![]() ![]() Out of the box, we get duration (Response Time Breakdown), rate (Requests per Second in the dashboard), and errors (error rate and HTTP status codes chart). Thanks to the standardization of common server libraries, the AppOptics agent was able to automatically provide RED metrics and a dashboard for our application. In this example, we installed the AppOptics Node APM agent and integrated it with our application. With the AppOptics frameworks, getting useful RED metrics is as simple as installing the agent client library for your favorite language. Depending on the language and client’s features, APM can provide request and response information, database connection information, remote profiling and tracing for slow spots, and other metrics related to the health of your services.ĪppOptics ™ provides APM and tracing capabilities, as well as infrastructure monitoring to give a full view from CPU to custom metrics. This type of monitoring is typically installed as a library in your codebase, providing the opportunity for deep integration. Moving deeper into the stack, Application Performance Monitoring (APM) is designed to provide deep insights into the state and performance of your applications. By the time an uptime checker knows that your site is slow or down, your users do too, and problems can often be discovered and alerted on before issues ever reach your customers. ![]() However, uptime monitoring should be used as a last line of defense and for understanding the end-user experience. Using these tools, you can get a quick idea of how your site is responding from different locations in the world, and better understand uptime and performance statistics about it. Used with other metrics, these uptime checks can identify downtime as well as encourage practices like zero downtime deployments. This isn’t a single event, but an ongoing problem that will require attention from the ops team. We can see that our site had unreliable performance with many spikes in response time throughout the day. This view gives us a dashboard of the uptime checks for the site, whether the checks succeeded, and how long they’ve taken, plus statistics about service uptime. Here we are monitoring a site using Pingdom ®, a tool for monitoring end-user uptime. These tools will test the uptime and response times for your site by pinging pre-defined routes periodically and reporting back on them. Availability MonitoringĪt the outer edge of monitoring are black box availability and user-centric uptime monitoring tools. Use RED metrics as an entry point to your system, but don’t solely rely on them to understand the state of your applications. This can be done by collecting additional metrics on all of the related systems (such as databases, container runtimes, queues, or external APIs) or collecting custom metrics. Keep in mind that RED monitoring doesn’t necessarily tell the state of the whole system or provide answers as to why something is failing. Duration – amount of time each request takes, typically represented as a percentile distribution.Errors – percentage of requests that result in an error status code.Rate – number of requests per second your application is serving. ![]() The RED metrics method provides a general framework for monitoring the health of a request-based service via three metrics: We recommend using metrics important to user experience and application health. To avoid monitoring and alerting fatigue, choose a few “primary” metrics. There are countless metrics that you can choose to monitor, and it can be overwhelming to separate the signal from the noise coming in. We’ll cover availability from the outer edges to the core metrics that can provide early warning signs before your next outage. ![]() In this article, we will take a whirlwind tour of best practices for monitoring your services. In distributed environments, this is made even more difficult by network boundaries that can hide the source of errors and performance problems. Monitoring solutions need to handle higher volume while presenting information in real time and proactively alerting teams about trouble before downtime occurs. Modern apps have higher traffic and reliability requirements than ten years ago. The architecture of modern web applications presents new challenges for monitoring their availability and performance. ![]()
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