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DESCRIPTION:Real systems. Real engineers. Real lessons.
X-WR-CALDESC:Real systems. Real engineers. Real lessons.
NAME:Platform Engineering meet-up - Nov 8
X-WR-CALNAME:Platform Engineering meet-up - Nov 8
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Platform Engineering meet-up - Nov 8
TIMEZONE-ID:Asia/Kolkata
X-PUBLISHED-TTL:PT12H
X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:Check-in
DTSTART:20251108T091500Z
DTEND:20251108T093000Z
DTSTAMP:20260421T032822Z
UID:session/6Tsq8u6Y4B7iezj1pHeZL6@hasgeek.com
SEQUENCE:1
CREATED:20251027T073836Z
LAST-MODIFIED:20251027T073840Z
LOCATION:Inmobi\, Bangalore
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Check-in in 5 minutes
TRIGGER:-PT5M
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Introduction to the meet-up
DTSTART:20251108T093000Z
DTEND:20251108T094000Z
DTSTAMP:20260421T032822Z
UID:session/13tgSGZwCU3hvpyAHWWGD7@hasgeek.com
SEQUENCE:2
CREATED:20251027T073857Z
GEO:12.9351;77.6942
LAST-MODIFIED:20251027T075123Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Introduction to the meet-up in Ground floor Cafeteria in 5 min
 utes
TRIGGER:-PT5M
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END:VEVENT
BEGIN:VEVENT
SUMMARY:With great pipelines comes great responsibility: standardizing mul
 ti-region deployments @Razorpay
DTSTART:20251108T094000Z
DTEND:20251108T101500Z
DTSTAMP:20260421T032822Z
UID:session/PqteuTi7fAKEJXJ6sq3dzN@hasgeek.com
SEQUENCE:4
CATEGORIES:Talk (30 mins)
CREATED:20251027T073939Z
DESCRIPTION:### Description\nIn early 2024\, Razorpay’s deployments live
 d peacefully in a single region - Mumbai. Life was simple until expansion 
 to Singapore began. Suddenly\, our “mostly standardized” Spinnaker pip
 elines - each with its own flavor of pre-checks\, canary analysis\, and se
 cret sauce - turned into a spaghetti mess across 150+ pipelines (that too 
 with only a subset of services). Manual edits\, mislinked pipelines\, and 
 a checkout page outage later\, we realized: leaving even a `0.6%` chance o
 f error in production is still too much chaos for comfort.\n\nThis talk is
  about how we turned that chaos into order by building **standardized\, po
 licy-enforced\, and template-driven Spinnaker pipelines**. We’ll walk th
 rough how we codified deployment safety via **Pipeline-Templates**\, built
  **custom stages** for Helm releases and multi-stage canaries\, and implem
 ented **regional isolation** with distributed Spinnakers. Along the way\, 
 we’ll share our lessons from migrating three regions (Mumbai → Singapo
 re → US)\, introducing MCP (Prompt → Pipeline) tooling for self-serve 
 adoption\, and how this foundational work unlocked larger initiatives like
  Cell Automation and cross-region deployment safety. Think of it as infras
 tructure evolution told through the lens of *‘Ramayana for Pipelines’*
  - where chaos had to cross the ocean to reach production safely.\n\n### *
 *Takeaways**\n\n1. **Blueprint for Multi-Region Deployment Safety:** Learn
  how to evolve from ad-hoc pipelines to policy-enforced\, reusable templat
 es that scale across geographies.\n2. **Balancing Innovation and Control:*
 * See how to enable safe experimentation (like Mirror Analysis) without le
 tting chaos slip through production.\n\n### **Who Should Attend**\n\nThis 
 session will resonate with **DevOps engineers\, SREs\, platform teams\,** 
 and **infra architects** who deal with multi-region deployments\, Spinnake
 r at scale\, or the “joys” of pipeline drift. If you've ever lost slee
 p over a mislinked pipeline - or want to prevent it before it happens - th
 is one's for you.\n\n### **Speaker Bio**\n\n**Nanda Kishore** is a Softwar
 e Engineer at **Razorpay**\, working on large-scale deployment infrastruct
 ure and release safety across global regions. He has led Razorpay’s tran
 sition from single-region to multi-region deployments\, building the found
 ations for Cell-based architecture and standardized release tooling. When 
 not refactoring pipelines or debugging canary rollouts\, he enjoys “vibe
 -coding” small visual tools to make his life easier - and occasionally\,
  to keep chaos at bay.
