Systems | Development | Analytics | API | Testing

API

Event-Driven Architecture: Understanding its Significance for Software Development

The concept of Event-driven Architecture (EDA) has gained increasing attention in recent years. EDA is a style of software architecture that emphasizes the communication between software components via events, rather than direct invocation or method calls. In this blog post, we will delve into the concept of EDA and explore its significance in modern software development.

How To Use Static Alerts In Moesif

Using alerts can add a lot of value for your team, product, and users. Static alerts work well when the threshold is constant and predictable. Creating a dynamic alert can be done in a matter of minutes, instantly levelling-up your API monitoring strategy. Join Dylan as he shows users how to create Static Alerts within Moesif. In this tutorial, we will cover how to: Powerful API analytics, a perfect companion for your API Gateway, is only a few moments away.

How To Use Dynamic Sampling in Moesif

Join Dylan as we show users how to create Dynamic Sampling rules within Moesif. In this tutorial, we will cover how to: Dynamic sampling is a fantastic cost-savings feature available to customers on our Enterprise plan. Dynamic sampling enables you to control which API calls are logged to Moesif based on customer or API behavior. Moesif will intelligently extrapolate metrics for accurate reporting even with multiple sample rates in place. That means that no matter what rules or sample rates you have set up you can be sure you are still seeing an accurate representation of your data.

Why You Shouldn't Skimp on Both Functional and Visual UI Testing

There are many components to a successful web testing strategy, but one of the most often overlooked is the importance of visual UI testing in addition to functional testing. Most teams will focus on one over the other, but to truly catch as many bugs as possible, you’ll need to incorporate both. First, you need to understand what the difference is and why they’re both needed.

Machine Learning Operations (MLOps) Practices in WSO2 Choreo

MLOps also known as Machine Learning Operations is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT. In this video, you can learn about the basics of MLOps and its applications in Choreo.