Day: July 27, 2021

What is Amazon CloudWatch? Amazon CloudWatch is built for DevOps developers, engineers, site reliability engineers, and IT managers. It’s a service built for monitoring and observability. CloudWatch can monitor applications, respond to changes in system-wide performance, optimize utilization of resources, and give a unified operational health view. Data in monitoring and operations is collected by CloudWatch in logs, events, and metrics form. A unified view is provided of applications, AWS resources, and services that run on on-premises and AWS servers. Amazon CloudWatch: How Does It Work? CloudWatch collects data in monitoring and operations in logs, events, and metrics form. It visualizes using automated dashboards to have unified views of applications, AWS resources, and services, which run on on-premises and AWS servers. You can correlate metrics and logs for a better understanding of health and resource performance. Also, you can give specific metric value-based thresholds to create alarms or use machine learning algorithms that watch for anomalous metric behaviour. You can set automated actions to receive quick notifications if the alarm is activated which automatically starts auto-scaling. You can also analyse your logs, traces, and metrics to get a better understanding of improving application performance. Amazon CloudWatch: Uses  1. Troubleshooting & Monitoring Infrastructure Metrics and logs are monitored, visualized stacks of application and infrastructure, creates alarms, and correlates metrics and logs for understanding and resolving the AWS resources performance issues. This includes container ecosystem monitoring across AWS Fargate, Amazon ECS, Kubernetes, and Amazon EKS. 2. Improvement on Mean-time-to-resolution CloudWatch helps you to visualize, analyse, and correlate metrics and logs, which helps you act quickly in resolving issues and uses trace data to combine them from AWS X-Ray for continuous observability. Also, you can analyse requests from users to speed up debugging and troubleshooting, which overall reduces mean-time-to-resolution. 3. Proactive Resource Optimization In CloudWatch alarms, you can either specify the metric values thresholds or create using models of machine learning which detect anomalous behaviour. CloudWatch takes action automatically if the alarm is triggered to allow Amazon EC2 Auto Scaling, so capacity and resource planning can be automated. 4. Application Monitoring AWS or on-premises run applications can be monitored. CloudWatch collects every layer of data from the performance stack, which includes automatic dashboards having metrics and logs. 5. Log Analytics Explore, visualize, and analyse your logs to improve the performance of applications and address operational issues. Operational issues can be addressed effectively and quickly by performing queries. If there’s an issue, you can immediately start querying by using a query language that is purpose-built to identify potential causes rapidly. Amazon CloudWatch: Features CloudWatch gives actionable insights which will help you optimize the performance of the application, manage utilization of resources, and understand operational health system-wide. CloudWatch provides about 1-second of visibility of metrics and logs data, data retention from 15 months, and the ability to perform metrics calculations. 1. Collect Logs can be collected and stored easily: In CloudWatch, you can collect and store logs from applications, resources, and services in real-time. There are three log categories: Vended logs, AWS publishes logs, and custom logs. Built-in Metrics: CloudWatch permits you to collect metrics in default from 70 plus AWS services like Amazon DynamoDB, Amazon EC2, Amazon S3, AWS Lambda, Amazon API Gateway, and Amazon ECS without any action from your side. Custom Metrics: CloudWatch allows custom metric collection from applications of your own to troubleshoot issues, monitor operational performance, and spot trends. Curated metrics collection and aggregation and container ecosystem container logs are simplified by container insights. Container Metric & Logs: Curated metrics collection and aggregation and ecosystem logs are simplified by Container Insights. Compute performance metrics like CPU, network, disk information, and memory are collected from each container and generates custom metrics automatically used for alarming and monitoring. Lambda Metrics & Logs: CloudWatch Lambda Insights eases curated metrics and logs collection and aggregation from functions of AWS Lambda. Compute performance metrics like CPU, network, and memory are collected as performance events from each function of Lambda, while custom metrics are automatically generated and used for alarming and monitoring. 2. Monitor The operational view is unified with dashboards: With dashboards, you’ll be able to make reusable graphs and have a visual view of your cloud applications and resources in a unified manner. Metrics and logs data can be graphed in single dashboards, side-by-side to get context quickly, and from diagnosing problems, go to the root cause. Composite alarms: Composite alarms allow multiple alarm combinations and reduce alarm noise. If several resources are affected due to an application issue, the entire application will receive an alarm notification instead of each affected service resource or component receiving one. High-resolution alarms: Amazon CloudWatch alarms let you set a metrics threshold and trigger an action. High-resolution alarms can be created, percentiles can be set as a statistic and specify either an action or ignored as appropriate. For example, Amazon EC2 can create alarms, sets notifications, and takes actions to discover and shut down underutilized or unused instances on Amazon EC2 metrics. Metrics and logs correlation: Infrastructure and application resources generate lots of monitoring and operational data in metrics and logs form. In addition to the ability to visualize and access data sets on a single platform, correlating metrics and logs becomes easy on Amazon CloudWatch. Application insights: Application Insights provides an observable automated setup for enterprise applications for you to get visibility of the application’s health. It helps in identifying and setting up key logs and metrics across the stack of resources and technology of application i.e., web and application servers, database, operating system, queues, balancers, etc. Container insights: Container insights in CloudWatch provide automatic dashboards. These dashboards summarize errors, compute performance, and alarms by pod/task, cluster, and service. Lambda Insights: Lambda insights provide dashboards that are automatic in the console. The compute errors and performance are summarized with these dashboards. Anomaly Detection: Anomaly Detection applies algorithms related to machine learning to analyse metric data continuously and anomalous behaviour can be identified. ServiceLens: You can use … Read more