What We Build With It
We engineer comprehensive observability solutions that provide unparalleled visibility into your distributed systems.
Metrics, Dashboards & Intelligent Alerting
Unified pipelines for metrics collection paired with intuitive dashboards and SLO-based alerting to identify issues before they impact users.
End-to-End Distributed Tracing
Deploying tracing solutions that provide full visibility into request flows across microservices, identifying latency bottlenecks and error origins in complex architectures.
Centralized Log Management & Analysis
Aggregating logs from all services into a central platform, enabling efficient search, filtering, and pattern analysis for rapid troubleshooting and security forensics.
Why Our Approach Works
A deeply observable system is a reliable system, translating directly into business continuity and engineering efficiency.
Faster Incident Resolution (Reduced MTTR)
With full visibility, your on-call teams can quickly pinpoint the root cause of issues, drastically reducing Mean Time To Resolution (MTTR) and minimizing downtime.
Proactive Problem Identification
Shift from reactive firefighting to proactive problem solving. Identify performance bottlenecks, impending failures, and emerging issues before they impact end-users.
Data-Driven Engineering Decisions
Empower your teams with the data needed to make informed architectural choices, optimize resource utilization, and improve application performance.
Our Go-To Stack for Observability Engineering
We leverage best-in-class open-source and commercial tools to build integrated, scalable observability platforms.
Metrics
Prometheus, Grafana, Datadog, New Relic for time-series data collection and visualization.
Tracing
Jaeger, OpenTelemetry, Zipkin for distributed request tracing across microservices.
Logging
Elastic Stack (Elasticsearch, Logstash, Kibana), Loki, Splunk for centralized log management and analysis.
Alerting & On-Call
Alertmanager, PagerDuty, Opsgenie for intelligent alert routing and incident notification.
Cloud Native Services
AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite for native cloud visibility.
Error Tracking & Profiling
Sentry, Rollbar, and Pyroscope for granular exception tracking and continuous code profiling in production.
Frequently Asked Questions
What's the difference between monitoring and observability?
+Monitoring tells you if a predefined metric is outside a normal range. Observability allows you to explore and understand why your system is behaving a certain way, even for conditions you haven’t seen before, using metrics, logs, and traces.
How do you avoid 'alert fatigue'?
+We focus on alerting on Service Level Objectives (SLOs) rather than just system health metrics. This means you only get alerted when customer experience is truly impacted. We also implement sophisticated alert routing, deduplication, and escalation policies.
Can observability help with security?
+Absolutely. Integrated logging and tracing provide invaluable data for security forensics and incident response. Anomalies in system behavior or unusual access patterns can be quickly identified and investigated.
What is OpenTelemetry and why should we use it?
+OpenTelemetry is an open-source standard for collecting traces, metrics, and logs. It prevents vendor lock-in by providing a single, vendor-neutral way to instrument your code, allowing you to switch observability backends (e.g., from Datadog to Honeycomb) without changing your application.
How do you handle the cost of high-volume tracing data?
+We implement ‘intelligent sampling’ strategies. Instead of keeping 100% of traces, we keep all errors and a statistically significant sample of successful requests, giving you deep visibility without the astronomical storage costs.
What is 'Business Observability'?
+Business observability connects technical metrics (like latency) to business outcomes (like checkout conversions). We build dashboards that show how system performance directly impacts your bottom line, helping you prioritize engineering efforts based on business value.