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Web monitor linux

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Tutorial: How To Install and Configure Prometheus 2. Grafana is one of the best open-source monitoring dashboards. Also, it has very good integration with tools like Grafana for visualizing metrics. Prometheus can collect system metrics, application metrics, and metrics from modern containerized applications. It handles alerting for all alerting rules configured in Prometheus. The alert manager is another component of Prometheus. The PromQL system analyzes data and permits the program to produce plots, tables, and other graphics on the systems it monitors. It is able to assemble several metrics on servers, kubernetes, and various devices using SNMP pings and inspect network bandwidth usage from the device point of view, along with the other functions. It is an ideal monitoring setup for containerized environments like kubernetes and the best open-source server monitoring tool. It enables users to set up monitoring capabilities by utilizing the in-built toolset. Prometheus is an open-source monitoring solution primarily fixated on data gathering and analysis based on time-series data. Let’s take a look at the top-rated open-source monitoring tools and see what works for you! 1.
#Web monitor linux free#
Numerous absolutely free and open-source network monitoring tools can be considered while looking for monitoring solutions. Support all modern cloud and containerized applications.Able to provide long-term insights for better capacity planning.Collect system/application metrics in real-time.Able to handle and process huge amounts of monitoring data.Detect service outages and unauthorized activities.Provide indicators on outages and service degradation.Professional or Business-grade tech solutions are generally regarded as costly, but that’s not necessarily always the case.įollowing is the key list of key indicators for the best monitoring software. What are the Best Opensource Monitoring Tools? Cloud Infrastructure monitoring (Public & Private).Container Monitoring ( Docker/ Kubernetes/Mesos etc.).All modern cloud and on-premise infrastructure come with the best monitoring solutions.Īlso, when it comes to DevOps, monitoring, and observability plays a key role in the team’s performance.įollowing are the key areas when it comes to monitoring. Regardless of the company’s size, one cannot ignore the need for Server, network, and infrastructure monitoring using the best monitoring tool. Monitoring various aspects of the IT infrastructure can be quite pesky and cause many difficulties if not done properly. Monitoring is necessary for businesses to make sure that the required system is up and working.

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Ansible Vs. Kubernetes
What Is Ansible?
The best definition comes, not surprisingly, from the software’s developers: “Ansible is a radically simple IT automation engine that automates cloud provisioning, configuration management, application deployment, intra-service orchestration, and many other IT needs.”
Ansible is an open-source software solution that doesn’t depend on the typical client-server model. Ansible’s designers tout it as the only automation engine that automates everything in the whole application lifecycle as well as the continuous delivery pipeline. Difficult and time-consuming processes get changed into repeatable playbooks, which increases production speed while bringing a much-needed element of simplicity.
Ansible’s name comes from a science fiction story, used to describe an instantaneous hyperspace communications system.
Ansible requires a Linux/Unix host (e.g., Debian, Red Hat Enterprise Linux, CentOS, macOS, BSD) as its control machine. Also, Ansible uses the Python programming language, versions 2.7 or 3.5. Ansible runs on several cloud platforms, including:
Amazon Web Services (AWS)
Atomic
CenturyLink
Cloudscale
CloudStack
DigitalOcean
Dimension Data
Docker
Google Cloud Platform
KVM
Linode
LXC
LXD
Microsoft Azure
OpenStack
OVH
oVirt
Packet
Profitbricks
PubNub
Rackspace
Scaleway
SmartOS
SoftLayer
Univention
VMware
Webfaction
XenServer.
Ansible’s features include:
Simplicity
You don’t need any unique coding skills to use Ansible’s playbooks. Ansible is easy to set up. Just run the shell script once, and you’re good to go.
Power
Ansible handles highly complex IT workflows.
Zero Cost
Ansible is a free, open-source software solution.
Flexibility
You can orchestrate the entire application environment no matter where you want to deploy it. Since it has hundreds of modules available, you can customize Ansible to fit your unique needs.
Easy to Use Playbooks
Most of the playbooks are written in YAML, making them easy to edit and read.
