Monitoring & Observability Setup
Complete observability stack for modern production systems
We design and implement end-to-end observability systems that give engineering teams full 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 — enabling faster incident detection, root-cause analysis, and predictable operations at scale.
When Monitoring & Observability Is Needed
Teams typically reach out when:
Observability replaces guesswork with 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 based on symptoms, not 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
- •Reduced MTTR
- •Fewer false positives
Scalability & Reliability Support
- •Monitoring for autoscaling systems
- •High-availability and failover visibility
- •Capacity planning insights
Technologies We Use
Our Observability Setup Process
Observability Audit
We analyze existing monitoring, logs, alerts, and blind spots.
Architecture & Standards
Clear observability design aligned with SLOs and business impact.
Implementation
Metrics, logs, traces, dashboards, and alerting pipelines.
Enablement
Runbooks, training, and handover for engineering and on-call teams.
What You Gain
Relevant Experience
Engagement Models
Related Services
Start with an Observability Audit
Most teams begin with an Observability Audit to identify blind spots and quick wins.
FAQ
What's the difference between monitoring and observability?
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.
Which observability tools do you use?
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.
How do you reduce alert fatigue?
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.
Can you work with our existing monitoring tools?
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.
How long does observability setup take?
A basic observability setup with metrics, logs, and dashboards typically takes 2-4 weeks. A comprehensive observability stack with distributed tracing, advanced alerting, and full correlation can take 6-12 weeks. We start with an audit to identify priorities and quick wins.
Related Services
We provide monitoring and observability setup services for businesses across Germany. Our Berlin-based team specializes in metrics, logs, tracing, alerting, dashboards, and complete observability stacks for production systems.