Systems | Development | Analytics | API | Testing

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.

The Ultimate OpenTelemetry Guide for Developers

OpenTelemetry is a free and open-source software initiative with the objective of supplying software developers with the means to create distributed systems. OpenTelemetry was developed by engineers at Google, and developers have the ability to utilize it to create a standard foundation for the construction of distributed systems. The goal is to enable developers to write code once and then deploy it in any location of their choosing.

Distributed Tracing Support in N|Solid [10/10] The best APM for Node, layer by layer.

Complex modern systems are the new reality for infrastructure teams, and this is due to the evolution of Cloud Computing and working with Distributed systems, containerization, and microservices by default. The teams now have different infrastructures and virtual services with which they must take care of scalable, reliable, and performative applications.

Distributed Tracing on Kubernetes | Andrew Kew | QuadCorps | Kongcast Episode 20

In this episode of Kongcast, Viktor speaks with Andrew Kew, Director at QuadCorps and Sr. Field Engineer at Kong, about the pillars of observability, distributed tracing on Kubernetes, and tools that can help you get the most out of distributed tracing.

HTTP Tracing in N|Solid [4/10] The best APM for Node, layer by layer

In Node.js, you can centralize tracing information generated by V8, Js code, and userspace code. Directly in the APMs, tracing means that you will have a detail of each flow in your application's process; this means that you will have records available of each time a function is called or a database or external information is called. With tracing, you will have a way to capture, visualize and analyze traces across complex architectures, including architectures that use monoliths and microservices.

Metrics and Logs Are Out, Distributed Tracing Is In

In this episode of Kongcast, I spoke with Chinmay Gaikwad, the tech evangelist at Epsagon, about distributed tracing and observability for microservices architectures. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.

Metrics and Logs Are Out, Distributed Tracing Is In With Chinmay Gaikwad | Kongcast Episode 5

In this Kongcast Episode, Chinmay Gaikwad, tech evangelist at Epsagon, explains why metrics and logs aren’t sufficient for companies with a microservices architecture. Instead, Chinmay recommends leveraging distributed tracing for optimal observability.

Error logging, tracing, and improving developer workflow with Jeffrey T. Fritz

Today Nico joined Jeffrey T. Fritz on the Fritz and Friends live coding stream and we talked about how Rollbar can be added to your applications to provide better logging, error tracking, and reporting. We walked through the story of Rollbar and added the logging solution to the KlipTok service that manages interactions with internet bots for the various social networks and search engines. See why 100,000+ developers trust Rollbar to analyze, diagnose & fix errors in record time.

Take your mobile monitoring to the next level

While there’s room for debate in what constitutes sufficient monitoring for a mobile app, it’s no question that if you wait long enough for users to report issues, then soon you will have no users. For most mobile development teams, you are not measured against how many features you deliver or bugs you fix, but by how successful your app is and how much value it delivers to users. As a result, you need to know where the app is providing a subpar experience and why.