Automatic Analysis Reports in OpenResty XRay
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OpenResty XRay reduce your CPU usage up to
90%
OpenResty XRay reduce your CPU usage up to 90%
Latest Articles
One String Value Crashed Asia's Biggest Streaming Site β We Found It with OpenResty XRay
- The Platform Behind Hundreds of Millions of Streams
- When Rebooting Doesn’t Help
- Finding the Root Cause Without Touching a Single Line of Code
- One Type Mismatch, Entire System Down
- The Platform Behind Hundreds of Millions of Streams
- When Rebooting Doesn’t Help
- Finding the Root Cause Without Touching a Single Line of Code
- One Type Mismatch, Entire System Down
Tracing the Slowest PCRE Regular Expressions in OpenResty or Nginx Processes
- System Environment
- Narrowing Down the Culprit without Guessing
- Limiting the execution overhead of PCRE
- Non-Backtracking Regular Expression Engines
- Lua’s Builtin Patterns
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
- System Environment
- Narrowing Down the Culprit without Guessing
- Limiting the execution overhead of PCRE
- Non-Backtracking Regular Expression Engines
- Lua’s Builtin Patterns
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
Listing Loaded Lua Modules in OpenResty or Nginx Processes
- System Environment
- Names of Loaded Lua Modules
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
- System Environment
- Names of Loaded Lua Modules
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
Analyzing the Most CPU-Consuming Requests in OpenResty or Nginx
- System Environment
- CPU-Hottest Request Hostnames
- CPU-Hottest Request URIs
- Digging Deeper
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
- System Environment
- CPU-Hottest Request Hostnames
- CPU-Hottest Request URIs
- Digging Deeper
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 4 of 4)
- Transparent Container Tracing
- Efficient Stack Unwinding
- Analyzing Dead Processes (Core Dumps)
- Very Low Tracing Overhead
- Standard Ylang Libraries & Tools
- Network Filtering & Control
- The Ylang Compiler’s Implementation
- Operating System Support
- Contributions to Open-Source Communities
- Transparent Container Tracing
- Efficient Stack Unwinding
- Analyzing Dead Processes (Core Dumps)
- Very Low Tracing Overhead
- Standard Ylang Libraries & Tools
- Network Filtering & Control
- The Ylang Compiler’s Implementation
- Operating System Support
- Contributions to Open-Source Communities
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 3 of 4)
- The Language Syntax (Continued)
- String Literals
- Built-in Regex Support
- Full Control-Flow Support
- Floating-Point Number Support
- Compared to Open-Source Toolchains
- Transparent Debug Symbol Handling
- Debug Symbols: No Runtime Overhead
- Centralized Package Database
- Fuzzy Matching Debug Symbols
- The Language Syntax (Continued)
- String Literals
- Built-in Regex Support
- Full Control-Flow Support
- Floating-Point Number Support
- Compared to Open-Source Toolchains
- Transparent Debug Symbol Handling
- Debug Symbols: No Runtime Overhead
- Centralized Package Database
- Fuzzy Matching Debug Symbols
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 2 of 4)
- The Language Syntax (Continued)
- Macros with Extensions
- Tracer and Tracee Spaces
- Probes
- Extended Variable Types
- The Language Syntax (Continued)
- Macros with Extensions
- Tracer and Tracee Spaces
- Probes
- Extended Variable Types
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 1 of 4)
- What is Dynamic Tracing
- Why the “Y” Name
- Getting Started
- Various Backends and Runtimes
- Why a Unified Frontend Language
- The Language Syntax
- What is Dynamic Tracing
- Why the “Y” Name
- Getting Started
- Various Backends and Runtimes
- Why a Unified Frontend Language
- The Language Syntax
Memory Reduced by 60%, OpenResty XRay Precisely Locates Problem Code, Quickly Completes Fixes and Deployment
- High Memory Usage by Worker Processes
- Analysis Process
- Questions about Worker Process Memory Not Being Released
- High Memory Usage by Worker Processes
- Analysis Process
- Questions about Worker Process Memory Not Being Released
Introduction to Lua-Land CPU Flame Graphs
- What is a Flame Graph
- Simple Lua samples
- Complicated Lua applications
- Sampling overhead
- Safety
- Compatibility
- Other types of Lua-land Flame Graphs
- What is a Flame Graph
- Simple Lua samples
- Complicated Lua applications
- Sampling overhead
- Safety
- Compatibility
- Other types of Lua-land Flame Graphs
Memory Fragmentation in OpenResty and Nginx's Shared Memory Zones
- An empty zone
- Filling entries of similar sizes
- Deleting odd-numbered keys
- Deleting the keys in the first half
- Mitigating Fragmentation
- An empty zone
- Filling entries of similar sizes
- Deleting odd-numbered keys
- Deleting the keys in the first half
- Mitigating Fragmentation
How OpenResty and Nginx Shared Memory Zones Consume RAM
- Slabs and pages
- What is allocated is not what is paid for
- Fake Memory Leaks
- HUP reload
- Slabs and pages
- What is allocated is not what is paid for
- Fake Memory Leaks
- HUP reload
How OpenResty and Nginx Allocate and Manage Memory
- On The System Level
- On The Application Level
- For Traditional Nginx Servers
- On The System Level
- On The Application Level
- For Traditional Nginx Servers
The LuaJIT GC64 Mode
- The Old Memory Limit
- When Hitting The Memory Limit
- The Memory Limit Is Per Process
- GC-Managed Memory
- Memory Allocated Outside GC
- Extending The x64 Mode to The 4 GB Limit
- The New GC64 Mode
- How to Enable The GC64 Mode
- Performance Impact
- Debugging and Profiling Tool Chains
- The Old Memory Limit
- When Hitting The Memory Limit
- The Memory Limit Is Per Process
- GC-Managed Memory
- Memory Allocated Outside GC
- Extending The x64 Mode to The 4 GB Limit
- The New GC64 Mode
- How to Enable The GC64 Mode
- Performance Impact
- Debugging and Profiling Tool Chains
OpenResty XRay Version 26.5.11. Now Available
- Key Highlights
- Other Important Updates
- Key Highlights
- Other Important Updates
OpenResty XRay Version 26.2.1. Now Available
- Key Highlights
- Stability and Usability Enhancements
- Key Highlights
- Stability and Usability Enhancements
How OpenResty XRay Enables Full-Stack Dynamic Tracing in Production
- Where Do Existing Dynamic Tracing Frameworks Fall Short in Production?
