Monitoring & Observability Setup
Complete observability stack for modern production systems
We design and implement end-to-end observability systems that give engineering teams deep visibility into how their infrastructure and applications behave in production. Our monitoring and observability setups combine metrics, logs, traces, and alerts into a single, actionable system — supporting earlier incident detection, structured root-cause analysis, and more predictable operations at scale.
When Monitoring & Observability Is Needed
Teams typically reach out when:
Observability reduces guesswork by providing structured operational clarity.
What We Deliver
Metrics & Monitoring
- System and application metrics
- SLO-aligned KPIs
- Capacity and performance indicators
Centralized Logging
- Structured, searchable logs
- Log retention and indexing strategy
- Correlation with metrics and traces
Distributed Tracing
- Request-level visibility across services
- Latency and dependency analysis
- Bottleneck identification in microservices
Alerting & Incident Signals
- Alerting designed to focus on user-impacting symptoms rather than alert noise
- SLO-driven alert thresholds
- Escalation and notification workflows
Core Capabilities
Observability Architecture Design
Unified metrics, logs, and traces, Clear ownership and naming standards, Scalable and cost-efficient setups.
Production Dashboards
Service health dashboards, Business-critical views for leadership, On-call-friendly layouts.
Incident Detection & Debugging
Fast root-cause analysis, Support for reduced mean time to recovery (MTTR), Fewer false positives.
Scalability & Reliability Support
Monitoring for autoscaling systems, Visibility into high-availability setups and failover behavior, Capacity planning insights.
Technologies We Use
Prometheus & Alertmanager, Grafana dashboards, Loki / ELK / OpenSearch, OpenTelemetry, Tempo / Jaeger, Cloud-native monitoring (AWS, GCP, Azure)
Our Observability Setup Process
What You Gain
Results we're
proud to show
Engagement Models
Related Services
FAQ
Monitoring focuses on known metrics and alerts. Observability goes further — it's the ability to understand system behavior from the outside by asking questions you didn't know to ask upfront. Observability combines metrics, logs, and traces to enable deep debugging and understanding of complex systems.
We work with the modern observability stack: Prometheus for metrics, Grafana for dashboards, Loki or ELK for logs, OpenTelemetry for instrumentation, and Tempo or Jaeger for distributed tracing. We also integrate with cloud-native monitoring (AWS CloudWatch, GCP Monitoring, Azure Monitor) when appropriate.
We design alerting based on symptoms (user impact) rather than low-level metrics. We use SLO-driven thresholds, alert grouping, and escalation policies. We also implement alerting that focuses on actionable signals — alerts that require immediate response, not just information.
Yes — we integrate with existing tools (Datadog, New Relic, Splunk, etc.) and enhance them with structured logging, distributed tracing, and better alerting. We can also set up new observability stacks if you're starting fresh or need to modernize.
A basic observability setup with metrics, logs, and dashboards often takes several weeks, depending on system scope and maturity. A comprehensive observability stack with distributed tracing, advanced alerting, and full correlation can take several months. We start with an audit to identify priorities and quick wins.
Observability outcomes depend on system architecture, workload characteristics, and operational maturity. Described capabilities represent established industry practices, not guaranteed detection or resolution times.
Monitoring and observability setup for companies operating production systems. We support organizations with observability stacks, metrics, logging, and monitoring based on the specific technical and regulatory context of each project. All services are delivered individually and depend on system requirements and constraints.