BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:Real systems. Real engineers. Real lessons. X-WR-CALDESC:Real systems. Real engineers. Real lessons. NAME:Platform Engineering meet-up - July 25 X-WR-CALNAME:Platform Engineering meet-up - July 25 REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:Platform Engineering meet-up - July 25 TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Druid at 700 MBps: how we stopped babysitting our observability st ack DTSTART:20260725T093000Z DTEND:20260725T101500Z DTSTAMP:20260726T005243Z UID:session/4G1HMH8QtS6fPML8uDnjcp@hasgeek.com SEQUENCE:2 CATEGORIES:Talk (30 mins),Bangalore meet-ups CREATED:20260725T101938Z DESCRIPTION:{Describe your session in 2 paragraphs}\nConfluent's observabi lity platform handles around 7 million events per second. Apache Druid is what makes that work. It's where our metrics land and where every dashboar d\, alert\, and on-call investigation eventually pulls from. This session is about how we actually operate Druid in production: how we lay out inges tion\, the data modeling choices that bit us before they helped us\, and t he kinds of failures you only really learn about by hitting them.\nI'll sp end most of the time on the two changes that made the biggest difference f or us. The first is how we split our clusters into a scraping tier for ing estion and recent queries\, and a historical tier for older data. The seco nd is the set of automations we built to handle the stuff Druid operators see all the time: stuck tasks\, segments that won't balance\, queries that run forever\, coordinator weirdness. None of it is fancy\, but together i t's the difference between getting paged at 3am and not.\n\n{Mention 1-2 t akeaways from your session}\n1. How separating workloads\, rather than jus t scaling a single system\, can solve a class of reliability problems that more capacity won't.\n\n2. A practical way to think about which operation al pain points are worth automating away\, and which ones aren't.\n\n{Whic h audiences is your session going to beneficial for?}\nSREs and platform e ngineers running observability or large-scale data systems\, and anyone th inking about how to scale operations without scaling the on-call rotation. The patterns will land hardest if you operate a real-time analytics or me trics store\, but most of the ideas apply to any stateful data infrastruct ure under heavy load.\n\n{Add your bio - who you are\; where you work}\nPa rth Agrawal\, Senior Software Engineer at Confluent. I have been working o n the observability platform behind Confluent Cloud for the last 3 years. LAST-MODIFIED:20260725T102119Z LOCATION:Bangalore ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/rootconf/platform-engineering-meet-up-july-25/sche dule/druid-at-700-mbps-how-we-stopped-babysitting-our-observability-stack- 4G1HMH8QtS6fPML8uDnjcp BEGIN:VALARM ACTION:display DESCRIPTION:Druid at 700 MBps: how we stopped babysitting our observabilit y stack in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:From image chaos to control: introducing AVM (Agentic Vulnerabilit y Management) DTSTART:20260725T102000Z DTEND:20260725T110500Z DTSTAMP:20260726T005243Z UID:session/6cZS6Cngz2Q2UTGCMN4LU8@hasgeek.com SEQUENCE:3 CATEGORIES:Talk (30 mins),Bangalore meet-ups CREATED:20260725T101952Z DESCRIPTION:__Session Description__\nAt Acceldata\, managing container ima ge sprawl\, addressing vulnerabilities\, and maintaining compliance across scaling cloud-native environments became a complex and fragmented challen ge. To solve this\, we built AVM (Agentic Vulnerability Management) - an e nterprise-grade platform designed to centralize and secure container image management. By acting as a unified control plane for container security\, AVM transforms security from a reactive bottleneck into an automated\, co llaborative workflow.\n\nDesigned specifically for DevOps\, platform\, and development teams\, AVM enables continuous vulnerability scanning\, polic y-driven governance and automated remediation via custom AI agents develop ed solely for vulnerability tracking and fixing. It automates the entire i mage lifecycle - from discovery and analysis to fix and promotion - ensuri ng that only secure\, compliant\, and pre-approved images reach production . By integrating security natively into the deployment workflow\, AVM sign ificantly reduces operational overhead while simultaneously boosting devel oper velocity and strengthening your overall security posture.\n\n__Key Ta keaways__\n- Security as a Platform Primitive (Secure-by-Default): Learn h ow platform teams can easily provision trusted\, pre-approved base images\ , establishing a robust and uncompromising security baseline across all Ku bernetes environments.\n\n- Drastically Reduced DevOps Overhead: Discover how to effectively automate vulnerability scanning\, strict policy enforce ment\, and seamless image promotion to minimize manual toil and operationa l complexity.