- How Did OpenResty XRay Rethink Dynamic Tracing at the Architecture Level?
- What Is a Full-Stack Flame Graph and How Do You Use It to Diagnose Performance Bottlenecks?
- How Is OpenResty XRay Expanding Its Observability Coverage Over Time?
- Further Reading and Real-World Case Studie
- Where Do Existing Dynamic Tracing Frameworks Fall Short in Production?
- How Did OpenResty XRay Rethink Dynamic Tracing at the Architecture Level?
- What Is a Full-Stack Flame Graph and How Do You Use It to Diagnose Performance Bottlenecks?
- How Is OpenResty XRay Expanding Its Observability Coverage Over Time?
- Further Reading and Real-World Case Studie
Introduction to OpenResty XRay
- Core Philosophy: A Tracing Engine Built for the Unknown
- Turning Noise into Signal: How XRay Demystifies Production Issues
- Empowering Engineering Teams in Cloud-Native Reality
- Built on a Robust, Open Technological Foundatione
- Real-World Success Stories
- Core Philosophy: A Tracing Engine Built for the Unknown
- Turning Noise into Signal: How XRay Demystifies Production Issues
- Empowering Engineering Teams in Cloud-Native Reality
- Built on a Robust, Open Technological Foundatione
- Real-World Success Stories
Hunting Down a Silent Memory Leak in OpenResty Without a Reboot
- A Complete Dissection of a Production Memory Leak
- Why Are These Problems Nearly Unsolvable?
- A System Transformation
- When Performance Issues Go Beyond Just Tools
- A Complete Dissection of a Production Memory Leak
- Why Are These Problems Nearly Unsolvable?
- A System Transformation
- When Performance Issues Go Beyond Just Tools
Anatomy of a 15x Performance Drop: A 90k to 6k QPS Root Cause Analysis with OpenResty XRay
- The 93% Performance Drop: Uncovering the Observability Blind Spot
- OpenResty XRay Uncovers Connection Reuse Issues
- Comparative Analysis Reveals Compilation Option Issues
- Impact of Compiler Options on Instruction Execution Performance
- The 93% Performance Drop: Uncovering the Observability Blind Spot
- OpenResty XRay Uncovers Connection Reuse Issues
- Comparative Analysis Reveals Compilation Option Issues
- Impact of Compiler Options on Instruction Execution Performance
Deconstructing the LuaJIT Pseudo Memory Leak
- Defining Pseudo Memory Leak
- Beyond Crashes, Architectural Unpredictability
- Why Code Optimization Is No Longer Effective?
- From Passive Retention to Proactive Reclamation
- Enabling Memory to Breathe
- Defining Pseudo Memory Leak
- Beyond Crashes, Architectural Unpredictability
- Why Code Optimization Is No Longer Effective?
- From Passive Retention to Proactive Reclamation
- Enabling Memory to Breathe
How We Pinpointed a 244ms Latency Spike in a 500k QPS OpenResty Gateway
- When Traditional Monitoring Fails to Pinpoint the Root Cause
- From Heuristics to the Power of Dynamic Observability
- Quantifiable Engineering Efficiency and Resource Optimization Results
- Building Continuous Performance Observability
- When Traditional Monitoring Fails to Pinpoint the Root Cause
- From Heuristics to the Power of Dynamic Observability
- Quantifiable Engineering Efficiency and Resource Optimization Results
- Building Continuous Performance Observability
How OpenResty XRay Pinpointed Java Memory Issues
- Background and Problem
- Systematic Diagnostic Path: From Leak to Jitter
- Diagnostic Efficiency and System Improvements
- Why Choose OpenResty XRay for Java Application Memory Analysis?
- Background and Problem
- Systematic Diagnostic Path: From Leak to Jitter
- Diagnostic Efficiency and System Improvements
- Why Choose OpenResty XRay for Java Application Memory Analysis?
When a "Black Box" Plugin Consumes 45% CPU: How We Pinpointed Lua Line 93 Without Source Code
- When perf Meets the Black Box
- From Sampling to Full-Stack Dynamic Tracing
- Uncovering the Evidence Trail
- From What happene to Why
- Summary
- When perf Meets the Black Box
- From Sampling to Full-Stack Dynamic Tracing
- Uncovering the Evidence Trail
- From What happene to Why
- Summary
OpenResty XRay Version 25.10.11 Now Available
- Three Key Highlights
- Enhanced Diagnostic Accuracy and Stability
- Usability and Security Enhancements
- Three Key Highlights
- Enhanced Diagnostic Accuracy and Stability
- Usability and Security Enhancements
How to Pinpoint the Hidden Cost of Gzip Configuration with OpenResty XRay
- Performance Issues Often Lurk in Unexpected Places
- How OpenResty XRay Uncovers the Root Cause
- Quantifying Performance Bottlenecks
- From Experience to Methodology
- Performance Issues Often Lurk in Unexpected Places
- How OpenResty XRay Uncovers the Root Cause
- Quantifying Performance Bottlenecks
- From Experience to Methodology
How to use OpenResty XRay to quickly pinpoint memory leaks in C++ process
- Technical Predicament and Initial Diagnosis
- Flame Graphs: Pinpointing Memory Leak Hotspots
- From Reactive to Proactive: XRay’s New Approach to Troubleshooting
- The OpenResty XRay Closed-Loop Approach
- Technical Predicament and Initial Diagnosis
- Flame Graphs: Pinpointing Memory Leak Hotspots
- From Reactive to Proactive: XRay’s New Approach to Troubleshooting
- The OpenResty XRay Closed-Loop Approach
Building a Non-Invasive Java Function Profiler with OpenResty XRay
- What is Non-Intrusive Function Probing?
