Files
rustfs/.docker/observability
Copilot fdcdb30d28 Optimize concurrent GetObject performance with Moka cache, comprehensive metrics, complete test suite, cache writeback, and comprehensive documentation (#916)
* Initial plan

* feat: add concurrency-aware buffer sizing and hot object caching for GetObject

- Implement adaptive buffer sizing based on concurrent request load
- Add per-request tracking with automatic cleanup using RAII guards
- Implement hot object cache (LRU) for frequently accessed small files (<= 10MB)
- Add disk I/O semaphore to prevent saturation under extreme load
- Integrate concurrency module into GetObject implementation
- Buffer sizes now adapt: low concurrency uses large buffers for throughput,
  high concurrency uses smaller buffers for fairness and memory efficiency
- Add comprehensive metrics collection for monitoring performance

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* docs: add comprehensive documentation and tests for concurrent GetObject optimization

- Add detailed technical documentation explaining the solution
- Document root cause analysis and solution architecture
- Include performance expectations and testing recommendations
- Add integration tests for concurrency tracking and buffer sizing
- Add cache behavior tests
- Include benchmark tests for concurrent request handling

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix: address code review issues in concurrency module

- Fix race condition in cache size tracking by using consistent atomic operations within lock
- Correct buffer sizing logic: 1-2 requests use 100%, 3-4 use 75%, 5-8 use 50%, >8 use 40%
- Improve error message for semaphore acquire failure
- Document limitation of streaming cache implementation (not yet implemented)
- Add TODO for proper streaming cache with suggested approaches
- Update tests to match corrected buffer sizing thresholds

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* docs: add comprehensive implementation summary for concurrent GetObject optimization

- Executive summary of problem and solution
- Detailed architecture documentation for each optimization
- Integration points and code examples
- Complete testing strategy and performance validation steps
- Monitoring and observability guidelines with Prometheus queries
- Deployment considerations and rollout strategy
- Future enhancement roadmap
- Success criteria and quantitative metrics

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fix

* refactor: optimize cache with lru 0.16.2 read-first pattern and add advanced features

- Implement optimized read-first cache access using peek() to reduce write lock contention
- Add batch cache operations: get_cached_batch() for efficient multi-object retrieval
- Add cache utility methods: is_cached(), remove_cached(), get_hot_keys()
- Implement warm_cache() for pre-populating cache on startup
- Add get_advanced_buffer_size() with file size and sequential read optimization
- Enhance test suite with 8 new comprehensive tests covering:
  - Batch operations and cache warming
  - Hot keys tracking and analysis
  - Cache removal and LRU behavior verification
  - Concurrent cache access performance
  - Advanced buffer sizing strategies
- Improve documentation and code comments in English throughout

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* docs: add final comprehensive optimization summary

- Complete technical documentation of all optimizations
- Detailed performance analysis and metrics
- Production deployment guide with examples
- Comprehensive API reference and usage patterns
- Migration guide and future enhancement roadmap
- All documentation in professional English

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fix

* add moka crate for cache

* feat: replace LRU with Moka cache and add comprehensive metrics

- Replace lru crate with moka 0.12.11 for superior concurrent performance
- Implement lock-free cache with automatic TTL/TTI expiration
- Add size-based eviction using Moka's weigher function
- Integrate comprehensive metrics collection throughout GetObject flow:
  * Cache hit/miss tracking with per-key access counts
  * Request concurrency gauges
  * Disk permit wait time histograms
  * Total request duration tracking
  * Response size and buffer size histograms
- Deep integration with ecfs.rs GetObject operation
- Add hit rate calculation method
- Enhanced CacheStats with hit/miss counters
- Lock-free concurrent reads for better scalability

Moka advantages over LRU:
- True lock-free concurrent access
- Built-in TTL and TTI support
- Automatic size-based eviction
- Better performance under high concurrency
- Native async support

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* docs: add comprehensive Moka cache migration and metrics documentation

- Complete technical documentation of LRU to Moka migration
- Detailed performance comparison and benchmarks
- Comprehensive metrics catalog with 15+ Prometheus metrics
- Prometheus query examples for monitoring
- Dashboard and alerting recommendations
- Migration guide with code examples
- Troubleshooting guide for common issues
- Future enhancement roadmap

