Distributed Tracing and Monitoring With OpenCensus

A talk at NDC London 2019

Transcript

1. Distributed Tracing and Monitoring with OpenCensus Simon Zeltser @simon_zeltser
2. Software Evolution @simon_zeltser On Prem Cloud Virtual Machines Containers Monolith Microservices Single Language / Stack Polyglot Single Cloud Multiple Cloud Providers / Hybrid Containers Cloud Functions / Serverless
3. New architectures => new challenges Debugging Observability Standardizing development practices Deployment / Packaging Configuration Management Secrets management @simon_zeltser
4. Who Am I Software Engineer at Cloud Developer Experience - Infrastructure and Operations Tools Over a decade in distributed systems observability github.com/simonz130 @simon_zeltser
5. What is Observability? Being able to debug the system and gain insights into the system’s behavior @simon_zeltser
6. Observability > Monitoring @simon_zeltser Venn diagram by Cindy Sridharan
7. @simon_zeltser
8. Signals Holistic Approach: - Distributed Tracing - Metrics Collection - Continuous system profiling - Capturing Logs @simon_zeltser
9. Ultimate Recipe for reliable cloud service Track System Health Capture traces, metrics and logs, create alerts on data Detect Problems Locality, networking, scheduling, dependencies Fix & Refine Optimize performance and cost of services Observability Lifecycle @simon_zeltser
10. Observability in Distributed Systems Hard and Expensive: • Context propagation between components • Multiple environments • External dependencies • Vendor Lock-in • Cost @simon_zeltser Architecture from Hipstershop Demo App
11. Meet OpenCensus! @simon_zeltser OpenCensus is a single distribution of libraries that collect metrics and distributed traces from your services Problems OpenCensus solves: - Vendor neutrality for tracing and monitoring APIs - Context propagation
12. OpenCensus is: • Single set of APIs for tracing and metrics collection • Integrations with popular web, RPC and storage frameworks • Standardized Context Propagation • Exporters for sending data to backend of choice • Collector for smart traces & metrics aggregation @simon_zeltser
13. Who is behind OpenCensus? @simon_zeltser Core Contributors Exporters
14. OpenCensus Nuget Packages Package Name Description OpenCensus.Abstractions .NET Core API Abstractions OpenCensus .NET Core API Implementation OpenCensus.Collector.Dependencies Collector for .NET Core HttpClient OpenCensus.Collector.AspNetCore Collector for ASP.NET Core Full list @simon_zeltser
15. Tracing with OpenCensus - the options Agentless Using Agent Exporter Trace Backend Container/VM Application Agent Trace Backend Container/VM HTTP IN HTTP IN Traces Application Initialize exporter in app code Install the agent alongside the app @simon_zeltser
16. Tracing with OpenCensus - Terminology @simon_zeltser Trace - a collection of spans Span - a single operation in a trace Sampler - decide whether to export a span Exporter - sending traces to observability systems
17. Configure Exporter // 1. Configure exporter to export traces to Zipkin var exporter = new ZipkinTraceExporter( new ZipkinTraceExporterOptions() { Endpoint = new Uri(zipkinUri), ServiceName = "tracing-to-zipkin-service", }, Tracing.ExportComponent); exporter.Start(); @simon_zeltser
18. Configure Sampler // 2. 100% sample rate, otherwise, few traces will be sampled. ITraceConfig traceConfig = Tracing.TraceConfig; ITraceParams currentConfig = traceConfig.ActiveTraceParams; var newConfig = currentConfig.ToBuilder() .SetSampler(Samplers.AlwaysSample) .Build(); traceConfig.UpdateActiveTraceParams(newConfig); @simon_zeltser