- What Makes OpenResty XRay’s Non-Intrusive Probes Unique?
- Hands-on Demo: Monitoring Function Parameters
- Technical Advantages and Use Cases
- What is Non-Intrusive Function Probing?
- What Makes OpenResty XRay’s Non-Intrusive Probes Unique?
- Hands-on Demo: Monitoring Function Parameters
- Technical Advantages and Use Cases
How OpenResty XRay Pinpoints the Toughest Problems with Minimal Data
- More Data Doesn’t Mean More Insight
- The Difference of OpenResty XRay
- XRay Real-world Use Cases
- More Data Doesn’t Mean More Insight
- The Difference of OpenResty XRay
- XRay Real-world Use Cases
OpenResty XRay Reduces Usage to 40% with a Flame Graph for Financial Services
- Pinpointing Memory Leak Root Causes with a Flame Graph
- Significant Optimization Achievements
- Further Reading
- Summary
- Pinpointing Memory Leak Root Causes with a Flame Graph
- Significant Optimization Achievements
- Further Reading
- Summary
How OpenResty XRay's Node.js Function Probes Enable a New Monitoring Paradigm
- Why You Need a New Paradigm for Non-Invasive Function Probes
- Hands-on Demo: Monitoring Function Parameters
- How Top Teams Leverage Non-Intrusive Probes to Boost Engineering Efficiency
- Why You Need a New Paradigm for Non-Invasive Function Probes
- Hands-on Demo: Monitoring Function Parameters
- How Top Teams Leverage Non-Intrusive Probes to Boost Engineering Efficiency
Application Lagging? OpenResty XRay: Instantly Uncover the Truth Behind 75ms Blockages
- Unraveling Performance Puzzles: CPU Resource Contention Comes to Light
- The Real Culprit Revealed: Blocking Lua I/O Operations
- Quantitative Analysis: The Impact of File IO Performance
- Deep Dive: Understanding Event Loop Blocking in Nginx
- Unraveling Performance Puzzles: CPU Resource Contention Comes to Light
- The Real Culprit Revealed: Blocking Lua I/O Operations
- Quantitative Analysis: The Impact of File IO Performance
- Deep Dive: Understanding Event Loop Blocking in Nginx
Double Bottleneck Concurrency? OpenResty XRay Multi-dimensional Analysis Solves Performance Challenges
- Overall CPU Usage Analysis
- In-depth Module Analysis
- Analysis of Compression Strategies
- Analysis Conclusions
- Optimization Solutions
- Overall CPU Usage Analysis
- In-depth Module Analysis
- Analysis of Compression Strategies
- Analysis Conclusions
- Optimization Solutions
Analyzing CPU Usage in Online Node.js Applications (Using OpenResty XRay)
- High CPU Usage Issues in Node.js Applications
- CPU Blocking Issues in Node.js Applications
- Automated Sampling and Expert Analysis
- Performance Impact and Overhead
- Future Plans
- High CPU Usage Issues in Node.js Applications
- CPU Blocking Issues in Node.js Applications
- Automated Sampling and Expert Analysis
- Performance Impact and Overhead
- Future Plans
How OpenResty XRay Thoroughly Analyzes Nginx Memory Corruption Issues
- A Nginx Crash Case That Kept the Operations Team Up All Night
- How to Use OpenResty XRay to Precisely Capture the First Scene of Memory Corruption
- How Secondary Development Accidentally Broke Nginx’s Lifecycle Management
- A Nginx Crash Case That Kept the Operations Team Up All Night
- How to Use OpenResty XRay to Precisely Capture the First Scene of Memory Corruption
- How Secondary Development Accidentally Broke Nginx’s Lifecycle Management
How UDB and OpenResty XRay Let You See Through the Entire Perl Code Execution Process
- What is UDB?
- Hands-on: Analyzing Perl Application Call Stacks with OpenResty XRay and UDB
- Why More Developers Are Choosing UDB?
- Summary
- What is UDB?
- Hands-on: Analyzing Perl Application Call Stacks with OpenResty XRay and UDB
- Why More Developers Are Choosing UDB?
- Summary
UDB + OpenResty XRay: Unlocking the Mystery of OpenResty Application Performance
- How OpenResty XRay Enhances Efficiency with UDB
- Hands-On: Analyzing OpenResty Lua Call Stacks with UDB and OpenResty XRay
- Advantages of Time-Travel Debugging
- Summary
- How OpenResty XRay Enhances Efficiency with UDB
- Hands-On: Analyzing OpenResty Lua Call Stacks with UDB and OpenResty XRay
- Advantages of Time-Travel Debugging
- Summary
UDB and OpenResty XRay: How to Analyze File Operations in Java Applications
- What is UDB?
- Power Duo: UDB Meets OpenResty XRay
- Hands-On Tutorial: Analyzing Java Application File Operations with OpenResty XRay and UDB
- Conclusion
- What is UDB?
