In today’s digital world, applications need to communicate with each other to provide users with seamless experiences. This communication is often made possible through APIs (Application Programming Interfaces). API integration is a process where different software systems are connected using APIs, allowing them to share data and functionalities. Let’s delve deeper into what API integration is, how it works, and why it’s crucial for modern software development.

Having a dedicated branching strategy is key for teams wanting to speed up their workflows, meet tasks on a deadline, and reduce code errors. But with all the different branching strategies – including release branching, trunk-based branching, feature branching, and more – it can be difficult to determine which one best fits your team’s needs.

Why should you prioritize an API design-first approach in your development strategy? This essential methodology promotes early and thorough API specification, fostering a blueprint that guides the entire development process. You can cut straight to improved efficiency, consistency, and quality in your API projects by embracing this approach from the start.

While many tools exist to build and deploy your no-code APIs, your options are limited when your solution requires a custom or highly bespoke APIs that execute custom logic.

Today’s data-driven world requires an agile approach. Modern data teams are constantly under pressure to deliver innovative solutions faster than ever before. Fragmented tooling across data engineering, application development and AI/ML development creates a significant bottleneck, hindering the speed of value delivery required to stay competitive. Disparate tools create a complex landscape for developers and data teams, hindering efficient pipeline development and deployment.

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. However, as applications and pipelines grow in complexity, understanding what’s happening beneath the surface becomes increasingly crucial. A lack of visibility hinders the development and maintenance of high-quality applications and pipelines, ultimately impacting customer experience.

Two of the main tenets of Zero Trust are encryption between services and managing the connections each service is allowed to use. Achieving this generally falls to running a service mesh in a Kubernetes cluster. Refactoring applications to run properly in Kubernetes takes time and considerable investment. For many organizations, running their applications on virtual machines will be a necessity for years to come. However, this doesn't mean security should fall behind.