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DevOps & Automation

Observability (Monitoring & Logging)

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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Observability (Monitoring & Logging)
80%
Faster Releases
99.9%
Deploy Success
Zero-Downtime
Deploys
Full
Observability
Service Category
Observability Engineering
Ideal For
Teams needing production visibility — metrics, logs, traces, and actionable alerting for reliable operations.
Timeline
2 – 6 weeks

Why Choose MicrocosmWorks for Observability?

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.

Our Observability Capabilities

  • Metrics & Dashboards — Implement application and infrastructure metrics with Prometheus/Grafana dashboards that tell the story of your system's health.
  • Distributed Tracing — Deploy end-to-end request tracing across services with Jaeger or Tempo for debugging latency and understanding request flows.
  • Centralized Logging — Set up structured logging with ELK, Loki, or cloud-native solutions for fast searching and correlation across services.
  • Alerting Design — Create actionable alerts based on SLOs that reduce noise, eliminate false positives, and route to the right team at the right severity.
  • SLO Definition — Define Service Level Objectives that align monitoring with business requirements and create error budgets for deployment decisions.
  • Incident Response — Set up on-call tooling, incident management workflows, and post-mortem processes for continuous reliability improvement.

Technology Stack

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.

Who This Is For

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.

Our Process

1

Observability Assessment

Audit current monitoring gaps, identify critical services, and define observability requirements.

2

Instrumentation

Add metrics, structured logging, and tracing to applications using OpenTelemetry or native SDKs.

3

Platform Deployment

Deploy monitoring stack — metrics collection, log aggregation, trace storage, and dashboards.

4

Alerting & SLOs

Define SLOs, create alert rules based on burn rates, and configure escalation policies.

5

Operational Practices

Establish on-call processes, incident workflows, post-mortem templates, and dashboard review cadences.

Technology Stack

Metrics

PrometheusGrafanaDataDogCloudWatchStatsD

Logging

LokiElasticsearchFluentdVectorCloudWatch Logs

Tracing

JaegerTempoOpenTelemetryZipkinX-Ray

Alerting

PagerDutyOpsGenieGrafana AlertsSLO Burn Rate

Industries We Serve

SaaSFinTechEnterpriseE-CommerceHealthcareMedia

Ready to See Into Your Systems?

Let's implement observability that gives you real-time insight and catches issues before users do.

Frequently Asked Questions

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.

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