- Power Duo: UDB Meets OpenResty XRay
- Hands-On Tutorial: Analyzing Java Application File Operations with OpenResty XRay and UDB
- Conclusion
Unveiling Python Code Execution with UDB
- The Unique Value of UDB in Python Debugging
- Enhancing Debugging Capabilities with OpenResty XRay
- Real-World Example: Analyzing Python Network Request Call Stacks
- Summary
- The Unique Value of UDB in Python Debugging
- Enhancing Debugging Capabilities with OpenResty XRay
- Real-World Example: Analyzing Python Network Request Call Stacks
- Summary
Case Study: How to Trace a Memory Leak Caused by an LRU Cache Using OpenResty XRay
- The Silent Killer: How Invisible Memory Leaks Threaten Business Stability
- A Deep Dive into a Memory Leak Investigation
- From Predicament to Breakthrough: A Pinpoint Diagnosis
- The Silent Killer: How Invisible Memory Leaks Threaten Business Stability
- A Deep Dive into a Memory Leak Investigation
- From Predicament to Breakthrough: A Pinpoint Diagnosis
Performance Breakthrough: 60% DNS Optimization Success with OpenResty XRay
- When the “Lifeline” DNS Service Faces a Performance Crisis
- How to Investigate the Culprit Step by Step with OpenResty XRay
- Precision “Treatment”: Three Steps to Rebirth
- Summary: What We Achieved in Just a Few Minutes
- What is OpenResty XRay
- When the “Lifeline” DNS Service Faces a Performance Crisis
- How to Investigate the Culprit Step by Step with OpenResty XRay
- Precision “Treatment”: Three Steps to Rebirth
- Summary: What We Achieved in Just a Few Minutes
- What is OpenResty XRay
The Swiss Army Knife for Dynamic Tracing, How Ylang Tames Complexity
- Industry Pain Point: Why We Desperately Need a New Tracing Language
- The Core Tech: What Makes Y Language a Game-Changer?
- Ylang Syntax: The Familiarity of C, The Power of Advanced Tracing
- Killer Applications: Solving Problems Beyond the Reach of Traditional Tools
- Universal Platform Support: Y Lang Goes Everywhere
- Compiler Wizardry: Forging a Superior Language with Superior Tools
- Industry Pain Point: Why We Desperately Need a New Tracing Language
- The Core Tech: What Makes Y Language a Game-Changer?
- Ylang Syntax: The Familiarity of C, The Power of Advanced Tracing
- Killer Applications: Solving Problems Beyond the Reach of Traditional Tools
- Universal Platform Support: Y Lang Goes Everywhere
- Compiler Wizardry: Forging a Superior Language with Superior Tools
Major Breakthrough for OpenResty XRay: Non-Intrusive Analysis of Java Application Memory & Envoy Lua Performance
- Gain Complete Insight into Java Application Memory, Non-Intrusively
- Unlocking the Lua Performance Black Box Inside Envoy
- The Road Ahead
- Gain Complete Insight into Java Application Memory, Non-Intrusively
- Unlocking the Lua Performance Black Box Inside Envoy
- The Road Ahead
Why Dynamic Tracing is the Future of Production Troubleshooting
- The Unseen Crisis in Modern Software
- Why Traditional Tools Are Failing
- Dynamic Tracing: The New Paradigm for Troubleshooting
- The OpenResty XRay Difference
- From Firefighting to True Observability
- The Unseen Crisis in Modern Software
- Why Traditional Tools Are Failing
- Dynamic Tracing: The New Paradigm for Troubleshooting
- The OpenResty XRay Difference
- From Firefighting to True Observability
Deep Dive into Dynamic Tracing Technology: How OpenResty XRay Revolutionizes Problem Diagnosis
- Dynamic Tracing: A Powerful Tool for Solving Complex System Issues
- Why Choose OpenResty XRay?
- Product Focus: XRay Applications in Real-World Scenarios
- Common Misconceptions and FAQs: What You Might Want to Know About Dynamic Tracing
- Dynamic Tracing: A Powerful Tool for Solving Complex System Issues
- Why Choose OpenResty XRay?
- Product Focus: XRay Applications in Real-World Scenarios
- Common Misconceptions and FAQs: What You Might Want to Know About Dynamic Tracing
The Next Stop for Observability: How OpenResty XRay Redefines Problem Troubleshooting
- Why is Problem Troubleshooting Becoming Increasingly Difficult in Modern Software Architecture?
- Trend Insights: The Future of Observability Technology
- How Does Dynamic Tracing Technology Break Through Abstraction Layers?
- Use Case: Real-time Statistics of Plugin Resource Consumption in Production Kong Services
- Conclusion
- Why is Problem Troubleshooting Becoming Increasingly Difficult in Modern Software Architecture?
- Trend Insights: The Future of Observability Technology
- How Does Dynamic Tracing Technology Break Through Abstraction Layers?
- Use Case: Real-time Statistics of Plugin Resource Consumption in Production Kong Services
- Conclusion
Traditional Methods vs. Dynamic Tracing: A Revolution in Efficiency and Control
- A Revolution in Efficiency and Control
- Dynamic Tracing: X-Ray Vision for Your Systems
- From Flame Graphs to System Panorama
- Why Choose OpenResty XRay?
- The Future of Observability: New Frontiers in Dynamic Tracing
- A Revolution in Efficiency and Control
- Dynamic Tracing: X-Ray Vision for Your Systems
- From Flame Graphs to System Panorama
- Why Choose OpenResty XRay?
- The Future of Observability: New Frontiers in Dynamic Tracing
Why is Dynamic Tracing Difficult to Implement? How Does OpenResty XRay Break Through?
- Why is Problem Troubleshooting Becoming Increasingly Difficult in Modern Software Architecture?
- Trend Insights: The Future of Observability Technology
- How Does Dynamic Tracing Technology Break Through Abstraction Layers?
- Use Case: Real-time Statistics of Plugin Resource Consumption in Production Kong Services
- Conclusion
- Why is Problem Troubleshooting Becoming Increasingly Difficult in Modern Software Architecture?
- Trend Insights: The Future of Observability Technology
- How Does Dynamic Tracing Technology Break Through Abstraction Layers?
