OperateCI/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/CDGitHub Actions, GitLab CI, AWS CodePipeline , from commit to production automatically. Pipelines are gated, reviewable, and reversible.
Infrastructure as codeAll infrastructure managed as code using Terraform, CloudFormation, and AWS CDK. Reviewable in PRs, versioned, reproducible.
ObservabilityApplication performance monitoring, distributed tracing, log aggregation, and operational dashboards , sized to actual investigation needs, not vendor catalogues.
SRE & DevSecOpsSLO/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 / PipelineCommit 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 / InfrastructureReproducible 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 / ObservabilityActionable 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 / SREReliability 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 / DevSecOpsSecurity 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.

Case studies & outcomes

Two engineering engagements. Both measurable.

01
Financial technology · manual deploys 2×/month

From 2 deploys per month to 15+ per week, no failed prod deploys.

Context
A financial technology company deployed manually twice per month. Velocity was the binding constraint on engineering output and on time-to-market.
Before
Manual deployment cycles. Two production releases per month, each one a significant operational event.
What we delivered
CI/CD implementation from commit to production with proper test pyramid, gated pipelines, and rollback capability designed in from the start.
Outcome
15+/weekDeployments · was 2/month
After CI/CD implementation: more than 15 deployments per week with zero failed production deployments over three consecutive months.
02
Digital platform · MTTR of 4 hours

MTTR cut to 22 minutes, high-priority incidents down 70%.

Context
A digital platform operated with a mean time to recovery of approximately 4 hours and a high-priority incident rate that was unsustainable.
Before
Outages were detected late and recovery was largely improvised. The on-call experience was a known retention risk.
What we delivered
An observability stack covering APM, distributed tracing, and log aggregation, with structured on-call runbooks defining first-look procedures and escalation paths.
Outcome
4h → 22 minMTTR · high-priority incidents −70%
MTTR reduced to 22 minutes. High-priority incidents reduced by 70%.
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 CodePipelineFrom commit to production
What this includesAutomated pipelines with proper test pyramid and rollback designed in from day one.
Infrastructure as code
Terraform, CloudFormation, AWS CDKAll infrastructure reviewable in PRs
What this includesReviewable, versioned, reproducible infrastructure , no click-configured production.
Observability
APM, tracing, logs, dashboardsSized to actual investigation needs
What this includesAn observability stack tuned to the questions on-call actually asks during incidents.
SRE
SLO/SLI, error budgets, post-incidentsBlameless reviews, structured runbooks
What this includesReliability engineered as an operating practice with explicit budgets and structured learning loops.
DevSecOps
Code scanning, secrets, policy as code, SBOMAcross the pipeline
What this includesSecurity 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