Details

<p>Foreword xiii</p> <p>Introduction xiv</p> <p>The Mastering Series xvi</p> <p><b>Chapter 1 What Is Observability? 1</b></p> <p>Definition 1</p> <p>Background 4</p> <p>Cloud Native Era 4</p> <p>Monitoring Compared to Observability 5</p> <p>Metadata 8</p> <p>Dimensionality 9</p> <p>Cardinality 9</p> <p>Semantic Conventions 10</p> <p>Data Sensitivity 10</p> <p>Signals 10</p> <p>Metrics 10</p> <p>Logs 13</p> <p>Traces 14</p> <p>Other Signals 20</p> <p>Collecting Signals 20</p> <p>Instrumentation 21</p> <p>Push Versus Pull Collection 22</p> <p>Data Collection 23</p> <p>Sampling Signals 26</p> <p>Observability 27</p> <p>Platforms 27</p> <p>Application Performance Monitoring 28</p> <p>The Bottom Line 28</p> <p>Notes 30</p> <p><b>Chapter 2 Introducing OpenTelemetry! 31</b></p> <p>Background 31</p> <p>Observability Pain Points 31</p> <p>The Rise of Open Source Software 34</p> <p>Introducing OpenTelemetry 35</p> <p>OpenTelemetry Components 37</p> <p>OpenTelemetry Concepts 48</p> <p>Roadmap 50</p> <p>The Bottom Line 50</p> <p>Notes 51</p> <p><b>Chapter 3 Getting Started with the Astronomy Shop 53</b></p> <p>Background 53</p> <p>Architecture 54</p> <p>Prerequisites 54</p> <p>Getting Started 55</p> <p>Accessing the Astronomy Shop 57</p> <p>Accessing Telemetry Data 57</p> <p>Beyond the Basics 58</p> <p>Configuring Load Generation 58</p> <p>Configuring Feature Flags 59</p> <p>Configuring Tests Built from Traces 60</p> <p>Configuring the OTel Collector 60</p> <p>Configuring OTel Instrumentation 62</p> <p>Troubleshooting Astronomy Shop 62</p> <p>Astronomy Shop Scenarios 63</p> <p>Troubleshooting Errors 63</p> <p>Troubleshooting Availability 69</p> <p>Troubleshooting Performance 70</p> <p>Troubleshooting Telemetry 74</p> <p>The Bottom Line 75</p> <p>Notes 76</p> <p><b>Chapter 4 Understanding the OpenTelemetry Specification 77</b></p> <p>Background 77</p> <p>API Specification 79</p> <p>API Definition 80</p> <p>API Context 80</p> <p>API Signals 81</p> <p>API Implementation 82</p> <p>SDK Specification 82</p> <p>SDK Definition 83</p> <p>SDK Signals 83</p> <p>SDK Implementation 84</p> <p>Data Specification 84</p> <p>Data Models 86</p> <p>Data Protocols 88</p> <p>Data Semantic Conventions 88</p> <p>Data Compatibility 89</p> <p>General Specification 90</p> <p>The Bottom Line 91</p> <p>Notes 92</p> <p><b>Chapter 5 Managing the OpenTelemetry Collector 93</b></p> <p>Background 94</p> <p>Deployment Modes 95</p> <p>Agent Mode 96</p> <p>Gateway Mode 98</p> <p>Reference Architectures 100</p> <p>The Basics 101</p> <p>The Binary 103</p> <p>Sizing 103</p> <p>Components 104</p> <p>Configuration 106</p> <p>Receivers and Exporters 115</p> <p>Processors 116</p> <p>Extensions 126</p> <p>Connectors 127</p> <p>Observing 128</p> <p>Relevant Metrics 128</p> <p>Health Check Extension 131</p> <p>zPages Extension 131</p> <p>Troubleshooting 134</p> <p>Out of Memory Crashes 134</p> <p>Data Not Being Received or Exported 134</p> <p>Performance Issues 135</p> <p>Beyond the Basics 135</p> <p>Distributions 135</p> <p>Securing 137</p> <p>Management 138</p> <p>The Bottom Line 140</p> <p>Notes 141</p> <p><b>Chapter 6 Leveraging OpenTelemetry Instrumentation 143</b></p> <p>Environment Setup 144</p> <p>Python Trace Instrumentation 149</p> <p>Automatic Instrumentation 150</p> <p>Manual Instrumentation 157</p> <p>Programmatic Instrumentation 163</p> <p>Mixing Automatic and Manual Trace Instrumentation 166</p> <p>Python Metrics Instrumentation 167</p> <p>Automatic Instrumentation 168</p> <p>Manual Instrumentation 169</p> <p>Programmatic Instrumentation 174</p> <p>Mixing Automatic and Manual Metric Instrumentation 176</p> <p>Python Log Instrumentation 178</p> <p>Manual Metadata Enrichment 179</p> <p>Trace Correlation 181</p> <p>Language Considerations 183</p> <p>NET 184</p> <p>Java 184</p> <p>Go 184</p> <p>Node js 185</p> <p>Deployment Models 185</p> <p>Distributions 185</p> <p>The Bottom Line 186</p> <p>Notes 187</p> <p><b>Chapter 7 Adopting OpenTelemetry 189</b></p> <p>The Basics 189</p> <p>Why OTel and Why Now? 190</p> <p>Where to Start? 