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Ship faster without playing deployment roulette.
DevOps & SRE Services
DevOps & SRE Services
Ship faster without playing deployment roulette. We build sane pipelines, measurable reliability, and ruthless feedback loops so your teams push more often, break less, and recover quickly when something does go sideways.
10×
More frequent deploys
< 30m
Typical MTTR target
99.9%+
Availability SLOs
-40%
Infra cost with right-sizing
On this page
Problems We Solve (Bluntly)
Reality check: If deploys need a “hero,” your system is fragile. If incidents need a “wizard,” your telemetry is trash. If costs creep monthly, you aren’t measuring the right things. We fix that.
- Flaky releases: Manual steps, environment drift, “works on my machine.”
- Outages & blind spots: No unified logs/traces/metrics, alert noise, slow root cause.
- Runaway cloud bills: Zombie resources, wrong instance types, no autoscaling or budgets.
- Security gaps: Secrets in code, wide IAM, no supply-chain controls.
Core Capabilities
CI/CD
Pipelines That Don’t Break Under Pressure
Push-to-prod with confidence using trunk-based development, preview environments, and automated checks.
- Build, test, scan gates (unit, e2e, SCA, SAST)
- Blue/green, canary, feature flags
- Ephemeral envs per PR
- Rollback & roll-forward automation
IaC
Infrastructure as Code & GitOps
Reproducible environments from dev → prod. No snowflake servers, no click-ops.
- Terraform/Terragrunt modules & policy-as-code
- Cross-account networking, secrets, KMS
- GitOps (Argo CD/Flux) drift detection
- Audit-ready change history
SRE
Observability & Reliability Engineering
Make outages boring. Measure what matters and set guardrails that engineers trust.
- SLIs/SLOs, error budgets, burn alerts
- OpenTelemetry traces, logs, metrics
- Runbooks, incident response, postmortems
- Load/chaos testing & capacity planning
Cost & Security
FinOps & DevSecOps
Cut waste without cutting reliability. Shift-left on security so audits stop being fire drills.
- Right-sizing, autoscaling, spot/RI strategy
- Budgets & anomaly detection
- SBOMs, dependency scanning, image signing
- IAM least-privilege baselines
Our Delivery Process
- Assessment (1–2 weeks): current-state map, risk register, top-10 fixes by ROI.
- Blueprint: target architecture, IaC repo layout, pipeline design, observability plan.
- Pilot & Hardening: one service end-to-end: CI/CD, IaC, telemetry, security gates.
- Scale-Out: codify patterns; migrate remaining services in waves.
- Operate: SRE cadence, error budget policy, continual cost/security tuning.
Definition of done: Code + tests + IaC + dashboards + alerts + runbooks + automated rollback. If any is missing, it’s not done.
Recommended Toolchain
| Category | Preferred | Alternatives | Notes |
|---|---|---|---|
| CI/CD | GitHub Actions | GitLab CI, Azure DevOps, Argo Workflows | Reusable workflows, OIDC to cloud, environment protection. |
| IaC | Terraform + Terragrunt | Pulumi | Module registry, policy-as-code with OPA/Conftest. |
| Runtime | EKS/AKS/GKE, ECS, Serverless | Nomad, plain VM ASGs | Pick the simplest that meets SLOs. Boring is good. |
| Observability | OpenTelemetry + Prometheus + Grafana | Datadog, New Relic | Unified tracing/logs/metrics; no silos. |
| Security | Trivy, Snyk, Sigstore/Cosign | OWASP ZAP, Grype | Shift-left SCA/SAST, sign images, verify in admission. |
| Release | Argo CD + Helm | Flux, Kustomize | GitOps, drift detection, canary strategies. |
| Runbooks/IR | Backstage, Incident.io | PagerDuty, Opsgenie | Clear ownership, escalation, and comms templates. |
Ops Maturity Model
Level 1 — Ad Hoc
- Manual deploys, no IaC
- Logs only, no traces
- Incidents handled in chat
Level 2 — Managed
- Basic CI/CD with tests
- Terraform baseline
- Dashboards & alerts for key SLIs
Level 3 — Optimized
- GitOps, progressive delivery
- Error budgets & SRE rituals
- Cost & security policies as code
SLOs, SLIs & SLAs
| Area | SLI | Typical SLO | Notes |
|---|---|---|---|
| Availability | Success rate | ≥ 99.9% monthly | Error budget drives release pace. |
| Latency | P95 API latency | < 300ms (in-region) | Budget per service; enforce via alerts. |
| Reliability | MTTR | < 30 minutes | Runbooks + automation or it won’t happen. |
| Change | Change Failure Rate | < 10% | Canary + fast rollback to keep CFR low. |
| Cost | $/request or $/user | -20% QoQ (target) | Right-size, autoscale, delete idle. |
Engagement Models & Pricing
| Model | Best For | What You Get | Typical Budget |
|---|---|---|---|
| DevOps Audit | Fast assessment & roadmap | Current-state review, risk register, 90-day plan | Fixed fee |
| Pipelines & IaC Sprint Quick Win | One service end-to-end | CI/CD, IaC, observability, security gates, docs | 2–4 weeks |
| SRE Retainer | Ongoing reliability & ops | SLO mgmt, incident response, cost/security tuning | Monthly retainer |
FAQs
Do we need Kubernetes?
No. If your scale and team don’t justify it, use ECS, serverless, or even autoscaled VMs. Complexity is a cost.
Can you work with our existing cloud/provider?
Yes—AWS, Azure, or GCP. We align with what your team can realistically support.
How do you reduce cloud costs without risking reliability?
Right-sizing based on real utilization, autoscaling policies, spot/RI mix, and ruthless cleanup of idle resources—backed by dashboards and alerts.
What’s your stance on “you build it, you run it”?
Engineers should own their services. We provide the guardrails—pipelines, runbooks, SLOs—so on-call isn’t chaos.
How fast can we see results?
Within the first sprint: a working pipeline, one service under GitOps with IaC, and baseline dashboards/alerts. Tangible progress, not slides.
Ready to make deploys boring and outages rare?
Let’s start with a blunt audit and ship a no-excuses pipeline that your team actually trusts.
Book a 30-minute DevOps assessmentNeed sample runbooks, SLO dashboards, or IaC module structure? Ask and we’ll share sanitized examples.