DevOps & Cloud Engineering|CI/CD · Kubernetes · GitOps · IaC

Deploy Faster,Break Nothing

Enterprise-grade CI/CD pipelines, GitOps workflows, and Kubernetes orchestration. We build reliable deployment infrastructure supporting 200+ releases per day with 99.95% success rate and sub-10-minute MTTR.

200+ Deploys/Day99.95% Deploy Rate<10 Min MTTR
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DevOps Transformations
0.95%
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DevOps Engineering Services

End-to-end DevOps transformation — from pipeline design through observability and cost optimization.

CI/CD Pipeline Design

Fully automated build, test, and deployment workflows with GitOps. Multi-stage pipelines with approval gates, automated quality checks, and advanced deployment strategies (Blue/Green, Canary, Rolling, Shadow).

GitHub ActionsArgoCD / FluxMulti-stage GatesBlue/Green DeployAutomated Rollback

Containerization & Orchestration

Enterprise Kubernetes with multi-region clusters, Helm chart management, service mesh (Istio/Linkerd), container security policies, and multi-cloud federation across AWS EKS / GCP GKE / Azure AKS.

Kubernetes 1.28+Helm 3.xIstio Service MeshMulti-cloud K8sPod Security

Infrastructure as Code

Cloud-agnostic infrastructure automation with Terraform, Pulumi, and AWS CloudFormation. GitOps with ArgoCD/Flux ensuring desired state, modular reusable patterns, and immutable infrastructure principles.

Terraform 1.6+PulumiGitOpsImmutable InfraState Management

Observability & Monitoring

Full-stack observability with Prometheus + Grafana, ELK Stack, distributed tracing (Jaeger/Tempo), APM integration, SLO dashboards, and ML-based anomaly detection with alert routing to PagerDuty/Slack.

Prometheus + GrafanaELK StackDistributed TracingSLO DashboardsAnomaly Detection

DevSecOps & Security Automation

Shift-left security with SAST/DAST in every pipeline stage, container image scanning, secrets management (HashiCorp Vault), compliance automation with OPA/Rego, and runtime security with Falco.

SAST / DASTContainer ScanningVault IntegrationOPA Policy-as-CodeFalco Runtime

Performance & Cost Optimization

Intelligent auto-scaling (HPA, KEDA, Karpenter), multi-layer caching strategy, FinOps tooling (Kubecost, CloudHealth), spot instance strategies, and resource right-sizing with profiling and benchmarking.

HPA / KEDASpot InstancesFinOps ToolingCDN OptimizationResource Right-sizing
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DevOps Transformation Process

A proven 6-phase methodology refined across 350+ DevOps transformations — from legacy manual deployments to ELITE DORA metrics.

01

Current State Assessment

Audit existing deployment processes, infrastructure, MTTR, DORA metrics, and pain points. Interview engineering team to understand manual toil and failure patterns.

02

Target State Design

Define target deployment frequency, MTTR, change failure rate, and lead time goals. Design CI/CD architecture, infrastructure topology, and observability stack.

03

Foundation: IaC & Containers

Containerize applications (or validate existing containers), write Terraform modules for infrastructure, set up state management, and establish GitOps repository structure.

04

Pipeline Implementation

Build CI/CD pipelines with quality gates, automated testing stages, security scanning, and deployment strategies. Configure Kubernetes clusters and Helm charts.

05

Observability & Alerting

Deploy Prometheus + Grafana, configure SLO dashboards, set up log aggregation (ELK/Loki), instrument distributed tracing, and tune alert routing and on-call schedules.

06

Optimization & Handover

Right-size resources, implement cost controls, tune auto-scaling policies, document runbooks, conduct team training sessions, and establish ongoing governance processes.

<pipeline />

CI/CD Pipeline Architecture

Every stage automated, every change auditable, every deployment reversible in under 5 minutes.

