Welcome to Shvan Tech Solutions
Ship faster without playing deployment roulette.
Ship faster without playing deployment roulette.

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

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

  1. Assessment (1–2 weeks): current-state map, risk register, top-10 fixes by ROI.
  2. Blueprint: target architecture, IaC repo layout, pipeline design, observability plan.
  3. Pilot & Hardening: one service end-to-end: CI/CD, IaC, telemetry, security gates.
  4. Scale-Out: codify patterns; migrate remaining services in waves.
  5. 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

CategoryPreferredAlternativesNotes
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

AreaSLITypical SLONotes
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

ModelBest ForWhat You GetTypical 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 assessment

Need sample runbooks, SLO dashboards, or IaC module structure? Ask and we’ll share sanitized examples.