What we deliver
We put SRE practices in place with a focus on measurable reliability: SLOs defined by user journey, structured observability (logs, metrics and traces, using open standards for telemetry where applicable), incident response with playbooks and post-incident reviews, and capacity planning. The goal is for the operations team to make decisions with data, with predictable system behavior and prioritization of operational risk.
The problem it solves
Recurring incidents with no identified root cause, no clear SLOs, dashboards that do not explain business impact, noisy alerts and no culture of learning after failures.
CTOs, heads of engineering and operations teams that need to raise operational maturity and the reliability of their services.
When incidents keep repeating without structural improvement, when SLOs and reliability metrics are missing, or when the organization needs observability that is useful for decisions.
Scope of work
Deliverables
How the work happens, in practice
Reliability measured, not assumed
An SLI is an indicator of what the user perceives (for example, the proportion of requests served successfully and within an acceptable time); the SLO is the target for that indicator over a window, such as 30 days; the error budget is the remaining margin, that is, the difference between the target and 100%. When the budget runs out, the practice described in Google's SRE books is to prioritize reliability over new features. With this, the conversation between product and operations stops being opinion and starts to use data.
Observability with logs, metrics and traces
Logs tell what happened, metrics show the trend and traces follow a request across services, which helps find which dependency is causing the slowness. The four golden signals (latency, traffic, errors and saturation) are a good starting point. Structured logs, with a correlation identifier, make searching easier; metrics with uncontrolled cardinality raise costs and degrade the platform. OpenTelemetry is the open instrumentation standard, which avoids lock-in to a single tool vendor and allows the same data to be exported to different destinations.
Incidents and learning
Alerts should point to symptoms that require human action, preferably tied to error budget consumption, rather than isolated causes such as high CPU. Each alert points to a runbook that says what to check and how to mitigate. After each relevant incident, the blameless post-incident analysis records the timeline, the contributing factors, what worked and the improvement actions, each with an owner. Repetitive manual work (toil) is also reduced through automation. This is how the same failure stops recurring and how on-call becomes sustainable.
What sets us apart
- SRE focused on operational results, not just tools
- Observability that explains business impact
- A blameless post-incident review culture
Methodology
Mapping of services and journeys
Definition of SLOs/SLIs
Telemetry instrumentation
Configuration of alerts and dashboards
Training and follow-up
Highlights
Frequently asked questions
Ready to move forward?
Tell us about your context and challenges. We reply with a clear proposal.