At any given time, there may be a vast number of customers surfing on your website and your apps. This means that hundreds of thousands of requests may be generated for your services every second. To ensure high availability and seamless customer experience, we should closely monitor our services and interfere when there’s a problem.
Performance is a critical attribute of modern enterprise applications. Poor performance affects customer satisfaction and business revenue, and even compromises compliance.
To overcome all these concerns, Ibexlabs uses alerting and monitoring tools so that we can analyse the status of our services and get a notification in case of any failure.
Ibexlabs uses different monitoring tools like AWS CloudWatch and other third party tools like NewRelic, Datadog. We use OpsGenie for alerting us via Slack or On-Call and get notified whenever there is any open issue.
New Relic Infrastructure provides flexible, dynamic server monitoring. It works with all the different web development languages and so compatibility is not an issue. New Relic works as a service so that you can access it from anywhere and anytime.
New Relic works with an agent, which is a small piece of code that sits inside the web application and watches what the web page code is building while it’s building web pages. The agent measures how long the code takes to build the web page and reports it back to the user. It informs the user of the time taken for a page to load and specifies if any factors are delaying the process. It displays the load time for users all across the globe accessing the web application and it follows it all the way down, right to the code. So the user will be able to determine if the longer load time is caused by something in your server, code, network, or in the browser, etc.
AWS CloudWatch is a service intended for monitoring AWS resources and the applications you run on AWS. CloudWatch enables real-time monitoring of AWS resources such as EC2 instances, RDS database instances, load balancers. You can use CloudWatch to collect and track metrics, collect and monitor log files, set alarms in AWS resources. It automatically provides metrics for CPU utilization, latency, and request count. Custom metrics can also be monitored such as memory, disk etc.
CloudWatch helps in monitoring AWS resources and the user applications which run on AWS in real-time. It serves as a metrics repository, holding metrics data delivered to it by your services and then exposes this data through analytics or alarms.
CloudWatch helps in reducing the burden of monitoring. It can be used to monitor metrics on a wide range of AWS services and has the ability to create custom metrics when required. It automatically displays the metrics with respect to every AWS service which the user is associated with. Users can customize dashboards that help display metrics about specific applications. CloudWatch can also be integrated into existing infrastructure.
Alarms can be created by the user that help in monitoring the metrics and sending notifications regarding the state of the metrics. These alarms can also be used to automatically make certain changes to the AWS resources which are being monitored by the user when a certain condition is met or a threshold is reached.
CloudWatch provides system-wide visibility into the utilization of AWS resources, how the application performs and the health of the operations which take place in the system.
DataDog is a third-party monitoring and analytics tool that can be used to monitor the events and performance of the application, infrastructure, and cloud services through SaaS based data analytics. It also can monitor your real-time databases and applications.
Datadog supports Windows, Linux, and Mac operating systems. Support for cloud service providers includes AWS, Microsoft Azure, Red Hat OpenShift, and Google Cloud Platform.
The Datadog works with the help of Datadog Agent, which is software that runs on your hosts. It collects events and metrics from hosts and sends them to Datadog, where you can analyze your monitoring and performance data. The Datadog Agent is open source and its source code is available on GitHub at DataDog/datadog-agent.
It is recommended to fully install the Agent. However, a standalone DogStatsD package is available for Amazon Linux, CentOS, Debian, Fedora, Red Hat, SUSE, and Ubuntu. This package is used in containerized environments where DogStatsD runs as a sidecar or environments running a DogStatsD server without full Agent functionality.
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Ibexlabs' mission is to partner with customers, as extensions of their teams, to build and manage modern infrastructure solutions that deliver innovation faster. Our company specializes in AWS Well-Architected, CI/CD pipelines, containerization, infrastructure automation, cloud migration, data & analytics, machine learning, and 24x7 support. Ibexlabs is a certified APN Consulting Partner and has achieved AWS DevOps Competency, AWS Managed Services Provider (MSP) Partner status, AWS Well-Architected Partner. Contact us today!