If you're like me and have less than twenty years of software engineering experience, the thought of a world without Git doesn't seem possible. When I started to research for this post, I almost fell out of my chair when I read that Git was created in 2005. It doesn't seem that long ago... either that, or I'm simply getting old. When I started programming, I asked myself a question I sometimes still ask myself today - How does git work? I often find myself being scared of certain Git commands.

A regression test suite is a crucial component in maintaining software quality over time. It ensures that recent code changes and/or implementations do not negatively impact existing functionalities. This minimizes the risk of breaking existing features, enhances the reliability of new releases, and lowers the cost of deploying new releases.

In Part 1 of our series, we explored the fundamental concepts and importance of a software quality strategy. This resulted in the development of a quality statement specific to your company. Now, in Part 2, we delve into the strategic process of developing a software quality strategy that aligns with business objectives, technical requirements, and user expectations.

Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting production. Given its robust orchestration capabilities, Kubernetes excels at creating these temporary environments, allowing teams to efficiently manage and scale containerized applications. By integrating tools like Helm and Kustomize, developers can maintain a codified version of their app and its dependencies.

Developing, distributing, and monitoring a drug or medical device is an extensive process. It involves the coordination of people, systems, and substantial amounts of data. Production slowdowns negatively impact the product lifecycle, adding unnecessary costs and keeping valuable products from the patients who need them. The need for automation is evident.

For large batch queries, BigQuery’s new TreeAH vector index delivers significant latency and cost reductions.

As we venture deeper into the digital age, cloud infrastructure continues to evolve rapidly, pushing the boundaries of what’s possible for businesses and individuals. By 2025, cloud computing will not just be a tool but a cornerstone of innovation and efficiency, driving significant technological advancements. Let’s explore the critical trends poised to shape the future of cloud infrastructure, including serverless computing, edge computing, and AI-driven management.

In business, speed is key. When facing rapid change, adapting slowly eats into an organization’s revenue, opportunities, and market share. This has led organizations to deploy business process automation technologies to streamline processes, roll out products faster, and deliver services of a higher quality. However, organizations often stitch together disparate automation tools, leading to disjointed IT ecosystems and bloated licensing costs.