The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Rancher has helped thousands of organizations manage their transitions to containerized applications and Kubernetes. With its innovative distribution and suite of services, Rancher has given IT and DevOps teams the roadmap they needed to drive Kubernetes success. Given the complexity of Kubernetes and the shortage of engineers with Kubernetes-specific skills, Rancher’s offerings meet a critical and growing market need.
Kubernetes has a lot of features and deployment options for running containers. One of these is the StatefulSet. In this blog post, we’ll discuss what a StatefulSet is, what it can be used for, and how to create and update them.
15 July 2020: Canonical, the publisher of Ubuntu, today announces the launch of its enhanced Global System Integrator (GSI) Programme. Alongside new partnership benefits, it includes resell and integration opportunities for the entirety of Canonical’s secure, open source portfolio for the data centre, multi-cloud, edge and IoT.
For decades, information technology in the financial services industry meant deploying bulky applications onto monolithic systems like mainframes. These systems have a proven track record of reliability, but don’t offer the flexibility and scalability of more modern architectures such as microservices and cloud computing. During periods of unexpectedly high demand, this inflexibility can cause technical issues for organizations ranging from personal trading platforms to major banks.
As systems become increasingly complex, we’ve seen the growth of engineering tools to abstract away and manage the complexity. But often our tools are “opinionated” and the default actions or settings may not align with how our systems are intended to work or how we think they work. Chaos Engineering is a good way to not only test your applications, but also the tools you use to build them.
Today, users and customers are driven by response rates to their online requests. It’s no longer good enough to just have a request run to completion, it also has to fit within the perceived limits of “fast enough”. Yet, as we continue to build cloud-native applications with microservice architectures, driven by container orchestration like Kubernetes in public clouds, we need to understand the behavior of our system across all aspects, not just one.
