’s account: db.account.insert({"_id": 1, "name": "Bob", "balance": 500.00}); You get the following output: WriteResult({ "nInserted" : 1 }) Insert data into the collection to represent Alice’s account: db.account.insert({"_id": 2, "name": "Alice", "balance": 500.00}); You get the following output: WriteResult({ "nInserted" : 1 }) To start a transaction, create a session and a session object for the account: var mySession = db.getMongo().startSession(); var mySessionObject = mySession.getDatabase('test').getCollection('account'); mySession.startTransaction({readConcern: {level: 'snapshot'}, writeConcern: {w: 'majority'}}); Within the transaction, debit $400 from Bob’s account: mySessionObject.updateOne({"_id": 2}, {"$inc": {"balance": 400}}); You get the following output: { "acknowledged" : true, "matchedCount" : 1, "modifiedCount" : 1 } Similarly, credit Alice’s account with $400: mySessionObject.updateOne({"_id": 1}, {"$inc": {"balance": -400}}); You get the following output: { "acknowledged" : true, "matchedCount" : 1, "modifiedCount" : 1 } Within the transaction, you can see both updates with the following code: mySessionObject.find() You get the following output: { "_id" : 2, "name" : "Alice", "balance" : 900 } { "_id" : 1, "name" : "Bob", "balance" : 100 } If you view outside of the transaction, the updates aren’t yet visible: db.account.find() You get the following output: { "_id" : 1, "name" : "Alice", "balance" : 500 } { "_id" : 2, "name" : "Bob", "balance" : 500 } Commit the transaction and end the session: mySession.commitTransaction() mySession.endSession() To see the updates, enter the following code: db.account.find() You get the following output: { "_id" : 2, "name" : "Alice", "balance" : 900 } { "_id" : 1, "name" : "Bob", "balance" : 100 } Cleaning up When you complete the walkthrough, you can either stop your Amazon DocumentDB cluster to reduce costs or delete the cluster. By default, after 30 minutes of inactivity, your AWS Cloud9 environment stops the underlying EC2 instance to help save costs. Summary This post introduced you to MongoDB 4.0 compatibility in Amazon DocumentDB and showed you how to get started with Amazon DocumentDB 4.0 and transactions by creating an AWS Cloud9 environment, installing the mongo 4.0 shell, creating an Amazon DocumentDB cluster, connecting to your cluster, and walking through a common use case for transactions. For more information, see MongoDB 4.0 Compatibility and Transactions. For more information about recent launches and blog posts, see Amazon DocumentDB (with MongoDB compatibility) resources. About the author Joseph Idziorek is a Principal Product Manager at Amazon Web Services. https://aws.amazon.com/blogs/database/introducing-amazon-documentdb-with-mongodb-compatibility-4-0/
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Ionic 4 beta, the Web Beacon API, and some golden oldies
#396 — July 27, 2018
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JavaScript Weekly
If you've not ventured to the end of an issue of JavaScript Weekly recently, you'll be missing some of the bonus links or 'golden oldies' we've been running — this issue has a set of 4 older posts we've been seeing getting some fresh love on social media recently, so check those out.
Also, if you want to submit articles or libraries for us to consider use this submissions form or just hit reply :-) Thanks! — Peter Cooper, editor
Logging Activity with the Web Beacon API — The Beacon API is a Web API (supported by all major browsers) that provides an efficient way for data to be asynchronously sent from a page back to a server for logging purposes.
Drew McLellan
Ionic 4 Beta Released: Build Native Apps with Web Tech — The beta release of Ionic 4, a framework for building native apps and PWAs with Web technology, has just landed. 4.0 marks the first version to completely embrace modern Web APIs such as Custom Elements, CSS Variables and Shadow DOM, plus it’s framework-agnostic at its core.
Ionic
Developer Tools for Every Customer Session – New in FullStory — Your browser developer tools are now available for site sessions other than your own. Easily understand performance issues thanks to page speed metrics, network analysis, downloadable HAR files, and comprehensive stack traces on all your visitors’ sessions.
Fullstory sponsor
JavaScript Algorithms and Data Structures — JavaScript examples of many common algorithms (e.g. bit manipulation, Pascal’s triangle, Hamming distance) and data structures (e.g. linked lists, tries, graphs) with explanations. (We linked this a couple of months ago but it has been substantially improved since then.)
Oleksii Trekhleb
ndb: An Improved Debugging Experience for Node — Run your Node code with ndb and get extra, powerful Node debugging features right in Chrome’s DevTools including editing files and setting breakpoints before modules are loaded.
