When we talk about a healthy lifestyle, we know it takes more than diet and exercise. A lifelong practice of health requires discipline, logistics, and equipment. It is the same for data health: if you don’t have the infrastructure that supports all your health programs, those programs become moot.

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Today, data is constantly growing in complexity and quantity. Ensuring your users consistently find reliable answers from their dashboards and reports for informed decision-making can be difficult if you don't actively guide them on on how to optimally use the analytics tools you provide. However, the challenge is exacerbated by the fact most BI solutions on the market today still tailor their tools to experienced analysts first.

In keeping with tradition, we’ve chowed our way through the entire all-you-can-eat buffet of Kafka Summit Europe 2021 talks to bring you the best content to catch up on. Jay Kreps’ keynote this year addresses a few Kafka-shaped elephants in the room, as well as an overall shift in the way event-driven business is surfacing. On the technology front, Confluent announced new support for Kubernetes as an orchestration layer running on Kafka in a private cloud.

Today, the rate of innovation around data processing has accelerated beyond what any of us previously thought possible. Databricks recently announced their Databricks SQL offering, which is the next step in this evolution and builds on the foundation of Delta Lake to deliver interactive analytics at scale. This offering pairs with ThoughtSpot’s Modern Analytics Cloud to empower everyone in an organization to find answers to their questions with simple access to the data lake.

A long time ago, we started building software, basic calculator stuff. Small, uncluttered, and light software. Then we increased the size, complexity, and dependencies. As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being. Soon, when the software was big and hefty, manual testing became a hectic and time-consuming job too.

APIs play a critical role in helping software connect and communicate, as well as making the lives of developers a little easier. Over the years we’ve published a number of posts to help developers design APIs to get the most from them. Below is a list of our most popular API design posts you can read now or bookmark for later.

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. The main reason is – it is faster, inexpensive, flexible, and requires no maintenance. The best part is that we do not own it, can easily lease it from a service provider, can easily scale up and scale down according to requirements and only have to pay for the amount of time we use the cloud resources.

In this Kong Konnect tutorial, you’ll learn how to leverage the platform to manage your API ecosystem from a single easy-to-use interface.

Using Kong’s OpenID Connect (OIDC) plugin, Kong and Okta work together to solve three significant application development challenges: The OIDC plugin enables Kong, as the API gateway, to communicate with Okta via the OAuth/OIDC flows. That way, your app teams don’t have to configure and diagnose authentication and authorization for each service individually. With these challenges solved, app teams have more time to build and innovate.