Troubleshooting microservices Page
Troubleshooting Microservices
Return to Microservices, Troubleshooting Programming Languages, Debugging Microservices, Microservices Programming Mistakes and Code Smells, Troubleshooting Java Microservices (Troubleshooting Spring Microservices, Troubleshooting Quarkus Microservices, Troubleshooting Micronaut Microservices, Troubleshooting Vert.x Microservices, Troubleshooting Helidon Microservices, Jakarta EE Microservices, Dropwizard Microservices), Troubleshooting JavaScript Microservices (Troubleshooting Express.js Microservices, Troubleshooting Node.js Microservices, Troubleshooting Deno Microservices), Troubleshooting Python Microservices (Troubleshooting Django Microservices, Troubleshooting Flask Microservices), Troubleshooting Kotlin Microservices, Troubleshooting Scala Microservices (Troubleshooting Akka Microservices, Troubleshooting Play Framework Microservices), Troubleshooting C Sharp Microservices (Troubleshooting Microsoft dot NET Core Microservices, Troubleshooting Dapr Microservices), Troubleshooting Golang Microservices (Troubleshooting Go Kit Microservices), Troubleshooting Ruby Microservices (Troubleshooting Ruby on Rails Microservices), Troubleshooting Rust Microservices, Troubleshooting Swift Microservices, Troubleshooting Clojure Microservices, Troubleshooting Haskell Microservices
See also:
* Troubleshooting Java - Read, debug, and optimize JVM applications by Laurențiu Spilcă
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Debugging Microservices
Summarize in 30 paragraphs with URL links to sources including 1. GitHub repo, 2. Documentation, 3. Official web site, 4. Wikipedia. Be sure to include 8 code examples. List the 5 most popular debugging / troubleshooting libraries. Be sure to list the competition or alternatives. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword or jargon or technical words. Answer in MediaWiki syntax.
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Write a 40 paragraph article on Troubleshooting and Debugging Microservices briefly covering these topics
Part 1. The basics of investigating a codebase
1 Revealing an app’s obscurities
* unexpected output
* Clarifying slowness
* Understanding app crashes
2 Understanding your app’s logic through debugging techniques
* Investigating code with a debugger
* stack trace
* conditional breakpoints
* Debugging apps remotely
* exception stack traces to identify what calls a method
* Measuring time spent to execute a given instruction
* Investigating issues in multithreaded architectures
* logging
* Persisting logs
* logging
* logging levels and using logging frameworks
* Problems caused by logging and how to avoid them
Part 2. Deep analysis of an app’s execution
* Identifying resource consumption problems using profiling techniques
* abnormal usage of resources
* Identifying slowness in an app’s execution
* Using a profiler
* Observing the CPU and memory usage
* Identifying memory leaks
* Detecting problems with database connections
* Understanding the app’s code design using call graphs
* Investigating locks in multithreaded architectures
* Monitoring threads for locks
* Analyzing thread locks
* Analyzing waiting threads
* Investigating deadlocks with thread dumps
* Finding memory-related issues in an app’s execution
* Using heap dumps to find memory leaks
Part 3. Finding problems in large systems
* Investigating communication between services
* Using HTTP server probes to observe HTTP requests
* HTTP client probes to observe HTTP requests the app sends
* low-level events on sockets
* integrated log monitoring
* deployment tools in investigations
* fault injection to mimic hard-to-replicate issues
* mirroring to facilitate testing and error detection
List the 5 most popular debugging / troubleshooting libraries. Be sure to list the competition or alternatives. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword or jargon or technical words. Answer in MediaWiki syntax.
This comprehensive guide provides an insightful exploration into troubleshooting and debugging microservices, covering essential topics that range from basic investigation techniques to advanced analysis and problem-solving strategies within large systems. The article also highlights the five most popular debugging/troubleshooting libraries, offering a glimpse into the competitive landscape of development tools.
Part 1: The Basics of Investigating a Codebase
=1. Revealing an App’s Obscurities
=
Understanding and resolving issues within an application require a detailed investigation into unexpected outputs, performance bottlenecks, and crashes. Techniques such as examining log files, implementing debugging tools, and analyzing performance metrics are pivotal in clarifying the root causes of these obscurities.
