Systems | Development | Analytics | API | Testing

Monitoring

Why Full Lifecycle API Management Needs API Testing and Monitoring

Development, application, and security leaders are increasingly embracing a full-lifecycle approach to managing internal and public API programs. While distributed teams and a growing remote workforce may build products with different toolchains and infrastructure requirements, one thing that must stay consistent is quality at speed. This means that teams need highly scalable, reliable, and integration-friendly backend API management and testing.

How to Use Prometheus to Monitor Kong Gateway

Observability is a critical part of Kong’s API Gateway. In this post, we’ll describe two options to monitor Kong Gateway using Prometheus. Prometheus is an open source system monitor toolkit built at SoundCloud that is now widely adopted. StatsD was originally a simple daemon developed by Etsy to aggregate and summarize application metrics. Prometheus provides a StatsD exporter to collect metrics that are sent in StatsD format.

Distributed tracing with Envoy, Kuma, Grafana Agent, and Jaeger

As a cloud service provider, observability is a critical subject as it's strongly related to the availability of the services running on the platform. We need to understand everything that is happening on our platform to troubleshoot errors as fast as possible and improve performance issues. A year ago, while the platform was still in private beta, we faced a tough reliability issue: users were facing random 500 errors when accessing their applications.

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Datadog & Speedscale: Improve Kubernetes App Performance

By combining traffic replay capabilities from Speedscale with observability from Datadog, SRE Teams can deploy with confidence. It makes sense to centralize your monitoring data into as few silos as possible. With this integration, Speedscale will push the results of various traffic replay conditions into Datadog so it can be combined with the other observability data. Being able to preview application performance by simulating production conditions allows better release decisions. Moreover, a baseline to compare production metrics can provide even earlier signals on degradation and scale problems. Speedscale joined the Datadog Marketplace so customers can shift-left the discovery of performance issues.

Establish a Code Ownership Loop with Collaborator and Bugsnag

This blog is derived from the webinar, “Accelerate Releases Through Code Ownership with Collaborator and Bugsnag”, focused on establishing a culture of code ownership and its benefits through the lens of the SmartBear tools Collaborator and Bugsnag. Taking a line from the SmartBear 2021 Annual State of Software Quality Report: "Quality is top of the mind for every individual and every team.