If you are interested in reactive, non-blocking, and asynchronous Java development, you are likely familiar with Eclipse Vert.x. The project started in 2011 and successfully moved to the Eclipse Foundation in 2013. Since then, Vert.x has undergone nine years of rigorous development and grown into a thriving community. It is one of the most widely used reactive frameworks, with support for multiple extensions, including extensions for messaging or streaming with Kafka or Artemis, developing applications with gRPC and GraphQL, and so much more.
Continue reading Introducing the Red Hat build of Eclipse Vert.x 4.0
Metrics, traces, and logs might be the Three Pillars of Observability, as you’ve certainly already heard. This mantra helps us focus our mindset around observability, but it is not a religion. “There is so much more data that can help us have insight into our running systems,” said Frederic Branczyk at KubeCon last year.
These three kind of signals do have their specificities, but they also have common denominators that we can generalize. They could all appear on a virtual timeline and they all originate from a workload, so they are timed and sourced, which is a good start for enabling correlation. If there’s anything as important as knowing the signals that a system can emit, it’s knowing the relationships between those signals and being able to correlate one with another, even when they’re not strictly of the same nature. Ultimately, we can postulate that any sort of signal that is timed and sourced is a good candidate for correlation as well, even if we don’t have hard links between them.
Continue reading “Metrics and traces correlation in Kiali”
Getting started with distributed tracing can be a daunting task. There are many new terms, frameworks, and tools with apparently overlapping capabilities, and it’s easy to get lost or sidetracked. This guide will help you navigate the open source distributed tracing landscape by describing and classifying the most popular tools.
Continue reading “A guide to the open source distributed tracing landscape”
A significant challenge of moving from a traditional monolithic application design to a microservices-based architecture is the ability to monitor the business transaction flow of events throughout your entire distributed system. Join us for the next online DevNation Live on June 21st at 12pm EDT for Advanced Microservices Tracing with Jaeger, presented by Red Hat software engineers Pavol Loffay and Juraci Paixão Kröehling.
In this session, we’ll examine in detail the Cloud Native Computing Foundation (CNCF) OpenTracing API, a consistent, expressive, vendor-neutral API for distributed tracing and context propagation. We will also analyse Jaeger, an open source distributed tracing system inspired by Google Dapper and OpenZipkin.
Join us to gain an understanding of Jaeger’s open source distributed tracing system and how it can help you monitor and troubleshoot microservices-based distributed systems.
Watch the video of the recorded session:
Continue reading “Next DevNation Live: Advanced Microservices Tracing with Jaeger, June 21st, 12pm EDT”
This blog is part of a series looking deeper at Envoy Proxy and Istio.io and how it enables a more elegant way to connect and manage microservices. Follow me @christianposta to stay up with these blog post releases. I think the flow for what I cover over the next series will be something like:
- What is Envoy Proxy, how does it work?
- How to implement some of the basic patterns with Envoy Proxy?
- How Istio Mesh fits into this picture?
- How Istio Mesh works, and how it enables higher-order functionality across clusters with Envoy?
- How Istio Mesh auth works?
Here’s the idea for the next couple of parts (will update the links as they’re published):
Continue reading “Microservices Patterns With Envoy Proxy, Part III: Distributed Tracing”