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SERVICE 04

SRE & Infrastructure Automation

SRE / Reliability Engineering
End the dread that comes with every release.
Raise reliability and development speed at the same time. We don't just drop in tools—we start by designing the entire development cycle.
Process
01 Map the current state & inventory risks
02 Define SLIs/SLOs & improvement plan
03 CI/CD, IaC & monitoring
04 Hand off to your team & enable self-sufficiency
If this sounds like you
Breaking free from "Every production release puts the whole team on edge"
PAIN 01
Deploys are manual, and you can't release without one specific person
Even following the runbook, it comes out a little different every time. When that person is out, releases stop. You've been stuck at a bus factor of one.
PAIN 02
Nobody fully understands the infrastructure—it's just "somehow running"
PAIN 03
You want to release more often, but you're afraid incidents will spike, so you hold back
We're happy to talk even if neither IaC nor monitoring is in place yet.
Let's talk first →
The SYSTEMI approach
Raising reliability and development speed at the same time
Rather than "just put in CI/CD," we design the whole picture—SLIs/SLOs, monitoring, and incident response.
01
Map the current state & inventory the risks
We survey your infrastructure, deploy procedures, monitoring posture, and incident-response flow. Putting a name to what's "somehow running" is the first step.
Output
Current infrastructure diagram / deploy flow / risk map / bus-factor analysis
Output
SLI/SLO definitions / error-budget operating model / improvement roadmap
02
Define SLIs/SLOs and build an improvement roadmap
We define what to measure, at what level, and how. Then we set realistic targets and design the priorities for reaching them.
03
CI/CD, IaC & monitoring design
We automate with GitHub Actions, Terraform, and more. Infrastructure becomes code, changes become trackable, and we design alert granularity and escalation along the way.
Output
CI/CD pipeline / Terraform code / monitoring dashboards / runbooks
Output / What happens next
Onboarding materials / operations policy / regular review cadence
04
Hand off to your team & enable self-sufficiency
Ultimately we aim for a state where your team can run on its own. We stay alongside you through documentation, onboarding, and regular reviews.
How we're different
Can they go beyond "installing tools" and build a team that runs on its own?
Instead of a structure that keeps you dependent on outsiders, we design toward a state where your team can run on its own.
Cloud vendors MSPs (managed ops) Tool vendors SYSTEMI
SLI/SLO design △ General guidance only △ Depends on the offering × Out of scope ○ Designed around your operations
Infrastructure as code ○ Guidelines △ Scope of the contract △ Product-dependent ○ Turned into an asset with Terraform
Incident response × You handle it ○ 24h monitoring × Out of scope ○ Through design and team setup
Support toward self-sufficiency × Out of scope × Built on continued dependence × Out of scope ○ Alongside you to in-house capability
AI × SRE
Cut operational cost and raise reliability with AI
Faster incident analysis
When an alert fires, an LLM analyzes logs, metrics, and recent deploy diffs all at once—compressing the time spent on first-line triage.
Auto-generating & improving runbooks
Claude Code automatically generates and improves runbooks from incident history, turning know-how that lived in one person's head into a team asset.
Code review & IaC checks
AI reviews Terraform diffs and security settings up front, catching latent issues before they reach production.
Related case studies
Where we make the biggest difference
A mix of publishable case studies and model cases.
G-gen, Inc.
SRE & operations designBtoB SaaS
For G-gen's cloud management SaaS, one team handled everything from infrastructure build to operations design
Challenge
As an in-house product, it needed proper operations design, SLOs, and monitoring put in place.
Result
Terraform adoption, CI/CD, and SLI/SLO operations brought the team to a state where it could run on its own.
MODEL CASE
FDE in Action
Illustrative caseEC / High load
An EC site under a release freeze from frequent incidents gets SRE design introduced from the front line
Where it started
Late-night incidents kept recurring and releases were frozen. The setup made root-cause isolation slow.
What we worked through
SLI/SLO design → redesigned monitoring → IaC adoption, introducing deploy automation in stages.
See all case studies →
DELIVERABLES
What our frontline deliverables look like
Examples of how the documents we actually hand over are structured. We put them together as decision-ready material you can carry straight into the next phase.
DOCUMENT 01 — SRE assessment report (current state / SLIs & SLOs / improvement roadmap)
SRE_Assessment_v1.0.xlsx
Current infrastructureCloud setup, key components, whether redundancy exists, and identified SPOFs
Deploy flowManual steps, person-dependent points, bus factor, and time required
Proposed SLIs/SLOsTarget values for availability, response time, and error rate, plus error-budget operations
Incident historyIncidents over the past six months, MTTR, and whether recurrence prevention is in place
Improvement roadmapAn improvement plan sorted into quick wins, mid-term, and long-term
DOCUMENT 02 — Proposed architecture diagram
Sample SRE platform — CI/CD, IaC & observability
CI/CD
GitHub Actionsbuild / test / deploy
Terraform CloudIaC apply
Compute
ECS Fargate / EKSContainer runtime
LambdaServerless
Data
RDS / AuroraManaged DB
Monitoring
CloudWatch / DatadogMetrics & logs
X-RayDistributed tracing
Response
📟
PagerDutyOn-call
* Alerting designed around SLIs/SLOs. Release decisions are operationalized via the error budget.
* Linked to runbooks to standardize the initial response.
Frequently asked questions
Common questions about SRE & infrastructure automation
It's hard for us to stand up an in-house SRE team. Is going in-house from the start out of the question?
We recommend a phased approach. We start by working alongside you to drive standardization, then transfer operational know-how over 6 to 12 months. The goal is a state where one or two in-house SREs can keep things running.
We just want cloud optimization to cut costs. Can you do that alone?
Yes. From a FinOps perspective, we analyze resource utilization, propose use of Reserved Instances and Savings Plans, and right-size your resources. We've achieved cost reductions of 30 to 50%.
Is Kubernetes required?
It depends on the workload. In many cases, serverless (Lambda/CloudRun) or ECS Fargate carries a lower operational burden and is the better fit. We don't start from "Kubernetes is a given"—we work backward from your requirements.
We have no DevOps culture internally. How can we build one?
Installing tools alone won't change the culture. We design the "spaces for conversation"—postmortems, SLO reviews, error-budget operations—and help make them a habit. The first signs of culture start to appear in 3 to 6 months.
Related services
FDE · Forward Deployed Engineering →
Legacy System Modernization →
Cloud-Native Development →

Let's put an end to "releases are scary."

Tell us about your current setup, incident history, and team size, and we'll propose a realistic path to adopting SRE.

Talk to us about SRE (free)