Agentless Installation
You can set Ansible up in minutes using OpenSSH. You also don’t need to set up agents on remote servers.
Efficiency
Ansible doesn’t require you to install any extra software, so there are more resources to dedicate to your other applications.
What Is Kubernetes?
Kubernetes is a container as a service (CaaS) project released by Google. According to a blurb on the developer’s website, “Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services that facilitates both declarative configuration and automation.” The automation aspect improves the development processes of the overall applications.
“Kubernetes” is a Greek word meaning a pilot or helmsman.
Kubernetes uses the Go programming language. Like Ansible, it runs on many different cloud platforms, including:
AWS
Azure
CloudStack
GCE
OpenStack
OVirt
Photon
VSphere
IBM Cloud Kubernetes Service
Baidu Cloud Container Engine.
Kubernetes’ features include:
Container Balancing
The Kubernetes platform calculates the best location for a given container without requiring any user interaction.
Flexibility
Because Kubernetes is an open-source cloud-based tool, it’s portable and offers multiple environment flexibility, meaning it can run on public cloud systems, on-premises servers, or hybrid clouds.
Zero Cost
Kubernetes is a free, open-source platform.
Process Automation
Kubernetes can automatically decide which server will host any given container.
Self-Monitoring
Kubernetes stays vigilant, maintaining constant checking of the servers’ and containers’ health.
Scalability
It provides horizontal scaling, allowing companies and organizations to quickly scale-out storage, fitting their workload needs.
Storage Orchestration
Kubernetes integrates with most storage systems; for example, you can combine it with an AWS Elastic File System.
Do These Tools Have Any Drawbacks or Disadvantages?
Of course, they do! No tool is flawless, including Ansible and Kubernetes. Each has its share of obstacles and difficulties.
Ansible’s user interface leaves a lot to be desired. The UI executes only 85 percent of the commands that are usually run on the command line. While 85 percent sounds like a good figure, a decent UI gives you nothing less than 100 percent.
Furthermore, Ansible has no notion of the state; it just runs tasks sequentially until it’s done or encounters an error.
Also, Ansible’s Windows support still has a lot of catching up to do. You still need a Linux control machine to manage Windows hosts.
Finally, since it’s still a relative newcomer to the DevOps scene, Ansible has less experience in delivering support to enterprise-level users and the smallest user/developer community. That latter deficiency makes it tougher for users to perform troubleshooting tasks.
Kubernetes isn’t perfect either. It reportedly has a steep learning curve. Even the most experienced DevOps professionals encounter difficulty trying to figure out the platform’s ins and outs. Kubernetes users should be familiar with the entire cloud-native ecosystem as a whole.
Kubernetes is challenging to install and configure manually since you will need to configure security and multi-host networking; attach storage; and enable monitoring, auditing, and logging.
Also, Kubernetes doesn’t have a default high availability (HA) mode, so you have to configure your HA to create a fault-tolerant cluster manually.
If these disadvantages appear intimidating, then you can always hire some Kubernetes experts to round out your team and handle these challenges. Hiring more personnel, of course, leads to the final disadvantage: spending additional money to recruit some dedicated Kubernetes talent. While this is a good thing for professionals who are looking for work in the DevOps field, it’s a pain for companies that are trying to adhere to a fixed budget.
How Are These Two Tools Alike?
Kubernetes and Ansible don’t have much in common. Both of them are cost-effective since they’re both open-source software. Additionally, they’re both touted as being powerful yet easy to use. Still, there’s little chance of confusing one for the other!
What Is the Major Ansible vs Kubernetes Differences?
The differences between these two products are profound. Ansible is an IT automation tool that deploys software, configures systems, and organizes more complex IT functions such as rolling updates or continuous deployments. On the other hand, Kubernetes is a system designed to orchestrate Docker containers. It manages workloads and uses nodes to handle scheduling to make sure that their condition matches the users’ expectations.
In other words, Ansible deploys changes to hosts, while Kubernetes manages containers and keeps them working properly.
