Systems | Development | Analytics | API | Testing

We are in post-pandemic times but certain things are not going back to “normal”. Although we get used to spending long hours using technology, businesses and people are still having a hard time jumping into a fully cloud-based environment, and that’s ok. There are some risks to consider depending on the business industry, like privacy protocols, control of data, and so on.

Value Stream Management (VSM) is about empowering delivery organizations to measure, mitigate, and monitor complexity. Simply put, it aims at improving the flow of value in your organisation. The VSM Consortium recently released their highly anticipated report on “The State of Value Stream Management 2022” . In this post we recap some of the findings and look at it specifically from a software engineering and platform engineering point of view.

Regression testing involves repeatedly evaluating an upgraded web app, software program, or system's existing functionalities as we went through Regression Testing Challenges and Best Practices in a previous post. Testers use it to verify an app's live and new features operate properly. Under regression testing, the quality analyst evaluates current features' functional and non-functional aspects for defects and mistakes.

Today every company is a data company. And even with all the great new data systems and technologies, it’s people—data teams—who unlock the power of data to drive business value. But today’s data teams are getting bogged down. They’re struggling to keep pace with the increased volume, velocity, variety, complexity—and cost—of the modern data stack. That’s where Unravel DataOps observability comes in.

It’d be hard to find anyone who’d say that taking a data-driven approach to business decisions is not worthwhile. Yet, so many businesses aren’t doing it because, as simple as it may sound on paper, it takes a great deal of strategic planning to pull off. One of the most crucial tools when it comes to accomplishing a data-driven decision-making process is known as ETL.

What if I want to serve a Huggingface model on ClearML? Where do I start? In general, machine learning engineers know by now that a good model serving engine is invaluable when serving models in production. These days, NVIDIA’s Triton inference engine is a popular option to do so, but it is lacking in some respects.

Is your small business struggling with inflation? Not sure whether to cut costs or optimize spend? We’ve analyzed 55 small businesses in an attempt to help you solve this dillemma.

Yesterday, Thursday 15th September, Adobe agreed to buy the collaborative design tool Figma for $20bn. Figma is a browser-based tool that enables team members to work together simultaneously to create, modify and comment upon designs in realtime. It’s part of a new breed of online tools that enable the creative process to be live and collaborative. Figma was rumored to be in the running for acquisition by Microsoft, and Adobe has paid top price to snap it up.

In its 2022 Magic Quadrant™ for Data Integration Tools report, Gartner® observes that “organizations are increasingly seeking a comprehensive range of improved data integration capabilities to modernize their data, analytics and application infrastructures.”

In the first blog of this series, I used the metaphor of a bridge connecting two towns to illustrate the importance of establishing purposeful connections between your shift left and shift right testing initiatives. Modern product organizations that fail to engineer a bridge to link the two “towns” (shift left and shift right) will, at a minimum, suboptimally utilize precious human and machine testing resources.