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fix

* refactor: update tests for Moka cache implementation

- Completely refactor test suite to align with Moka-based concurrency.rs
- Add Clone derive to ConcurrencyManager for test convenience
- Update all tests to handle Moka's async behavior with proper delays
- Add new tests:
  * test_cache_hit_rate - validate hit rate calculation
  * test_ttl_expiration - verify TTL configuration
  * test_is_cached_no_side_effects - ensure contains doesn't affect LRU
  * bench_concurrent_cache_performance - benchmark concurrent access
- Updated existing tests:
  * test_moka_cache_operations - renamed and updated for Moka API
  * test_moka_cache_eviction - validate automatic eviction
  * test_hot_keys_tracking - improved assertions for sorted results
  * test_concurrent_cache_access - validate lock-free performance
- All tests now include appropriate sleep delays for Moka's async processing
- Enhanced documentation and assertions for better test clarity
- Total: 18 comprehensive integration tests

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* docs: add comprehensive Moka test suite documentation

- Complete test suite documentation for all 18 tests
- Detailed test patterns and best practices for Moka
- Debugging guide for common test failures
- Performance expectations and CI integration
- 100% API coverage validation
- Future enhancement roadmap

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fmt

* docs: enhance code comments and test documentation throughout

- Significantly improve module-level documentation in concurrency.rs
- Add detailed explanations of performance characteristics and expected improvements
- Document the solution to issue #911 with before/after metrics
- Enhance constant documentation with purpose and impact explanations
- Add comprehensive RAII guard documentation with thread safety notes
- Improve test documentation with detailed test strategy and rationale
- Add Moka-specific test patterns and timing guidance
- Include performance expectations for each test category
- Document why each test matters for solving the original issue
- All documentation written in professional English
- Follow Rust documentation best practices with examples

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* remove lru crate

* upgrade version

* fix: resolve test errors by correcting module structure and test assertions

- Fix test import paths to use crate:: instead of rustfs:: (binary-only crate)
- Keep test file in src/storage/ instead of tests/ (no lib.rs exists)
- Add #[cfg(test)] guard to mod declaration in storage/mod.rs
- Fix Arc type annotations for Moka's ConcurrencyManager in concurrent tests
- Correct test_buffer_size_bounds assertions to match actual implementation:
  * Minimum buffer is 32KB for files <100KB, 64KB otherwise
  * Maximum buffer respects base_buffer_size when concurrency is low
  * Buffer sizing doesn't cap at file size, only at min/max constraints
- All 17 integration tests now pass successfully

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix: modify `TimeoutLayer::new` to `TimeoutLayer::with_status_code` and improve docker health check

* fix

* feat: implement cache writeback for small objects in GetObject

- Add cache writeback logic for objects meeting caching criteria:
  * No range/part request (full object retrieval)
  * Object size known and <= 10MB (max_object_size threshold)
  * Not encrypted (SSE-C or managed encryption)
- Read eligible objects into memory and cache via background task
- Serve response from in-memory data for immediate client response
- Add metrics counter for cache writeback operations
- Add 3 new tests for cache writeback functionality:
  * test_cache_writeback_flow - validates round-trip caching
  * test_cache_writeback_size_limit - ensures large objects aren't cached
  * test_cache_writeback_concurrent - validates thread-safe concurrent writes
- Update test suite documentation (now 20 comprehensive tests)

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* improve code for const

* cargo clippy

* feat: add cache enable/disable configuration via environment variable

- Add is_cache_enabled() method to ConcurrencyManager
- Read RUSTFS_OBJECT_CACHE_ENABLE env var (default: false) at startup
- Update ecfs.rs to check is_cache_enabled() before cache lookup and writeback
- Cache lookup and writeback now respect the enable flag
- Add test_cache_enable_configuration test
- Constants already exist in rustfs_config:
  * ENV_OBJECT_CACHE_ENABLE = "RUSTFS_OBJECT_CACHE_ENABLE"
  * DEFAULT_OBJECT_CACHE_ENABLE = false
- Total: 21 comprehensive tests passing