Ansible is an excellent useful tool for front-end developers, particularly in situations where some programming is required. Kubernetes is best suited to developing larger apps.
Based on the properties of both tools, it’s like comparing apples to oranges. Granted, they’re both DevOps tools that handle configuration management, but the purposes for which they’re used have minimal overlap.
Just How Popular Are These tools?
Each solution has its share of adherents. AppDirect, Bose, Comcast, eBay, Google, IBM, Nav, Nokia, Philips, Slack, Spotify, Unicom, and many more use Kubernetes.
Ansible’s following, on the other hand, consists of customers like Capital One, Cisco, HootSuite, NASA, NEC, Twitter, and Verizon, among others.
Since both tools tend to operate in different circles, it’s hard to compare their popularity in a head to head matchup. However, Ansible is the most popular configuration tool, commanding a 41 percent rating over similar tools like Chef and Puppet, according to Flexera’s RightScale 2019 State of the Cloud Report.
Kubernetes, meanwhile, has become the darling of the container management systems, beating out competitors such as Docker Swarm and Apache Mesos, according to an article from Opensource. The main reason for Kubernetes’ popularity has to do more with the size of the community that supports it, according to an article from Container Journal.[Source]-https://www.simplilearn.com/ansible-vs-kubernetes-article
Basic & Advanced Kubernetes Training using cloud computing, AWS, Docker etc. in Mumbai. Advanced Containers Domain is used for 25 hours Kubernetes Training.
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Dharmesh Thakker Contributor
Dharmesh Thakker is a general partner at Battery Ventures and a former managing director at Intel Capital.
More posts by this contributor:
How viral open-source startups can build themselves into enterprise-IT powerhouses
The Money In Open-Source Software
Max Schireson Contributor
Max Schireson is the former CEO of open-source database company MongoDB and is currently an executive-in-residence at Battery Ventures.
More posts by this contributor:
The Money In Open-Source Software
Dan Nguyen-Huu Contributor
Dan Nguyen-Huu is an associate at Battery Ventures.
More posts by this contributor:
How viral open-source startups can build themselves into enterprise-IT powerhouses
Many of todays hottest new enterprise technologies are centered around free, open-source technology. As a result, many big companies from financial giants to retailers to services firms are building their businesses around new, community-based technology that represents a sea change from the IT practices of the past.
But how can corporate customers and investors evaluate all these new open-source offerings? How can they tell which projects (often strangely named: Ansible, Vagrant, Gradle) are generating the most customer traction? Which ones have the biggest followings among software developers, and the most potential to capture market share?
These questions are especially tough to answer because most open-source companies are still private, and dont have to disclose key user and financial metrics. (Though thats changing open-source giant Cloudera recently announced plans to go public, increasing the markets focus on open-source technology.)
Thats why we decided to create a new, detailed index to track popular open-source software projects, and gain some insights into the new companies powered by these technologies. It is the Battery Open-Source Software Index (BOSS Index), which weve spent months putting together with publicly available information and are introducing here. We hope to update it quarterly and the index should gain more relevance as more open-source companies using some of these projects grow and go public.
The index contains 40 open-source projects, gleaned from an initial scouring of projects listed on the GitHub source-code repository site, as well as Datamation, an enterprise-IT publication that also tracks open-source projects. The top 25 are listed below, and the full list can be found on our website.
We focused on projects in enterprise IT-related areas like IT operations, including technology powering operating and provisioning systems; data and analytics, including tools for artificial intelligence and machine learning as well as databases; and DevOps, which includes projects focused on the hot new trend of containers, which help people develop software quickly in a sort of self-contained environment.