\n\n__Target Audience__\nThis session is highly beneficial fo r:\n- DevOps Engineers and Site Reliability Engineers (SREs)\n- Platform E ngineering Teams\n- Release Management Teams\n- Cloud Security Practitione rs\n\n__Speaker Bios__\nDhanish Siddharth Bandaru: Dhanish is a Software E ngineer on the DevOps team at Acceldata\, specializing in container securi ty and platform engineering within cloud-native environments. He builds an d operates robust systems for vulnerability management\, CI/CD automation\ , and infrastructure workflows. His work focuses on delivering scalable\, automated solutions that simultaneously enhance developer productivity and ensure secure software delivery.\n\nHarshdeep Dhiman: Harsh is a Senior S oftware Engineer specializing in DevOps\, cloud-native systems\, and datab ase management. He designs and builds scalable\, automated infrastructure and backend systems with a strong focus on CI/CD pipelines\, containerised environments\, and database performance and reliability.He works on impro ving system efficiency\, ensuring secure and seamless software delivery\, and optimizing data workflows to support high-performance applications in production environments.\n\n__Additional Resources__\nAVM Blog: https://en gineering.acceldata.io/from-image-chaos-to-control-how-avm-brings-automati on-and-lineage-to-container-security/ LAST-MODIFIED:20260725T102137Z LOCATION:Bangalore ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/rootconf/platform-engineering-meet-up-july-25/sche dule/from-image-chaos-to-control-introducing-avm-agentic-vulnerability-man agement-6cZS6Cngz2Q2UTGCMN4LU8 BEGIN:VALARM ACTION:display DESCRIPTION:From image chaos to control: introducing AVM (Agentic Vulnerab ility Management) in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Keep calm and fail over: engineering chaos on CloudNative Postgres clusters DTSTART:20260725T111000Z DTEND:20260725T115500Z DTSTAMP:20260726T005243Z UID:session/9Rjz9u98E662gf9dQNUPJr@hasgeek.com SEQUENCE:2 CATEGORIES:Talk (30 mins),Bangalore meet-ups CREATED:20260725T102000Z DESCRIPTION:**Session Description** \n\nWhile Kubernetes is brilliant for stateless workloads\, running stateful workloads like relational database s on it often introduces operational fragility. Many teams reach for manag ed cloud databases or hand-built operators\, resulting in inconsistent pat terns and manual failovers. In this session\, we will share Nutanix's jour ney of migrating our diverse PostgreSQL footprint to a unified\, Kubernete s-native solution using CloudNativePG (CNPG). We will walk through the com plexity gap of database challenges in Kubernetes\, why we evaluated and ad opted CNPG over other operators\, and how its declarative state management and built-in replication capabilities helped us achieve seamless self-hea ling.\n\nTo validate this resilience\, we battle-tested CNPG using Chaos E ngineering with Chaos Mesh. We didn't just break things and hope for the b est\; we employed a hypothesis-driven approach to inject network partition s\, pod failures\, and resource exhaustion into our primary and replica no des. We'll share our methodology for modeling SLAs\, our chaos experiments (such as primary network partitioning and kube-apiserver disruptions)\, a nd how these tests proved CNPG's robustness. Attendees will see how we ens ured fast\, clean failovers and prioritized data correctness over availabi lity during split-brain scenarios\, ultimately managing over 500 applicati ons across 30+ clusters with confidence.\n\n**Takeaways**\n\n- **Operation al Efficiency & Resilience:** Discover how to efficiently run Postgres wor kloads in cloud-native environments by leveraging a declarative operator f or automated reconciliation\, day-2 operations\, and self-healing.\n- **Va lidating High Availability with Chaos Engineering:** Learn how to implemen t a hypothesis-driven chaos testing methodology to prove built-in failover mechanisms\, validate RPO/RTO thresholds\, and ensure data consistency un der infrastructure stress.\n\n**Target Audience** \n\nThis session is hig hly beneficial for Platform Engineers\, Site Reliability Engineers (SREs)\ , DevOps practitioners\, and Database Administrators who are looking to ru n or manage highly available stateful workloads (specifically PostgreSQL) on Kubernetes at scale.\n\n**Speaker Bios**\n\n**Vishal Sharma** is a Memb er of Technical Staff at Nutanix focused on distributed systems and cloud- native infrastructure. Over the past three years\, he has tackled complex platform engineering challenges\, including scaling observability pipeline s with OpenTelemetry and building robust developer tooling and platform au tomation. He is currently working to ensure high availability for stateful workloads on Kubernetes using CloudNativePG.\n\n**Rutwij Nerkar** is a Me mber of Technical Staff at Nutanix and has over 4 years of experience work ing with distributed systems and platforms at scale. With previous experie nce of building systems at scale in product companies\, he's currently tac kling platform engineering challenges at Nutanix and working on building a robust Postgres experience using CloudnativePG. LAST-MODIFIED:20260725T102035Z LOCATION:Bangalore ORGANIZER;CN=Rootconf:MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/rootconf/platform-engineering-meet-up-july-25/sche dule/keep-calm-and-fail-over-engineering-chaos-on-cloudnative-postgres-clu sters-9Rjz9u98E662gf9dQNUPJr BEGIN:VALARM ACTION:display DESCRIPTION:Keep calm and fail over: engineering chaos on CloudNative Post gres clusters in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR