An Internal Developer Portal (IDP) is the engineering system of record for tracking, improving, and building high-quality software. From services and APIs to Kubernetes clusters and data pipelines—IDPs abstract away the complexities of ensuring software security, maturity, production readiness, and more—all using data from your existing tools.

Let’s get right to the point: most Kubernetes workloads are underutilizing CPU and memory, with 49% of containers using less CPU than their defined requests. Although Kubernetes provides users with the ability to define resource guidelines for containers based on CPU and memory needs, it can be difficult to define and maintain these resource requirements for dynamic applications, especially in fast scaling scenarios.

As a secure collaboration hub built for technical and operational teams, Mattermost is filled with features designed to help employees do their best work every day. Organizations looking to unlock even more value from Mattermost may be best off investing in Mattermost Enterprise Edition, which offers advanced functionality for enterprises with strict security and compliance requirements.

For full details on the plans and prices, check out the FAQ section of the pricing page. We continue to look for ways to make Infrastructure monitoring a reality for teams and organizations of all sizes. For users to get started with monitoring, relatively small infrastructure for Home labs, students and Non profit organizations with no investment, Netdata offers the Free Community Plan.

This blog post is adapted from my talk at SRECon EMEA 2023 - original slides are available here! Status pages are a simple yet underutilized element of incident communication. Done well, they’re a low-lift way to keep your customers and stakeholders informed when incidents impact them. But without a solid approach, updating status pages can easily become a tedious and often neglected task during incidents. In this post, we’ll cover some tips to get your status page right.

The journey to selecting a container platform is a fun and exciting time in any organization. Container technology abstracts away so many problems from cloud 1.0 VM based approach, and puts engineering teams back in the distributed drivers seat. As containers continue to mature and adoption becomes ubiquitous, there are many lessons to learn and ideas to consider before inevitably choosing Cycle. Let's take a look at Cycle alongside the other types of container platforms.

Use Levitate's powerful domain events to track success of canary rollouts via ArgoCD.

For many developers and engineers, Kubernetes is the de facto choice for container orchestration. That’s primarily because of its efficiency in handling and scaling container workloads. However, the complexity of managing nodes in a Kubernetes cluster can cause recurring headaches for even the most experienced and skilled IT teams. This is where `kubectl cordon` comes into play.

In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "data preprocessing": It is common for people familiar with these matters to talk about not having clean data. When dealing with AI for whatever your needs are, clean data is crucial for the quality of results. Garbage in, garbage out, as they say. So, let’s dive into what it means to have clean data.

In this year’s report, we see how organizations are using containers not just to solve their day-to-day infrastructure needs. Rather, customers are exploring the next technology frontier of containers by building next-generation applications, enhancing developer productivity, and optimizing costs.