August 2020 Summaries

Kubevious is an advanced Kubernetes dashboard designed to improve efficiency in managing and monitoring large Kubernetes clusters. Unlike traditional methods such as kubectl, which can be cumbersome for high-level overviews and handling multiple resources, Kubevious provides a more intuitive approach through its powerful rule engine and hierarchical layout. This tool allows users to create custom rules using a simple language called Kubik, with a Javascript-like syntax, to search and tag Kubernetes resources according to specific criteria. Kubevious also enhances resource management by offering cross-checks and correlations between different Kubernetes elements, enabling users to visualize potential impacts of configuration changes and identify issues like unused bindings and pods lacking resource limits. In addition to these features, Kubevious includes functionalities such as a full-text search and a "time machine" for tracking configuration changes, making it a valuable asset for cluster operators seeking to streamline their operations without relying on manual scripts or extensive kubectl commands.

The second annual State of DevOps survey by Codefresh highlights significant industry shifts, notably the large-scale migration from on-premises to cloud environments accelerated by the COVID-19 pandemic, with 75% of respondents planning such a move. The survey also reveals the expanding scope and complexity of DevOps automation, although complete automation from commit to production remains challenging for most organizations, with only less than 5% fully automated. Kubernetes adoption is rapidly increasing, with 73% believing it will be used in more than half of new projects by the end of 2020, reflecting its growing traction. Despite increased investment in DevOps budgets, with 74% expecting a rise, many organizations still struggle with automation, as a significant portion of professionals spend considerable time fixing bugs in their automated systems. This underscores the critical importance of selecting a robust DevOps automation platform to minimize time lost to bug-fixing.