191</p> <p>General Process 192</p> <p>Data Collection 193</p> <p>Instrumentation 195</p> <p>Production Readiness 196</p> <p>Maturity Framework 197</p> <p>Brownfield Deployment 198</p> <p>Data Collection 198</p> <p>Instrumentation 200</p> <p>Dashboards and Alerts 202</p> <p>Greenfield Deployment 204</p> <p>Data Collection 204</p> <p>Instrumentation 208</p> <p>Other Considerations 208</p> <p>Administration and Maintenance 208</p> <p>Environments 211</p> <p>Semantic Conventions 212</p> <p>The Future 213</p> <p>The Bottom Line 213</p> <p>Notes 214</p> <p><b>Chapter 8 The Power of Context and Correlation 215</b></p> <p>Background 215</p> <p>Context 217</p> <p>OTel Context 219</p> <p>Trace Context 221</p> <p>Resource Context 223</p> <p>Logic Context 224</p> <p>Correlation 225</p> <p>Time Correlation 225</p> <p>Context Correlation 226</p> <p>Trace Correlation 228</p> <p>Metric Correlation 230</p> <p>The Bottom Line 230</p> <p>Notes 231</p> <p><b>Chapter 9 Choosing an Observability Platform 233</b></p> <p>Primary Considerations 233</p> <p>Platform Capabilities 235</p> <p>Marketing Versus Reality 237</p> <p>Price, Cost, and Value 238</p> <p>Observability Fragmentation 241</p> <p>Primary Factors 242</p> <p>Build, Buy, or Manage 242</p> <p>Licensing, Operations, and Deployment 244</p> <p>OTel Compatibility and Vendor Lock-In 244</p> <p>Stakeholders and Company Culture 245</p> <p>Implementation Basics 246</p> <p>Administration 247</p> <p>Usage 248</p> <p>Maturity Framework 248</p> <p>The Bottom Line 250</p> <p>Notes 250</p> <p><b>Chapter 10 Observability Antipatterns and Pitfalls 251</b></p> <p>Telemetry Data Missteps 251</p> <p>Mixing Instrumentation Libraries Scenario 253</p> <p>Automatic Instrumentation Scenario 253</p> <p>Custom Instrumentation Scenario 254</p> <p>Component Configuration Scenario 255</p> <p>Performance Overhead Scenario 255</p> <p>Resource Allocation Scenario 256</p> <p>Security Considerations Scenario 256</p> <p>Monitoring and Maintenance Scenario 257</p> <p>Observability Platform Missteps 258</p> <p>Vendor Lock-in Scenario 260</p> <p>Fragmented Tooling Scenario 260</p> <p>Tool Fatigue Scenario 261</p> <p>Inadequate Scalability Scenario 261</p> <p>Data Overload Scenario 262</p> <p>Company Culture Implications 264</p> <p>Lack of Leadership Support Scenario 265</p> <p>Resistance to Change Scenario 266</p> <p>Collaboration and Alignment Scenario 266</p> <p>Goals and Success Criteria Scenario 267</p> <p>Standardization and Consistency Scenario 268</p> <p>Incentives and Recognition Scenario 268</p> <p>Feedback and Improvement Scenario 269</p> <p>Prioritization Framework 270</p> <p>The Bottom Line 272</p> <p>Notes 273</p> <p><b>Chapter 11 Observability at Scale 275</b></p> <p>Understanding the Challenges 275</p> <p>Volume and Velocity of Telemetry Data 276</p> <p>Distributed System Complexity 278</p> <p>Observability Platform Complexity 281</p> <p>Infrastructure and Resource Constraints 281</p> <p>Strategies for Scaling Observability 282</p> <p>Elasticity, Elasticity, Elasticity! 