Operations | Monitoring | ITSM | DevOps | Cloud

Since the revolutionization of the concept by Docker in 2013, containers have become a mainstay in application development. Their speed and resource efficiency make them ideal for a DevOps environment as they allow developers to run software faster and more reliably, no matter where it is deployed. With containerization, it’s possible to move and scale several applications across clouds and data centers. However, this scalability can eventually become an operational challenge.

Kubernetes — a popular open source container orchestration system — enables you to easily deploy, monitor, and scale cloud-native application workloads in both private and public cloud environments. In other words, Kubernetes does the hard work of managing containerized applications, giving you more time to spend building it.

Prometheus is a free and open-source software for real-time systems and event monitoring and alerting. Originally developed at SoundCloud, Prometheus became a project of the Cloud Native Computing Foundation in 2016, alongside other popular frameworks such as Kubernetes. To start using Prometheus, you’ll need a solid understanding of all of the tool’s functionality.

While Kubernetes is a very powerful and comprehensive application, it can also be very complicated and confusing to new users. Thankfully, the community is great at pulling together to try to tame the Kubernetes beasts, and as more users join the platform, more handy tools to help you manage your cluster are developed. Kubernetes Resources range from everyday helper tools to development tools to troubleshooting tools, and in this article we’ll discuss fifteen of the best ones.

AWS Lambda extensions enable you to seamlessly integrate third-party tooling with your Lambda environment so you can run custom code or monitoring agents alongside your functions. We’ve partnered with AWS to create a Lambda extension that offers a more cost-effective, simplified process for collecting data from your functions.

For good or for ill, technology is constantly shifting and with it, the roles of those who manage that technology also shift. This is no different for a DBA than it is for a developer, an admin, or analyst. As new technology, like the adoption of the cloud, changes the role, people start to question whether or not there’s even a need for a DBA. The shortest possible answer to that question, in my opinion, is “Yes”.