Full observability implementation — monitoring, logging, tracing, and alerting. We give you complete visibility into your systems so you can detect and resolve issues fast.
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You can't fix what you can't see. We implement comprehensive observability that gives your team real-time insight into system health, performance, and user experience. Metrics, logs, and traces combined into actionable dashboards with intelligent alerting that catches issues before your users do.
We implement with the best tools for your environment: Prometheus + Grafana for metrics, Loki or ELK for logs, Jaeger or Tempo for traces, and PagerDuty or OpsGenie for alerting. OpenTelemetry provides vendor-neutral instrumentation that avoids lock-in.
Teams operating production systems without adequate visibility — flying blind during incidents, unable to answer "is the system healthy?", or drowning in alert noise. Whether you need observability from scratch or want to improve an existing setup that isn't providing actionable insight, we deliver clarity.
Audit current monitoring gaps, identify critical services, and define observability requirements.
Add metrics, structured logging, and tracing to applications using OpenTelemetry or native SDKs.
Deploy monitoring stack — metrics collection, log aggregation, trace storage, and dashboards.
Define SLOs, create alert rules based on burn rates, and configure escalation policies.
Establish on-call processes, incident workflows, post-mortem templates, and dashboard review cadences.
Let's implement observability that gives you real-time insight and catches issues before users do.
We implement the three pillars of observability: metrics with Prometheus and Grafana, logs with the ELK stack or Loki, and traces with Jaeger or Tempo. For managed solutions, we configure Datadog, New Relic, or AWS CloudWatch.
Observability and monitoring implementation at MicrocosmWorks ranges from $20-$45/hour, covering instrumentation, dashboard creation, alerting rules, and log aggregation pipeline setup.
Yes, we instrument your microservices with OpenTelemetry for vendor-neutral distributed tracing, configure trace propagation across service boundaries, and build trace-based dashboards that show request flow and latency breakdowns.
We define SLOs and error budgets, create tiered alerting with severity levels, implement alert deduplication and grouping, set appropriate thresholds based on historical data, and route alerts to the right teams via PagerDuty or Opsgenie.
Yes, we implement structured JSON logging across your applications, configure centralized log aggregation, build log-based dashboards and alerts, and set up log retention policies that balance debugging capability with storage costs.