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:
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If you are interested in serverless computing / Functions-as-a-Service (FaaS), and are not following the OpenShift blog, you should checkout The State of Functions-as-a-Service on Kubernetes. This video is part of the OpenShift Commons Briefing series, which has a lot of great content for developers who interested in cloud-native applications and microservices running on OpenShift and Kubernetes.
FaaS, or serverless as some call it, is a promising compute paradigm suitable for event-driven scenarios. In this briefing, Red Hat’s Michael Hausenblas and Brian Gracely reviewed the current open source offerings for FaaS on Kubernetes (Apache Open Whisk, kubeless, OpenFaaS, etc.) and discussed the pros and cons, on an architectural level and a user experience (UX) point of view. They also covered the topic FaaS vs. containers from a developers as well as an operators perspective.
This talk builds on material gathered by the Serverless Working Group , which is part of the Cloud Native Computing Foundation (CNCF). CNCF serves as the vendor-neutral home for many of the fastest-growing projects on GitHub, including Kubernetes, Prometheus, and Envoy.
Video, slides, and other resources:
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