Professional Services · Embedded SRE
SRE engineers who carry your pager and leave the practice behind
Yobitel SREs join your on-call rota, sit inside your org chart, and own day-2 on your AI platform. Incidents, capacity, runbooks, SLOs, postmortems, alert hygiene. The team you have is the team that operates the platform after we leave.
Representative engagement
Live rotaEmbedded SRE pod · 6-engineer rota · 24/7 follow-the-sun
24-hour rota (UTC)
00:00 → 24:00
UK / EMEA
Anya · Karim
US-East
Devon · Priya
APAC
Mei · Rohan
Last 7 days
12 incidents · 2 sev-2 · 0 sev-1
Mean time to recovery
18 min
Auto-resolved
87%
Runbook cover
94%
Postmortems
100%
Pod sits inside your org chart. Pages flow to the regional on-call. Runbooks land in your repo. The team you have is the team that operates the platform after we leave.
The engagement model
What embedded SRE actually looks like
Not a vendor support contract. Not a managed service walled off behind a ticket queue. A pod of senior SREs who behave like senior hires for the length of the engagement.
Sits inside your org
The pod has named engineers in your Slack, your stand-ups, and your org chart. They report through your VP Engineering. The work shows up on your sprint board, not a private one.
Joins your on-call rota
Pages flow through your PagerDuty, your Jira Service Management, your Incident.io. The pod carries the pager alongside your team or in place of out-of-hours gaps, not behind a glass wall.
Owns specific surfaces
Scope is named in the statement of work. Inference fleet, training infra, app + pipeline layer, or the whole platform. Ownership is clear so escalations do not loop.
Leaves the runbook behind
Every incident becomes a runbook. Every capacity surprise becomes a forecast model. Every postmortem lands in your repo. The handover pack is built throughout, not on the last week.
The day-2 work
The operational disciplines we own with you
Day-2 is everything that happens after the platform is built. It is where AI programmes quietly stall. Each of these is a discipline the pod owns and leaves better than it found.
Incident response
What bad looks like
Severity called wrong, comms ad-hoc
What we build toward
Severity ladder, IC role, customer comms template
A repeatable severity ladder, an incident commander on every sev-2 or above, customer comms templated, and a chat-ops bot that opens the channel and the doc. Every incident leaves better than it found things.
Capacity planning + GPU forecasting
What bad looks like
Surprised by a quota wall mid-launch
What we build toward
Forecast model with 4-week look-ahead
GPU supply is constrained. Capacity is the load-bearing operational discipline. We build the forecast model, wire the dashboards, and run the weekly capacity review so launches never collide with a quota wall.
Alert hygiene + on-call quality
What bad looks like
200 pages a week, 5 actionable
What we build toward
Page rate < 2 per shift, every page actionable
Alert fatigue is the silent killer of SRE practice. We audit every alert, retire the dead ones, route the warnings into dashboards, and leave a page budget so the rota stays sustainable.
Runbook coverage
What bad looks like
Tribal knowledge, one engineer the bus factor
What we build toward
Runbook per alert, exercised on game day
Every paging alert gets a runbook. Every runbook gets exercised on a quarterly game day. The bus factor goes from one to whoever is on shift.
SLO design + error budget policy
What bad looks like
SLA in the MSA, no SLO in production
What we build toward
SLOs per user-facing surface, budget burn alerts
SLOs that reflect what users actually experience. Error budget policy that engineering teams agree with. Budget burn alerts that buy time before the SLA is in play.
Postmortem culture
What bad looks like
Blame, then no follow-through
What we build toward
Blameless template, action items tracked
Blameless postmortem template. Action items tagged in your tracker. The weekly review meeting that turns incidents into platform fixes. Senior leadership reads them.
The maturity ladder
Where the pod walks in and where we leave you standing
Typical entry is between Level 0 and Level 1. Typical exit is Level 3, with the practice and the artefacts to keep climbing. Level 4 is a destination your team owns after we leave.
