SRE-as-a-Service · Production Reliability Engineering

Your team builds. We hold
the line.

Production pressure shouldn't land on the people shipping your product.
IT Outposts takes operational ownership of your system, so your engineers stop firefighting and start building.

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SLO/SLI | 24/7 On-Call

DevOps as a Service

We work with product teams who need reliability to be a measurable system property,
not a promise their engineers have to keep personally.

>99%

Client uptime sustained

24/7

Production monitoring

30min

Guaranteed on-call SLA

15+

Engineers protected

SRE-as-a-Service

Observability Engineering

SLO

24/7 On-Call Response

Blameless Post-Mortems

Chaos Engineering

Infrastructure as Code

Error Budget Policies

Cost Optimization

Disaster Recovery

01 The Problem

Engineers became the human load balancer

Answering Slack pings from support, calming sales, reassuring leadership, all while trying to ship. The system got complex, and the weight landed on your best people.

"I'm spending more time explaining the system than building it."

Incidents feel like
a performance review

Even in healthy teams, outages quietly carry blame if reliability is not a system property. Engineers shouldn't have to defend rational trade-offs under pressure.

"I just want incidents to stop feeling personal."

Critical knowledge lives in one person's head

Your senior engineers know which queues are fragile and which services won't scale. That knowledge is a risk when it's undocumented and walking out the door.

"If I'm the only one who knows this, it's a liability."

Stakeholders want guarantees the system can't give

"Can we promise 99.99%?" Your team knows the real answer involves trade-offs. You need a neutral party who can translate system behavior into expectations leaders can actually live with.

"I need someone else to say this."

03 How we work

Three roles.
One partner.

We take the system as it exists — shaped by real timelines, growth, and business pressure — and put guardrails in place so it holds up as usage and expectations evolve, explains itself, absorbs pressure, and keeps shipping.

Pillar 01 The Interpreter

Systems that explain themselves

We connect system behavior to business impact, so leadership stops asking engineers to translate production at 2am, and engineers stop becoming the bridge between technical signals and stakeholder trust.

Golden Signal monitoring tied to revenue-critical user journeys
Focused dashboards for product, engineering & leadership
Predictive capacity analysis before major launches
Externalized knowledge base — no more hero engineers

Pillar 02 The Shield

Reliability as a system property

We formalize SLOs, error budgets, and burn-rate alerting, turning reliability into a measurable governance mechanism that aligns teams around risk without politics.

SLO/SLI benchmarking tied to actual business impact
Error budget frameworks with burn-rate alerting
Infrastructure as Code
DevSecOps guardrails: GDPR, PCI DSS, automated audits

Pillar 03 The Buffer

Production pressure
contained

When an incident happens, your engineers shouldn't be the first call. We absorb the blast, so problems get solved faster, calmer, and without escalating into leadership fire drills.

24/7 monitoring with 15-minute on-call reaction SLA
Managed Kubernetes with auto-scaling & load balancing
Blameless post-mortems focused on systemic prevention
Chaos engineering to find weak spots before production does

04 How we work

Operational ownership, from day one.

Map the system as it actually exists

Fragile queues, scaling assumptions, hidden single points of failure. We map everything as it is today — not how it was designed — before writing a single line of config.

Instrument what actually matters

We implement the four Golden Signals mapped directly to your revenue-critical user journeys to enable actionable insights tied to business outcomes.

Build the reliability infrastructure

SLOs, error budgets, on-call runbooks, auto-scaling policies, incident workflows. We build the infrastructure that turns incidents from emergencies into managed events.

Make the system self-explaining

Every insight, pattern, and fix gets captured in dashboards, automation, and runbooks, so the system can explain itself and recover, even at 3am, without a hero.