THE BATTERY OPEN-SOURCE SOFTWARE INDEX Rank Project Name Overall Project Rating Category Sample of Related Companies 1 Linux 100.00 IT Operations Red Hat, Ubuntu 2 Git 31.10 DevOps GitHub, GitLab 3 MySQL 25.23 Data & Analytics Oracle 4 Node.js 22.75 DevOps NodeSource, Rising Stack 5 Docker 22.61 DevOps Docker 6 Hadoop 16.19 Data & Analytics Cloudera, Hortonworks 7 Elasticsearch 15.72 Data & Analytics Elastic 8 Spark 14.99 Data & Analytics Databricks 9 MongoDB 14.68 Data & Analytics MongoDB 10 Selenium 12.81 DevOps Sauce Labs, BrowserStack 11 NPM 12.31 DevOps NPM 12 Redis 11.61 Data & Analytics Redis Labs 13 Tomcat 11.04 IT Operations NA 14 Jenkins 10.47 DevOps CloudBees 15 Vagrant 8.15 IT Operations HashiCorp 16 Postgres 8.02 Data & Analytics EnterpriseDB 17 Gradle 7.68 DevOps Gradle 18 Nginx 7.57 IT Operations Nginx 19 Ansible 7.42 IT Operations Ansible 20 Kafka 7.22 Data & Analytics Confluent 21 GitLab 6.42 DevOps GitLab 22 Hbase 6.41 Data & Analytics Cloudera, Hortonworks 23 Chef 6.37 IT Operations Chef* 24 TensorFlow 5.97 Data & Analytics Google 25 Cassandra 5.74 Data & Analytics DataStax
Companies ranked according to four factors. Overall project rating represents the geometric mean of two of the four individual scores, which reflect online discussion activity; search activity; jobs impact; and GitHub activity. All data is as of February 9, 2017.
There are some very well-known names on the list, including projects that have spawned big companies. They include Linux, which underlies Red Hat; MySQL, which powers the company of the same name and was bought by Sun Microsystems (now part of Oracle) for $1 billion in 2008; and Hadoop, which brought us Cloudera and Hortonworks.
But some more-obscure names, like Selenium, also rank highly, indicating there is plenty of grassroots innovation happening in the open-source sector and many new projects out there that are spawning valuable companies. Still, our research also found that having lots of users for your open-source project does not automatically translate into creating a commercially viable company.
We ranked the projects according to four factors, which included:
Public interest in the project, as measured by Google search activity;
User activity, gauged by mentions of the projects on the popular tech-discussion board Stack Overflow;
Jobs impact, measured by the number of job postings citing each open-source project listed on the job boards Indeed and Simply Hired; and
Impact in the open-source community, tracked by measuring a projects influence on GitHub. Specifically we tracked the number of forks, or extensions, built on each project; the number of GitHub stars a company received, indicating its popularity; and the number of watches, another popularity indicator, all as of February 9, 2017.
Because some projects may have done extremely well, or poorly, on certain criteria perhaps one had an off-the-charts Google search number, but a sub-par job-postings score we threw out the top and bottom individual-criteria scores for each project. This is a methodology called trimmed mean, and its similar to what happens in Olympic gymnastics, where officials throw out an athletes highest and lowest scores from each judge and average the remaining ones. (We had no East German judges in our competition, but we are being careful.)
Even so, theres always room for improvement. Some adoption and popularity criteria, such as download metrics, are obviously somewhat difficult to measure, and surely we havent captured all the hottest, new emerging tools. Though with our planned quarterly updates, we should be able to track new leaders as they emerge. So wed love feedback from the community to improve our numbers, and the index, over time. Please let us know at [email protected] if you have further insights into any of these metrics.
Here are some other key takeaways from our research.
Linux, Git, MySQL lead the pack
Perhaps not surprisingly, the open-source project leading our index is Linux, technology that was first released in 1991 and is one of the most widely adopted open-source projects in the world. It is commercialized by companies, including Red Hat, one of the few open-source companies to trade publicly, as well as Ubuntu and SUSE.
Having lots of users for your open-source project does not automatically translate into creating a commercially viable company.
Git, which came in at No. 2 on the list, inspired GitHub and GitLab. The wildly popular open-source project serves as a version-control system for tracking changes and coordinating work between software developers.
Also high on the list, at No. 3, was MySQL, the database technology first developed in 1995. MySQL currently helps run huge, Web-scale companies like Google, Facebook and Twitter. But its also worth noting that several NoSQL database technologies which are non-relational databases, unlike MySQL, and are often better suited for parsing the unstructured data being thrown off by many companies today also ranked highly.
