When a business application slows down, bad things happen. Your customer support gets slammed with service requests. Your boss calls an emergency meeting to talk to the product and developer teams. Everybody’s asking the same question: what happened? Diagnosing a slow application and finding the cause of the problem is something developers need to do quickly. Performance-related problems are in the top five SaaS user churn, which is a major preventable loss of revenue.

Artificial intelligence and machine learning are relentlessly revolutionizing marketplaces and ushering in radical, disruptive changes that threaten incumbent companies with obsolescence. To maintain a competitive edge and gain entry into new business segments, many companies are racing to build and deploy AI applications.

Once, dashboards and reports were limited to being embedded into our apps as standalone modules - essentially, as separately accessed product features. This limitation sometimes meant analytics is forgotten by users, and more often than not, underutilized in its potential. Today, contextual analytics makes it possible to embed analytics directly into the core workflow of your software.

One of the best ways to stay current in the fast-evolving field of artificial intelligence and machine learning is by following thought leaders, evangelists, and influencers in the industry. In this article, we’ve selected 10 of the most influential thought leaders (listed alphabetically) that are helping drive the field forward.

The field of data analytics is rapidly evolving alongside advances in technologies such as AI and machine learning. There are many valuable resources online that can help you stay up-to-date with the industry — from news sites, industry analysis, and the latest scientific research. We’re listing the top 10 websites and blogs (listed alphabetically) for anyone interested in keeping up with recent industry developments.

In the world of software development, there’s no such thing as writing perfect code. As such, almost every software developer ends up spending a great deal of their time debugging code. Therefore, one of the best ways to increase your efficiency as a developer is to have the ability to locate errors, identify the root cause, and fix it to resolve problems in your codebase.

As all dev managers, including ourselves, have witnessed, the last few years have been characterized by unprecedented and rapid technological advances. Due to this, there has been a fundamental change in the way applications are being developed. The software world as we knew it shifted from monolithic app development to new methods such as microservices architectures, cloud functions, and distributed systems that are faster and more agile.

Over the last few years, we have seen an avalanche of tools to enable easier software development on Kubernetes (let’s face it, it is quite hard out of the box). As often happens in growing ecosystems, some tools grow and adapt, while others get left behind, or at the very least, merged into new offerings. What’s a better way to open 2021 than with an up-to-date review of the options we have?

Cumulative Layout Shift or CLS, Web Vitals and Core Web Vitals, these terms seem complicated, but it’s actually not that hard to understand what they stand for.

2020 was a testing year for one and all. There were many challenges we had to face and still continue to face. One of them was the challenge to continue working even with the pandemic situation. But, thanks to technological advancements, most of us were able to figure out a way to keep working. And that gave birth to a new style of working for the majority of people around the world. The new style of working includes working from home.