- Use Case: Real-time Statistics of Plugin Resource Consumption in Production Kong Services
- Conclusion
From Black Box to White Box: OpenResty XRay Makes System Issues Nowhere to Hide
- A Dynamic Tracing Tool That Turns Black Boxes into White Boxes
- Comprehensive Multi-dimensional Analysis Capabilities
- Real-World Case Studies
- Product Vision
- A Dynamic Tracing Tool That Turns Black Boxes into White Boxes
- Comprehensive Multi-dimensional Analysis Capabilities
- Real-World Case Studies
- Product Vision
OpenResty XRay Empowers LLVM clang Performance Optimization Practices
- What is LLVM/clang
- OpenResty XRay Analysis Process
- Optimization Implementation and Results
- Conclusion
- What is LLVM/clang
- OpenResty XRay Analysis Process
- Optimization Implementation and Results
- Conclusion
Self-Optimization: The Performance Evolution of OpenResty XRay
- Challenges and Pain Points
- OpenResty XRay’s Self-Analysis Process
- Remarkable Optimization Results
- Technical Insights and Business Value
- Conclusion
- Challenges and Pain Points
- OpenResty XRay’s Self-Analysis Process
- Remarkable Optimization Results
- Technical Insights and Business Value
- Conclusion
OpenResty XRay Helps Boost Script Performance by 44 Times
- From Bottleneck Discovery to Significant Speed Improvement
- How OpenResty XRay Works
- Comparison with Traditional Methods
- From Bottleneck Discovery to Significant Speed Improvement
- How OpenResty XRay Works
- Comparison with Traditional Methods
Cross-Media Data Structure Drift: OpenResty XRay Enables 20x Performance Improvement
- Performance Challenges and Breakthroughs
- Practical Significance of 20x Performance Improvement
- Future Outlook
- Performance Challenges and Breakthroughs
- Practical Significance of 20x Performance Improvement
- Future Outlook
From OOM to O(1): The Implementation Path of Streaming JSON Parser
- Differences between JSONL format and traditional JSON
- Solution
- Continuous optimization
- Technical insights
- verification
- Differences between JSONL format and traditional JSON
- Solution
- Continuous optimization
- Technical insights
- verification
From Days to Hours: How OpenResty XRay Accelerated the Linux shred Tool by Dozens of Times
- Problem Analysis
- OpenResty XRay Practical Results
- Optimization Process
- Application Value
- Problem Analysis
- OpenResty XRay Practical Results
- Optimization Process
- Application Value
Case Study: OpenResty XRay Doubles Ylang Compiler Performance
- Case Study: OpenResty XRay Doubles Ylang Compiler Performance
- Significant Optimization Results
- Ylang Language: The Ideal Tool for Dynamic Tracing
- A Model of Technical Synergy
- Further Reading
- Case Study: OpenResty XRay Doubles Ylang Compiler Performance
- Significant Optimization Results
- Ylang Language: The Ideal Tool for Dynamic Tracing
- A Model of Technical Synergy
- Further Reading
Analyzing CPU, off-CPU and Disk I/O Usage of Java Applications (Using OpenResty XRay)
- High CPU usage issues in Java applications
- CPU blocking issues in Java applications
- High disk I/O issues in Java applications
- Supported Java versions and operating systems
- Performance impact and overhead
- Future plans
- High CPU usage issues in Java applications
- CPU blocking issues in Java applications
- High disk I/O issues in Java applications
- Supported Java versions and operating systems
- Performance impact and overhead
- Future plans
Introduction to OpenResty XRay Mobile Apps
- Download and install OpenResty XRay for Android
- Sign into OpenResty XRay
- Automatic analysis report
- View the performance chart data on the dashboard page
- Guided analysis feature
- What is OpenResty XRay
- Download and install OpenResty XRay for Android
- Sign into OpenResty XRay
- Automatic analysis report
- View the performance chart data on the dashboard page
- Guided analysis feature
- What is OpenResty XRay
The Wonderland of Dynamic Tracing (Part 1 of 3)
- Dynamic Tracing
- What It Is
- Too Good to be True?
- How it Works
- Still Having Doubts?
- The Advantages of Dynamic Tracing
- DTrace
- SystemTap
- DTrace and SystemTap
- Applications of SystemTap in Production
- Dynamic Tracing
- What It Is
- Too Good to be True?
- How it Works
- Still Having Doubts?
- The Advantages of Dynamic Tracing
- DTrace
- SystemTap
- DTrace and SystemTap
- Applications of SystemTap in Production
The Wonderland of Dynamic Tracing (Part 2 of 3)
- Flame Graphs
- Methodology
- Knowledge Is Power
- Open-Source and Debug Symbols
- Flame Graphs
- Methodology
- Knowledge Is Power
- Open-Source and Debug Symbols
The Wonderland of Dynamic Tracing (Part 3 of 3)
- Dynamic Tracing Support in Linux Kernels
- Hardware Tracing
- Analyze Remains of Dead Process
- Traditional Debugging Technologies
- A Messy World of Debugging
- OpenResty XRay
- Dynamic Tracing Support in Linux Kernels
- Hardware Tracing
- Analyze Remains of Dead Process
- Traditional Debugging Technologies
- A Messy World of Debugging
- OpenResty XRay
One String Value Crashed Asia's Biggest Streaming Site β We Found It with OpenResty XRay
- The Platform Behind Hundreds of Millions of Streams
- When Rebooting Doesn’t Help
- Finding the Root Cause Without Touching a Single Line of Code
- One Type Mismatch, Entire System Down
- The Platform Behind Hundreds of Millions of Streams
- When Rebooting Doesn’t Help
- Finding the Root Cause Without Touching a Single Line of Code
- One Type Mismatch, Entire System Down
Memory Reduced by 60%, OpenResty XRay Precisely Locates Problem Code, Quickly Completes Fixes and Deployment
- High Memory Usage by Worker Processes
- Analysis Process
- Questions about Worker Process Memory Not Being Released
- High Memory Usage by Worker Processes
- Analysis Process
- Questions about Worker Process Memory Not Being Released
Install OpenResty XRayβs Agents on Kubernetes cluster
- Logging in to the Console
- Installing the Agent on Kubernetes cluster
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
- Logging in to the Console
- Installing the Agent on Kubernetes cluster
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
Install OpenResty XRayβs Agents on Amazon Linux via Package Bundles
- Logging in to the Console
- Installing the Agent via Bundle Packages
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
- Logging in to the Console
- Installing the Agent via Bundle Packages
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
Install OpenResty XRayβs Agents on Ubuntu via Deb Packages
