Build comprehensive observability platforms with Prometheus, Grafana, ELK Stack, and OpenTelemetry. Monitor, trace, and analyze your entire infrastructure and applications with unified visibility and intelligent alerting.
Explore Observability SolutionsTime-series data that provides quantitative measurements of system performance and behavior
Key Tools:
Examples:
Typical Retention:
1-5 years
Structured and unstructured event data that captures what happened in your systems
Key Tools:
Examples:
Typical Retention:
30-90 days
Distributed traces that show the journey of requests through microservices architectures
Key Tools:
Examples:
Typical Retention:
7-30 days
Discrete occurrences in time that represent changes in system state or user actions
Key Tools:
Examples:
Typical Retention:
90-365 days
Agents and collectors that gather telemetry data from applications and infrastructure
OpenTelemetry
Standard
Unified instrumentation framework
Prometheus Node Exporter
Agent
System metrics collection
Filebeat
Agent
Log shipping and forwarding
Jaeger Agent
Agent
Trace collection and batching
Systems that transform, enrich, and route telemetry data to storage backends
Logstash
Processor
Log processing and transformation
Vector
Processor
High-performance data pipeline
OpenTelemetry Collector
Processor
Telemetry data processing
Telegraf
Processor
Metrics processing and routing
Databases and time-series stores optimized for different types of observability data
Prometheus
TSDB
Metrics storage and querying
Elasticsearch
Search Engine
Log storage and search
Jaeger Backend
Trace DB
Trace storage and retrieval
InfluxDB
TSDB
Time-series data storage
Dashboards and interfaces for exploring and analyzing observability data
Grafana
Dashboard
Metrics visualization and dashboards
Kibana
Analytics
Log exploration and analytics
Jaeger UI
Trace UI
Trace visualization and analysis
Chronograf
Dashboard
InfluxDB data visualization
Monitor Request rate, Error rate, and Duration for service-oriented architectures
Key Metrics:
Recommended Tools:
Best For:
Microservices and web applications
Monitor Utilization, Saturation, and Errors for infrastructure resources
Key Metrics:
Recommended Tools:
Best For:
Infrastructure and system monitoring
Google's approach focusing on Latency, Traffic, Errors, and Saturation
Key Metrics:
Recommended Tools:
Best For:
Large-scale distributed systems
Service Level Indicators and Objectives for reliability engineering
Key Metrics:
Recommended Tools:
Best For:
Production systems with reliability requirements
Systematic approach to investigating and resolving performance issues
Investigation Steps:
Tools Used:
Expected Resolution Time:
15-30 minutes
Quick identification and resolution of error rate increases
Investigation Steps:
Tools Used:
Expected Resolution Time:
10-20 minutes
Complete service failure investigation and recovery process
Investigation Steps:
Tools Used:
Expected Resolution Time:
5-15 minutes for detection
Investigating and resolving resource capacity issues
Investigation Steps:
Tools Used:
Expected Resolution Time:
20-45 minutes
Optimize storage costs through intelligent data lifecycle management
Optimization Strategies:
Tools & Technologies:
Potential Savings:
Up to 70% storage cost reduction
Reduce compute costs through optimized query patterns and indexing
Optimization Strategies:
Tools & Technologies:
Potential Savings:
Up to 50% query cost reduction
Optimize infrastructure costs based on actual usage patterns
Optimization Strategies:
Tools & Technologies:
Potential Savings:
Up to 40% infrastructure cost reduction
Reduce data volume while maintaining observability quality
Optimization Strategies:
Tools & Technologies:
Potential Savings:
Up to 80% data volume reduction
Transform your monitoring and troubleshooting capabilities with a comprehensive observability platform. Our experts will design and implement solutions that provide complete visibility into your systems.
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