Observability & AIOps
Go beyond traditional monitoring with AI-powered complete observability. Automatic correlation of logs, metrics, and distributed traces. Intelligent root cause analysis, anomaly detection, predictive alerts, and auto-remediation. End-to-end visibility in complex microservices and cloud-native architectures.
Process
Our Methodology
We follow a structured process to ensure exceptional results at every stage of the project.
Observability Assessment
Current monitoring audit, blind spot identification, architecture analysis, and definition of critical observability KPIs.
Instrumentation Strategy
Telemetry strategy definition, tool selection (Prometheus, Grafana, ELK, Datadog), instrumentation plan, and correlation IDs.
Implementation & Integration
Distributed tracing implementation, log aggregation, metrics collection, APM (Application Performance Monitoring), and real user monitoring.
AI-Powered Analytics
Machine learning for anomaly detection, automatic baseline of normal performance, pattern recognition, and predictive alerting.
Automation & Remediation
Automated runbooks, auto-remediation for known issues, chaos engineering, and incident response orchestration.
Continuous Improvement
SLO/SLI tracking, blameless postmortems, trend-based capacity planning, and continuous performance optimization.
Benefits
Why Choose This Service
Discover the competitive advantages we offer.
- /01
Dramatically Reduced MTTR
Mean Time To Resolution drops substantially with automated root cause analysis. Troubleshooting that took hours now takes minutes with intelligent correlation.
- /02
Proactive Problem Detection
AI detects anomalies before impacting users. Predictive alerts enable preventive action. Zero-surprise incidents with continuous intelligent monitoring.
- /03
End-to-End Visibility
Distributed tracing reveals complete request journey through microservices. Automatic dependency mapping. Deep understanding of system behavior.
- /04
Alert Fatigue Reduction
Smart alerting eliminates false positives. Automatic correlation reduces noise. Teams focus on real incidents, not meaningless alerts.
- /05
Data-Driven Optimization
Performance decisions based on real data, not intuition. Precise capacity planning. Measurable ROI of infrastructure optimizations.
Technologies
Tools and Platforms
We use the most modern and established technologies on the market.
FAQs
Frequently Asked Questions
Have questions? We're here to help.
Monitoring: 'is the system up or down?'. Observability: 'why is it slow?' and 'what caused this error?'. Observability enables debugging of unknown unknowns.
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