Operate CI/CD · IaC · Observability · SRE

Deploy weekday-only. Recover in minutes.

We implement CI/CD, infrastructure as code, observability, and SRE practices for engineering teams that still deploy by hand on weekends or that only discover outages through user complaints. We start from the pain the team feels most acutely, usually deployment or monitoring, not from a theoretical framework.

When this is needed

Three signals that this is the right next step.

01 / Weekend deploys Production deployments are still manual and require weekend work.
02 / Users find outages first System outages are only discovered through user complaints.
03 / Velocity gap A large engineering team is not producing delivery velocity proportional to its size.
Reference flow

Commit to production. With observability and security baked in.

Illustrative reference flow. Tool selection (GitHub Actions, GitLab CI, AWS CodePipeline, Terraform, CloudFormation, AWS CDK) is tailored to your existing investments. The shape stays consistent.

01 / COMMIT

Code & review

PR + auto checks

02 / CI/CD

Ship to prod

Gated, reversible

03 / INFRA

All as code

Versioned, repeatable

04 / OBSERVABILITY

APM, traces, logs

Ops dashboards

05 / SRE

SLOs & budgets

Incident learning

DEVSECOPS · APPLIED ACROSS ALL STAGES

Automated code scanning · secrets management · policy as code · software bill of materials

CI/CD GitHub Actions, GitLab CI, AWS CodePipeline, from commit to production automatically. Pipelines are gated, reviewable, and reversible.
Infrastructure as code All infrastructure managed as code using Terraform, CloudFormation, and AWS CDK. Reviewable in PRs, versioned, reproducible.
Observability Application performance monitoring, distributed tracing, log aggregation, and operational dashboards, sized to actual investigation needs, not vendor catalogues.
SRE & DevSecOps SLO/SLI definition, error budgets, incident management, and blameless post-incident reviews. DevSecOps applies code scanning, secrets management, policy as code, and SBOMs across the flow.
Engineering principles

The reliability operating model. Built for delivery, not ceremony .

We merge delivery automation, infrastructure ownership, observability, SRE practice, and DevSecOps into one operating model so teams move faster without adding fragile process.

01 / Pipeline Commit to production, deliberately

Automate CI/CD with a real test pyramid, gates, and rollback paths so the pipeline removes weekend deploys instead of becoming its own incident source.

02 / Infrastructure Reproducible over click-configured

Manage infrastructure with Terraform, CloudFormation, or CDK, while choosing platform complexity based on workload needs instead of defaulting every system to Kubernetes.

03 / Observability Actionable signal only

Build APM, tracing, logs, and dashboards around the questions on-call actually asks, then tune alerts for signal so paging remains meaningful.

04 / SRE Reliability as an operating practice

Define SLOs, SLIs, error budgets, runbooks, and blameless post-incidents so trade-offs are explicit and incidents become learning loops.

05 / DevSecOps Security where developers work

Apply code scanning, secrets management, policy as code, and SBOMs across the pipeline, integrated into delivery rather than bolted on after a finding.

Merged operating model

Fix the most painful delivery or reliability gap first, then expand the practice.

The model starts where the team feels friction: manual deployment, click-configured infrastructure, noisy alerts, improvised recovery, or late security gates. Each improvement is designed to be owned by the team, reviewed in code, and measured in production.

What we do

What we do.

The services below define the scope of a DevOps & Site Reliability engagement with ICS. Tooling is tailored to existing investments.

CI/CD
GitHub Actions, GitLab CI, AWS CodePipeline From commit to production
What this includes Automated pipelines with proper test pyramid and rollback designed in from day one.
Infrastructure as code
Terraform, CloudFormation, AWS CDK All infrastructure reviewable in PRs
What this includes Reviewable, versioned, reproducible infrastructure, no click-configured production.
Observability
APM, tracing, logs, dashboards Sized to actual investigation needs
What this includes An observability stack tuned to the questions on-call actually asks during incidents.
SRE
SLO/SLI, error budgets, post-incidents Blameless reviews, structured runbooks
What this includes Reliability engineered as an operating practice with explicit budgets and structured learning loops.
DevSecOps
Code scanning, secrets, policy as code, SBOM Across the pipeline
What this includes Security applied where developers actually work, not as a gate they have to argue with.
After we hand off
After implementation, you can keep ICS engaged for ongoing SRE coverage and platform engineering through Managed Cloud & AI Operations, or your team can run the practice directly. The runbooks, SLOs, and pipelines are documented well enough for that handover.
Talk to us

Start with a deployment-and-reliability assessment. Then fix the pain first.

If deployments still require weekend work or outages are detected by users, the next step is a focused assessment that surfaces the pain points the team feels most acutely.

The assessment produces a sequenced plan that addresses the most painful gaps first, usually deployment or monitoring, before the rest of the framework lands.

Start a conversation
DevOps assessment

What the assessment covers

  • Deployment process review and bottleneck identification
  • Observability gap assessment against current incident posture
  • CI/CD and infrastructure-as-code current-state baseline
  • SRE readiness review: SLOs, on-call, post-incident practice
  • A sequenced implementation plan starting from the most acute pain point