The latest News and Information on API Development, Management, Monitoring, and related technologies.

How We Implemented a Zero-Error Policy Using Coralogix

With dozens of microservices running on multiple production regions, getting to a point where any error log can be immediately identified and resolved feels like a distant dream. As an observability company, we at Coralogix are pedantic when it comes to any issue in one of our environments. That’s why we are using an internal Coralogix account to monitor our development and production environments.

Getting started with continuous integration for Nest.js APIs

Nest.js is a scalable and efficient server-side Node.js framework built with TypeScript. Nest.js was created to provide a structural design pattern to the Node.js development world. It was inspired by Angular.js and uses Express.js under the hood. Nest.js is compatible with the majority of Express.js middleware. In this tutorial, I will lead you through building a RESTful API with Nest.js. The tutorial will familiarize you with the fundamental principles and building blocks of Nest.js.

Comparing REST and GraphQL Monitoring Techniques

Maintaining an endpoint, especially a customer-facing one, requires constant monitoring, whether using REST or GraphQL. As the industry has looked for solutions to build a more adaptive endpoint technology, it is also a must to monitor these endpoints. GraphQL and REST are two different technologies that allow user-facing clients to link to databases and platform logic. Both GraphQL and REST include monitoring techniques.

gRPC Observability and Testing using the Speedscale CLI

gRPC is a remote procedure call framework that has been widely adopted among cloud native applications. It is an attractive choice for engineers needing more capabilities than what REST APIs provide. However, observability and testing tools for gRPC are few and far between. Because of this, triaging or understanding application behavior is potentially time-consuming and overly burdensome.

The Role of Volume Tests in Software Testing

Modern-day applications aim to cover a wide range of users’ needs in a flexible and scalable manner. The software development landscape is moving at a fast pace, and the competition is so fierce that a business simply can’t afford to offer a low-quality product. Thorough testing of both functional and non-functional aspects of a software application has become an essential step in the software development process. It ensures that users get the best version of your product.

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Speedscale Launches CLI: Free API Observability Tool

We are excited to announce the launch of Speedscale CLI, a free observability tool that inspects, detects and maps API calls on local applications or containers. The offering underscores the importance of continued and proactive API testing to quickly detect and debug defects within a shifting array of upstream and downstream interdependencies.

REST API Observability for Python

In this blog post we’ll help answer the age old question, “What does this service talk to and what does it say?” We’ll see how to inspect inbound and outbound REST API calls to see what calls are being made and what incoming traffic causes a reaction. This can be pretty handy when you’re taking over maintenance of an existing service, or if your code just isn’t behaving the way you expect.

AWS outage leaves millions in the dark, points to need for better API monitoring

Millions of users of popular apps, such as Facebook, Ring, Alexa, Disney+, and more were left scratching their heads wondering when they would be back online due to a widespread Amazon Web Services (AWS) outage Tuesday. The outages were centered on a number of core AWS services in the US-EAST-1 Region, including increased API error rates with Amazon DynamoDB, Amazon Elastic Compute Cloud and Amazon Connect, which handles contact center calls. — AWS Service Health Dashboard

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Service Mocks: Scaling a SaaS Demo with Traffic Replay

Building, running and scaling SaaS demo systems that run around the clock is a big engineering challenge. Through the power of traffic replay, we scaled our demos in a huge way. A few weeks ago we launched a new demo sandbox. This is actually a second generation version of our existing demo system that I built a few months ago (codename: decoy). Because the traffic viewer page shows the most recent data by default, you need to constantly be pumping new data in there. Any type of real-time SaaS system is going to have a similar requirement. So this needs to be planned.