Google Chrome Labs
Build a State Management System with Vanilla JavaScript — Redux, MobX and Vuex can make managing cross-component state trivial, but what would it take to write one for yourself?
Andy Bell
GitHub Finishes Removing jQuery From Its Web Frontend — And they’ve replaced it with.. no specific framework, but judicious use of querySelectorAll, custom elements, polyfills, etc.
Mislav Marohnić on Twitter

SimpleDataTable: A Simple Data Table Control with No Dependencies — Examples. Significantly lighter than the TUI Grid we linked last week.
Piotr Kowalski
💻 Jobs
Lead Engineer (Boston) — Work with smart devs and designers to solve meaningful problems for great clients. React, Vue, Gatsby, WordPress, Craft, and more.
Upstatement
Find A JavaScript Job Through Vettery — Vettery specializes in developer roles and is completely free for job seekers.
Vettery
📘 Tutorials and Opinions
Redux vs. the React Context API — How the new context API in React 16.3 works compared to Redux and why you’d choose one over the other. More like this in today’s React Status newsletter.
Dave Ceddia
Adding Particle Effects to DOM Elements with Canvas — A neat tutorial showing how to create a striking HTML-to-particle effect.
Zach Saucier
A Crash Course on Serverless APIs with Express and MongoDB — A really detailed look at running Express (the Node.js webapp library) in a serverless context.
Adnan Rahić
Want to Know More About Ubuntu 18:04? DigitalOcean Can Help — DigitalOcean offers tutorials, projects and answers to your questions about Ubuntu 18:04.
DigitalOcean sponsor
Hello Vue: A Quick Tutorial on Getting Started with Vue — A quick tutorial on getting started with Vue that includes the use of a component from the Kendo UI library of Vue UI components.
John Willoughby
Building 'Renderless' Vue Components
Samuel Oloruntoba
Crafting a Better User Experience During API Requests
Ryan Baker
Why the New V8 is So Darn Fast
Thorsten Lorenz
Free Video Course: How to Upgrade Cordova Applications to Native
NativeScript sponsor
A Comprehensive Guide to Working with Dates in JavaScript
Flavio Copes
Flow Control in Modern JS: From Callbacks to Promises to Async/Await — One for beginners/learners.
Craig Buckler
🔧 Code and Tools

Vuestic Admin: A Vue.js Admin Dashboard — Built on Bootstrap 4. Live demo.
Epicmax
StealJS 2.0: The 'Futuristic' Dependency Loader and Builder
Matthew Phillips
JSInspect: Detect Copy-Pasted and Structurally Similar Code — A tool for finding those duplicated code smells in your codebase. Supports ES6, JSX and Flow.
Daniel St. Jules
Application Stability Monitoring with Bugsnag — Make data-driven decisions on whether you should be building features, or fixing bugs to stabilize your app.
Bugsnag sponsor
jsQR: A Pure QR Code Reading Library — Live demo. It’s incredibly fast.
Cosmo Wolfe
Angular 6.1 Released — A minor release that’s a drop-in replacement for Angular 6.0. TypeScript 2.8 and 2.9 support has been added.
Stephen Fluin (Google)
excel4node: An Excel Spreadsheet (XLSX) Generation Library — Conforms to the ECMA-376 OOXML specification 2nd edition and the examples in the documentation are quite thorough.
Nathan (Nater) Jorde
Unswitch: An Event Handler for Nintendo Switch Controllers on the Web — Based on the Gamepad API.
Colin van Eenige
☀️ Some Summery JavaScript Golden Oldies
JavaScript Scope and Closures: A Useful Primer/Explainer — A true golden oldie if you want to nail down your knowledge of scope and closures.
Zell Liew
Debugging Tips and Tricks for Front-End Developers — A fantastic round-up of concepts, tools, and things to consider.
Sarah Drasner
Modern JavaScript for Ancient Web Developers — “Doing is learning. Doing it badly? It’s still learning. Learning modern JavaScript these days can feel like a futile exercise in WTF.”
Gina Trapani
Babel Time Travel: See Babel Transformations Step by Step — Click “Compile” on the right then skim along the bottom.
Boopathi Rajaa
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#375: webpack 4.0 Released, and a New Design for Us
This week's JavaScript news
#375 — March 2, 2018
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JavaScript Weekly
Don't adjust your sets - we've been tweaking the design.
Yes, JavaScript Weekly is sporting an updated design. We've been testing it on some of our other newsletters (like React Status and Database Weekly) and it's giving us the opportunity to provide more variety and visual interest.
