Finding efficient ways to process, share, and reuse functionality and data is crucial – it’s an important way to break down monolithic applications into more consumable and maintainable microservices. In today’s API-focused world, this translates into multiprotocol development (gRPC, GraphQL, EDAs, etc.) and an enhanced development process (governance, standards, design-first). To understand this, we need to look more closely at protocols.

When you hear “Artificial Intelligence,” (AI) what do you think of? You might picture advanced humanoid robots or futuristic technology from sci-fi movies. But as it turns out, this “futuristic” technology is already integrated into our lives. It exists in our phones, televisions, and homes to make everyday tasks simpler. When it comes to software testing, AI can be implemented into your testing initiatives to increase efficiency.