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BigTree108

Site reliability engineering services

Site reliability engineering (SRE) services for systems that have to stay up: service-level objectives and error budgets, observability with OpenTelemetry, on-call and incident management, load testing and capacity planning, disaster recovery and chaos engineering, and repetitive operations work automated away, with dedicated site reliability engineers for your team or SRE projects delivered end to end.

SRE services we provide

  • Observability from code to customer

    Services instrumented with OpenTelemetry, with metrics, logs and traces in Prometheus, Loki and Tempo under Grafana, or in Datadog, New Relic, Dynatrace or Elastic, joined by a trace ID so one slow request can be followed through every service it touched.

  • Service-level objectives and error budgets

    Indicators measured from what users experience, such as latency and failed requests, objectives agreed with the product owner, and burn-rate alerts generated with Sloth or Pyrra, so a spent error budget moves reliability work ahead of new features.

  • On-call rotations and alerting

    Rotations and escalation policies in PagerDuty, incident.io, Grafana IRM or Jira Service Management, alerts pruned until each one needs a person, a runbook linked from every page, and Opsgenie schedules moved across before Atlassian shuts it down in April 2027.

  • Incident management and postmortems

    Severity levels, an incident lead and a cadence for status page updates agreed before the first outage, each incident run in its own Slack or Teams channel, and a blameless postmortem whose actions are tracked to done.

  • Toil automation and production readiness

    Repetitive operations work measured, then automated: certificate renewals, restarts, failovers and clean-ups handled by scripts and Kubernetes operators, and a readiness review before each new service takes production traffic.

  • Load and performance testing

    Load, stress and soak tests in k6, Gatling, Locust or JMeter against production-like environments and in the pipeline, with profiling to find where the time goes when a test misses its target.

  • Capacity planning and autoscaling

    Growth forecast from real traffic, autoscaling on the signals that matter, such as queue depth through KEDA or requests per second, and headroom kept for sales peaks and for losing a whole zone.

  • Disaster recovery drills

    Recovery time and recovery point objectives set per service, backups restored and regions failed over on a schedule, and the measured result compared with the target, so the recovery plan is known to work before it is needed.

  • Chaos engineering

    Failures injected on purpose with AWS Fault Injection Service, Azure Chaos Studio, Chaos Mesh or LitmusChaos: an instance stopped, a dependency slowed, a zone cut off, starting in staging and moving to production once the system and the team are ready.

Hire site reliability engineers

  • Dedicated site reliability engineers

    Site reliability engineers who join your team full time, work in your tools and process, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.

  • Site reliability engineering projects

    A defined piece of site reliability engineering with a scope, a fixed plan and a named lead on our side who owns the result and reports progress in your channels.

  • Ongoing site reliability engineering

    Site reliability engineering as a continuing service: the same people every month, a backlog you prioritise, and hours you can see in our portal and on the invoice.

The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.

Who works on your site reliability engineering

  • Site reliability engineers

    Service levels, on-call, incidents and automation

  • Observability engineers

    Instrumentation, dashboards and alert rules

  • DevOps and platform engineers

    Pipelines, infrastructure as code and Kubernetes

  • Performance engineers

    Load tests, profiling and capacity models

  • Backend developers

    Fixes for failures traced back to the code

How we do SRE

Reliability is set by agreement rather than by the number of alerts: each service has objectives the product owner has signed off, alerts fire when the error budget burns rather than on every spike in CPU, and when the budget runs out, reliability work goes ahead of new features until it recovers. Dashboards, alert rules and runbooks live in Git beside the code and change through pull requests.

On a system another team built, we start with a read-only review of monitoring, alerts, past incidents and recovery plans, and a written list of risks in order of impact. On-call starts only once the hours covered, the response time for each severity and the escalation path into your team are agreed in writing, and every incident ends with a blameless review and actions tracked to done.

Other cloud, DevOps and security services

Cloud, DevOps and security overview

Questions about site reliability engineering

Which industries do your site reliability engineers work in?

Mostly fintech and banking, where payment and trading systems are held to strict uptime and to resilience rules such as DORA; cloud, hosting and telecom providers whose customers depend on their uptime; e-commerce and retail, with capacity planned around sales peaks; enterprise SaaS products with uptime commitments in their contracts; healthcare platforms; AI and data products with GPU workloads and pipelines to keep running; and security companies.

What is the difference between SRE and DevOps?

DevOps covers how code reaches production: pipelines, infrastructure as code and releases. SRE covers how it behaves once it is there: objectives for availability and latency, the monitoring that measures them, on-call, incident response and the engineering that removes recurring failures. Most teams need both, and we staff either or both.

Which observability tools do you work with?

OpenTelemetry for instrumentation; Prometheus, Grafana, Loki, Tempo and Mimir, self-hosted or as Grafana Cloud; Datadog, New Relic, Dynatrace, Elastic and Splunk; Azure Monitor, Amazon CloudWatch and Google Cloud Observability; and PagerDuty, incident.io and Grafana IRM for on-call. We work in the tools you already pay for.

How quickly can site reliability engineers start?

When the right site reliability engineer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.

How do we hire site reliability engineers through BigTree108?

Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.

Who owns the work they produce?

You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.

Need site reliability engineers?

Tell us what runs in production, how you monitor it and what has gone wrong lately. You get an answer within one business day: a plan, candidate profiles, or a scope for a reliability review.