The latest News and Information on DevOps, CI/CD, Automation and related technologies.
We have to come clean. During KubeCon, we experienced an incident that we weren’t ready to discuss until now. This incident caused quite a disruption and, had it been left unresolved, would have had a massive snowball effect. At the time, we didn’t want to raise any alarms, so we kept it quiet while our team rallied to resolve it. And to be honest, most folks probably didn’t even realize that it happened since we moved so quickly.
April was a month to remember at incident.io. Not only did we attend our second conference ever with KubeCon in Amsterdam, but we also very subtly released our brand-new Status Pages product. OK, it probably wasn't subtle. Both moments required months of preparation, feedback loops, iteration, and so much more behind-the-scenes work to get right. So if you ran into us at KubeCon, thank you for stopping by and meeting with our team.
The goal of capacity planning is to match resources with demand. There are essentially three outcomes from this analysis. You can underestimate the resources you need (underprovision), which can hurt performance. You can overestimate (overprovision), which adds unnecessary costs. Or you can get it just right (rightsized). And, of course, you want to be rightsized at the lowest possible cost. Because many factors go into cloud capacity planning, it can feel like more of an art than a science.
Most SRE teams eventually reach a point in their existence where they appear unable to meet all the demands placed upon them. This is when these teams may need to scale. However, it's important to understand that increasing team capacity is not the same as increasing the number of people on the team. Let's unpack what scaling a team is all about, what are the indicators, what are steps you can take, and how you know if you're done.
In the era of cloud-native development, as businesses rely on a growing number of software tools to enable agile application delivery, platform engineering has emerged as a crucial discipline for building the technology platforms that drive DevOps efficiency. In this blog post, we explain the growing importance of platform engineering in high-performance DevOps organizations and how platform teams enable DevOps efficiency, agility, and productivity.
Virtualization has become an essential aspect of modern computing. By creating a virtual version of a computing resource, such as hardware, storage, or an entire operating system, virtualization allows businesses to optimize resource utilization, streamline management, and reduce costs. Two of the most popular virtualization platforms in the market are Microsoft’s Hyper-V and VMware’s vSphere.
If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.
