#cloudwatch

[alice-blogs-things]

Incorrect TMA Quotes

Jon: Okay, Martin, for real this time, no bullshit. Do you think we moved in together too fast? Martin: Yes, obviously. Jon: Yeah, me too. Do you wanna stay together anyway? Martin: Yes, obviously. Jon: Yeah, me too. [Pause] Was that the entire conversation? Martin: I think it was! Jon: That was so easy! Martin: We are so stupid!

[one3erver]

Elastic Load Balancer: تعادل‌ساز بار در دنیای هاستینگ و سرورها

در دنیای امروز که هاستینگ ابری (Cloud Hosting)، مقیاس‌پذیری سرورها، بالانس ترافیک وب‌سایت‌ها، سرویس‌های ابری و امنیت زیرساخت شبکه‌ای از مهم‌ترین دغدغه‌های کسب‌وکارهای آنلاین هستند، استفاده از Elastic Load Balancer (یا به اختصار ELB) به یک ضرورت تبدیل شده است. اگر یک وب‌سایت یا اپلیکیشن دارید که روزانه با هزاران یا میلیون‌ها درخواست سر و کار دارد، باید یاد بگیرید چطور از ELB برای مدیریت بهتر منابع خود بهره ببرید.

ELB چیست و چرا به آن نیاز داریم؟

Elastic Load Balancer یک سرویس ارائه‌شده توسط آمازون (AWS) و برخی دیگر از شرکت‌های بزرگ ابری است که وظیفه‌اش توزیع هوشمندانه‌ی ترافیک میان چند سرور است. به‌عبارت ساده‌تر، وقتی چند کاربر هم‌زمان وارد سایت یا اپلیکیشن شما می‌شوند، ELB به‌صورت خودکار تصمیم می‌گیرد که این ترافیک بین چه سرورهایی تقسیم شود تا فشار روی یک سرور خاص زیاد نشود.

انواع Elastic Load Balancer

آمازون سه نوع اصلی از ELB ارائه می‌دهد که هر کدام کاربرد خاص خود را دارند: 1. Classic Load Balancer (CLB) مناسب برای پروژه‌های سنتی و اپلیکیشن‌هایی که از پروتکل‌های پایه‌ای مانند HTTP و TCP استفاده می‌کنند. 2. Application Load Balancer (ALB) مناسب برای برنامه‌های مدرن و مبتنی بر HTTP/HTTPS با قابلیت‌هایی مثل مسیریابی بر اساس محتوای URL، لایه هفتم (Application Layer). 3. Network Load Balancer (NLB) برای سرویس‌هایی که نیاز به پرفورمنس بالا و تاخیر کم دارند. در لایه‌ی چهارم شبکه (TCP) کار می‌کند.

مزایای استفاده از ELB

- مقیاس‌پذیری بالا بدون نیاز به مداخله‌ی انسانی - افزایش در دسترس بودن سرویس‌ها - امنیت بیشتر با استفاده از گواهی‌های SSL/TLS - مسیریابی هوشمندانه ترافیک به سالم‌ترین سرور - ادغام کامل با سرویس‌های مانیتورینگ و لاگینگ مثل CloudWatch

مقیاس‌پذیری سرورها

موارد استفاده‌ی ELB در هاستینگ

در صنعت هاستینگ، به‌ویژه وقتی بحث درباره‌ی هاست‌های ابری یا اختصاصی پیش می‌آید، ELB نقش کلیدی ایفا می‌کند. شرکت‌هایی که خدمات هاست ابری مقیاس‌پذیر ارائه می‌دهند، معمولاً از Load Balancer استفاده می‌کنند تا بار ترافیکی بین ماشین‌های مجازی یا کانتینرهای م��تلف تقسیم شود. این باعث می‌شود کاربران نهایی تجربه‌ی سریع‌تر و پایدارتری داشته باشند.

ارتباط ELB با امنیت و مانیتورینگ

Elastic Load Balancer می‌تواند در کنار WAF (Web Application Firewall) استفاده شود و جلوی حملات رایج مثل DDoS و SQL Injection را بگیرد. همچنین به‌کمک CloudWatch یا دیگر ابزارهای مانیتورینگ، می‌توان وضعیت سلامت هر سرور را لحظه‌ای بررسی کرد.

