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    Observability & FinOps

    Gain complete visibility into your systems and costs with integrated monitoring, logging, tracing, and cloud cost optimization.

    Key Benefits

    What you'll gain from our Observability & FinOps services

    Faster Incident Resolution

    Reduce MTTR by 70% with distributed tracing and intelligent alerting

    Proactive Reliability

    Catch issues before users notice with SLOs and error budgets

    Cost Visibility

    Understand cloud spend by team, service, and feature with granular tagging

    Cost Optimization

    Reduce cloud bills by 30-50% with rightsizing and waste elimination

    Data-Driven Decisions

    Make capacity planning and architecture choices based on real telemetry

    Team Accountability

    Align engineering incentives with business outcomes through cost allocation

    What We Deliver

    Our comprehensive approach to Observability & FinOps

    Observability Stack

    Unified platform for metrics, logs, and traces with correlation and visualization

    SLO Framework

    Service-level objectives with error budgets and automated alerting

    Custom Dashboards

    Business and technical dashboards showing KPIs, costs, and system health

    Cost Allocation

    Tag strategy and showback reports attributing costs to teams and products

    Optimization Recommendations

    Weekly reports with specific actions to reduce costs and improve performance

    On-Call Runbooks

    Step-by-step guides for common incidents with automated remediation where possible

    Technologies & Tools

    We work with industry-leading technologies

    Datadog
    New Relic
    Grafana
    Prometheus
    Jaeger
    OpenTelemetry
    ELK Stack
    Splunk
    CloudWatch
    Azure Monitor
    Kubecost
    CloudHealth
    Apptio
    Vantage
    PagerDuty

    Common Use Cases

    How organizations leverage our Observability & FinOps expertise

    SaaS Platform Monitoring

    Real-time dashboards showing API latency, error rates, and user experience metrics

    Tighter error budgets and clearer ownership between services and dependencies

    Cloud Cost Optimization

    Identify idle resources, rightsized instances, and negotiated reserved capacity

    Sustained waste reduction when cost ownership is paired with engineering incentives

    Microservices Tracing

    Distributed tracing across 50+ services to debug complex failure modes

    Cut investigation time from hours to minutes

    Capacity Planning

    Predictive models for infrastructure growth based on business metrics

    Right-sized capacity commitments after continuous visibility into utilization

    Who this is for

    Typical teams and stages where this service creates the most leverage.

    • Engineering leaders balancing reliability commitments with cloud budget pressure
    • SRE or platform teams modernizing metrics, traces, and cost allocation

    Before / After

    Illustrative pattern—not a guarantee of any single client outcome.

    Before

    Alerts that page humans without context; cloud spend opaque to product teams.

    After

    SLO-driven alerting, useful tracing, and showback/chargeback that engineers actually use.

    Engagement timeline

    What a focused engagement often looks like week by week.

    Week 1

    Signal audit

    Golden signals, noisy alerts, top cost drivers.

    Week 2

    SLO design

    Error budgets, burn alerts, ownership mapping.

    Weeks 3–5

    Implement & tune

    Dashboards, tracing, cost views, playbooks.

    Ongoing

    Governance

    Monthly review of budgets vs reliability tradeoffs.

    Ready to Get Started?

    Let's discuss how our Observability & FinOps services can transform your operations

    Book a Free Consultation
    Observability & FinOps | Professional Services | SystimaNX