5 Best Practices to Monitor Containerized Deployments on AWS

5 Best Practices to Monitor Containerized Deployments on AWS

Monitoring and observability a key consideration when choosing an AWS container service. There is no denying that containerized environments are highly dynamic and ephemeral in nature. This makes it hard to monitor, especially with traditional infrastructure monitoring or APM solutions. There are thousands and more components that are spun every day, every hour, every batch that monitoring solutions find it challenging to keep up with the churn. And in some cases, it fails to see the new components, thereby not offering correct multi-dimensional real-time analysis.

However, there are a few streaming analytics services that can keep up with such a dynamic nature of containerized environments. And can do so without compromising performance. Let’s look at some of the best practices to monitor containerized deployments on AWS with analytical services.

5 Best practices to monitor containerized deployments on AWS

1. Create your monitoring plan for your specific container environment.

It is vital that you create a monitoring plan. This plan should address the specifics related to your container environment. It can include elements like:

• Monitoring goals
• List of resource types and services that need to be monitored
• Requirements of tools and integrations
• Monitoring frequency
• Roles and responsibilities
• Processes to notify and handle alerts
• Handling of other levels of automation.

By creating such a plan, you can closely monitor AWS container deployment in real-time. It can also help auto-discover services and provide in-depth metrics about your containers. Such actionable insight can also divulge you into cost-saving opportunities, identify usage patterns, and set categories specific to your set up to achieve your goals.

2. Dynamic cluster map

With Kubernetes navigator, you can quickly view the performance of your entire Kubernetes environment through intuitive and hierarchical navigation. You can also select, filter, search for a specific entity, node, container level within seconds. By discovering these components and containerized services, you can monitor your entire deployment. This also enables you to understand dynamic Kubernetes components and make adjustments to fix performance issues.

3. Drill-Downs

Through drill-downs, you can view the entire Kubernetes environment at a glance and monitor how your overall system is performing. It is additionally vital to have granular and detailed insight into individual components so that you can narrow it down to the source of the problem. Drill downs let you gain insight into everything from nodes to pods to containers and workloads.

Read More: https://www.b2bleadhub.com/5-best-practices-to-monitor-containerized-deployments-on-aws/