This article is a follow up to Native Kubernetes Monitoring, Part One. In this chapter we’ll finish the two remaining demos for the other built-in tools, Probes and Horizontal Pod Autoscaler (HPA).

AWS CodeDeploy is a deployment management service offered by AWS. You can use it to deploy updates of your applications to your EC2 instances, Lambda functions, and on-premises servers. This can be a powerful tool in your CI/CD pipeline. Today, I’m happy to announce a new action: Deploy CodeDeploy Application.

Amazon Elastic Container Service for Kubernetes, or Amazon EKS, is a hosted Kubernetes platform that is managed by AWS. Put another way, EKS is Kubernetes-as-a-service, with AWS hosting and managing the infrastructure needed to make your cluster highly available across multiple availability zones. EKS is distinct from Amazon Elastic Container Service (ECS), which is Amazon’s proprietary container orchestration service for running and managing Docker containers.

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.

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.

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.

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.

“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.