Starting with the 3.3 release, Kong Gateway includes a new implementation of the internal queues that are used by several plugins to decouple the production of data in the proxy path and its submission to a receiving server, such as a log server. We’ll walk you through why queues are needed, why a new implementation was required, how the new implementation works and how queues are configured.
As API usage and dependence continue to grow, the need for a reliable, performant, and secure API gateway has become even more essential. Kong Gateway Open Source continues to be the world’s most adopted API gateway, setting the benchmark for performance, reliability, and observability. Today, we’re excited to unveil Kong Gateway 3.3 for Open Source, a release that once again elevates the API gateway experience to new heights.
Failure is the norm. Out of the thousands of consumer products launched each year, 80% fail. For tech start-ups, the situation is marginally more favorable but, even so, only one in ten succeed. The companies that make it all have one thing in common: a focus on product adoption. From launch through to maturity, ensuring that people are signing-up for and using your product is an almost perfect proxy for product-market fit.
Learn how to overcome the complexity of SAP systems to leverage centralized manufacturing data.
Have you ever been in a meeting and wondered how something is calculated? Or what another department’s acronym means? Or how that topic is actually defined? In some moments, you don’t need the data itself — you just need the definition of a data term. In that situation, you want the ability to look up a term in a business glossary (or data glossary) as quickly and simply as possible.
Are you looking to streamline your machine learning projects from start to finish? Look no further than MLflow! In this blog, we'll discuss how to use MLflow to manage the entire lifecycle of your ML project – from creating and training models to comparing results and deploying them.
DBS Bank Head of Automation, Infrastructure for DBS Big Data, AI and Analytics Luis Carlos Cruz Huertas has a 1-on-1 discussion with Unravel CEO and Co-founder Kunal Agarwal about the convergence of DataOps and FinOps. The discussion, Leading Cultural Change for Data Efficiency, Agility, and Cost Optimization, was held at a recent Untap event in New York and revolves around best practices, lessons learned, and insights on.
Exploratory testing is a testing approach that includes simultaneously learning from/about the system, documenting the steps, executing the test, and reflecting on the results. Since exploratory testing is unstructured and not constrained to a specified collection of test cases, it differs from scripted testing. Instead, using their expertise, creativity, and intuition, testers execute tests that may reveal defects or other issues in the product.