05 What You Get

Everything that makes reliability measurable

24/7 monitoring with 30-minute reaction SLA

Golden Signal observability tied to business metrics

SLO, SLI & error budget
framework

Managed Kubernetes with auto-scaling & load balancing

Infrastructure as Code
(Terraform / Pulumi)

Structured incident workflows
& escalation paths

Blameless post-mortems with concrete preventive actions

Runbooks, dashboards & externalized knowledge base

Capacity planning
& cost rightsizing

Chaos engineering & proactive resilience testing

DevSecOps integration
(GDPR, PCI DSS)

Cloud-native disaster
recovery (DRaaS)

06 Why IT Outposts

Area

Typical MSP

IT Outposts SRE

Business model

Sells people-hours & ticket resolution

Sells operational states & reliability outcomes

Incident response

Reactive L2/L3 support

Prevents incidents through proactive engineering

Post-incident

Audits past decisions, assigns blame

Blameless post-mortems focused on systemic fixes

Monitoring

Generic infrastructure dashboards

Business-tied observability mapped to revenue journeys

Knowledge

Increases reliance on individual engineers

Externalizes knowledge, permanently reduces hero work

Over time

Operational load grows with usage

Toil elimination, burden decreases over time

07 Client Results

What engineering teams
say about us

IT Outposts became an extension of our architecture team rather than just an external DevOps provider. Together, we strengthened the reliability of our e-commerce platform, improved incident response processes, and ensured infrastructure scalability during high-traffic periods. Their ability to operate at the architectural level while staying hands-on with operations made a real difference.

Artem Shanin Solution Architect

Kontakt Home

IT Outposts helped us transition from reactive infrastructure support to a proactive SRE model. We improved observability, optimized cloud costs, and increased overall platform stability for our SaaS product. What stands out is their ability to align engineering decisions with business priorities — not just maintaining systems, but actively improving them.

Serhi Dovhyi Head of Software Development

Geobuyer

Working with IT Outposts as our embedded SRE team allowed us to formalize support processes, introduce SLO-driven practices, and significantly reduce operational overhead. They collaborate seamlessly with our developers and leadership team, taking full ownership of platform reliability while enabling us to focus on product delivery and growth.

Alex Kustov Head of Delivery

ANC.UA

FAQ

An in-house SRE hire takes 3-6 months to onboard, costs €120-180k/year fully loaded, and still leaves you with a single point of failure. IT Outposts gives you a full SRE team — on-call coverage, tooling expertise, framework experience — active within weeks. And when they're on vacation, you still have coverage.

No. We take ownership of the reliability baseline: monitoring, alerting, on-call, incident management, and SLO governance. Your DevOps team can keep owning CI/CD and your engineers keep owning the product. We take the operational pressure off both.

We've worked across AWS, GCP, and Azure, with Kubernetes, serverless, and hybrid architectures. The 30-minute discovery call is where we establish fit.

Week 1-2: System assessment and observability gap analysis. Week 3: First SLO drafts and alerting baseline. Week 4: On-call handoff and incident workflow activation. By the end of month one, you have a live dashboard, defined SLOs, and a team holding the on-call pager.

Yes, our 30-minute on-call reaction SLA applies from day one of the engagement, not after a 6-month stabilization period. We take the system as it is. That's the whole point.

Your team builds. We hold
the line.

Why good teams still struggle with reliability

Engineers became the human load balancer

Incidents feel like
a performance review

Critical knowledge lives in one person's head

Stakeholders want guarantees the system can't give

We don't inspect your team.
We stand between them and the pressure.

Three roles.
One partner.

Systems that explain themselves

Reliability as a system property

Production pressure
contained

Operational ownership, from day one.

Assess

Monitor

Implement

Externalize

Everything that makes reliability measurable

Not another managed services vendor

What engineering teams
say about us

FAQ

Stop carrying production alone.

Your team builds. We holdthe line.

Why good teams still struggle with reliability

Engineers became the human load balancer

Incidents feel like a performance review

Critical knowledge lives in one person's head

Stakeholders want guarantees the system can't give

We don't inspect your team. We stand between them and the pressure.

Three roles.One partner.

Systems that explain themselves

Reliability as a system property

Production pressure contained

Operational ownership, from day one.

Assess

Monitor

Implement

Externalize

Everything that makes reliability measurable

Not another managed services vendor

What engineering teamssay about us

FAQ

Stop carrying production alone.

Your team builds. We hold
the line.

Incidents feel like
a performance review

We don't inspect your team.
We stand between them and the pressure.

Three roles.
One partner.

Production pressure
contained

What engineering teams
say about us