In Part 1 of this series, we looked at key metrics for tracking the performance and health of your EKS cluster. Recall that these EKS metrics fall into three general categories: Kubernetes cluster state metrics, resource metrics (at the node and container level), and AWS service metrics. In this post, we will go over methods for accessing these categories of metrics, broken down by where they are generated.

In this post, we’ll explore how Datadog’s integrations with Kubernetes, Docker, and AWS will let you track the full range of EKS metrics, as well as logs and performance data from your cluster and applications. Datadog gives you comprehensive coverage of your dynamic infrastructure and applications with features like Autodiscovery to track services across containers; sophisticated graphing and alerting options; and full support for AWS services.

If you look around the Serverless Application Repository console, you will find a number of applications that can help you ship logs from CloudWatch Logs to external services. One such example is the LogzioCloudWatchShipper application below.

More developers are keen on practices in terms of how they modernize monolith application into microservices easier, quicker, and smoothly. There are many microservices development frameworks such as Spring Boot and Linux container, container orchestration tools make it faster for your Microservices journey.

“We can know one thing: shit’s gonna fail.” Last week we participated in SRECon Americas, held across three days of intensive learning with practitioner talks, hands-on workshops, socializing, and of course vendor booths. Now in its third year, attendees numbered 650 with an additional ~300 from sponsors and organizers.

Kubernetes is an open-source orchestration platform for working with containers. At its core, it gives us the means to do deployments, easy ways to scale, and monitoring. In this article, we will talk about the built-in monitoring capabilities of Kubernetes and include some demos for better understanding.

Being elastic in nature, many of us think migrating to cloud will be a cost-effective solution to host infrastructure. But this is partly true, however, when your hosted infrastructure becomes fat the cost of the cloud increases rapidly. Moreover, managing cloud infra costs becomes difficult because of the growing infrastructure/teams. To curb the increasing costs, here are a few best practices which can be adhered to manage infrastructure efficiently.