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fmt

* fix

* fix

* feat: implement comprehensive CachedGetObject response cache with metadata

- Add CachedGetObject struct with full response metadata fields:
  * body, content_length, content_type, e_tag, last_modified
  * expires, cache_control, content_disposition, content_encoding
  * storage_class, version_id, delete_marker, tag_count, etc.
- Add dual cache architecture in HotObjectCache:
  * Legacy simple byte cache for backward compatibility
  * New response cache for complete GetObject responses
- Add ConcurrencyManager methods for response caching:
  * get_cached_object() - retrieve cached response with metadata
  * put_cached_object() - store complete response
  * invalidate_cache() - invalidate on write operations
  * invalidate_cache_versioned() - invalidate both version and latest
  * make_cache_key() - generate cache keys with version support
  * max_object_size() - get cache threshold
- Add builder pattern for CachedGetObject construction
- Add 6 new tests for response cache functionality (27 total):
  * test_cached_get_object_basic - basic operations
  * test_cached_get_object_versioned - version key handling
  * test_cache_invalidation - write operation invalidation
  * test_cache_invalidation_versioned - versioned invalidation
  * test_cached_get_object_size_limit - size enforcement
  * test_max_object_size - threshold accessor

All 27 tests pass successfully.

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* feat: integrate CachedGetObject cache in ecfs.rs with full metadata and cache invalidation

Integration of CachedGetObject response cache in ecfs.rs:
1. get_object: Cache lookup uses get_cached_object() with full metadata
   - Returns complete response with e_tag, last_modified, content_type, etc.
   - Parses last_modified from RFC3339 string
   - Supports versioned cache keys via make_cache_key()

2. get_object: Cache writeback uses put_cached_object() with metadata
   - Stores content_type, e_tag, last_modified in CachedGetObject
   - Background writeback via tokio::spawn()

3. Cache invalidation added to write operations:
   - put_object: invalidate_cache_versioned() after store.put_object()
   - put_object_extract: invalidate_cache_versioned() after each file extraction
   - copy_object: invalidate_cache_versioned() after store.copy_object()
   - delete_object: invalidate_cache_versioned() after store.delete_object()
   - delete_objects: invalidate_cache_versioned() for each deleted object
   - complete_multipart_upload: invalidate_cache_versioned() after completion

4. Fixed test_adaptive_buffer_sizing to be more robust with parallel tests

All 27 tests pass.

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix: add error logging for time parsing in cache lookup and writeback

- Add warning log when RFC3339 parsing fails in cache lookup
- Add warning log when time formatting fails in cache writeback
- Improves debugging for cache-related issues

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fix

* upgrade version

* fmt

* add http: 4138 and add max_object_size key

* fix

* fix

* fix

* modify metrics key

* add

* upgrade crates version and improve docker observability

* feat: implement adaptive I/O strategy based on disk permit wait time

Implements adaptive I/O strategy for GetObject operations based on disk permit
wait times, as requested in issue #911.

Key changes:

1. New types in concurrency.rs:
   - IoLoadLevel enum: Low (<10ms), Medium (10-50ms), High (50-200ms), Critical (>200ms)
   - IoStrategy struct: contains optimized I/O parameters based on load level
   - IoLoadMetrics: rolling window metrics for load tracking

2. New ConcurrencyManager methods:
   - calculate_io_strategy(): calculates adaptive strategy from permit wait duration
   - record_permit_wait(): records observation for load tracking
   - smoothed_load_level(): returns averaged load level for stability
   - io_load_stats(): returns (avg_wait, p95_wait, max_wait, count) for monitoring
   - adaptive_buffer_size(): convenience method for buffer sizing

3. Integration in ecfs.rs get_object:
   - Calculate IoStrategy after acquiring disk permit
   - Use strategy buffer_size instead of static sizing
   - Consider strategy.cache_writeback_enabled in cache decision
   - Record new metrics: io.load.level gauge, io.buffer.multiplier gauge,
     io.strategy.selected counter by load level

4. New tests (4 added, 31 total):
   - test_io_load_level_classification: validates load level thresholds
   - test_io_strategy_buffer_sizing: validates buffer multipliers
   - test_calculate_io_strategy: validates manager strategy calculation
   - test_io_load_stats: validates stats tracking

All 31 tests pass. Clippy clean. Formatted.