- Logging in to the Console
- Installing the Agent via Deb Packages
- Checking the Agent Status and Logs
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
- Logging in to the Console
- Installing the Agent via Deb Packages
- Checking the Agent Status and Logs
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
Install OpenResty XRayβs Agents on CentOS via RPM Packages
- Logging in to the Console
- Installing the Agent via RPM Packages
- Checking the Agent Status and Logs
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
- Logging in to the Console
- Installing the Agent via RPM Packages
- Checking the Agent Status and Logs
- Configuring and Detecting Applications
- Initiating Analyzers and Viewing Insights
- Install Another Agent
- What is OpenResty XRay
How to deploy the on-premises version of OpenResty XRay on Microsoft's Azure cloud
- Create a subscription and a resource group
- Create the Azure Kubernetes service
- Prepare the environment variables
- Log in to Azure from the command line
- Create the namespace and secret for Kubernetes
- Create the Azure Disk
- Update the configuration file for the persistent volume
- Update the Kubernetes configuration file
- Create the persistent volume
- Deploy the Kubernetes service
- Configure the application gateway
- Create a subscription and a resource group
- Create the Azure Kubernetes service
- Prepare the environment variables
- Log in to Azure from the command line
- Create the namespace and secret for Kubernetes
- Create the Azure Disk
- Update the configuration file for the persistent volume
- Update the Kubernetes configuration file
- Create the persistent volume
- Deploy the Kubernetes service
- Configure the application gateway
Pinpointing the Hottest Go Code Paths with High Disk I/O (using OpenResty XRay)
- Problem: high disk I/O
- Use the guidede analysis feature of OpenResty XRay to spot the problematic Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high disk I/O
- Use the guidede analysis feature of OpenResty XRay to spot the problematic Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
How to Locate Exceptions inside Go Applications (using OpenResty XRay)
- How to detect and analyze exceptions inside live Go applications
- Automatic analysis and reports
- What is OpenResty XRay
- How to detect and analyze exceptions inside live Go applications
- Automatic analysis and reports
- What is OpenResty XRay
Pinpointing CPU-Hottest Go Code Paths Inside Prometheus (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the CPU-hottest Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the CPU-hottest Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
How CPU Time is Spent inside Goβs CockroachDB (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the most CPU-intensive Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the most CPU-intensive Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
Measuring the Performance Overhead of OpenResty XRay When Profiling Go Applications
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
Dynamic-Tracing Custom Go Programs with Custom Ylang Analyzers (using OpenResty XRay)
- Insert two key-value Pairs into a Go Variable
- Write a Customize Ylang Analyzer to Dynamically Trace the Go program
- Test the Results
- What is OpenResty XRay
- Insert two key-value Pairs into a Go Variable
- Write a Customize Ylang Analyzer to Dynamically Trace the Go program
- Test the Results
- What is OpenResty XRay
How CPU time is spent inside Go's etcd server (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
Find Blocking Go Code Paths Holding back CPU Usage (Using OpenResty XRay)
- Problem: low CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the blocking Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: low CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the blocking Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
Pinpointing the hottest Go code paths with high CPU usage (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Go code paths
- Automatic analysis and reports
- What is OpenResty XRay
Pinpointing the Python Code Paths with High Disk I/O (using OpenResty XRay)
- Problem: high disk I/O
- Spot the problematic Python code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high disk I/O
- Spot the problematic Python code paths
- Automatic analysis and reports
- What is OpenResty XRay
Performance Impact of OpenResty XRay when Tracing Python Apps
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
Find the largest Python objects or values taking the most RAM (using OpenResty XRay)
- Problem: high memory usage
- Use the guided analysis feature of OpenResty XRay to find the largest Python objects or values taking the most RAM
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high memory usage
- Use the guided analysis feature of OpenResty XRay to find the largest Python objects or values taking the most RAM
- Automatic analysis and reports
- What is OpenResty XRay
Pinpointing the blocking Python code paths (using OpenResty XRay)
- Problem: low CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the blocking Python code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: low CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the blocking Python code paths
- Automatic analysis and reports
- What is OpenResty XRay
Analyzing Tomcat Java Web Application Request Latency (Using OpenResty XRay)
- Analyzing Tomcat Java Web application request latency
- Flexible filtering conditions for request capture
- Detailed request information capture
- PCAP packet capture functionality
- Practical application examples
- Analyzing Tomcat Java Web application request latency
- Flexible filtering conditions for request capture
- Detailed request information capture
- PCAP packet capture functionality
- Practical application examples
How to Trace Exceptions inside Perl Applications (using OpenResty XRay)
- How to detect and analyze exceptions inside Perl applications
- Automatic analysis and reports
- What is OpenResty XRay
- How to detect and analyze exceptions inside Perl applications
- Automatic analysis and reports
- What is OpenResty XRay
Find Blocking Perl Code Paths Holding back CPU Usage (Using OpenResty XRay)
- Problem: low CPU usage
- Use the guided analysis feature of OpenResty XRay to spot the blocking Perl code paths
- Automatic analysis and reports
- What is OpenResty XRay
- About The Author
