2022-03-31 Let's talk Micrometer, Sleuth, and Tanzu Observability

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1. Jonatan Ivanov Marcin Grzejszczak Tommy Ludwig 2022-03-31 Let's talk Micrometer, Sleuth, and Tanzu Observability Copyright © 2022 VMware, Inc. or its affiliates.
2. About Us Tommy Ludwig @TommyLudwig Spring Team @ VMware Micrometer “Spring Observability” Marcin Grzejszczak @mgrzejszczak Spring Team @ VMware Micrometer, Spring Cloud Sleuth “Spring Observability” Spring Cloud Contract Jonatan Ivanov @jonatan_ivanov Spring Team @ VMware Micrometer, Spring Cloud Sleuth “Spring Observability”
3. Disclaimer This presentation may contain product features or functionality that are currently under development. This overview of new technology represents no commitment from VMware to deliver these features in any generally available product. Features are subject to change, and must not be included in contracts, purchase orders, or sales agreements of any kind. Technical feasibility and market demand will affect final delivery. Pricing and packaging for any new features/functionality/technology discussed or presented, have not been determined. The information in this presentation is for informational purposes only and may not be incorporated into any contract. There is no commitment or obligation to deliver any items presented herein.
4. Cover w/ Image Agenda - Introduction to - Observability - Metrics (Micrometer) - Distributed Tracing (SC Sleuth) - Tanzu Observability - What’s new in Micrometer? - What’s new in Spring Cloud Sleuth? - Observation API - Q&A
5. Intros Observability, Metrics, Distributed Tracing
6. What is Observability? How well we can understand the internals of a system based on its outputs
7. What is Observability? Being able to ask arbitrary questions without knowing ahead what you want to ask Turning data points and context into insights Being able to quickly troubleshoot problems with no prior knowledge (unknown unknowns)
8. Why do we need Observability? Today's systems are insanely complex (cloud) (Death Star Architecture, Big Ball of Mud) We need to face unknown unknowns We might not know where our apps are We might not know how many instances we have We can’t modify/debug/etc. it Something is always broken (Fallacies of Distributed Computing) Like sending rovers to Mars: You can’t touch/modify them after launch
9. Logging - Metrics - Distributed Tracing Metrics What is the context? Measure-and-Combine data Aggregatable Can identify trends Not traffic-sensitive (usually) Distributed Tracing Why happened? Recording events With causal ordering Can identify cause across services Context Propagation (traceId, spanId) Logging What happened? Emitting events Easy to read (grep) INFO/WARN/ERROR/… Stacktraces
10. Example: Latency Metrics “99.999% of the requests were faster than 140ms.” “The max was 150ms.” So it’s quite bad. But why was this slow? Logging “Processing a request took 140ms.” Is it bad? Is it good? What is the context? Distributed Tracing “Service A called Service B.” “Service B called the DB.” “The services were ok.” “The network was ok.” “The DB was slow.” “Because somebody requested a lot of data.”
11. Example: Error Metrics “The error rate is 0.001/sec.” “We had 2 errors recently.” So it’s not that bad. But why did this happen? Logging “Request processing failed.” “Here’s the stacktrace.” Is it bad? (Well, it failed.) How bad? How many of them failed? What is the context? Distributed Tracing “Service A called Service B.” “Service B called the DB.” “The services were ok.” “The network was ok.” “The DB call failed.” “Because of invalid input.”