امنیت زیرساخت

نقش وان سرور در ارائه‌ی سرویس‌های مرتبط با ELB

وان سرور به‌عنوان یکی از ارائه‌دهندگان پیشرو در خدمات زیرساخت و هاستینگ، امکان راه‌اندازی سرور ابری با قابلیت Load Balancer را در اختیار کاربران خود قرار می‌دهد. اگر قصد دارید وب‌سایت یا اپلیکیشن خود را بر روی چند سرور به‌صورت موازی اجرا کنید و از مزایای توزیع ترافیک بهره ببرید میتوانید از خدمات وان سرور استفاده کنید.

نتیجه‌گیری

Elastic Load Balancer فقط یک ابزار نیست؛ بلکه ستون فقرات زیرساخت‌های مقیاس‌پذیر و پایدار امروزی‌ست. اگر دنبال سرعت بالا، دسترسی دائمی، امنیت بیشتر و کارایی بالاتر هستید، بدون شک ELB یکی از مؤثرترین راهکارهای شما خواهد بود. Read the full article

[codeonedigest]

CloudWatch Metrics Made Simple with Real-time Monitoring                        Full Video Link -    https://youtu.be/3JBLgWFQ0cY                    Check out this new video on the CodeOneDigest YouTube channel! Learn how to use #cloudwatch for application health monitoring. How to create custom #metrics in AWS cloudwatch? Learn about cloudwatch #APM tool.@codeonedigest @awscloud @AWSCloudIndia @AWS_Edu @AWSSupport @AWS_Gov @AWSArchitecture

[govindhtech]

Amazon CloudWatch: The Solution For Real-Time Monitoring

What is Amazon CloudWatch?

Amazon CloudWatch allows you to monitor your Amazon Web Services (AWS) apps and resources in real time. CloudWatch may be used to collect and track metrics, which are characteristics you can measure for your resources and apps.

Every AWS service you use has metrics automatically displayed on the CloudWatch home page. Additionally, you may design your own dashboards to show analytics about your own apps as well as bespoke sets of metrics of your choosing.

When a threshold is crossed, you may set up alerts that monitor metrics and send messages or that automatically modify the resources you are keeping an eye on. For instance, you may keep an eye on your Amazon EC2 instances‘ CPU utilization and disk reads and writes, and then use that information to decide whether to start more instances to accommodate the increasing strain. To save money, you may also utilize this data to halt instances that aren’t being used.

CloudWatch gives you system-wide insight into operational health, application performance, and resource usage.

How Amazon CloudWatch works

In essence, Amazon CloudWatch is a storehouse for measurements. Metrics are entered into the repository by an AWS service like Amazon EC2, and statistics are retrieved using those metrics. Statistics on your own custom metrics may also be retrieved if you add them to the repository.

Metrics may be used to compute statistics, and the CloudWatch interface can then display the data graphically.

When specific conditions are fulfilled, you may set up alert actions to stop, start, or terminate an Amazon EC2 instance. Additionally, you may set up alerts to start Amazon Simple Notification Service (Amazon SNS) and Amazon EC2 Auto Scaling on your behalf. See Alarms for further details on setting up CloudWatch alarms.

Resources for AWS Cloud computing are kept in highly accessible data center buildings. Each data center facility is situated in a particular geographic area, referred to as a Region, to offer extra scalability and dependability. To achieve the highest level of failure isolation and stability, each region is designed to be totally separated from the others. Although metrics are kept independently in Regions, you may combine information from many Regions using CloudWatch’s cross-Region feature.

Why Use CloudWatch?

A service called Amazon CloudWatch keeps an eye on apps, reacts to changes in performance, maximizes resource use, and offers information on the state of operations. CloudWatch provides a consistent picture of operational health, enables users to create alarms, and automatically responds to changes by gathering data from various AWS services.

Advantages Of Amazon CloudWatch

Visualize and analyze your data with end-to-end observability

Utilize robust visualization tools to gather, retrieve, and examine your resource and application data.

Operate efficiently with automation

Utilize automated actions and alerts that are programmed to trigger at preset thresholds to enhance operational effectiveness.

Quickly obtain an integrated view of your AWS or other resources

Connect with over 70 AWS services with ease for streamlined scalability and monitoring.

Proactively monitor and get actional insights to enhance end user experiences

Use relevant information from your CloudWatch dashboards’ logs and analytics to troubleshoot operational issues.

Amazon CloudWatch Use cases

Monitor application performance

To identify and fix the underlying cause of performance problems with your AWS resources, visualize performance statistics, generate alarms, and correlate data.

Perform root cause analysis

To expedite debugging and lower the total mean time to resolution, examine metrics, logs, log analytics, and user requests.

Optimize resources proactively

By establishing actions that take place when thresholds are reached according to your requirements or machine learning models, you may automate resource planning and save expenses.

