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.
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.
Kong is a popular open-source API gateway to help manage your APIs. With Kong, you can handle authentication, rate limiting, data transformation, among other things from a centralized location even though you have multiple microservices. Kong is built on NGINX at it’s core, one of the most popular HTTP servers. Being open-source, Kong is very easy to deploy on-premises usually in just a few minutes without requiring the installation of many components other than a Postgres or Cassandra store.
