In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.

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.

Proper backups are universally acknowledged as essential, yet they grow increasingly tedious and prone to error as DevOps complexity escalates. While some managed database services offer automated backup solutions, the scope of your backup requirements is likely to expand as the business and products scale. There's a considerable chance you'll find yourself hosting your own databases or stateful services, a task that can seem daunting in its demand for precision and reliability.