Systems | Development | Analytics | API | Testing

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.

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.

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.

Software teams have found themselves in the center of the business’ strategy. Their strategic decisions on technologies to invest in has resulted in greater agility and the ability to build products that differentiate their companies in the market. As a result, optimizing the ability for software teams to deliver by investing in stronger tooling has become a core priority.

Everything that occurs is a change in state, or an event for short: the sun comes out, the bus arrives, plants emerge from the ground, a neighbor says hello, the calendar page turns to a certain date or time, or your team lead yells that you should get to da choppa. Among all events, the ones that must be observed, recorded, or otherwise acted upon can be categorized based on how timely the reaction needs to be.

Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.

Risk management framework helps you to set up a structured process for information security and risk management activities. Here, we explain what is the risk management framework (RMF), what are RMF controls, and how you can comply with RMF controls. Read along or jump ahead to the section that interests you the most.

Low-code application development went mainstream in 2020—and it continues to pick up speed. Forrester predicts that by the end of 2021, 75 percent of development shops will use low-code platforms (up from just 44 percent in 2020)[1]. Unfortunately, many IT teams are only scratching the surface of low-code’s power. Why? Because they’re running low-code projects with traditional high-code development practices. That’s like putting a minivan engine in a race car.