LEADER 04086nam 22006855 450 001 9910637733503321 005 20251008163534.0 010 $a9781484290422 010 $a1484290429 024 7 $a10.1007/978-1-4842-9042-2 035 $a(CKB)5580000000496879 035 $a(OCoLC)1356796617 035 $a(OCoLC-P)1356796617 035 $a(DE-He213)978-1-4842-9042-2 035 $a(CaSebORM)9781484290422 035 $a(MiAaPQ)EBC30683636 035 $a(Au-PeEL)EBL30683636 035 $a(PPN)267812477 035 $a(Perlego)4515871 035 $a(EXLCZ)995580000000496879 100 $a20230102d2023 u| 0 101 0 $aeng 135 $aur|n||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical Debugging at Scale $eCloud Native Debugging in Kubernetes and Production /$fby Shai Almog 205 $a1st ed. 2023. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2023. 215 $a1 online resource 300 $aIncludes index. 311 08$a9781484290415 311 08$a1484290410 327 $aIntroduction -- Part I. Basics -- 1. Know Your Debugger -- 2. The Checklist -- 3. The Auxiliary Tools -- 4. Logging, Testing, and Fail Fast -- 5. Time Travel Debugging -- Part II. The Modern Production Environment -- 6. Debugging Kubernetes -- 7. Serverless Debugging -- 8. Fullstack Debugging -- 9. Observability and Monitoring -- 10. Developer Observability -- -- Part III. In Practice -- 11. Tools of Learning -- 12. Performance and Memory -- 13. Security -- 14. Bug Strategies -- Appendix A: References. 330 $aOverhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment. Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. You?ll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments. You Will Learn: The scientific method underlying the process of debugging Debugger capabilities such as tracepoints and marker objects The correct use of less understood features such as exception breakpoints Techniques for tracing issues in production Kubernetes environments Observability and monitoring to resolve production problems Industry best practices for common tooling such as logging Profiling to understand performance and memory problems . 606 $aJava (Computer program language) 606 $aCloud computing 606 $aComputer programming 606 $aComputer programs$xTesting 606 $aJava 606 $aCloud Computing 606 $aProgramming Techniques 606 $aSoftware Testing 615 0$aJava (Computer program language) 615 0$aCloud computing. 615 0$aComputer programming. 615 0$aComputer programs$xTesting. 615 14$aJava. 615 24$aCloud Computing. 615 24$aProgramming Techniques. 615 24$aSoftware Testing. 676 $a005.3 700 $aAlmog$b Shai$01346604 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910637733503321 996 $aPRACTICAL DEBUGGING AT SCALE$93076799 997 $aUNINA