Autonomous Cloud Edge Observability Mesh
Automated telemetry collection, log parsing, and metric aggregation for distributed microservices.
System Context & Operational Scope
An automated observability platform consolidating logs, distributed traces, and Kubernetes pod health metrics into actionable incident triage summaries.
Platform teams were overwhelmed by millions of raw log lines during outages, requiring over 45 minutes of manual log searching to locate root causes.
Core Engineering Objectives
- Ingest, parse, and index 100GB of daily logs with zero query delay.
- Correlate OpenTelemetry traces automatically with error stacktraces.
- Automate root-cause grouping using semantic clustering.
Verified Performance Metrics
Technologies Used
Architectural Strategy
Deployed OpenTelemetry daemonsets streaming into ClickHouse columnar storage, paired with an automated clustering algorithm grouping correlated exceptions.
Implementation Details
A single-pane-of-glass dashboard displaying real-time service dependency graphs, error budgets, and correlated log traces.
Capabilities
Key Architecture Features
Specific technical capabilities built into this platform to ensure reliability and performance.
Live distributed trace flamegraphs with sub-millisecond drilldown
ClickHouse columnar database indexing billions of log rows per second
Automated Slack alerting with AI-generated incident summarization
Zero-instrumentation eBPF network probe integration
Mean time to root cause identification (MTTD) dropped from 48 minutes to 3.5 minutes across production clusters.
Have a Technical Project in Mind?
Discuss your requirements with our architects. We will provide practical guidance on tech stacks, timelines, and implementation feasibility.