Code Push / PR
GitHub / GitLab
Build & Test
Jest / pytest / JUnit
SAST / Lint
SonarQube / Semgrep
Docker Build
Multi-stage + Scan
Push Registry
ECR / GCR / ACR
Deploy Staging
ArgoCD / Flux
E2E / Smoke
Playwright / Cypress
Deploy Prod
Canary → Full

Deployment Strategies

Blue/Green
Canary (traffic splitting)
Rolling update
A/B testing
Feature flags
Shadow mode

Quality Gates

Test coverage ≥80%
Zero High/Critical CVEs
SonarQube quality gate
OWASP ZAP clean
Performance budget
Health check pass

Auto-Rollback Triggers

Error rate >2%
Latency p99 >SLO
Health check fail
CPU/memory spike
Custom metrics
Manual override
<stack />

DevOps Toolchain

GitHub Actions
ArgoCD 2.9+
Kubernetes 1.28+
Helm 3.13+
Istio 1.19+
Terraform 1.6+
Pulumi 3.x
Prometheus 2.47+
Grafana 10.x
ELK Stack 8.x
Datadog APM
HashiCorp Vault
Docker 24+
Falco 0.36+
Trivy 0.47+
Snyk
Karpenter
Kubecost
OPA / Rego
Jaeger / Tempo
<case-study />

Featured DevOps Transformation

Enterprise E-Commerce DevOps Transformation

Fortune 500 Retail — 12M daily users

DevOps

Challenge

Manual deployments taking 4+ hours. 900+ hours of downtime per year. Unable to deploy more than twice a week. Legacy on-premises infrastructure with no DR. PCI-DSS Level 1 compliance required but not achieved. Engineering team spending 40% of time on manual operational tasks.

Technical Approach

Migrated monolith to 12 microservices on AWS EKS (Kubernetes 1.28) with multi-AZ setup. CI/CD with GitHub Actions + ArgoCD GitOps. Full IaC with Terraform (300+ modules). Istio service mesh. Prometheus + Grafana with custom SLO dashboards. HashiCorp Vault for secrets. Snyk + SonarQube in every pipeline stage.

Tech Stack

AWS EKSGitHub ActionsArgoCDTerraformIstioPrometheusGrafanaHashiCorp VaultSnykDatadog APM

Outcomes (6 months)

Deploy time: 4hr → 12 min (95% reduction)
150+ production deploys per day
98.5% → 99.97% availability
MTTR: 45 min → 8 min
65% infrastructure cost reduction
PCI-DSS Level 1 compliance achieved
<credentials />

Team Certifications

CKA / CKAD / CKS
Kubernetes
AWS DevOps Professional
AWS Certifications
HashiCorp Terraform
Associate + Pro
Google Cloud DevOps
Professional
<team />

The DevOps Team

Principal DevOps Engineer

13 years experience
CI/CD Architecture
Kubernetes at Scale
GitOps
ArgoCDKubernetesTerraformGitHub Actions

Cloud Infrastructure Architect

11 years experience
Multi-cloud IaC
Cost Optimization
Disaster Recovery
TerraformAWS/GCP/AzurePulumiFinOps

SRE / Observability Engineer

9 years experience
SLO Engineering
Incident Response
Performance Tuning
PrometheusGrafanaJaegerDatadog

DevSecOps Engineer

10 years experience
Pipeline Security
Secrets Management
Compliance Automation
VaultFalcoSnykOPA/Rego
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Engagement Options

DevOps Assessment

1 week
From $3,500
DORA metrics baseline
Pipeline audit
Infrastructure review
Recommendations report
Roadmap to ELITE DevOps
Get Started
Most Common

DevOps Transformation

8–16 weeks
From $22,000
Full CI/CD implementation
Kubernetes + Helm setup
IaC with Terraform
Observability stack
Team training & runbooks
Get Started

DevOps Retainer

Ongoing
From $6,500/mo
Dedicated SRE engineer
Pipeline maintenance
Incident response
Monthly infrastructure review
Capacity planning
Get Started
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DevOps Questions Answered

Ready to Accelerate Delivery?

From slow, error-prone manual deployments to ELITE DORA metrics. 200+ deploys per day, 99.95% success rate, 8-minute MTTR — we've done this 350+ times.

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