Back in 2020, we covered the launch of Lambda Extensions and the subsequent release of the Lambda Logs API. These features aren’t designed for the average Lambda user. But they allow vendors to build better tools by giving them much-needed access to the Lambda execution environment.

Content management is shifting toward two headless options: Git-based and API-driven. Headless CMS solutions allow developers to edit and manage content easily while still using the front- and back-end tools and platforms they know and love. These Git-based and API-driven CMS solutions give developers a new way to expedite CI/CD processes without compromising product quality. Git is an essential tool for both beginners and seasoned software developers.

Load testing is one of the most common ways to test the resiliency of your applications. In this blog we show how recording production data with Speedscale and exporting to a K6 load tests gives you the best of both worlds. Whether or not it’s important for your organization, there are clear benefits to be had from implementing these types of tests. By doing so, you can: When it comes to load testing, two of the most modern tools are Speedscale and K6.

You can now use Checkly to monitor API endpoints secured with TLS Client Certificates. This post dives into why and how you would use client certificates and mTLS (Mutual TLS) in your API infrastructure. Let's go!

AWS recently introduced a new Lambda Telemetry API giving users the ability to collect logs, metrics, and traces for analysis in AWS services like Cloudwatch or a third-party observability platform like Coralogix. It allows for a simplified and holistic collection of observability data by providing Lambda extensions access to additional events and information related to the Lambda platform.

Maintain high uptime and performance for your APIs without any overheads using Google Cloud’s API monitoring tools.

I have been building a feature on elmah.io lately that picks up validation results from an external API. Before serverless was a thing, I would probably have done this using a scheduled task or Windows Service using Hangfire or similar. But after having migrated everything to serverless Azure Functions, I wanted a good solution running similarly. Azure Durable Functions turned out as the perfect companion and in this post, I'll show you a possible way to implement polling of an asynchronous API.

API is short for Application Programming Interface. The software-to-software interface provides a secure and standardized way for systems to work with each other. API security means implementing practices that protect APIs from malicious attacks and data theft. Thanks to APIs, applications can deliver the information or functionality requested without user intervention. This means our everyday digital experiences remain virtually effortless.

Due to the increasing influence of businesses on APIs, the volume of APIs on which they rely, and the administrative challenges that APIs pose, API administration has gained popularity. For the most part, other apps don’t have the exact requirements or construction and management processes as APIs. Vital documentation, higher security standards, extensive testing, frequent versioning, and excellent reliability are all requirements for using APIs properly.