DevSecOps & SRE
Build resilient, secure, and highly available systems with modern DevOps practices and SRE expertise
Streamline your software delivery and operations with DevSecOps and Site Reliability Engineering (SRE) best practices that accelerate deployment velocity while ensuring 99.99% uptime. I design and implement complete CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and ArgoCD, integrating security at every stage with automated vulnerability scanning, secret management, and compliance checks. My approach combines development speed with operational excellence, reducing deployment time from weeks to minutes.
I specialize in Kubernetes orchestration on AWS (EKS), Google Cloud (GKE), and on-premises clusters, implementing GitOps workflows with Flux and ArgoCD for declarative infrastructure management. My Infrastructure as Code (IaC) expertise includes Terraform and Pulumi for multi-cloud deployments, Ansible for configuration management, and Helm charts for application packaging. I implement comprehensive observability using the Prometheus/Grafana stack, OpenTelemetry, Datadog, and the ELK stack (Elasticsearch, Logstash, Kibana) for real-time monitoring and troubleshooting.
Whether you need to modernize legacy infrastructure, implement zero-downtime deployments, or establish SRE practices with SLOs, error budgets, and incident management, I deliver robust solutions. From container orchestration to chaos engineering, I build systems that self-heal, scale automatically, and provide the reliability your business demands.
CI/CD Pipeline Design
- Complete pipeline automation with GitHub Actions, GitLab CI, Jenkins
- GitOps workflows with ArgoCD and Flux for declarative deployments
- Zero-downtime deployments with blue-green and canary strategies
- Automated testing integration (unit, integration, e2e, load tests)
Container Orchestration
- Kubernetes clusters on AWS EKS, Google GKE, Azure AKS, on-prem
- Helm charts for application packaging and release management
- Service mesh implementation with Istio, Linkerd for traffic management
- Auto-scaling (HPA, VPA, Cluster Autoscaler) for cost optimization
Infrastructure as Code
- Terraform for multi-cloud infrastructure provisioning (AWS, GCP, Azure)
- Ansible for configuration management and application deployment
- Pulumi for infrastructure with TypeScript, Python, Go, C#
- CloudFormation for AWS-native infrastructure management
Observability & Monitoring
- Prometheus & Grafana for metrics collection and visualization
- OpenTelemetry for distributed tracing and metrics
- ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging
- Datadog, New Relic integration for APM and infrastructure monitoring
Security Integration (DevSecOps)
- SAST/DAST security scanning (SonarQube, Snyk, Trivy, Clair)
- Secret management with Vault, AWS Secrets Manager, Sealed Secrets
- Container security scanning and hardening (Falco, Aqua Security)
- Compliance automation (CIS benchmarks, PCI-DSS, HIPAA)
SRE Practices & Incident Management
- SLO/SLI definition and error budget management
- Incident management workflows (PagerDuty, Opsgenie integration)
- Chaos engineering for resilience testing (Chaos Monkey, Litmus)
- Post-mortem analysis and continuous improvement processes
DevSecOps & SRE Tools & Technologies
CI/CD & Automation
Container & Orchestration
Monitoring & Observability
Security Tools
Business Impact of DevSecOps & SRE
Reduce deployment time from weeks to minutes with automated CI/CD
Achieve 99.99% uptime with SRE best practices and proactive monitoring
Cut infrastructure costs by 40% with container orchestration and auto-scaling
Detect and fix security vulnerabilities before production deployment
Reduce MTTR (Mean Time To Recovery) by 80% with automated incident response
Scale effortlessly from 100 to 100,000+ users with cloud-native architecture