I am an experienced Site Reliability Engineer (SRE) and DevOps Engineer, with a strong background in observability tooling, platform reliability, and cloud-native infrastructure development.
I specialize in building low-overhead monitoring solutions, developer tooling, and automation frameworks that improve system uptime, performance visibility, and operational efficiency.
My experience includes:
- Leading enterprise-scale observability initiatives using eBPF, Go, Shell, and Kubernetes.
- Building automation tools for SonarQube integration, code quality reporting, and security compliance across hundreds of repositories.
- Designing low-level system monitoring and distributed tracing solutions for cloud and hybrid environments.
I am passionate about bridging development, infrastructure, and operations to build resilient, scalable, and observable platforms.
- ๐ญ Developing observability tooling for metrics, distributed tracing, and runtime profiling using eBPF and Go.
- ๐ฑ Enhancing developer experience with automation scripts, CI/CD pipeline integrations, and GitHub tooling.
- ๐ ๏ธ Exploring system performance optimization and kernel-level monitoring for production workloads.
- Site Reliability Engineering (SRE): Incident response, system resilience, SLO management
- DevOps & Automation: Kubernetes, Terraform, Docker, CI/CD (Jenkins, GitHub Actions, GitLab CI)
- Observability Engineering: eBPF tracing, distributed tracing, metrics instrumentation, system profiling
- Cloud-Native Infrastructure: Kubernetes, GCP, RHEL, AIX, hybrid architectures
- Scripting & Development: Go, Shell scripting, GitHub CLI-based automation
- Security & Compliance: IAM, RBAC, vulnerability assessments, SonarQube integration
- Cross-Functional Leadership: Collaboration across DevOps, SRE, infrastructure, and product teams
- Technical Writing: Internal documentation, onboarding guides, blogs on observability and performance
- Advanced Kubernetes Observability with eBPF and distributed tracing
- Cloud infrastructure automation using Terraform and GitHub workflows
- Performance optimization for Linux systems through kernel instrumentation and profiling
- Developer workflow automation to streamline DevOps and SRE processes
I regularly share insights about observability engineering, SRE best practices, and DevOps tooling.
Stay tuned for technical deep dives on eBPF applications, performance tuning, and automation strategies!
I regularly write about technical product, observability, and system tooling.
Check out some of my recent posts:
- DEMYSTIFYING CONTAINER PROFILING WITH EBPF: A BEGINNERโS GUIDE
- ๐ DEMYSTIFYING KERNEL PANIC: A DEEP DIVE INTO A CRITICAL SYSTEM STATE ๐
- Diving Deep into dump_stack() in Linux Kernel Development! ๐ง
- Unraveling the Essence of KBUILD_MODNAME in Kernel Development ๐๐ฉโ๐ป
- Kernel Printk: A Journey Through Linux Logging! ๐ง
- eBPF Development: Kernel-level observability and performance tuning
- Developer Tooling: Building internal platforms to enhance DevEx
- Automation Techniques: Using Go and Shell for CI/CD and monitoring
- Code Quality & Compliance: Strategies for improving test coverage and reliability
- Email: anamika.sanjay16@gmail.com
- LinkedIn: Anamika Sanjay
- Blog: AnamikaDev
- Medium: @anamika.sanjay16
- YouTube: Anamika Sanjay
C | Go | Bash | Kubernetes | Docker | Linux | Fedora | Git | VS Code
Just a glimpse, for more visit my blog