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* fix

* docs: add comprehensive architecture design and fix cache hit event notification

1. Added CONCURRENCY_ARCHITECTURE.md with complete design documentation:
   - Executive summary and problem statement
   - Architecture overview with request flow diagram
   - Detailed module analysis for concurrency.rs and ecfs.rs
   - Critical analysis of helper.complete() for cache hits
   - Adaptive I/O strategy design with algorithm
   - Cache architecture with CachedGetObject structure
   - Metrics and monitoring with Prometheus queries
   - Performance characteristics and future enhancements

2. Fixed critical issue: Cache hit path now calls helper.complete()
   - S3 bucket notifications (s3:GetObject events) now trigger for cache hits
   - Event-driven workflows (Lambda, SNS) work correctly for all object access
   - Maintains audit trail for both cache hits and misses

All 31 tests pass.

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix: set object info and version_id on helper before complete() for cache hits

When serving from cache, properly configure the OperationHelper before
calling complete() to ensure S3 bucket notifications include complete
object metadata:

1. Build ObjectInfo from cached metadata:
   - bucket, name, size, actual_size
   - etag, mod_time, version_id, delete_marker
   - storage_class, content_type, content_encoding
   - user_metadata (user_defined)

2. Set helper.object(event_info).version_id(version_id_str) before complete()

3. Updated CONCURRENCY_ARCHITECTURE.md with:
   - Complete code example for cache hit event notification
   - Explanation of why ObjectInfo is required
   - Documentation of version_id handling

This ensures:
- Lambda triggers receive proper object metadata for cache hits
- SNS/SQS notifications include complete information
- Audit logs contain accurate object details
- Version-specific event routing works correctly

All 31 tests pass.

Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>

* fix

* improve code

* fmt

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: houseme <4829346+houseme@users.noreply.github.com>
Co-authored-by: houseme <housemecn@gmail.com>
2025-11-30 01:16:55 +08:00
..
2025-04-29 09:10:03 +08:00

Observability

This directory contains the observability stack for the application. The stack is composed of the following components:

  • Prometheus v3.2.1
  • Grafana 11.6.0
  • Loki 3.4.2
  • Jaeger 2.4.0
  • Otel Collector 0.120.0 # 0.121.0 remove loki

Prometheus

Prometheus is a monitoring and alerting toolkit. It scrapes metrics from instrumented jobs, either directly or via an intermediary push gateway for short-lived jobs. It stores all scraped samples locally and runs rules over this data to either aggregate and record new time series from existing data or generate alerts. Grafana or other API consumers can be used to visualize the collected data.

Grafana

Grafana is a multi-platform open-source analytics and interactive visualization web application. It provides charts, graphs, and alerts for the web when connected to supported data sources.

Loki

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost-effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream.

Jaeger

Jaeger is a distributed tracing system released as open source by Uber Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems, including:

  • Distributed context propagation
  • Distributed transaction monitoring
  • Root cause analysis
  • Service dependency analysis
  • Performance / latency optimization

Otel Collector

The OpenTelemetry Collector offers a vendor-agnostic implementation on how to receive, process, and export telemetry data. It removes the need to run, operate, and maintain multiple agents/collectors in order to support open-source observability data formats (e.g. Jaeger, Prometheus, etc.) sending to one or more open-source or commercial back-ends.

How to use

To deploy the observability stack, run the following command:

  • docker latest version
docker compose -f docker-compose.yml -f docker-compose.override.yml up -d
  • docker compose v2.0.0 or before
docke-compose -f docker-compose.yml -f docker-compose.override.yml up -d

To access the Grafana dashboard, navigate to http://localhost:3000 in your browser. The default username and password are admin and admin, respectively.

To access the Jaeger dashboard, navigate to http://localhost:16686 in your browser.

To access the Prometheus dashboard, navigate to http://localhost:9090 in your browser.

How to stop

To stop the observability stack, run the following command:

docker compose -f docker-compose.yml -f docker-compose.override.yml down

How to remove data

To remove the data generated by the observability stack, run the following command:

docker compose -f docker-compose.yml -f docker-compose.override.yml down -v

How to configure

To configure the observability stack, modify the docker-compose.override.yml file. The file contains the following

services:
  prometheus:
    environment:
      - PROMETHEUS_CONFIG_FILE=/etc/prometheus/prometheus.yml
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml

  grafana:
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin
    volumes:
      - ./grafana/provisioning:/etc/grafana/provisioning

The prometheus service mounts the prometheus.yml file to /etc/prometheus/prometheus.yml. The grafana service mounts the grafana/provisioning directory to /etc/grafana/provisioning. You can modify these files to configure the observability stack.