Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes is a powerful tool for deploying and managing containerized applications. However, managing its clusters is a critical but challenging task for many organizations. Today, we will discuss the benefits of managing multiple clusters, and the challenges they present, and offer a quick technical guide on managing these clusters efficiently.

In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.

In the software development landscape, mastering test automation has become crucial for ensuring efficient quality assurance (QA) processes. Test automation not only accelerates testing cycles but also enhances test coverage and accuracy, leading to higher-quality software releases. This blog explores key strategies for mastering test automation and achieving efficient QA outcomes.

Selector offers comprehensive monitoring, observability, and AIOps solutions for service providers and enterprises. The process begins with collecting, aggregating, and analyzing multi-domain operational data from various sources, such as SNMP, streaming telemetry, syslogs, and Kafka. Selector then applies advanced AI/ML techniques to power features such as anomaly detection, event correlation, root cause analysis (RCA), smart alerting, and a conversational GenAI-driven chat tool, Selector Copilot.

The Competition and Markets Authority (CMA) is investigating the state of the UK cloud market, and for good reason. While the submissions and commentary already submitted to the CMA point to various concerning practices, one issue stands out as the single biggest threat to a healthy, competitive landscape: excessive free cloud credits. This tactic, employed by the dominant hyperscalers (AWS, Microsoft Azure, and Google Cloud Platform), is akin to a drug dealer offering free samples.

The emergence of Ephemeral Environments poses a compelling question: What can organizations expect from adopting this transformative approach? What are the hurdles they may face along the way? And what results can they anticipate? These are the questions I will address in this article as we explore why Ephemeral Environments are garnering attention and what makes them so pivotal for engineering teams today. Let's go!

There’s more pressure than ever to deliver high-availability Kubernetes systems, but there’s a combination of organizational and technological hurdles that make this ‌easier said than done. Technologically, Kubernetes is complex and ephemeral, with deployments that span infrastructure, cluster, node, and pod layers. And like with any complex and ephemeral system, the large amount of constantly-changing parts opens the possibility for sudden, unexpected failures.