Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• The benefits of Python are plenty, but it's not for everyone

  Python boasts plenty of features that make it a go-to object-oriented language. But is it always the right choice? We take a look at what you should know about coding with Python. Continue Reading

• API gateway comparison: Kong vs. Tyk

  API gateways help organizations smooth out interactions among microservices. This side-by-side rundown of Kong vs. Tyk will help you choose which tool fits your business' needs. Continue Reading

• What are the benefits of event-driven architecture patterns?

  See how event-driven architecture patterns can set up an enterprise application for adaptability in a way that monolithic architectures can't. Continue Reading

• The benefits -- and tradeoffs -- of a mobile SDK

  A mobile SDK can do wonders for mobile app development. But how does it work, and what are the pitfalls to watch out for when you take this approach? Continue Reading

• Compare microservices deployment patterns for best strategy

  To solve pesky deployment woes, match your app to a microservices deployment pattern, like single service instance per host, multiple service instances per host or even serverless. Continue Reading

• How do you choose between SDKs and APIs for enterprise apps?

  Explore the pros and cons that differentiate SDKs and APIs from each other and come to understand what types of applications call for SDKs, APIs or both.Continue Reading

• When GraphQL wins in a GraphQL vs. REST performance comparison

  Delve into the fundamental benefits and intricate features of GraphQL, and see just why it can serve as a much better alternative to REST in many scenarios.Continue Reading

• ICYMI: How to select and manage serverless APIs effectively

  Explore how API selection and API management in a serverless architecture can make all the difference between getting results and having your project fall flat.Continue Reading

• Software reliability engineering practices for distributed apps

  Learn how these four software reliability engineering concepts -- inventories, monitoring, observability and Pareto analysis -- can aid API management and application performance.Continue Reading

• What semantic monitoring can and can't do for microservices

  Semantic monitoring can identify microservices performance problems, catch bugs in transactions and ensure uptime. But when you test in production, you'd better know what you're doing.Continue Reading

• API workflow design patterns for microservices scenarios

  When it comes to workflow systems for microservices, there's no one-size-fits-all approach. Learn about the API workflow pattern options that can set you straight.Continue Reading

• Why would I use Micronaut framework instead of Java?

  Micronaut is JVM-based, so what does it bring to application development and test that the Java framework doesn't already address?Continue Reading

• The essentials of refactoring a monolith to microservices

  Enterprise apps are complex, long-lived and vital to the business. In short, they're excruciatingly difficult to modernize. If you address these prerequisites, it will hurt less.Continue Reading

• Streamline CI/CD with the Jenkins Blue Ocean tool

  Organizations that run Jenkins may find that plugins complicate their CI/CD pipeline. Here's how the continuous delivery tool Blue Ocean can help keep things on track.Continue Reading

• 3 serverless development strategies for stateful applications

  Serverless developers can connect stateless functions to state information in several ways, without introducing debilitating latency to the application design.Continue Reading