Unexpected Output
Unexpected output demands a thorough examination of the codebase to identify discrepancies between expected and actual behavior. Utilizing debuggers and log statements can illuminate the underlying issues causing these outputs.
Clarifying Slowness
Application slowness often stems from inefficient code paths or resource bottlenecks. Tools like profilers and performance monitors are instrumental in pinpointing the slow-executing sections of code and the resources under strain.
Understanding App Crashes
Crashes are critical issues that necessitate immediate attention. Analyzing crash dumps and exception stack traces provides insights into the faulting processes and the conditions leading up to the crash.
=2. Understanding Your App’s Logic Through Debugging Techniques
=
Mastering debugging techniques is essential for navigating and understanding an application's logic, leading to more efficient problem resolution.
Investigating Code with a Debugger
Using a debugger allows developers to step through code execution, inspect variables, and understand the flow of the application. This is fundamental in identifying logical errors and understanding application behavior.
Stack Trace
A stack trace reveals the sequence of function calls leading to a particular point in the application. It's invaluable for tracing the path of execution, especially when dealing with exceptions.
Conditional Breakpoints
Conditional breakpoints halt execution under specific conditions, making it easier to isolate issues without stepping through irrelevant parts of the code.
Debugging Apps Remotely
Remote debugging is crucial for applications running in environments different from the development setup, allowing developers to diagnose issues in a production-like scenario.
Exception Stack Traces
Analyzing exception stack traces helps identify what calls a method and the exception path, offering clues to the root cause of errors.
Measuring Time Spent to Execute a Given Instruction
Timing code execution is vital in pinpointing performance bottlenecks, achieved through profiling tools or manual timing functions.
Investigating Issues in Multithreaded Architectures
Multithreading introduces complexity, requiring tools like thread analyzers and lock monitors to investigate issues like deadlocks and race conditions.
Logging
Implementing logging at strategic points within the application can provide real-time insights into its behavior and issues.
Persisting Logs
Log persistence ensures that valuable debugging information is retained for analysis, using file storage or logging services.
Logging Levels and Using Logging Frameworks
Utilizing logging levels and frameworks helps in managing the verbosity of log output, focusing on the information most relevant to the issue at hand.
Problems Caused by Logging and How to Avoid Them
While beneficial, excessive logging can cause performance degradation and storage issues. Strategies to mitigate these problems include log rotation, level-based logging, and conditional logging.
Part 2: Deep Analysis of an App’s Execution
Deep analysis involves utilizing advanced tools and techniques to dissect an application's execution, focusing on resource consumption, performance, and underlying code design.
=Identifying Resource Consumption Problems Using Profiling Techniques
=
Profiling tools are essential for identifying abnormal resource usage patterns, including CPU, memory, and I/O, pinpointing the areas of code responsible for excessive consumption.
=Identifying Slowness in an App’s Execution
=
Profiling and monitoring tools help in identifying slow-executing code sections, revealing inefficiencies and potential optimizations.
=Using a Profiler
=
A profiler provides detailed insights into the application's performance, highlighting hotspots in CPU usage and memory consumption.
=Observing the CPU and Memory Usage
=
Monitoring CPU and memory usage is critical in understanding the resource demands of the application, identifying bottlenecks, and potential leaks.
=Identifying Memory Leaks
=
Memory leaks occur when applications fail to release unused memory, leading to exhaustion of resources. Tools like heap analyzers help in detecting these leaks.
=Detecting Problems with Database Connections
=
Monitoring database connections for performance issues and leaks is crucial in maintaining application responsiveness and stability.
=Understanding the App’s Code Design Using Call Graphs
=
Call graphs visualize the relationships and interactions between various parts of the application, aiding in understanding the overall code design and identifying potential flaws.
=Investigating Locks in Multithreaded Architectures
=
Locks are necessary
for thread synchronization in multithreaded applications, but improper use can lead to deadlocks and performance issues. Analyzing lock usage is key in troubleshooting these problems.
=Monitoring Threads for Locks
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Tools that monitor thread activity and lock acquisition help in identifying deadlock conditions and thread contention issues.
