Platform Observability

Platform Observability & Monitoring Services

Dashboards nobody opens are not observability. We build the signal set that answers "what broke, where, and who is affected" in minutes.

Discuss your requirement See capabilities

What you get

Metrics & dashboards
Distributed tracing
Log pipeline engineering
SLOs & error budgets

Overview

Why teams bring us in

Most teams have monitoring. Far fewer have observability — the ability to ask a question about production that nobody anticipated when the dashboards were built. The difference shows up during an incident, when the clock is running.

Exubers designs the full signal set: metrics, structured logs and distributed traces correlated by a common identifier, with service level objectives that define what "healthy" means and alerting that fires on user impact rather than on CPU.

Capabilities

Inside our Platform Observability

Every engagement is scoped from this set. We do not sell all of it to everyone — we sell the parts that move your constraint.

Metrics & dashboards

Prometheus, Grafana and cloud-native metrics with dashboards designed around user journeys instead of infrastructure inventory.

Distributed tracing

OpenTelemetry instrumentation across services so a slow request can be followed end to end rather than guessed at.

Log pipeline engineering

Structured logging, sensible retention tiers and centralised search that does not cost more than the platform it observes.

SLOs & error budgets

Service level objectives agreed with the business, with error budgets that make reliability trade-offs explicit.

Alerting & on-call

Alerts tied to symptoms users feel, routed with clear ownership, plus runbooks so the responder is not reading source code at 3am.

Incident response

Incident process design, blameless postmortem practice and reliability reviews that actually close the loop.

How we work

A delivery sequence you can plan around

Map

Service and dependency mapping, critical user journeys, and an honest inventory of what is currently observable.

Instrument

OpenTelemetry rollout, structured logging standards and metric conventions applied consistently across services.

Define

SLIs and SLOs per journey, alert rules derived from them, and runbooks written before the first page fires.

Refine

Alert noise review, dashboard pruning and postmortem-driven improvement on a regular cadence.

MinutesMean time to identify, once traces and logs correlate

User-impactAlerts fire on symptoms, not on server noise

Runbook-backedEvery alert ships with a documented response

Technology

Tools we use in Platform Observability work

Chosen per engagement against your team's existing skills and constraints, never as a default.

Prometheus Grafana OpenTelemetry Jaeger Loki Elastic Stack Datadog New Relic PagerDuty CloudWatch Tempo

FAQ

Platform Observability questions, answered

The questions procurement and engineering ask us most often before an engagement starts.

Ask us something else

What is the difference between monitoring and observability?

Monitoring tells you whether the conditions you predicted have occurred. Observability lets you investigate conditions you did not predict, by correlating metrics, logs and traces around a single request. Monitoring answers "is it down"; observability answers "why is this specific customer seeing errors".

Do we need a commercial platform like Datadog, or will open source do?

Both work. Prometheus, Grafana, Loki and Tempo cover most needs at a much lower licence cost but a higher operational cost. Commercial platforms reduce operational effort and increase spend as data volume grows. We size both against your data volume and team capacity before recommending one.

How do you reduce alert fatigue?

By deriving alerts from service level objectives rather than from resource thresholds. If an alert does not correspond to something a user would notice, it becomes a dashboard, not a page. In most estates we inherit, the majority of alert rules can be retired without losing coverage.

What are SLOs and do we really need them?

A service level objective is an explicit target for reliability, such as 99.9 percent of checkout requests succeeding within 500 milliseconds. They matter because they turn reliability from an argument into a number, and the error budget they create tells you when to ship features and when to stop and fix things.

Can you instrument applications we did not build?

Usually yes. OpenTelemetry auto-instrumentation covers most common frameworks without code changes, and we add manual spans at the boundaries that matter.

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