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🎓 Education: Master of Computer Applications (MCA) & Bachelor of Computer Applications (BCA). ⚙️ Role & Specification: DevOps Engineer & Software Engineer, focusing on Cloud Infrastructure, Kubernetes & Automation. 🌱 Currently working with: Kubernetes, Docker, Terraform, Ansible, AWS, Azure & CI/CD. 💡 I enjoy solving real-world problems through cloud automation and scalable system architecture. ⚡ Fun fact: I love designing futuristic worlds and storytelling through animation. |
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| Time of Day | Commits | Percentage | Progress |
|---|---|---|---|
| 🌞 Morning | 766 | 16.51% | █████░░░░░░░░ (16%) |
| 🌤 Daytime | 1,865 | 40.19% | ███████████░░░░ (40%) |
| 🌙 Evening | 1,375 | 29.63% | █████████░░░░░░ (30%) |
| 🌑 Night | 634 | 13.66% | ███░░░░░░░░░░░ (14%) |
| 🏆 GitHub Achievements | 📂 Storage Used | 🔓 Public Repositories | 🔒 Private Repositories |
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Click on a trend below to expand and read details slowly. Hover over the slideshow above to pause it.
1️⃣ Cloudflare Traces Turns the Proxy Layer into OpenTelemetry Spans, with New Volume-Based Pricing | 🏷️ Cloud & DevOps
Concept Overview: Cloudflare has put Traces into open beta, extending automatic tracing from Workers to security rules, transformations, cache, routing and origin handling as OpenTelemetry spans. Traces accept and forward W3C traceparent headers, and Trace Rules allow targeted sampling. Pricing moves to ingestion and retention volume from December 1. By Steef-Jan Wiggers
Implementation Use Case: Configuring container clusters, multi-stage CI/CD pipelines, and serverless architectures.
Strategic Value: Reduces operational overhead and ensures automatic scalability under traffic.
🔗 Read the full article on the market trends page
2️⃣ Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale | 🏷️ Emerging Tech
Concept Overview: Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale: Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitoring with an AI-driven operational ontology and agentic workflows using Claude and graph databases. They explain how unifying MELT telemetry into queryable knowledge graphs enables automated triaging, root-cause analysis, and self-healing systems. By Prasanna Vijayanathan, Renzo Sanchez-Silva
Implementation Use Case: Applying Presentation: tools to modern development pipelines.
Strategic Value: Boosts system efficiency using new engineering frameworks.
🔗 Read the full article on the market trends page
3️⃣ WU leads NSF grant for the teaching of software engineering | 🏷️ Emerging Tech
Concept Overview: WU leads NSF grant for the teaching of software engineering Willamette University
Implementation Use Case: Applying WU tools to modern development pipelines.
Strategic Value: Boosts system efficiency using new engineering frameworks.
🔗 Read the full article on the market trends page
| 👥 Followers | 👤 Following | 🚫 Not Following Back |
|---|---|---|
| 400 | 345 | 2 |
Last updated: 2026-10-09 11:48 UTC
 Antony-Raju |
 centxyz |
Total: 2
🔹 Interests : AI | Blockchain | Cybersecurity | Animation | Storytelling
🎯 Hobbies : Coding | Writing | Exploring New Tech Trends | Gaming
