<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Events on AWS User Group Kozhikode</title><link>https://awsugkozhikode.in/events/</link><description>Recent content in Events on AWS User Group Kozhikode</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 28 May 2026 19:00:00 +0530</lastBuildDate><atom:link href="https://awsugkozhikode.in/events/index.xml" rel="self" type="application/rss+xml"/><item><title>Spot is a Lie for Stateful Containers</title><link>https://awsugkozhikode.in/events/spot-is-a-lie-for-stateful-containers/</link><pubDate>Wed, 27 May 2026 13:00:00 +0530</pubDate><guid>https://awsugkozhikode.in/events/spot-is-a-lie-for-stateful-containers/</guid><description>&lt;h2 id="spot-is-a-lie-for-stateful-containers">Spot is a Lie for Stateful Containers&lt;/h2>
&lt;p>As cloud-native architectures continue to evolve, understanding how to efficiently run stateful workloads on Kubernetes and Amazon EKS has become increasingly important.&lt;/p>
&lt;p>In this session, &lt;strong>Ishan Jain&lt;/strong> will share practical insights, production considerations, and real-world patterns around running stateful containers on Spot-backed EKS clusters.&lt;/p>
&lt;hr>
&lt;h3 id="speaker-profiles">Speaker Profiles&lt;/h3>
&lt;p>&lt;strong>Ishan Jain&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>AWS Community Builder&lt;/li>
&lt;li>SDE-II — MasterCard&lt;/li>
&lt;/ul>
&lt;hr>
&lt;h3 id="what-well-explore">What We’ll Explore&lt;/h3>
&lt;ul>
&lt;li>&lt;strong>Stateful Workloads&lt;/strong> on Kubernetes and EKS&lt;/li>
&lt;li>&lt;strong>Spot Capacity&lt;/strong> and workload behavior in production&lt;/li>
&lt;li>&lt;strong>Storage Considerations&lt;/strong> with Amazon EBS&lt;/li>
&lt;li>&lt;strong>Production-Ready&lt;/strong> architecture patterns&lt;/li>
&lt;li>&lt;strong>Cost Optimization&lt;/strong> tradeoffs in real-world deployments&lt;/li>
&lt;/ul>
&lt;hr>
&lt;h3 id="event-details">Event Details&lt;/h3>
&lt;ul>
&lt;li>&lt;strong>Date:&lt;/strong> 28 May 2026, Thursday&lt;/li>
&lt;li>&lt;strong>Time:&lt;/strong> 07:00 PM - 08:00 PM IST&lt;/li>
&lt;li>&lt;strong>Mode:&lt;/strong> Online (Register to receive meetup link)&lt;/li>
&lt;/ul>
&lt;p>🌐 &lt;strong>Register now:&lt;/strong> &lt;a href="https://awsugkozhikode.in">awsugkozhikode.in&lt;/a>&lt;/p></description></item><item><title>Learning to Debug AWS Infrastructure with Generative AI</title><link>https://awsugkozhikode.in/events/genai-debugging-aws-march-2026/</link><pubDate>Thu, 26 Mar 2026 00:00:00 +0000</pubDate><guid>https://awsugkozhikode.in/events/genai-debugging-aws-march-2026/</guid><description>&lt;h2 id="learning-to-debug-aws-infrastructure-with-generative-ai">Learning to Debug AWS Infrastructure with Generative AI&lt;/h2>
&lt;p>This session explored how Generative AI can transform the way we approach AWS infrastructure debugging — making the process faster, smarter, and more intuitive.&lt;/p>
&lt;p>&lt;strong>Speaker:&lt;/strong> Rima Sidique — DevOps Engineer, Aivar Innovations&lt;/p>
&lt;p>Part of the &lt;strong>#WomenSpeakerMonth&lt;/strong> initiative by AWS UG Kozhikode, celebrating women voices in the cloud community.&lt;/p>
&lt;h3 id="what-was-covered">What was covered&lt;/h3>
&lt;ul>
&lt;li>How Generative AI can assist in root cause analysis of AWS infrastructure issues&lt;/li>
&lt;li>Practical demonstrations of AI-assisted debugging workflows&lt;/li>
&lt;li>Tips for integrating AI tools into your DevOps practice on AWS&lt;/li>
&lt;/ul></description></item><item><title>Prompt to Production: From LLM Prompts to Production-Ready Infrastructure</title><link>https://awsugkozhikode.in/events/prompt-to-production-march-2026/</link><pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate><guid>https://awsugkozhikode.in/events/prompt-to-production-march-2026/</guid><description>&lt;h2 id="prompt-to-production-from-llm-prompts-to-production-ready-infrastructure">Prompt to Production: From LLM Prompts to Production-Ready Infrastructure&lt;/h2>
&lt;p>This online session covered the full journey from an initial LLM prompt to deploying production-grade infrastructure on AWS — bridging the gap between AI-assisted development and real-world cloud operations.&lt;/p>
&lt;p>&lt;strong>Speaker:&lt;/strong> Varadha B — DevOps Engineer, UROLIME&lt;/p>
&lt;p>Part of the &lt;strong>#WomenSpeakerMonth&lt;/strong> initiative by AWS UG Kozhikode.&lt;/p>
&lt;h3 id="what-was-covered">What was covered&lt;/h3>
&lt;ul>
&lt;li>Designing prompts that generate useful infrastructure code&lt;/li>
&lt;li>Evaluating and refining LLM-generated IaC (Terraform, CDK, CloudFormation)&lt;/li>
&lt;li>Testing and deploying AI-assisted infrastructure safely on AWS&lt;/li>
&lt;li>Best practices for production readiness when using Generative AI in DevOps workflows&lt;/li>
&lt;/ul></description></item><item><title>AWS Cloud Connect Meetup — AI/ML Edition (Inaugural)</title><link>https://awsugkozhikode.in/events/aws-cloud-connect-inaugural-jan-2026/</link><pubDate>Sat, 31 Jan 2026 00:00:00 +0000</pubDate><guid>https://awsugkozhikode.in/events/aws-cloud-connect-inaugural-jan-2026/</guid><description>&lt;h2 id="aws-cloud-connect-meetup--aiml-edition">AWS Cloud Connect Meetup — AI/ML Edition&lt;/h2>
&lt;p>The inaugural event of &lt;strong>AWS User Group Kozhikode&lt;/strong>, bringing together cloud enthusiasts from across Kozhikode and Kerala for a day of learning and community building.&lt;/p>
&lt;h3 id="speakers">Speakers&lt;/h3>
&lt;p>&lt;strong>Varsha Das&lt;/strong> — Developer Advocate, Amazon Web Services&lt;br>
&lt;strong>Dijeesh Padinharethil&lt;/strong> — Organiser, AWS User Group Kochi&lt;/p>
&lt;h3 id="what-was-covered">What was covered&lt;/h3>
&lt;ul>
&lt;li>Introduction to AI/ML services on AWS&lt;/li>
&lt;li>Real-world AI/ML use cases and implementations&lt;/li>
&lt;li>Community building and the AWS User Group ecosystem in Kerala&lt;/li>
&lt;li>Networking with local cloud professionals&lt;/li>
&lt;/ul>
&lt;p>This event marked the beginning of a growing cloud community in Kozhikode.&lt;/p></description></item></channel></rss>