Test website impacts

By looking at images, logs, and web requests at any moment, you can determine precisely when and how long your website is affected.

Read more on Govidhtech.com

[centizen]

Is AWS Elasticsearch Developer’s True Hero?

Elasticsearch is a free open source search engine, which is used for log analytics, full-text search, application monitoring and more. It makes easy to deploy, operate and scale Elasticsearch clusters in the AWS Cloud. We can get direct access to the Elasticsearch APIs. It provides Scalability, Availability and Security for the workload process run.

Elasticsearch architecture

The AWS Elasticsearch Service Architecture is very dynamically to allow create instances, remove instances, change instance sizes, change storage configuration and customize to make other changes. This Elasticsearch allows to search and analyse the data log. It consists of three components.

Logstash – is used to collect and transferred to the Elasticsearch.

Elasticsearch –facilitates search and analyze with the logs stored in it. It acts as a database.

Kibana –Kibana enables the data visualization on the dashboard that uses ELK stack. This tool provides a quick insight of the documents using visualization Kibana’s dashboard contains interactive diagrams, geospatial data, and graphs to visualize complex queries that let you search, view, or interact with the stored data. Kibana helps you to perform advanced data analysis and visualize your data in a variety of tables, charts, and maps.

Get started with an Elastic Cluster with AWS

First, create an AWS account and follow the following steps to claim your domain.

Tap on to “Create a new domain”

Select on the appropriated Deployment type and select the Elasticsearch version. Click Next.

Enter a domain name and choose the Instance type in the prompt page and Click Next.

Follow to enter the “Dedicated master instances”

Click Next.

After the Cluster Configuration, you will be taken to the Set up access part. In the Setup access part, enable the specific set of users who can access your ElasticSearch cluster. There are two options — VPC access and Public access. Once you select one of the options and confirm your entries your new cluster is created.

Things to consider

1. Expandable

Amazon Elasticsearch Service provides to monitor your cluster through Amazon CloudWatch metrics.

We can change the cluster in various size from top or bottom within single clicks in the AWS management console or via a single API call.

There is a customizable setting available based on the range of instance types and storage options including SSD-powered EBS volumes.

2.Integrations

Many integrations available in the AWS Elasticsearch such as Kibana for data visualization, Amazon CloudTrail is used to audit API calls configure in AWS ES domains and integrate with Amazon Amazon S3, Amazon Kinesis, and Amazon DynamoDB for loading streaming data into Amazon ES.

3.Guarantee

It guarantees to provide a secure environment and easy integration with Amazon VPC and VPC security groups. There is an availability to access the Identity and Access Management (IAM) control. It provides authentication for Kibana and Data encryption with node-to-node encryption.

4.Availability

Amazon ES supports the different zones in two geographical locations and various node allocations with a large number of zones in the same region itself. It manages the cluster and notifies the damaged nodes automatically.

Conclusion

This article has covered what AWS Elastic Search means, its benefits, what happens between and how you can use it.

[alice-blogs-things]

Adding to this-

Daisy and Jon, whose s4 arcs force them to stay in the Archives and in each other’s company. Who were both effectively written off at the end of s3 despite not actually being dead. Who started off as abrasive and difficult, long before they had any hint of not being entirely human. Who gave into their monstrosity during s5 and died as a result.

Basira and Martin, who were loyal to a literal fault. Who refused to give up on their respective person even when they really should’ve. Who recoiled from the more obvious signs of their partner's monstrosity in s5, while remaining convinced that any harm said partner caused was probably justified. Who spent most of s4 cut off from everyone else, pursuing their own missions that were supposed to help their partner. Who were forced to kill their partner after they were consumed by their monstrosity.

currently crying about the parallels of daisy/basira and jon/martin.

daisy and jon both holding off on becoming monsters as long as they can, being so acutely aware of their capabilities if they just let go and let the feeling consume them, of knowing their monstrosity is part of them, clinging to their humanity for the sake of the people they love only to eventually, fatally accept their worst impulses.

basira and martin seeing the person they love struggle with things both beyond and completely with their control, to be there as support but not to enable, to stay by them when no one else will, to see the pain and anger and struggle in their love one's eyes and know the only way they can save them is to let them go, to be the one to pull the trigger out of love and tear themselves in half, and in the end forgive them for all of their betrayals because there is no one else in the world who knows them as well as they do

[insects-in-every-hole]

[rfsweber]

when the sky paints for me, i paint back

... from the archive (march 2019)

[americanssweetheart]

Our generation is the first generation to have access to a phone 24/7, and we ran with it. Many people's screen time ranges from 4 to 12 hours, which is no good. Many people's excuse is that they do not know how to live without a device since it's been with them since birth. Here are a few things you can do instead of being on your phone. 

