Do you write Elixir but sometimes miss the benefits of type safety we have in other languages? If the answer is "yes", you may want to take a look at Gleam. It is a relatively young language that runs on top of the BEAM platform, which means it can be added as an enhancement to an Elixir codebase without you having to rewrite everything. In this article, we will add Gleam code to an Elixir project.

API rate limiting involves using a mechanism to control the number of requests an API can handle in a certain time period. It's a key process for ensuring that APIs perform to a high level, provide a quality user experience, and protect the system from overload.

Introduction Automation is the key to efficiency and accuracy in today's fast-paced development cycles. The API test case generator (beta) in Katalon Studio is an AI-powered feature that streamlines the creation of test cases from OpenAPI/Swagger specifications. By automating this process, the generator significantly reduces the time and effort required for manual test case creation, paving the way for faster and more efficient API testing.

The Q2 2024 Confluent Cloud launch introduces a suite of enhancements across the four key pillars of a Data Streaming Platform - Stream, Connect, Process, and Govern – alongside some significant work we have been doing with our partner ecosystem to help customers unlock new possibilities. Confluent has helped over 4,900+ global enterprises start their data streaming journey and was recently named a Leader by Forrester Research in The Forrester Wave: Streaming Data Platforms, Q4 2023.

Today, Snowflake is excited to announce that the Llama 3.1 collection of multilingual large language models (LLMs) are now available in Snowflake Cortex AI, providing enterprises with secure, serverless access to Meta’s most advanced open source model. Snowflake offers the largest context window of any vendor, at 128k, for the Llama 3.1 collection of models.

As a developer working with microservices architectures, you may find yourself facing numerous challenges. Managing multiple services, each with its own potential points of failure, can be complex. Issues such as communication difficulties, security concerns, and lack of visibility are common in these environments. These challenges are not unique. As microservices architectures expand, they often introduce complexities that can be demanding for development teams to handle.

REST and SOAP are two critical web services technologies that revolutionize how businesses use APIs. Since APIs are so common, it's important to test them regularly to find vulnerabilities or potential operating problems within the web service. To test a SOAP or REST service, you can use tools like SoapUI or Postman to send requests to the service endpoint, validate responses, and verify that the service behaves as expected under various conditions.