=Analyzing Thread Locks
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Detailed analysis of thread locks involves understanding lock hierarchies, ownership, and contention points, which can be achieved through thread dump analysis and specialized tools.
=Analyzing Waiting Threads
=
Investigating threads that are waiting or blocked on locks or conditions can reveal inefficiencies and potential deadlocks in the application.
=Investigating Deadlocks with Thread Dumps
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Thread dumps provide a snapshot of all thread states within an application, crucial for diagnosing deadlocks and other concurrency issues.
=Finding Memory-Related Issues in an App’s Execution
=
Memory-related issues, such as leaks and inefficient usage, can be identified through heap dumps and memory profilers, pinpointing the exact objects and references causing problems.
=Using Heap Dumps to Find Memory Leaks
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Heap dumps are snapshots of an application's memory, essential for analyzing memory allocation, detecting leaks, and understanding object lifecycles.
Part 3: Finding Problems in Large Systems
Troubleshooting large systems involves understanding the intricacies of service interactions, resource utilization, and complex architectures.
=Investigating Communication Between Services
=
Tools that monitor and log inter-service communication, such as HTTP probes and socket monitors, are vital in diagnosing issues in microservices architectures.
=Using HTTP Server Probes
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HTTP server probes capture incoming requests to a service, providing insights into the nature and performance of inter-service communication.
=HTTP Client Probes
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HTTP client probes monitor outgoing requests from a service, helping in understanding dependencies and potential bottlenecks in external service calls.
=Low-Level Events on Sockets
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Monitoring low-level socket events can reveal issues in network communication, such as latency, packet loss, and connection timeouts.
=Integrated Log Monitoring
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Combining logs from multiple services into a unified monitoring solution enables a holistic view of system behavior and facilitates easier troubleshooting.
=Deployment Tools in Investigations
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Deployment and orchestration tools play a crucial role in managing service deployments, scaling, and diagnostics, providing valuable insights during troubleshooting.
=Fault Injection
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Fault injection techniques simulate errors and failures in a controlled environment, helping in identifying potential weaknesses and improving system resilience.
=Mirroring
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Mirroring traffic to a parallel environment allows for real-time testing and error detection without impacting the production system, invaluable for debugging and performance tuning.
Five Most Popular Debugging/Troubleshooting Libraries
1. **Log4j** - A robust logging framework for Java, known for its flexibility in logging across various levels and destinations.
2. **Sentry** - Offers real-time error tracking that provides insight into production deployments and the health of applications across languages.
3. **Datadog** - A monitoring and analytics platform that provides full visibility into the performance of applications, including logging, tracing, and alerting capabilities.
4. **New Relic** - Delivers full-stack observability with real-time analytics to troubleshoot and optimize applications.
5. **Prometheus** - An open-source system monitoring and alerting toolkit, widely used for its powerful querying language and integration with Grafana for visualizing metrics.
Each of these libraries and tools offers unique features and capabilities, making them popular choices among developers for debugging and troubleshooting applications. Alternatives and competitors exist for each, providing a rich ecosystem of tools tailored to various debugging and monitoring needs.
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Research More
Research:
* oreilly>Troubleshooting Microservices on O'Reilly
* github>Troubleshooting Microservices on Github
* ddg>Troubleshooting Microservices on DuckDuckGo
* stackoverflow>Troubleshooting Microservices on StackOverflow
* amz>Troubleshooting Microservices on Amazon.com
* youtube>Troubleshooting Microservices on YouTube
* reddit>Troubleshooting Microservices on Reddit
* dzone>Troubleshooting Microservices on Dzone
* hackernoon>Troubleshooting Microservices on Hacker Noon
Courses
* pluralsight>Troubleshooting Microservices on Pluralsight.com
* udemy>Troubleshooting Microservices on Udemy
* linkedinlearning>Troubleshooting Microservices on LinkedIn Learning
Fair Use Source
Fair Use Sources:
* ddg>Troubleshooting Microservices on DuckDuckGo
* google>Troubleshooting Microservices on Google
* scholar>Troubleshooting Microservices on scholar.google.com
* archive>Troubleshooting Microservices for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
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