Month: March 2026

What is ALM in Fabric?

~ Hamish Watson ~ Leave a comment

As someone who’s worked with data for over 20 years and with many cloud platforms, my main focus has always been on helping teams streamline their development process. A key area of my expertise is mentoring engineers to adopt DevOps principles to optimise workflows, automate infrastructure provisioning, and deliver value to clients more efficiently. With Microsoft Fabric’s Git integration, this opens up a powerful chapter for teams looking to enhance their DevOps capabilities. But it’s not just about adding Git; it’s about leveraging Microsoft Fabric’s lifecycle management tools to bring real, measurable improvements in how we deliver software.

Lifecycle Management in Microsoft Fabric

One of the standout features in Microsoft Fabric is its comprehensive lifecycle management tools. These tools provide a standardised approach for communication and collaboration across all members of a development team. This is crucial because it ensures that everyone, from developers to operations teams, is on the same page throughout the lifecycle of a product. Effective lifecycle management accelerates the process of getting new features and bug fixes into production, creating an ongoing flow of improvements without bottlenecks.

The beauty of lifecycle management in Fabric lies in its two key components: Git Integration and Deployment Pipelines. By integrating Fabric’s Git-based workspace updates, your teams can automate the build, test, and release pipelines to ensure that your development cycles are faster, more reliable, and less prone to human error. This makes it easier to deliver new content to production quickly, whether it’s a bug fix, a security patch, or a shiny new feature that adds value to the end users. Git integration plays a central role here, allowing seamless version control and collaboration, enabling developers to work on different features concurrently without stepping on each other’s toes.


DevOps in Fabric: The Missing Piece

Now that Microsoft Fabric has Git integration, we can start applying true DevOps principles within the platform. DevOps isn’t just about automating processes—it’s about fostering collaboration, improving communication, and breaking down silos. As I work with teams, one of the first things I do is help them understand how automation and lifecycle management can be paired with DevOps practices to create a more efficient and cohesive workflow.

Mentoring engineers is one of the most rewarding aspects of my role. I work closely with teams to automate secure code builds and the infrastructure that provisions those builds. This enables development teams to focus more on coding and less on worrying about the underlying infrastructure. In a Microsoft Fabric environment, this could mean automating the deployment of entire data pipelines or deploying updates to dashboards and reports with minimal manual intervention. By streamlining these processes, development teams can release new features or updates much more quickly, which is a key tenet of both DevOps and successful software development in general.

Helping Clients Realise Value

Ultimately, the goal of applying DevOps principles to cloud platforms like Microsoft Fabric is to help my clients deliver more value to their customers. Through optimising tooling, refining delivery processes, and looking for better ways for teams to work together, I help businesses improve not just their speed of delivery but also the quality of the product. Whether it’s reducing the risk of deployment failures or ensuring that the infrastructure is cost-effective and scalable, the right approach to lifecycle management in Fabric can make all the difference.

In short, with Git integration now a part of Microsoft Fabric, it’s easier than ever to put DevOps practices into action. By leveraging the platform’s lifecycle management tools and automating infrastructure provisioning, we can help our clients unlock the full potential of Fabric, delivering better software faster and with more confidence. That’s what excites me about the future of DevOps in this space, and it’s what I’m looking forward to helping my clients achieve in the months and years ahead. 

Extended Reading

DevOps in Microsoft Fabric isn’t just about turning on Git—it’s about understanding how lifecycle management, pairing, and deployment pipelines work together. Here are some articles if you want to see exactly how to configure these features to put your ideas into reality.

What is application lifecycle management in Microsoft Fabric?

Application lifecycle management in Fabric

Get started with Git integration

The Most Successful Startups in 2025 — And What They Have in Common

~ Hamish Watson ~ Leave a comment

2025 belongs to the AI startups. If you peek into the tech headlines, you’ll see companies like OpenAI, Anthropic, Gemini, Lovable, and Poolside AI dominating the conversation. Different names, different cities, different vibes, but somehow they all seem to be drinking from the same startup magic potion.

They Solve High-Impact Problems

All these startups targeted areas with huge potential value. Some focus on general intelligence, others on AI safety, some on unlocking insights from massive datasets, and others on providing high-quality training data. What unites them is that the problems they solve are not only technically interesting but also commercially and socially significant. When the problem matters, the world takes notice.

They Build Strong Data Foundations

AI is nothing without data. The best startups treat data as a core asset from day one. They collect, clean, and structure it strategically so that every model has quality inputs. Without this foundation, even the smartest algorithm is like a car without fuel: it won’t go far.

They Iterate Fast and Fearlessly

Success in AI rarely comes from a single leap. It comes from relentless experimentation. These startups prototype quickly, test aggressively, and learn faster than anyone else. Failures aren’t setbacks; they’re data points that guide smarter iterations. Speed plus learning beats perfection every time.

They Align Vision With Trust and Ethics

AI moves fast, and so do the risks. Leading startups don’t just chase performance; they consider safety, fairness, and transparency. By embedding ethics into their operations, they gain credibility, user trust, and long-term resilience, as adoption depends on more than just clever algorithms.

Conclusion

If you look closely, the magic potion isn’t magic at all. It’s a disciplined mix of solving important problems, attracting top talent, building strong data systems, iterating relentlessly, and prioritising ethical impact. Startups that embrace these patterns dominate. And that’s the real recipe for AI success in 2025.

Yip.