Services
Monitoring & Observability
We implement metrics, logs, and traces people actually look at: signal, not noise.
Talk to us about monitoring & observabilityMonitoring & Observability services we provide
Infrastructure monitoring
Resource usage, network performance, and system availability tracked across compute, storage, and networking, so issues surface before they impact operations.
Application performance monitoring
Application metrics, error rates, and response times monitored to catch performance bottlenecks before they reach real users.
Distributed tracing
End-to-end request tracing across every service in the path, so root-causing a slow request takes minutes, not an afternoon.
Log management
Centralized log aggregation and search across your entire stack, replacing manual log-diving across dozens of services.
SLI/SLO-driven alerting
Alerts tied to error budgets and user-facing symptoms, not arbitrary thresholds, so on-call pages on what matters.
Incident-ready dashboards
Dashboards built around the questions you actually ask during an incident, not a generic template.
Benefits of monitoring & observability
Early detection
Bottlenecks, memory leaks, and capacity constraints caught before they escalate into customer-facing incidents.
Service reliability
SLO-based alerting catches degradation trends before they breach uptime targets.
Faster troubleshooting
Correlated logs, traces, and dashboards let engineers pinpoint root cause across microservices in minutes, not hours.
Faster incident response
Alerts route to the right on-call engineer with the right context, cutting time to resolution.
Stronger security posture
The same telemetry pipeline flags anomalous access patterns, complementing dedicated security monitoring.
Better customer experience
Performance issues addressed before users notice them, protecting retention and trust.
Challenges we solve
Alert fatigue
Too many low-value alerts train on-call engineers to ignore all of them.
Our solution
Alerts tied to SLOs and user-facing symptoms, so you page on what matters.
Blind spots in production
No tracing means root-causing a slow request takes an afternoon.
Our solution
End-to-end distributed tracing across every service in the request path.
Dashboards nobody checks
Generic dashboards don't answer the questions you actually ask during an incident.
Our solution
Dashboards built around your real failure modes, not a template.
The observability journey
01
Assessment
Current monitoring gaps, alert fatigue, and blind spots mapped before anything changes.
02
Instrumentation
Metrics, logs, and traces wired in with OpenTelemetry, consistent across every service.
03
Dashboards & alerting
Dashboards and SLO-based alerts built around your real failure modes, not a generic template.
04
Validation
Tuned against real incidents before it's trusted to page anyone.
05
Continuous refinement
Alert thresholds and dashboards revisited as your architecture changes, so coverage doesn't quietly degrade.
Observability stack options
Prometheus & Grafana
The industry-standard open-source stack for metrics collection, alerting, and visualization, full control without vendor lock-in.
ELK / OpenSearch stack
Elasticsearch, Logstash, and Kibana, or OpenSearch, for centralized log aggregation, search, and analysis at scale.
Cloud-native monitoring
CloudWatch and Azure Monitor, when you'd rather not run and patch the monitoring stack yourself.
Managed observability platforms
Datadog, New Relic, or Grafana Cloud, for teams that want less operational overhead in exchange for a subscription.
OpenTelemetry instrumentation
Vendor-neutral tracing and metrics instrumentation, so you're not locked into one backend as your stack evolves.
AIOps & intelligent alerting
Anomaly detection on learned baselines instead of static thresholds, cutting duplicate and low-value pages.
Ready to start your monitoring & observability?
We'll assess what you're running before proposing anything, not the other way around.
Talk to an ExpertWhat you can count on
Not client-average numbers, commitments built into how every engagement is run.
Signal
Alerts tied to SLOs, not arbitrary thresholds
Minutes
Not hours, to pinpoint root cause with correlated telemetry
Built-in
Dashboards designed around your real failure modes
Ongoing
Review cadence so alert coverage doesn't quietly degrade
FAQ
Frequently asked questions
Do you work with our existing observability stack?+
Yes, Prometheus, Grafana, Datadog, New Relic, and OpenTelemetry.
Can you reduce alert fatigue on our on-call team?+
Yes, alert tuning and SLO-based paging is one of our most common engagements.
Do you only work with AWS?+
No, the same approach applies across AWS and Azure.
Can you help us adopt OpenTelemetry if we're not using it today?+
Yes, instrumentation is often part of the same engagement, rolled out incrementally so existing dashboards keep working.