These NoSQL technologies include MongoDB, which came in at No. 9 in our index; Redis, which is being commercialized by company Redis Labs, at No. 12; Cassandra, which came in at No. 25 and is behind the database company DataStax; and Elasticsearch at No. 7, which is being commercialized by Elastic.
MongoDB raised a new round of financing in late 2015 the company is estimated to be valued at around $1.5 billion and now competes against established database players like Oracle, IBM and Microsoft. Overall, several of these NoSQL vendors are growing independently of one another quite quickly in some cases rather than converging into one giant system. This points to further fragmentation in the broader data-infrastructure sector, and could lead to the creation of several strong NoSQL players that could be public companies in the future.
Big data fuels open source
As many organizations struggle to manage huge volumes of structured and unstructured data today generated by everything from security software to tweets to Web-enabled sensors in manufacturing plants they are increasingly looking for new data-management and storage solutions. That trend is reflected in our index, as more than a dozen (15) of the 40 projects included are open-source technologies powering databases and data processing.
Hadoop, mentioned previously, is one such technology. But Spark, which is commercialized by companies like Databricks, is another, and ranked eighth on our list.
Other names to know
Docker, the container-technology darling that has helped make software development quicker and more efficient, came in at No. 5 in our index. Many view Docker as a possible replacement for technology from public giant VMware, and the fact that Docker can be easily and cheaply accessed through the open-source community has fueled its adoption.
Docker is also competing with open-source platform technologies like Googles Kubernetes (No. 33) and Mesos to control the orchestration layer in software development, or the ability to manage containers across different software environments.
These open-source projects are not your fathers Sun or Oracle.
Another hot area for open source is continuous integration and continuous delivery, or the ability to write software with code that continuously and seamlessly integrates with other platforms. Some tools in this area include Jenkins (No. 14), which is commercially supported by CloudBees, and TravisCI. In the related DevOps area are technologies such as Maven (No. 30), as well as the fast-growing Artifactory binary repository, a software tool designed to optimize the download and storage ofbinaryfiles, a platform commercialized by JFrog.*
Making it rain
But as we noted earlier, having lots of users while essential to eventually gaining commercial traction does not guarantee that an open-source project will make a good business. That takes a lot of hard work and creativity, particularly in structuring new types of business models; leveraging complicated open-source licenses; and tweaking traditional enterprise-sales practices to fit an open-source product, as we discussed in TechCrunch last year.
Whats more, weve found that the chances for commercial success for IT companies leveraging open source can sometimes increase if they offer several open-source technologies that can be used together in a sort of stack. Elastic has the ELK stack, for example, consisting of the open-source Elasticsearch (No. 7 in our index), Kibana (No. 36) and Logstash (No. 29) projects.
Time-series database company InfluxData,* similarly, sells versions of the TICK stack that stands for Telegraf, InfluxDB, Chronograf and Kapacitor. DevOps company HashiCorp, in one final example, has commercialized many open-source projects, including two that made our list, Vagrant (No. 15) and Vault (No. 40). Software developers like to be able to pick their favorite components from these stacks, in keeping with the best of breed product mentality that dominates software development today.
These open-source projects are not your fathers Sun or Oracle. But clearly, CIOs at major global companies now rely on open-source technologies including many of the ones highlighted in our index to run key segments of their infrastructure, and many of these projects are going to be around for the long haul. Indeed, at an open-source summit that we hosted last year, IT executives from large companies ranging from Goldman Sachs to Capital One discussed their open-source first attitude when it comes to deploying new software and infrastructure. And as more open-source-based companies go public in the coming years, well get even more information about how these top projects are performing, and will continue to track their progress and influence on the industry.
*Denotes a Battery portfolio company.
Nothing here is, or should be considered, investment advice or any recommendation or solicitation to buy or sell any security. Certain information in this article has been obtained from third-party sources and, although believed to be reliable, has not been independently verified as to its accuracy, and its completeness cannot be guaranteed.
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