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We consistently follow the upstream release cadence to provide our users and customers with the latest improvements and fixes, together with security maintenance and enterprise support for Kubernetes on Ubuntu. This blog is a quick overview of the latest development highlights that are made available in Canonical Kubernetes 1.24 as well as a look at our favourite upstream enhancements.

Regulatory compliance and data privacy requirements require financial institutions (FIs) to consider carefully where their applications are running and where the customer data is stored. The data protection and data sovereignty laws in most countries require an enterprise to keep data in certain geographic locations. PCI Data Security Standard, for example, regulates the way the customer and financial transactions data is stored and transmitted.

A software development life cycle (SDLC) is the sequence of steps a software project moves from conception to completion. The SDLC process specifies how to build, test, maintain, and improve specific software. Modern software development life cycles typically involve five to seven stages, depending on the model you use. Today, the SDLC comprises eight major models, from the traditional Waterfall approach to the ultra-modern Spiral Model.

With recent releases, the Kubewarden stack supports verifying the integrity and authenticity of content using the Sigstore project. In this post, we focus on Kubewarden Policies and how to create a Secure Supply Chain for them.

We are excited to announce that Sleuth has raised $22M in Series A funding, led by Felicis, joined by Menlo Ventures with participation from CRV. We’re disrupting the world of engineering efficiency and we're hiring, come join us!

In the Kubernetes (K8s) community, there is a huge misconception about CPU allocation and utilization. Even highly experienced SREs find themselves struggling with the way Kubernetes allocates CPU resources, leading to misconfigured CPU allocations and extremely negative outcomes. For starters, this results in significant quality degradation on important service components, introduced by behind-the-scenes CPU limiting (or throttling).

Development teams are under increasing pressure to keep up with the demand for faster delivery of database changes, while ensuring code quality isn’t compromised. This pressure comes from both business requirements and industry expectations. The 2021 Accelerate State of Database DevOps report reveals that the number of teams who are elite performers is increasing year-on-year (making up 26% of those in the study) and these teams have more frequent code deployments and a lower change failure rate.

Welcome to the 8th edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.