Any feedback or items you want to submit for next week, hit reply, but otherwise enjoy the issue. We'll be trying out a variety of ideas over the coming weeks :-) — Peter Cooper, editor
webpack 4.0 Released — The popular module and asset bundler is now faster and has new development and production modes with pre-defined settings so you can start quicker too. You might also enjoy a tutorial for using it with Vue.js, a look at the chunk graph improvements, or what the new ‘modes’ do.
Sean T. Larkin
Propel: A Scientific Computing Framework for JS — A NumPy-like framework for mathematical work in JavaScript that can lean on TensorFlow for performance. Works with both Node and in the browser (using WebGL).
Ryan Dahl and Bert Belder
The Future of JavaScript: 2018 and Beyond — What is the state of the JavaScript ecosystem? This whitepaper offers our future-looking analysis and predictions about the latest in JavaScript. We also look back at all the craziness from 2017 and neatly tie it together with a bow. Download now.
Progress sponsor
The Lost Art of the Makefile — It might not be trendy, but GNU Make does a lot of heavy lifting in the open source world and.. you can even use it to build JavaScript projects too.
Jesse Hallett
▶ In The Loop: A Tour of the Event Loop — A 35 minute talk looking at the browser event loop, the thing that orchestrates the main thread of the browser, which includes JS, events, and rendering.
Jake Archibald video
Tracing From JS to the DOM and Back Again with V8 — Debugging memory leaks in Chrome has become much easier now that Chrome 66’s DevTools can trace C++ DOM objects and display all reachable DOM objects from JavaScript with their references. In other V8 news, lazy deserialization has reduced V8’s memory consumption by 500KB+ per tab.
Degenbaev, Filippov, et al.
Jobs
Senior Front End Engineer at Plectica (New York, NY) — Come build a beautiful collaborative platform for visual brainstorming & thinking with SVG, WebSockets and all sorts of other fun.
Plectica
Product Engineer — We're looking for a front-end-focused engineer who cares about product design, UX and collaboration to join an exceptional team.
Quip
Find a Job You're Passionate About — Vettery connects you directly to hiring managers at over 4,000 top companies. Make a profile today and land your dream job.
Vettery
Articles and Tutorials
The Origin Story of ESLint — The tale of how a popular linting tool came to be.
Nicholas C Zakas
How to Create an Accessible Autocomplete Component with Vue.js
Filipa Lacerda
TypeScript - JavaScript with Superpowers? — A very elementary introduction to the benefits of TypeScript.
Indrek Lasn
The Webpack 4.0 Release: What's New? — A quick roundup of the features and improvements.
Prosper Otemuyiwa
Ember's Equivalent of React's Render Props
David Tang
Learn to Build JavaScript Apps with MongoDB in M101JS, MongoDB for Node Developers
mongodb sponsor
🎬 Videos, Screencasts and Talks
▶ WebAssembly: What and What Next? — Two Googlers cover WebAssembly right from the basics up.
Ben Titzer and Andreas Rossberg
▶ JavaScript Pranks — A 5 minute tour of the JavaScript behind a truly annoying Web site.
Feross Aboukhadijeh
🔧 Code and Tools
Speed Measure Plugin: Measure Your webpack Build Speed — See how fast (or not) your plugins are so you can optimize your builds.
Stephen Cook
Pagedraw: A Tool to Turn Sketch Mockups into React Apps
Prepack: A Partial Evaluator and Optimizer for JavaScript
Facebook
vue-cli: A CLI for Faster Vue.js Development
The Vue.js Project
Fix JavaScript Bugs Like a Boss 🛠 — Get real-time monitoring, alerting, analytics for JavaScript errors, and worry less about breaking things. Learn more.
ROLLBAR sponsortools
basicScroll: Standalone Parallax Scrolling with CSS Variables — Use dynamically changing CSS variables to animate whatever you want.
Tobias Reich
Flatbush: Fast Static Spatial Index for 2D Points and Rects
Vladimir Agafonkin
Delighters.js: Trigger CSS Animations as a Page is Scrolled
Q42
Get the Best, Most Complete Collection of Angular UI Controls: Wijmo — Wijmo’s dependency-free UI controls include rich declarative markup, full IntelliSense, & the best data grid.
GrapeCity Wijmo sponsor
Tippy.js: A Lightweight, Vanilla JS Tooltip Library
Prompts: Attractive Interactive Prompts for Node CLIs
Terkel Gjervig Nielsen node
FilePond: A Flexible JS File Uploader with Great UX — It's GPLv3 licensed so take care in where you use it unless you get a commercial license.
Rik Schennink
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