Monitoring &
Observability
Dashboards tell you something broke. Observability tells you why. We instrument your whole stack with metrics, logs, and traces so any question about production has an answer in seconds, not a war room.
Three Signals, One Story.
Metrics, logs, and traces each answer a different question. Their real power is correlation, jumping from a spike on a graph to the exact trace and log line behind it.
Metrics
What is happening, and how much?
Cheap, aggregated numbers over time. Perfect for dashboards, trends, and alerting on the whole fleet at once.
Logs
What exactly happened here?
High-detail, structured events with full context. The ground truth you read when a metric tells you something is wrong.
Traces
Where did the time go?
The path of a single request across every service, with timing at each hop. This is how you find the slow span in a chain of twelve.
Four Numbers That Tell The Truth.
Ignore the vanity metrics. These four, watched together, catch almost every user-facing problem, and they are where we start on every system we instrument.
Latency
How long requests take to serve, split by success and failure.
Catches: Slow endpoints and creeping tail latency.
watch p95 / p99, not the meanTraffic
How much demand is hitting the system right now.
Catches: Load spikes, drops, and capacity limits.
requests / sec per serviceErrors
The rate of requests that fail, explicitly or silently.
Catches: Broken deploys and failing dependencies.
error ratio vs a baselineSaturation
How full the most constrained resource is.
Catches: Exhaustion before it becomes an outage.
CPU, memory, queue depthFollow One Request All The Way Down.
When a page is slow, averages lie. A trace shows the exact path of a single request across every service, so the culprit span is impossible to miss.
Reliability As A Budget.
We turn reliability into a number the whole team agrees on. An SLO sets the target, the error budget is what you can spend, and alerts fire on how fast you are burning it, not on every blip.
One Page That Actually Matters.
Alert fatigue is a reliability risk of its own. We dedupe, group, and correlate signals so your on-call gets a single, context-rich incident, not a hundred pages at 3am.
Instrument Once, Route Anywhere.
We standardise on OpenTelemetry, so your apps emit data in one open format and a central collector ships it to whichever backends you choose. No vendor lock-in on your telemetry.
OTel SDK
Prometheus
Fluent BitPrometheus
Grafana
VictoriaMetrics
Elastic
Kibana
Splunk
JaegerGrafana
Datadog
New Relic
Sentry
PagerDuty
OpsgenieVisibility That Pays Off.
Observability is only worth it if it changes outcomes. Here is what teams get once the instrumentation, dashboards, and alerting are done right.
Root Cause, Faster
Correlated signals and runbooks mean incidents are understood in minutes, not escalated across three teams for an hour.
Alerts You Can Trust
Dedup and correlation turn an alert storm into one actionable page, so on-call responds instead of muting everything.
No Blind Spots
We instrument every service with OpenTelemetry, so there is no dark corner of the stack when something goes wrong.
Yours To Keep
Built on OpenTelemetry and your chosen backends, fully documented and handed over. Your telemetry is never locked in.
Illustrative figures based on typical engagements. Your baseline and targets are modeled up front, never promised blind.
Frequently Asked Questions.
Monitoring watches for problems you already predicted, dashboards and alerts for known failure modes. Observability is being able to ask new questions of your system without shipping new code, so you can debug the failures you did not predict. Monitoring tells you something is wrong; observability lets you find out why. You need both, and we build them together.
Stop Guessing. Start Seeing.
Send us your stack and your worst incident story. We will instrument what matters, cut the noise, and give you the visibility to fix problems before your users feel them.