Austin Parker, Community Maintainer at OpenTelemetry, joins Corey on Screaming in the Cloud to discuss OpenTelemetry’s mission in the world of observability. Austin explains how the OpenTelemetry community was able to scale the OpenTelemetry project to a commercial offering, and the way Open Telemetry is driving innovation in the data space. Corey and Austin also discuss why Austin decided to write a book on OpenTelemetry, and the book’s focus on the evergreen applications of the tool.
About Austin
Austin Parker is the OpenTelemetry Community Maintainer, as well as an event organizer, public speaker, author, and general bon vivant. They've been a part of OpenTelemetry since its inception in 2019.
Links Referenced:
OpenTelemetry: https://opentelemetry.io/
Learning OpenTelemetry early release: https://www.oreilly.com/library/view/learning-opentelemetry/9781098147174/
Page with Austin’s social links: https://social.ap2.io
OpenTelemetry project offers vendor-neutral integration points that help organizations obtain the raw materials — the "telemetry" — that fuel modern observability tools, and with minimal effort at integration time. But what does OpenTelemetry mean for those who use their favorite observability tools but don’t exactly understand how it can help them? How might OpenTelemetry be relevant to the folks who are new to Kuberentes (the majority of KubeCon attendees during the past years) and those who are just getting started with observability?
Austin Parker, head of developer relations, Lightstep and Morgan McLean, director of product management, Splunk, discuss during this podcast at KubeCon + CloudNativeCon 2022 how the OpenTelemetry project has created demo services to help cloud native community members better understand cloud native development practices and test out OpenTelemetry, as well as Kubernetes, observability software, etc.
At this conjecture in DevOps history, there has been considerable hype around observability for developers and operations teams, and more recently, much attention has been given to helping combine the different observability solutions out there in use through a single interface, and to that end, OpenTelemetry has emerged as a key standard.
DevOps teams today need OpenTelemetry since they typically work with a lot of different data sources for observability processes, Parker said. “If you want observability, you need to transform and send that data out to any number of open source or commercial solutions and you need a lingua franca to to be consistent. Every time I have a host, or an IP address, or any kind of metadata, consistency is key and that's what OpenTelemetry provides.”
Additionally, as a developer or an operator, OpenTelemetry serves to instrument your system for observability, McLean said. “OpenTelemetry does that through the power of the community working together to define those standards and to provide the components needed to extract that data among hundreds of thousands of different combinations of software and hardware and infrastructure that people are using,” McLean said.
Observability and OpenTelemetry, while conceptually straightforward, do require a learning curve to use. To that end, the OpenTelemetry project has released a demo to help. It is intended to both better understand cloud native development practices and to test out OpenTelemetry, as well as Kubernetes, observability software, etc.,the project’s creators say.
OpenTelemetry Demo v1.0 general release is available on GitHub and on the OpenTelemetry site. The demo helps with learning how to add instrumentation to an application to gather metrics, logs and traces for observability. There is heavy instruction for open source projects like Prometheus for Kubernetes and Jaeger for distributed tracing. How to acquaint yourself with tools such as Grafana to create dashboards are shown. The demo also extends to scenarios in which failures are created and OpenTelemetry data is used for troubleshooting and remediation. The demo was designed for the beginner or the intermediate level user, and can be set up to run on Docker or Kubernetes in about five minutes.
“The demo is a great way for people to get started,” Parker said. “We've also seen a lot of great uptake from our commercial partners as well who have said ‘we'll use this to demo our platform.’”
About Austin
Austin makes problems with computers, and sometimes solves them. He’s an open source maintainer, observability nerd, devops junkie, and poster. You can find him ignoring HN threads and making dumb jokes on Twitter. He wrote a book about distributed tracing, taught some college courses, streams on Twitch, and also ran a DevOps conference in Animal Crossing.
Links:
Lightstep: https://lightstep.com/
Lightstep Sandbox: https://lightstep.com/sandbox
Desert Island DevOps: https://desertedislanddevops.com
lastweekinAWS.com Resources: https://lastweekinAWS.com/resources
Distributed Tracing in Practice: https://www.amazon.com/Distributed-Tracing-Practice-Instrumenting-Microservices/dp/1492056634
Twitter: https://twitter.com/austinlparker
Personal Blog: https://aparker.io
About Ben Sigelman
Ben Sigelman is a co-founder and the CEO at LightStep, a co-creator of Dapper (Google’s distributed tracing system), and co-creator of the OpenTracing and OpenTelemetry projects (both part of the CNCF). Ben's work and interests gravitate towards observability, especially where microservices, high transaction volumes, and large engineering organizations are involved.
Links Referenced
OpenTracing: https://opentracing.io/
OpenTelemetry: https://opentelemetry.io/
Twitter: https://twitter.com/el_bhs
Email: bhs@gmail.com
This podcast: http://ScreamingintheCloud.com