Read a book. This is a classic, and although it may seem tedious, books are filled with so much knowledge and carry interesting topics. Find a genre you like and pick up a book that calls your name. 

Go for a walk. This is a good way to hit your step count, and it's a good way to refresh. 

Bake something yummy. It's always time-consuming whenever you bake something new, and this is a good way to practice your baking skills. 

Go cloud-watching. When did you last sit down outside and look up at the clouds? I recently had to do this for a politics class; it was so much fun!

Learn a new language. Learning different languages can get you into other rooms and help you be a better candidate for a higher-positioning job. 

Pick up a new craft—knitting, painting, coloring, pottery, etc. 

Go out. Do anything, shop, go to a park, and meet new people. 

[mitzi-moo]

The best part of the day

[missedmilemarkers]

[realm-of-clouds]

some sunset clouds for you

[sluggoonthestreet]

"Waiting for Snow," created in 2018 with chalk, charcoal, and two impatient gumspots.

[govindhtech]

Save Big with Amazon CloudWatch: Affordable Log Storage

Amazon CloudWatch log class for infrequent access logs

Today, Amazon CloudWatch Logs unveiled the Infrequent Access log class, a new log class. With this new log class, customers can more affordably consolidate all of their logs in one location by providing a customized set of capabilities for infrequently visited logs at a lower cost.

The volume of logs created grows together with the scale and growth of customers’ applications. Many consumers are compelled to make difficult compromises in order to reduce the rise in logging expenses. Some customers, for instance, restrict the amount of logs their applications generate, which may impair the application’s visibility, or select a different solution for certain log categories, which increases the complexity and inefficiencies associated with managing various logging solutions.

Customers might, for example, provide CloudWatch Logs the logs required for real-time analytics and alerts and send a less expensive, less feature-rich solution the more detailed logs required for debugging and troubleshooting. Ultimately, these workarounds may affect the application’s observability as users are need to switch between several solutions in order to view their logs.

With the help of the Infrequent Access log class, you can use CloudWatch to create a comprehensive observability solution by centralizing all of your logs in one location for economical consumption, querying, and storing. The cost per gigabyte of ingestion for Infrequent Access is half that of Standard log class. For clients that don’t require sophisticated features like Live Tail, metric extraction, warning, or data protection functions that the Standard log class offers it offers a customized set of capabilities. You may still take advantage of fully managed ingestion, storage, and deep diving using CloudWatch Logs Insights with Infrequent Access.

How often to use the new log class for Infrequent Access

When you have a fresh workload that doesn’t require the advanced functionality offered by the Standard log class, use the Infrequent Access log class. It’s crucial to keep in mind that once a log group is created with a certain log class, it cannot be changed afterwards.

Because debug logs and web server logs are typically verbose and don’t require much of the more advanced features offered by the Standard log class, they are a good fit for the Infrequent Access log class.

An Internet of Things (IoT) fleet sending detailed logs that are only accessible for post-event forensic analysis is another excellent workload for the Infrequent Access log class. Additionally, because the Infrequent Access log type will be queried seldom, it is a desirable option for workloads where logs must be kept for compliance.

Getting started

Create a new log group in the CloudWatch Logs console and choose the new Infrequent Access log class to begin utilizing the new log class. The AWS Management Console, AWS Command Line Interface (AWS CLI), AWS CloudFormation, AWS Cloud Development Kit (AWS CDK), and AWS SDKs are the only ways to establish log groups using the new Infrequent Access log type.

You can use the newly generated log group in your workloads as soon as it’s created. You will set up a web application to submit debug logs to this log group for the purposes of this demonstration. You can return to the log group and view a fresh log stream after the web application has run for some time.

CloudWatch Logs Insights will be displayed when you choose a log stream.

You may make queries, search those logs for pertinent information, and rapidly examine all the logs in one location by using the same comfortable CloudWatch Logs Insights experience you receive with Standard Class.

Accessible right now

With the exception of the China and GovCloud regions, all AWS regions now offer the new Infrequent Access log class. You can get started with it and benefit from a fully managed, more economical method of gathering, storing, and analyzing your logs.

Read more Govindhtech.com

[dreamyglitterkitten]

Amazing colors at sunset

[paint-the-clouds-with-sunshine]