Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes.

Before immersing yourself in this tutorial, it’s best to ensure you’ve got the following prerequisites.

In this blog, we will demonstrate how to get the code coverage data for each incoming request on a python web server built using any web framework.

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.

Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations.

Why forward-thinking organizations are turning to a data mesh architecture.

Have you noticed how quickly the retail industry is changing? It's all thanks to digital transformation, which is happening at an incredible pace. We bet you're curious about why this shift is happening and what's driving it. Don't worry, you're not alone in your questions. Many people are wondering about the same thing. With each passing day, we see new technologies and IT solutions being adopted by retailers to stay ahead of the competition and offer better user experiences.

Dive into the world of seamless CI/CD workflows and take your release management process to a level of efficiency your team can’t achieve on their own. Streamline your releases with Release Management.

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.

Many organizations face the challenge of legacy application modernization. DreamFactory, an on-premise API generation and management platform, offers a robust solution for this transition. By enabling the creation of APIs from any data source, automating integration processes, and enhancing security measures, DreamFactory simplifies the modernization of outdated systems.