GEO:12.9351;77.6942
LAST-MODIFIED:20251027T075111Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/platform-engineering-meet-up-nov-8/schedu
 le/with-great-pipelines-comes-great-responsibility-standardizing-multi-reg
 ion-deployments-razorpay-PqteuTi7fAKEJXJ6sq3dzN
BEGIN:VALARM
ACTION:display
DESCRIPTION:With great pipelines comes great responsibility: standardizing
  multi-region deployments @Razorpay in Ground floor Cafeteria in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q&A and transition
DTSTART:20251108T101500Z
DTEND:20251108T102500Z
DTSTAMP:20260421T032822Z
UID:session/WShiFVPRkyChUcwNPNFmi2@hasgeek.com
SEQUENCE:3
CREATED:20251027T074031Z
GEO:12.9351;77.6942
LAST-MODIFIED:20251027T075118Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Q&A and transition in Ground floor Cafeteria in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Demo - Designing a test observability platform: from smarter build
 s to AI-driven RCA
DTSTART:20251108T102500Z
DTEND:20251108T104000Z
DTSTAMP:20260421T032822Z
UID:session/AxXWHnfhesyCJpwuJHQqu6@hasgeek.com
SEQUENCE:6
CATEGORIES:Demo (5-10 mins)
CREATED:20251027T074135Z
DESCRIPTION:Session Description \n\nIn this session\, we will explore how 
 to design a Test Observability Platform that provides deep visibility into
  tests\, builds\, and failures across the CI/CD pipeline. The platform com
 bines data from logs\, traces\, and test reports to deliver actionable ins
 ights\, enabling teams to detect\, analyze\, and resolve failures much fas
 ter. We will discuss how selective builds\, coverage-based test selection\
 , and shift-left vulnerability scanning fit into this platform to improve 
 developer feedback and overall quality.\n\nThe session will also cover how
  AI/ML can be applied to observability data for smarter triage and root ca
 use analysis (RCA). By correlating signals from OpenSearch (logs)\, Jaeger
  (traces)\, and ReportPortal (test outcomes)\, the platform can classify f
 ailures\, detect anomalies\, and suggest probable root causes. Attendees w
 ill learn how to architect such a system\, the trade-offs involved\, and h
 ow it drives efficiency for engineering and QA teams.\n\nKey Takeaways \n\
 nHow to design a Test Observability Platform that unifies build optimizati
 on\, test execution\, and RCA.\n\nHow to apply AI/ML on observability data
  (logs\, traces\, reports) for faster and more accurate failure analysis.\
 n\nTarget Audience\n\nQA and Test Engineers who want deeper visibility int
 o test executions.\n\nDevOps/SRE teams working on scalable and reliable CI
 /CD pipelines.\n\nArchitects and Engineering Managers looking to shift-lef
 t testing and observability in their organizations.\n\nBio\n\nI am a Princ
 ipal Engineer at Acceldata\, driving developer productivity through scalab
 le CI/CD\, observability\, and automation. My work includes building AI-po
 wered agents for build failure analysis\, designing reliable release and t
 est infrastructures\, and integrating DevSecOps practices across pipelines
 . I focus on microservices optimization\, distributed tracing with Jaeger\
 , and centralized log management with OpenSearch. Additionally\, I create 
 engineering dashboards for real-time visibility into builds\, deployments\
 , and test metrics. My goal is to enable faster feedback cycles\, higher c
 ode quality\, and secure\, resilient delivery pipelines.