19. Using the Tracer // 3. Tracer is global singleton. // You can register it via dependency injection if it exists // but if not - you can use it as follows: var tracer = Tracing.Tracer; @simon_zeltser
20. Create a Span // 4. Create a scoped span - only covers “using” block using (var scope = tracer.SpanBuilder("Main").StartScopedSpan()) { Console.WriteLine("About to do a busy work"); for (int i = 0; i < 10; i++) { DoWork(i); } } @simon_zeltser
21. Demo Getting Started - Tracing with OpenCensus in C# @simon_zeltser
22. Trace Context Propagation Frontend AdService Checkout Payment Service EmailService {context} {context} {context} {context} Common scenarios • A/B testing TraceId=>{context} Frontend AdService Checkout Payment Email time Trace Span
23. Trace Context Propagation in OpenCensus W3C Standard for Context Propagation FORMAT: trace-id "-" parent-id "-" trace-flags trace-id = 32HEXDIG ; 16 bytes array identifier. All zeroes forbidden parent-id = 16HEXDIG ; 8 bytes array identifier. All zeroes forbidden trace-flags = 2HEXDIG ; 8 bit flags. Currently only one bit is used (“recorded”) Supported in all OpenCensus client libraries @simon_zeltser
24. Metrics with OpenCensus
25. Instrumentation with metrics View Measurement Tag Measure Aggregation View Data @simon_zeltser
26. Demo Getting Started - Metrics collection with OpenCensus in C# @simon_zeltser
27. Advanced Topics @simon_zeltser
28. OpenCensus Service WHAT? • Agent & Collector for metrics and traces WHY? • Smart Sampling • Export to one or more monitoring/tracing backends OC Service Repo .NET Core OC Agent Repo OpenCensus Tracing Library OpenCensus Monitoring Library Jaeger Zipkin Stackdriver Prometheus AppInsights OpenCensus Agent OpenCensus Collector OpenCensus Service BE Destinations @simon_zeltser
29. Traces & Sampling Problem: Traced apps can generate many traces with many spans • Higher operational costs • Noise @simon_zeltser Solution: Smart Sampling • Head-based (sampled at the beginning of the trace) • Tail-based (sampled at the end of the trace)
30. DEMO- Tail-based sampling @simon_zeltser
31. Architecture @simon_zeltser Synthetic Load Generator simulates traffic to Hipster Shop Demo App Checkout Synthetic Load Generator OpenCensus Service (Collector) Jaeger 1 Jaeger 2 Cassandra Cassandra Hipster Shop App Browse Jaeger 1 - head based sampling Jaeger 2 - tail based sampling Demo repo
32. zPages /Tracez Examine and bucketize spans by latency buckets (0us, 10us, 100us, 1ms, 10ms, 100ms, 1s, 10s, 1m] They also allow you to quickly examine error samples /Rpcz Examine statistics of remote procedure calls (RPCs) that are are instrumented with OpenCensus. For example when using gRPC @simon_zeltser
33. Exporters - what is currently supported? @simon_zeltser T - Trace S - Stats (Metrics)
34. Integrations OpenCensus is integrated with a wide variety of frameworks, products and libraries. It provides observability for the following: • Redis • Memcached • Google Cloud • Dropwizard • SQL • Caddy • Go kit • GroupCache • MongoDB @simon_zeltser
35. Community OpenCensus Website https://opencensus.io Gitter Channel https://gitter.im/census-instrumentation/Lobby .NET Github https://github.com/census-instrumentation/opencensus-csharp Ecosystem Github https://github.com/census-instrumentation Twitter https://twitter.com/opencensusio @simon_zeltser
36. Opencensus roadmap IMPROVE EASE OF USE • Embedded in most popular frameworks and platforms • Easy to get started ENHANCE FEATURE SET • Correlation between metrics, traces metadata and logs • Clients Support BUILD STRONG COMMUNITY • CNCF • OpenCensus with OpenTracing @simon_zeltser WORKSTREAMS • OC Agent and Service • Integrations • New Telemetry • Community
37. Thank you! @simon_zeltser CONTACT ME: zeltser@google.com