Most enterprises don’t have an observability gap, they have three overlapping tools, 40,000 alerts a month and no agreed definition of “healthy”. SRE is the engineering discipline that turns that telemetry into fewer incidents, faster releases and a lower run cost.
We define service level objectives from the user journey, checkout, login, API latency, then wire error budgets into release decisions. Reliability stops being an opinion and becomes a number both engineering and the business sign off on.
Metrics, logs, traces and events consolidated on OpenTelemetry, vendor-neutral by design, across AWS, Azure, GCP, Kubernetes and on-prem. One correlated view instead of four consoles and a war-room bridge call.
Symptom-based alerting, deduplication and anomaly detection replace threshold spam. Every page maps to a real user impact and a documented runbook, so on-call fatigue and missed signals both drop.
The repetitive work your platform team does weekly, restarts, scaling, certificate rotation, failed job replays, disk and node recovery, codified into automated runbooks and Terraform-managed guardrails.
Follow-the-sun SRE pods with named incident commanders, agreed severity matrix, and blameless post-incident reviews that produce tracked engineering actions, not a PDF that nobody reads.
Production readiness reviews, load and chaos testing, progressive delivery, and DR validation, plus telemetry-cost governance, because observability spend that grows faster than the estate is its own problem.
These are the ranges our enterprise clients typically see within the first 12 months of engagement. We baseline your current incident, availability and telemetry-cost profile during the assessment, then commit to targets in the contract.
Correlated telemetry and runbook-backed alerts cut the time spent identifying cause, not just restoring service.
Symptom-based alerting and deduplication remove pages that never needed a human.
Measured against journey-level SLOs, reported monthly with error-budget burn.
Through data tiering, sampling and retention design, without losing forensic depth.
Engagement starts with a six-week reliability sprint: SLO definition and telemetry audit, instrumentation and alert rebuild, runbook automation, then shadow on-call before we take primary rotation, with agreed exit criteria at each gate.
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Monitoring tells you a server is unhealthy. A NOC tells you someone noticed. Neither changes how often it happens. SRE is an engineering function: it sets measurable reliability targets, then spends engineering time removing the causes of breach, instrumentation gaps, missing automation, fragile deploys, unclear ownership. Practically, the difference shows up in the trend line. A NOC contract keeps incident volume roughly flat; an SRE engagement should show fewer incidents and shorter ones quarter on quarter, and we agree those targets in the contract.
No. We work with Datadog, Dynatrace, New Relic, Splunk, Elastic, Grafana/Prometheus, Azure Monitor and AWS CloudWatch, and we instrument with OpenTelemetry so your telemetry is portable rather than locked to whichever platform you’re on today. Most of our early value comes from consolidating what you already own and fixing how it’s used. If a rationalisation genuinely saves money, we’ll show you the numbers during the assessment; it’s a decision, not a precondition.
Both models are available. Embedded SRE means our engineers join your rotation and own defined services end to end. Managed SRE means we take primary 24/7 on-call with your team as escalation. Advisory-only engagements exist but deliver the least, reliability improves when the people who get paged also own the fix. In every model we shadow your existing rotation before taking primary, so nobody inherits a service they don’t understand.
Typically a fixed monthly pod, a sized SRE team with defined coverage and service scope, because reliability work is engineering capacity, not ticket handling. Per-service and outcome-linked models are available where you want part of the fee tied to SLO attainment or MTTR reduction. We’ll model options against your actual incident volumes and telemetry spend in the assessment, so you’re comparing total cost of downtime rather than rate cards.
AWS, Azure, GCP and hybrid or on-prem estates; Kubernetes, serverless, VM-based and legacy workloads. Toolchain-wise, Terraform, Ansible, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD, PagerDuty and Opsgenie are all standard for us. Where reliability depends on infrastructure or network work, the SRE pod integrates with our wider cloud and infrastructure managed services, so remediation doesn’t stop at a hand-off.
Alert noise and MTTR usually move first, inside the initial six-week sprint, because both respond to better instrumentation and disciplined alerting. Availability and change-failure improvements follow over one to two quarters, as automation and production readiness work compound. You get a baseline report in week two, so improvement is measured against your own numbers rather than an industry average.
Access is least-privilege, role-based and time-bound, with all activity logged and auditable. We align to ITIL 4 and SRE practice, and support GDPR, data-residency and sector-specific control requirements as contractual obligations rather than best-effort statements. Telemetry can carry sensitive data, so we document what is collected, where it is stored, retention periods, and what is masked or excluded before any instrumentation goes live.
The opposite is the design goal. Runbooks, dashboards, SLO definitions, Terraform modules and post-incident actions all live in your repositories and your tooling, and we run enablement sessions with your engineers as part of the engagement. Every contract includes documented exit and knowledge-transfer terms. If you decide to bring reliability fully in-house in year three, you should be able to, that’s a fair test of whether we did the job properly.
Get In Touch
Schedule a 45-minute reliability assessment with our SRE specialists. You’ll leave with a view of where your telemetry is blind, which alerts are wasting engineering hours, and what a realistic SLO looks like for your critical services.