GEO:12.9351;77.6942
LAST-MODIFIED:20251107T132709Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/platform-engineering-meet-up-nov-8/schedu
 le/designing-a-test-observability-platform-from-smarter-builds-to-ai-drive
 n-rca-AxXWHnfhesyCJpwuJHQqu6
BEGIN:VALARM
ACTION:display
DESCRIPTION:Demo - Designing a test observability platform: from smarter b
 uilds to AI-driven RCA in Ground floor Cafeteria in 5 minutes
TRIGGER:-PT5M
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Q&A and transition
DTSTART:20251108T104000Z
DTEND:20251108T105000Z
DTSTAMP:20260421T032822Z
UID:session/BvriJGsHgcKTzh62qzu6i@hasgeek.com
SEQUENCE:3
CREATED:20251027T074128Z
GEO:12.9351;77.6942
LAST-MODIFIED:20251107T132714Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Q&A and transition in Ground floor Cafeteria in 5 minutes
TRIGGER:-PT5M
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Sponsored talk: Building Low-Latency ML Inference at Ad-serving Sc
 ale
DTSTART:20251108T105000Z
DTEND:20251108T112500Z
DTSTAMP:20260421T032822Z
UID:session/9Je6yfQ2ESvzHWGz9Gr1Xn@hasgeek.com
SEQUENCE:8
CATEGORIES:Talk (30 mins)
CREATED:20251027T074042Z
DESCRIPTION:Ever wondered what it takes to run a low-latency\, high-throug
 hput ML platform serving over 3 million requests per second? In this talk\
 , we’ll dive deep into the engineering challenges of operating at extrem
 e scale — from handling synchronous ML inference in real-time ad serving
  to ensuring predictable latency under heavy load. We’ll explore the evo
 lution of our architecture — how Jetty-based application logic interacts
  with TensorFlow Serving in a latency-critical path.\n\nWe’ll discuss re
 al-world lessons on ML inference optimization\, timeout budgeting\, query 
 planner to optimise the I/O calls . You’ll learn how we tuned system con
 figs\, optimized model serving\, and built guardrails for graceful degrada
 tion without hurting user experience — all while running in production a
 t massive scale.\n\nKey Takeaways:\n\nPractical strategies to reduce ML in
 ference latency in high-QPS environments.\nDesign patterns and system conf
 igs that help achieve consistent sub-100ms response times under real-world
  load.\n\nWho Should Attend:\n\nBackend Engineers building latency-sensiti
 ve or ML-driven systems.\nMLOps & Infra Engineers managing large-scale mod
 el deployments.\nArchitects designing scalable\, fault-tolerant inference 
 and serving pipelines.\n\nSpeaker Bio\nShivam Gupta\nStaff Engineer @Inmob
 i \nDSP team\n\n
GEO:12.9351;77.6942
LAST-MODIFIED:20251107T132716Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/rootconf/platform-engineering-meet-up-nov-8/schedu
 le/building-low-latency-ml-inference-at-ad-serving-scale-9Je6yfQ2ESvzHWGz9
 Gr1Xn
BEGIN:VALARM
ACTION:display
DESCRIPTION:Sponsored talk: Building Low-Latency ML Inference at Ad-servin
 g Scale in Ground floor Cafeteria in 5 minutes
TRIGGER:-PT5M
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Closing notes
DTSTART:20251108T112500Z
DTEND:20251108T113500Z
DTSTAMP:20260421T032822Z
UID:session/8aWseHErMtqJYBJfaEVVLW@hasgeek.com
SEQUENCE:2
CREATED:20251027T074230Z
GEO:12.9351;77.6942
LAST-MODIFIED:20251027T075143Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Closing notes in Ground floor Cafeteria in 5 minutes
TRIGGER:-PT5M
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END:VEVENT
BEGIN:VEVENT
SUMMARY:Networking
DTSTART:20251108T113500Z
DTEND:20251108T120000Z
DTSTAMP:20260421T032822Z
UID:session/yzwam1UQF5Uw9D3v5djuC@hasgeek.com
SEQUENCE:2
CREATED:20251027T074239Z
GEO:12.9351;77.6942
LAST-MODIFIED:20251027T075148Z
LOCATION:Ground floor Cafeteria - Inmobi\nBengaluru\nIN
ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com
BEGIN:VALARM
ACTION:display
DESCRIPTION:Networking in Ground floor Cafeteria in 5 minutes
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