Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

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”.

Data application developers using Snowflake as the data warehouse and who are new to Kubernetes, spinning up a single cluster on their laptop and deploying their first application can seem deceptively simple. As they start deploying data-driven applications using microservices and Kubernetes in production, the difficulty increases exponentially. It quickly throws the developer into a kind of configuration hellscape that drives productivity down for many data engineering teams.

Arm-based Kubernetes clusters have been in use for a while, albeit mostly for niche uses, by enthusiasts, and DIY hobbyists. But that is changing. Arm architecture offers an efficiency and scalability that other architectures do not, and that makes it appealing to businesses.

There is no doubt that YAML has developed a reputation for being a painful way to define and deploy applications on Kubernetes. The combination of semantics and empty spaces can drive some developers crazy. As Kubernetes advances, is it time for us to explore different options that can support both DevOps and Developers in deploying and managing applications on Kubernetes?