Workshop: Observing and Understanding Distributed Systems With OpenTelemetry (Morning Session)
Modern systems architecture often splits functionality into microservices for adaptability and velocity. The challenge of managing infrastructure for microservices has led to the cloud native ecosystem, including Kubernetes, Envoy, gRPC, and other projects. Observability, including application performance management (APM), is an essential component of a cloud-native stack. Without observability, application developers and operators cannot understand the behavior of their applications and ensure the reliability of those applications.
OpenTelemetry (the successor to OpenCensus and OpenTracing) is a standardized library and specification that collects distributed traces and metrics from instrumented services. By instrumenting once with OpenTelemetry, developers and operators can understand how data and events flow through their applications through a variety of different visualization backends.
In this workshop, you’ll learn how to instrument a distributed set of microservices for traceability using OpenTelemetry, and how to analyze your service’s traces using open source software backends like Jaeger/Zipkin. Finally, you’ll be able to leverage OpenTelemetry vendor-neutral flexibility to try out other tracing backends including the hosted SaaS products Stackdriver and Honeycomb, without recompiling. And you can go home feeling comfortable with implementing OpenTelemetry in your own applications, and being prepared to choose how you will store and visualize traces.
Other Workshops:
Tracks
Monday, 11 November
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Building & Scaling High-Performing Teams
To have a high-performing team, everybody on it has to feel and act like an owner. Organizational health and psychological safety are foundational underpinnings to support ownership.
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Bare Knuckle Performance
Killing latency and getting the most out of your hardware
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Ethics, Regulation, Risk, and Compliance
With so much uncertainty, how do you bulkhead your organization and technology choices? Learn strategies for dealing with uncertainty.
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Software Supply Chain
Life of a software artifact from commit to deployment. Security, observability and provenance of the software supply chain.
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Architectures You've Always Wondered About
Hard-earned lessons from names you know on scalability, reliability, throughput, and performance.
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Languages of Infrastructure
This track explores languages being used to code the infrastructure. Expect practices on toolkits and languages like Cloudformation, Terraform, Python, Go, Rust, Erlang.
Tuesday, 12 November
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Practices of DevOps & Lean Thinking
Practical approaches using DevOps and a lean approach to delivering software.
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Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.
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Socially Conscious Software
Power of leadership, Engineering Metrics and strategies for shaping the org for velocity.
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Modern Data Architectures
Today’s systems move huge volumes of data. Hear how places like LinkedIn, Facebook, Uber and more built their systems and learn from their mistakes.
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Microservices Patterns & Practices
What's the last mile for deploying your service? Learn techniques from the world's most innovative shops on managing and operating Microservices at scale.
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Pushing the Web Forward: JavaScript, Frameworks, Transpilers, and WebAssembly
JavaScript is the language of the web. Latest practices for JavaScript development in and how transpilers are affecting the way we work. We’ll also look at the work being done with WebAssembly.
Wednesday, 13 November
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Optimizing Yourself: Human Skills for Individuals
Better teams start with a better self. Learn practical skills for IC.
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Living on the Edge: The World of Edge Compute From Device to Infrastructure Edge
IOT/IIOT, Federated Learning, Application Gateways, Serverless, Kubernetes, WASM/WASI all at the edge? This track explores what’s being done at the modern edge.
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Trust, Safety & Security
Privacy, confidentiality, safety and security: learning from the frontlines.
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Machine Learning for Developers
AI/ML is more approachable than ever. Discover how deep learning and ML is being used in practice. Topics include: TensorFlow, TPUs, Keras, PyTorch & more. No PhD required.
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Production Readiness: Building Resilient Systems
Making systems resilient involves people and tech. Learn about strategies being used from chaos testing to distributed systems clustering.
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JVM and its Ecosystem
JVM futures, JIT directions and improvements to the runtimes stack is the theme of this year’s JVM track.