Suraj P.

About Suraj P.

My expertise spans:Turning Unknown Unknowns into Known Savings. Large-scale infrastructure automation (Python • K8s • Ansible • Chef • Puppet • GoLang) with battle tested roadmaps that eliminate cost surprises before they eliminate your budget. Your infrastructure scales, Your costs don\'t.Recently, I build and lead high-performance observability platforms at enterprise scale handling 10M+ metrics per second, 5M+ log lines per second, and 300K+ traces per second. Final Footprint : 250TB/day (post-compression) Compression ratio: Achieving 100x compression on metrics and 10x on log data.My Goal is to make invisible problems visible and expensive problems cheap. Faster detection. Faster fixes. Faster releases.It not only empowering engineering teams with self-service observability that eliminates bottlenecks and accelerates everything from incident response to product launches. But its also measurable uptime improvements, reduced operational costs, and compressed time-to-market.My Expertise doesn\'t just solve problems it changes trajectories. Small course corrections early create exponential advantages later. I believe team either compounds success or compounds technical debt. There\'s no middle ground.

Experience

1. Principal Software Engineer (Sre)

   Zscaler

   Sep 2024 — Present · Hyderabad, IN

   Passionate About Making Data Meaningful and Reliable at Scale.Building unified telemetry correlation to automatically detect anomalies and generate actionable alerts across metrics, logs, and traces.Architected observability platform at scale: • 10M+ metric queries/sec • 4M log lines/sec • 100K tracing spans/sec. • Daily ingest volumes across multiple dataplanes reach over 200 TB per day, covering all MELT, RUM, and continuous profiling.Championing best practices in observability and infrastructure, empowering teams with actionable insights and scalable solutions.Solving Large-Scale Observability Challenges with OpenTelemetry Standards.Driving the adoption of MELT (Metrics, Events, Logs, Traces) and its correlation.Adhering to data governance laws, enhancing data relevance and security.Building advanced tooling for seamless integration.Created a standardised onboarding process for users to ensure consistent and seamless integration with the platform.Advocating Best Practices and Scalable Automation.Architecting automation platforms for runtime ad-hoc activities like auto-remediation triggered by alerts. Focusing on platforms suited for a self-service model to empower users and streamline operations.

Education

• University of Mumbai

  BSc, Information Technology

  2011

Skills

• Performance Analysis
• Shell Scripting
• Grafana
• Nginx
• Server Monitoring
• Kibana
• Ruby
• Apache Kafka
• Mysql
• Docker
• Amazon Web Services (Aws)
• Servers
• Icinga
• Databases
• Puppet
• Linux
• Netscaler
• F5 Bigip
• Sensu
• Graphite
• Nagios
• Apache Mesos
• Python
• Ansible
• Linux System Administration