282</p> <p>Leverage Cloud Native Technologies 284</p> <p>Filter, Sample, and Aggregate 286</p> <p>Anomaly Detection and Predictive Analytics 290</p> <p>Emerging Technologies and Methodologies 291</p> <p>Best Practices for Managing Scale 292</p> <p>General Recommendations 292</p> <p>Instrumentation and Data Collection 293</p> <p>Observability Platform 293</p> <p>The Bottom Line 294</p> <p>Notes 295</p> <p><b>Chapter 12 The Future of Observability 297</b></p> <p>Challenges and Opportunities 297</p> <p>Cost 297</p> <p>Complexity 299</p> <p>Compliance 300</p> <p>Code 301</p> <p>Emerging Trends and Innovations 302</p> <p>Artificial Intelligence 303</p> <p>Observability as Code 304</p> <p>Service Mesh 305</p> <p>eBPF 306</p> <p>The Future of OpenTelemetry 307</p> <p>Stabilization and Expansion 308</p> <p>Expanded Signal Support 308</p> <p>Unified Query Language 310</p> <p>Community-driven Innovation 310</p> <p>The Bottom Line 311</p> <p>Notes 311</p> <p><b>Appendix A The Bottom Line 313</b></p> <p>Chapter 1: What Is Observability? 313</p> <p>Chapter 2: Introducing OpenTelemetry! 315</p> <p>Chapter 3: Getting Started with the Astronomy Shop 316</p> <p>Chapter 4: Understanding the OpenTelemetry Specification 317</p> <p>Chapter 5: Managing the OpenTelemetry Collector 318</p> <p>Chapter 6: Leveraging OpenTelemetry Instrumentation 320</p> <p>Chapter 7: Adopting OpenTelemetry 321</p> <p>Chapter 8: The Power of Context and Correlation 323</p> <p>Chapter 9: Choosing an Observability Platform 324</p> <p>Chapter 10: Observability Antipatterns and Pitfalls 326</p> <p>Chapter 11: Observability at Scale 327</p> <p>Chapter 12: The Future of Observability 328</p> <p><b>Appendix B Introduction 329</b></p> <p>Chapter 2: Introducing OpenTelemetry! 330</p> <p>OpenTelemetry Concepts > Roadmap 330</p> <p>Chapter 3: Getting Started with the Astronomy Shop 330</p> <p>Background > Architecture 330</p> <p>Chapter 5: Managing the OpenTelemetry Collector 332</p> <p>Background 332</p> <p>The Basics > Components 332</p> <p>Chapter 12: The Future of Observability 340</p> <p>Challenges and Opportunities > Code 340</p> <p>Notes 341</p> <p>Index 343</p>

<p><B>STEVE FLANDERS</B> is a Senior Director of Engineering at Splunk, a Cisco company. Steve is one of the founding members of the OpenTelemetry project.

<p><b>Discover how to deploy OpenTelemetry™ to eliminate vendor lock-in and regain control of your telemetry data</b> <p>In <i>Mastering OpenTelemetry™ and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages</i>, veteran software engineering leader Steve Flanders delivers a comprehensive guide to OpenTelemetry (OTel) and achieving observability. You’ll learn about how OTel revolutionizes observability, providing a suite of APIs, SDKs, and tools to capture and analyze telemetry data across your infrastructure. In addition, you will understand how to leverage OTel to better achieve observability. <p>Find out how to navigate the complexities of observability with ease. Discover how to deploy and configure OTel, even in challenging brownfield environments. With insights from a seasoned industry expert, gain a deep understanding of observability’s rise and its impact on the modern software landscape. Explore real-world use cases, deployment models, and hands-on exercises. Unlock the full potential of this technology with practical guidance on configuration and optimization. Plus, contribute to the OTel community and shape the future of observability. <p>Whether you’re new to observability or a seasoned professional, <i>Mastering OpenTelemetry™ and Observability </i>equips you with the knowledge and tools to predict and prevent downtime, outages, and failures in your enterprise infrastructure. Start your journey to observability mastery today with this can’t-miss handbook for cloud architects, software developers, site reliability engineers, and DevOps and AIOps professionals.

US