- Problem: low CPU usage
- Use the guided analysis feature of OpenResty XRay to spot the blocking Perl code paths
- Automatic analysis and reports
- What is OpenResty XRay
- About The Author
Performance Overhead of OpenResty XRay when Tracing Perl Apps
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
Locate Large Memory Objects inside Perl Processes (using OpenResty XRay)
- Problem: high memory usage
- Use the guided analysis feature of OpenResty XRay to find the largest Perl objects or values taking the most RAM
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high memory usage
- Use the guided analysis feature of OpenResty XRay to find the largest Perl objects or values taking the most RAM
- Automatic analysis and reports
- What is OpenResty XRay
Pinpointing hottest Perl code paths (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Perl code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Perl code paths
- Automatic analysis and reports
- What is OpenResty XRay
Pinpointing the Hottest Rust Code Paths with High Disk I/O (using OpenResty XRay)
- Problem: high disk I/O
- Spot the problematic Rust code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high disk I/O
- Spot the problematic Rust code paths
- Automatic analysis and reports
- What is OpenResty XRay
How to Locate Exceptions inside Rust Applications (using OpenResty XRay)
- How to detect and analyze exceptions inside live Rust applications
- Automatic analysis and reports
- What is OpenResty XRay
- How to detect and analyze exceptions inside live Rust applications
- Automatic analysis and reports
- What is OpenResty XRay
Tested in Production: The Performance Impact of OpenResty XRay When Tracing Rust Applications
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
- Process Performance Before Running Analysis
- Performance Impact When the Analyzer is Running
- Impact Measurement on Throughput and Latency
- What is OpenResty XRay
How CPU time is spent inside Rustβs Sled library (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the most CPU-intensive Rust code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the most CPU-intensive Rust code paths
- Automatic analysis and reports
- What is OpenResty XRay
Use C++ to Dynamic-Trace C++ Applications
- Setting Up the Target C++ Program
- Crafting the C++ (or Y++) Analyzer
- Operationalizing the Target and Analyzer
- Advancing Support for Complex C++ Applications
- About the Debug Symbols
- Setting Up the Target C++ Program
- Crafting the C++ (or Y++) Analyzer
- Operationalizing the Target and Analyzer
- Advancing Support for Complex C++ Applications
- About the Debug Symbols
Pinpointing the hottest Erlang code paths with high CPU usage (using OpenResty XRay)
- Problem: high CPU usage
- Spot the CPU-hottest Erlang code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Spot the CPU-hottest Erlang code paths
- Automatic analysis and reports
- What is OpenResty XRay
Analyze OpenResty/Nginx Applications without Debug Symbols (using OpenResty XRay)
- Problem: Debug Symbols are missing
- Automatically Analyze and Rebuild Debug Symbols
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: Debug Symbols are missing
- Automatically Analyze and Rebuild Debug Symbols
- Automatic analysis and reports
- What is OpenResty XRay
Automatic Core Dump Analysis (using OpenResty XRay)
- Check the core dump file
- Use the guided analysis feature of OpenResty XRay to analyze the core file
- Automatic analysis and reports
- What is OpenResty XRay
- Check the core dump file
- Use the guided analysis feature of OpenResty XRay to analyze the core file
- Automatic analysis and reports
- What is OpenResty XRay
How CPU Time is Spent inside Envoy Servers (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the most CPU-intensive C++ code paths inside Envoy Servers
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the most CPU-intensive C++ code paths inside Envoy Servers
- Automatic analysis and reports
- What is OpenResty XRay
How to Diagnose HTTP 504 Timeout Errors using OpenResty XRay
- Problem: HTTP 504 gateway timeout errors
- Use the guidede analysis feature of OpenResty XRay to diagnose these errors
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: HTTP 504 gateway timeout errors
- Use the guidede analysis feature of OpenResty XRay to diagnose these errors
- Automatic analysis and reports
- What is OpenResty XRay
How Python Django's Application Uses Memory Internally (Using OpenResty XRay)
- Problem: high memory usage
- Use the guidede analysis feature of OpenResty XRay to analyze the django application
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high memory usage
- Use the guidede analysis feature of OpenResty XRay to analyze the django application
- Automatic analysis and reports
- What is OpenResty XRay
How CPU time is spent inside llama.cpp + LLaMA2 (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest C++ code paths
- Automatic analysis and reports
- What is OpenResty XRay
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest C++ code paths
- Automatic analysis and reports
- What is OpenResty XRay
Two bugs in Linux kernels' tracing subsystem (found by OpenResty XRay)
- Kernel deadlocks in user-space memory reading
- Data races in x86 breakpoint insertion of the kernel
- What is OpenResty XRay
- Kernel deadlocks in user-space memory reading
- Data races in x86 breakpoint insertion of the kernel
- What is OpenResty XRay
Pinpointing hottest Lua code paths in online OpenResty/Nginx servers (using OpenResty XRay)
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Lua code paths
- Automatic analysis and reports
- Problem: high CPU usage
- Use the guidede analysis feature of OpenResty XRay to spot the hottest Lua code paths
- Automatic analysis and reports
How we solved a CPU bottleneck caused by Lua exceptions in a custom Kong plugin (using OpenResty XRay)
- The problem: high CPU usage in Kong servers
- The analysis & report
- The result: improved performance and reduced CPU usage
- The problem: high CPU usage in Kong servers
- The analysis & report
- The result: improved performance and reduced CPU usage
Memory and CPU usage statistics among Kong plugins online (using OpenResty XRay)
- CPU usage among all Kong plugins in a server process
- Memory usage among all Kong plugins in a server process
- Extra overhead for the servers
- CPU usage among all Kong plugins in a server process