12. SLF4J with Logback comes pre-configured but you can replace Logback SLF4J - Simple Logging Façade for Java - Simple API for various logging frameworks - Allows to plug in the desired logging framework Logback - Modern logging framework - Natively implements the SLF4J API If you want Log4j2 instead of Logback: - spring-boot-starter-logging + spring-boot-starter-log4j2 Logging with Spring: SLF4J + Logback
13. Metrics with Spring: Micrometer Popular Metrics library on the JVM Like SLF4J, but for metrics Simple API Supports the most popular metric backends Comes with spring-boot-actuator Spring projects are instrumented using Micrometer A lot of third-party libraries use Micrometer
14. Micrometer - Like SLF4J, but for metrics Ganglia Graphite Humio InfluxDB JMX KairosDB New Relic OpenTSDB Prometheus SignalFx Stackdriver (GCP) StatsD Wavefront* (VMware) (/actuator/metrics) AppOptics Atlas Azure Monitor CloudWatch (AWS) Datadog Dynatrace Elastic *VMware Tanzu Observability by Wavefront
15. Distributed Tracing with Spring: Spring Cloud Sleuth Distributed Tracing Support for Spring Provides an abstraction layer on top of tracing libraries (3.x) - Brave (OpenZipkin), default - OpenTelemetry (CNCF), experimental Log Correlation + Context Propagation Instrumentation for Spring Projects (and your application) Instrumentation for third-party libraries (through Brave and OTel) Supports various backends (through Brave and OTel)
16. Tanzu Observability
17. start.spring.io
18. Generate a project Spring Initializr link Dependencies: • Web • Actuator • Wavefront (Tanzu Observability) • Sleuth Add a controller endpoint using RestTemplate to call another service. Application properties: spring.application.name =webinar-demo Start the application, send some requests to the endpoint. http :8080/hi
19. Demo In the startup logs, there will be a link to Wavefront: “Connect to your Wavefront dashboard using this one-time use link:” Logs format is updated by Sleuth to include context (service name, trace/span id) In Tanzu Observability, you can see: • Spring Boot dashboard based on Micrometer metrics • Tracing from Sleuth
20. What’s new in Micrometer?
21. Micrometer 1.9 - exemplars Exemplars - provide high-cardinality examples for aggregate metric data. (Only supported with Prometheus and OpenMetrics scrape format) Most common use case is correlating metrics and tracing For a metric summarizing many recordings, provide an exemplar trace Speeds up the process of finding a representative trace for an event of interest
22. Exemplars example Timer with histogram sample scrape snippet: http :8080/actuator/prometheus 'Accept: application/openmetrics-text; version=1.0.0' http_server_requests_seconds_bucket{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/api/people",le="0.20132659"} 0.0 http_server_requests_seconds_bucket{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/api/people",le="0.223696211"} 3.0 # {span_id="c1862c07a28f4920",trace_id="c1862c07a28f4920"} 0.208048291 1648532263.194 http_server_requests_seconds_bucket{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/api/people",le="0.24606583 2"} 3.0 http_server_requests_seconds_bucket{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/api/people",le="0.26843545 6"} 3.0 http_server_requests_seconds_bucket{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/api/people",le="0.357913941"} 4.0 # {span_id="fbdacc0ec219805b",trace_id="fbdacc0ec219805b"} 0.284813042 1648532262.316 http_server_requests_seconds_bucket{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/api/people",le="0.44739242 6"} 4.0
23. Exemplars visualization Sample visualization of the 95th percentile based on histogram metric data with exemplar tracing data (dots) https://grafana.com/docs/grafana/latest/basics/exemplars/
24. What’s new in Sleuth?
25. What’s new in Sleuth 3.1.0 JDBC #1930 Tomcat Valve #1329 Spring Vault #1952 Automatic tag table generation for documentation #1950 Spring Cloud Deployer #1947 R2DBC #1524 Kafka #2013 and Reactor Kafka #1708 Spring TX #1941
26. What’s new in Sleuth 3.1.0 Spring Batch #1904 RSocket #1677 Spring Cloud Task #1903 Spring Cloud Config #1915 Spring Cloud CircuitBreaker Reactive #1910 Cassandra #1974 Spring Session #1961 Spring Security #2011
27. What’s new in Sleuth 3.1.0 Prometheus Exemplars #2039 Spring Cloud Stream Reactive #2038 Reactive Mongo #2044 Abstracted Redis instrumentation #2046 Custom Actuator for storing traces #1879
28. JDBC (with p6spy or datasource-proxy)
29. Tomcat Valve
30. Spring Vault
31. R2DBC
32. Kafka and Reactor Kafka
33. Spring TX
34. Spring Batch
35. RSocket
36. Spring Cloud Config
37. Spring Session
38. Spring Security
39. Observation API
41. Registry
42. Context
44. Observation
48. TagsProvider
50. Observe concrete code
51. ObservationRegistry ObservationHandler Tracing Metrics ???
52. Instrument Once Benefit Multiple Times
53. Questions/Feedback? Contact us on Twitter @jonatan_ivanov - develotters.com @TommyLudwig - github.com/shakuzen @mgrzejszczak - toomuchcoding.com © 2022 Spring. A VMware-backed project.