To monitor your Elastic Stack with Elastic Cloud on Kubernetes (ECK), you can deploy Metricbeat and Filebeat to collect metrics and logs and send them to the monitoring cluster, as mentioned in this blog. However, this requires understanding and managing the complexity of Beats configuration and Kubernetes role-based access control (RBAC). Now, in ECK 1.7, the Elasticsearch and Kibana resources have been enhanced to let us specify a reference to a monitoring cluster.

This post will highlight and explain the importance of a pluggable data plane. But in order to do so, we first need an analogy. It’s time to talk about a brick garden wall! Imagine you have been asked to repair a brick garden wall, because one brick has cracked through in the summer sun. You have the equipment you need, so the size of the job will depend to a great extent on how easily the brick can be removed from the wall without interfering with all the ones around it. Good luck.

Many organizations are considering migrating to Kubernetes, and while it certainly has advantages, it’s not for everyone. In this article, we’ll explain why you might use Kubernetes, what you should ask yourself before embarking on a Kubernetes migration, and tips to keep in mind as you make the switch.

As the demands placed on technology have grown, so has the size and complexity of our applications. Today’s developers often face the difficult task of managing huge applications. Further complicating matters is the underlying infrastructure, which can often be as expansive, diverse, and complicated as its applications. The complexity of modern applications introduces many challenges.

Gartner predicts that by 2022, more than 75% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 30% today. Kubernetes is the future-proof solution that is going to provide flexibility, power, and scalability to improve productivity for the modern enterprise. It’s the key to modernization in a world moving at warp speed.

Picking the right performance testing tool can be a challenge. What should you look for and what is important? Performance testing is a phrase many developers have come across at some point, but what is it exactly? In simple terms, performance testing is a software testing practice used to determine stability, responsiveness, scalability, and most important, speed of the application under a given workload.

To make life easier for database admins and simplify DevOps, Aiven now offers a Kubernetes Operator for Aiven for PostgreSQL and Aiven for Apache Kafka services. Find out how you can use it to manage your whole service stack.

Containers, along with containerization technology like Docker and Kubernetes, have become increasingly common components in many developers’ toolkits. The goal of containerization, at its core, is to offer a better way to create, package, and deploy software across different environments in a predictable and easy-to-manage way.

Is your Helm chart promotion process complicated and difficult to automate? Are rapidly increasing Helm chart versions making your head spin? Do you wish you had a way to quickly and easily see the differences between deployments across all of your environments? If you answered “yes” to any of these questions, then read on! My purpose for writing this article is to share a few of the techniques that I’ve seen make the biggest impact for Codefresh and our customers.

Josh Fetcher: “Product Hunt is a community where founders, product enthusiasts, and geeks go to check out the best new products and get attention for tech products that they've built.” If there is one sentence to define me it would be “done is better than perfect”. Saturday morning, after spent the last night released a new major version of our product while fixing bugs I came up with an idea: “Oh! It would be great time to make Qovery featured on Producthunt”.