- Memory usage among all Kong plugins in a server process
- Extra overhead for the servers
Troubleshooting the extra 200-ms request latency online
- The Problem
- The Analsysis Process
- Fully-automated analysis
- What is OpenResty XRay
- The Problem
- The Analsysis Process
- Fully-automated analysis
- What is OpenResty XRay
Pinpointing leaked Lua tables with OpenResty XRay's command-line tools
- How LuaJIT manages memory
- OpenResty XRay’s command-line tools
- An leaking example
- Analysis procedure
- lj-gco-ref analyzer
- Fully-automated analysis
- How LuaJIT manages memory
- OpenResty XRay’s command-line tools
- An leaking example
- Analysis procedure
- lj-gco-ref analyzer
- Fully-automated analysis
Real-Time Request Counting against Nginx Processes via YSQL
- How to install the run-ysql tool
- Count total requests served in real time
- Filter out specific requests
- Using YSQL in the Web Console
- True non-invasive tracing
- How to install the run-ysql tool
- Count total requests served in real time
- Filter out specific requests
- Using YSQL in the Web Console
- True non-invasive tracing
When Lua IPC Pipes Block OpenResty or Nginx's Event Loops
- The Problem
- Analyses
- Solutions
- Results
- The Problem
- Analyses
- Solutions
- Results
Optimize Memory Fragmentation due to Huge Nginx Configuration
- Challenges
- Analyses
- Solutions
- Results
- Challenges
- Analyses
- Solutions
- Results
Tracing the Slowest PCRE Regular Expressions in OpenResty or Nginx Processes
- System Environment
- Narrowing Down the Culprit without Guessing
- Limiting the execution overhead of PCRE
- Non-Backtracking Regular Expression Engines
- Lua’s Builtin Patterns
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
- System Environment
- Narrowing Down the Culprit without Guessing
- Limiting the execution overhead of PCRE
- Non-Backtracking Regular Expression Engines
- Lua’s Builtin Patterns
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
Listing Loaded Lua Modules in OpenResty or Nginx Processes
- System Environment
- Names of Loaded Lua Modules
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
- System Environment
- Names of Loaded Lua Modules
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
Analyzing the Most CPU-Consuming Requests in OpenResty or Nginx
- System Environment
- CPU-Hottest Request Hostnames
- CPU-Hottest Request URIs
- Digging Deeper
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
- System Environment
- CPU-Hottest Request Hostnames
- CPU-Hottest Request URIs
- Digging Deeper
- Running Directly in the Web Console
- Tracing Applications inside Containers
- How The Tools are Implemented
- The Overhead of the Tools
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 4 of 4)
- Transparent Container Tracing
- Efficient Stack Unwinding
- Analyzing Dead Processes (Core Dumps)
- Very Low Tracing Overhead
- Standard Ylang Libraries & Tools
- Network Filtering & Control
- The Ylang Compiler’s Implementation
- Operating System Support
- Contributions to Open-Source Communities
- Transparent Container Tracing
- Efficient Stack Unwinding
- Analyzing Dead Processes (Core Dumps)
- Very Low Tracing Overhead
- Standard Ylang Libraries & Tools
- Network Filtering & Control
- The Ylang Compiler’s Implementation
- Operating System Support
- Contributions to Open-Source Communities
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 3 of 4)
- The Language Syntax (Continued)
- String Literals
- Built-in Regex Support
- Full Control-Flow Support
- Floating-Point Number Support
- Compared to Open-Source Toolchains
- Transparent Debug Symbol Handling
- Debug Symbols: No Runtime Overhead
- Centralized Package Database
- Fuzzy Matching Debug Symbols
- The Language Syntax (Continued)
- String Literals
- Built-in Regex Support
- Full Control-Flow Support
- Floating-Point Number Support
- Compared to Open-Source Toolchains
- Transparent Debug Symbol Handling
- Debug Symbols: No Runtime Overhead
- Centralized Package Database
- Fuzzy Matching Debug Symbols
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 2 of 4)
- The Language Syntax (Continued)
- Macros with Extensions
- Tracer and Tracee Spaces
- Probes
- Extended Variable Types
- The Language Syntax (Continued)
- Macros with Extensions
- Tracer and Tracee Spaces
- Probes
- Extended Variable Types
Ylang: Universal Language for eBPF, Stap+, GDB, and More (Part 1 of 4)
- What is Dynamic Tracing
- Why the “Y” Name
- Getting Started
- Various Backends and Runtimes
- Why a Unified Frontend Language
- The Language Syntax
- What is Dynamic Tracing
- Why the “Y” Name
- Getting Started
- Various Backends and Runtimes
- Why a Unified Frontend Language
- The Language Syntax
Introduction to Lua-Land CPU Flame Graphs
- What is a Flame Graph
- Simple Lua samples
- Complicated Lua applications
- Sampling overhead
- Safety
- Compatibility
- Other types of Lua-land Flame Graphs
- What is a Flame Graph
- Simple Lua samples
- Complicated Lua applications
- Sampling overhead
- Safety
- Compatibility
- Other types of Lua-land Flame Graphs
Memory Fragmentation in OpenResty and Nginx's Shared Memory Zones
- An empty zone
- Filling entries of similar sizes
- Deleting odd-numbered keys
- Deleting the keys in the first half
- Mitigating Fragmentation
- An empty zone
- Filling entries of similar sizes
- Deleting odd-numbered keys
- Deleting the keys in the first half
- Mitigating Fragmentation
How OpenResty and Nginx Shared Memory Zones Consume RAM
- Slabs and pages
- What is allocated is not what is paid for
- Fake Memory Leaks
- HUP reload
- Slabs and pages
- What is allocated is not what is paid for
- Fake Memory Leaks
- HUP reload
How OpenResty and Nginx Allocate and Manage Memory
- On The System Level
- On The Application Level
- For Traditional Nginx Servers
- On The System Level
- On The Application Level
- For Traditional Nginx Servers
The LuaJIT GC64 Mode
- The Old Memory Limit
- When Hitting The Memory Limit
- The Memory Limit Is Per Process
- GC-Managed Memory
- Memory Allocated Outside GC
- Extending The x64 Mode to The 4 GB Limit
- The New GC64 Mode
- How to Enable The GC64 Mode
- Performance Impact
- Debugging and Profiling Tool Chains
- The Old Memory Limit
- When Hitting The Memory Limit
- The Memory Limit Is Per Process
- GC-Managed Memory
- Memory Allocated Outside GC
- Extending The x64 Mode to The 4 GB Limit
- The New GC64 Mode
- How to Enable The GC64 Mode
- Performance Impact
- Debugging and Profiling Tool Chains