Level 0
Ad-hoc operations
- No runbooks, no SLOs, no on-call rota
- Incidents are tribal investigations
- Capacity is a quarterly surprise
Level 1
First on-call rota
- Informal rota covers business hours
- A handful of runbooks for known issues
- Postmortems happen on the worst incidents
Level 2
Repeatable practice
- Formal 24x7 rota with regional shifts
- Runbook per paging alert, exercised quarterly
- Blameless postmortems on every sev-2+
- SLOs defined for the user-facing surfaces
Level 3
Shift-left + budget-driven
- Error budget policy throttles risky launches
- Capacity forecast wired to procurement
- Pre-mortems on every major design
- SLOs feed product priorities
Level 4
Auto-remediation
- Most pages resolved by automation
- Continuous game days, chaos in CI
- SRE is a multiplier, not a queue
Tooling
The pod plugs into your stack, not a parallel one
Embedded SRE that asks you to adopt a new observability vendor and a new on-call tool is not embedded. We work in your tools. Where the tools are missing, we stand up the open-source baseline your team can keep owning.
Observability
Prometheus · Grafana · Loki · Tempo · OpenTelemetry · VictoriaMetrics
We plug into what you run. If nothing is running, we stand up the open-source stack your team can own without a vendor invoice.
Vendor APM (if you prefer)
Datadog · New Relic · Honeycomb · Splunk
Equally happy in a vendor APM. The runbook practice does not change. The query language does.
On-call + incident
PagerDuty · Jira Service Management · Incident.io · FireHydrant
Pages flow through your tool. We bring the schedule template, the severity ladder, and the chat-ops glue. We do not run a parallel system.
Public + customer comms
Statuspage · Atlassian Statuspage · custom
Statuspage components mapped to your SLOs. Customer comms templates pre-approved by your CS team. Less typing during a sev-1.
Runbook + knowledge
Your wiki · Notion · Confluence · Backstage · Markdown in your repo
Runbooks live where your engineers already work. We do not invent a third location for documentation.
Chaos + game day
Litmus · Chaos Mesh · Gremlin · custom scripts
Quarterly game days. Failure injection in non-production. The exercises that turn a runbook from a wiki page into muscle memory.
Your handover pack
What lands when the pod leaves the room
Built throughout the engagement, not in the last week. Version-controlled. Owned by your team from day one of the engagement, not handed across at the end.
A pod that built the practice with you is also the pod that knows the artefacts are the manual your on-call opens at 3 a.m. We write them like that matters.
Runbook library
Runbook per paging alert, version-controlled in your repo, indexed by alert name. The first thing your on-call opens.
SLO catalogue + error budget policy
Per user-facing surface. Drafted with product, signed off by engineering leadership, wired to alerts that fire on burn rate, not threshold.
Incident tagging schema
Severities, categories, root-cause tags. Consistent enough to query a quarter later and answer where reliability investment should land.
Capacity model
Spreadsheet plus dashboard. Forecasts GPU, host, and storage demand on a 4-week and 12-week horizon. Feeds your procurement cycle.
Postmortem template + review cadence
Blameless template, action-item tracker, weekly review meeting. The discipline that turns incidents into platform fixes.
On-call rota structure + handoff doc
Schedule template, escalation policy, shift handoff format, on-boarding checklist for the next engineer joining the rota.
Engagement shapes
From a full pod to a paired coach, sized to your bench
The right shape depends on what your team already carries and where the bottleneck really sits. The scope call confirms which fits.
Embedded pod
2 to 4 SREs · 6 to 12 month engagement
A full pod inside your org. Carries the pager. Owns the named surface. Builds the practice while operating the platform. The default shape when day-2 maturity is the bottleneck on shipping AI.
Pair-SRE
1 senior, paired with your team
One senior Yobitel SRE paired with your existing platform team. Joins the rota at 0.5 FTE. Coaches in flight. Best when you have a team but need an experienced multiplier carrying weight beside them.
Coaching
We do not carry the pager
We do not take pages. We level your team. Runbook reviews, on-call audits, incident facilitation, postmortem coaching, SLO design workshops. Best when your team owns the work but the practice is uneven.
Related
Inference engineering for AI in production
The serving cluster the pod most often ends up running. Cost-per-token, p99, utilisation, multi-tenant admission.
Related
Application hosting for AI
The app + RAG + agent layer the pod operates alongside the inference fleet. Multi-tenant, eval in production, cost attributed.
Tell us what your on-call rota looks like today.
A short questionnaire covers scope, current posture, and the engagement shape you have in mind. Our SRE practice lead replies inside one working day with a fitted pod proposal, a scope you can take to your VP Engineering, and the artefacts you would walk away with.
Same engineering bench that runs the inference, training, and application layers above. Engagements scoped to any sovereignty perimeter (NCSC, G-Cloud, OFFICIAL, GDPR, FedRAMP, MeitY, and beyond). Pod typically rota-active inside two weeks of contract signature. Optional 24/7 follow-the-sun coverage from day one.