Krishna Chaitanya Gadhiraju (GK)

🚀 Insightful session by Pankaj Arora at #KCDBLR25 on building the next-gen Kubernetes platform! Learned essential strategies on operator standardization, seamless upgrades, and rock-solid disaster recovery for critical apps.#Kubernetes #CloudNative

1

GCP Know-How : — Containerize with Kubernetes (and when you actually should) When containerization makes sense * 🚀 Frequent releases & need for consistent builds across dev/test/prod * 🧩 Microservices (independent scaling, rollouts, and ownership) * ⚖️ Auto-scaling & cost control for spiky traffic * 🌍 Portability across envs/clouds (standard runtime, fewer “works on my machine” issues) * 🔐 Strong isolation and policy control (pod security, least-privilege, secrets) When it might not * Simple web/API with low ops needs → consider Cloud Run first * Heavy stateful monoliths w/ rare changes → stick to VMs or refactor first * If your team can’t support k8s SRE practices yet → start managed/serverless --- Now lets look at how to containerize using GCP . ### Fast path on GCP (GKE Autopilot) 1) Dockerize your app (example: You can opt for Python Flask) 2) Build & push to Artifact Registry 3) Create a GKE Autopilot cluster 4) Deploy (Deployment + Service) --- ### Production tips * 🔐 Secrets: use Secret Manager + Workload Identity (no long-lived creds) * 📈 Autoscale: enable HPA (CPU/RAM or custom metrics) * 🧪 Resilience: health probes, PodDisruptionBudgets, PodAntiAffinity * 🧭 Observability: Cloud Logging/Monitoring, request tracing; structured logs * 💸 Cost: Autopilot + Spot Pods for non-critical workloads; right-size requests/limits --- One thing to Note : If you need multi-service orchestration, fine-grained policy, or complex rollouts → GKE. If you just need to run a single container with minimal ops → Cloud Run. As far as traditional Data Engineering scenarios go, in most migration requests (like moving from SAP system or a Hadoop system or Teradata data marts to cloud), this doesn't demand a containerization, unless there is a stand-alone app with independent libraries, that run frequently (which is rare) #GoogleCloudPlatform #Kubernetes #containerization #pods #Microservices #GKE #Docker 

9

Top Kubernetes (K8s) Troubleshooting Techniques – Part 1 Regardless of its popularity, there can be times where even the most seasoned DevOps engineers must troubleshoot Kubernetes. While it excels at handling containerised applications at scale, it can present unique troubleshooting challenges.  In this post, we’ll explore the top 10 Kubernetes troubleshooting techniques that every DevOps engineer should master. These K8s troubleshooting tips come from real-world scenarios, showing how to solve common and critical Kubernetes issues quickly and reliably. https://lnkd.in/dmvgeq8Y #kubernetes #k8s #cncf #tips #troubleshooting

10

Cloud isn’t just about spinning up VMs or deploying services anymore… especially in Google Cloud (GCP). What I’ve been realizing lately is that the real value comes from how you design things — not just what you deploy. You can build the same workload in GCP in 10 different ways: 1. One that works 2. One that scales 3. One that’s secure 4. And one that won’t surprise you with the bill at the end of the month The difference? Experience and thinking ahead. Lately, I’ve been focusing more on: - Designing with failure in mind (zones, regions, HA) - Keeping things simple (overengineering is real) - And making sure cost + security are part of the design from day one GCP gives you powerful tools — but it also gives you enough flexibility to make mistakes if you're not careful. Curious to hear from others: What’s one lesson GCP taught you the hard way?

33

What We Bookmarked on AWS Builder Center — January 2026 📌 Learn how to implement CQRS on AWS: Lambda + DynamoDB + Streams + OpenSearch (by Bhawesh Kumar) Highlights: CQRS separates the write path (commands) from the read path (queries) and keeps a read-optimized model in sync via asynchronous events. AWS implementation: API Gateway → Command Lambda → DynamoDB (write model) and DynamoDB Streams → Projector Lambda → Amazon OpenSearch Service (read model), with Query Lambda serving queries from OpenSearch. “Eventual consistency” explained in practical terms + options when lag matters (read-your-own-write, “Processing…” UI, or a direct write-model read endpoint). Production checklist that matters: idempotency, DLQ + replay, ordering/concurrency assumptions, observability (alarms + stream lag dashboard), and security (least privilege, KMS, VPC considerations, Cognito/JWT auth). Read the blog to learn more➡️ https://go.aws/3LZslYa

14

Most “we adopted OTEL” stories stop at config. This one from Sanket Rajgiri gets into the gotchas of OTEL collector processors in Kubernetes, what actually broke in prod, and how to handle them without blowing up costs. If you are running OTEL collectors on Kubernetes and things feel fragile or expensive, this will feel uncomfortably familiar. Read more: https://lnkd.in/dFThi8Re

7

At AI World Vegas, Oracle’s Sharat Chander told The Times of India that young engineers can stay relevant by strengthening their fundamentals — from concurrency and performance tuning to API design — and using AI tools to accelerate, not replace, learning. https://lnkd.in/grPC4vD6

5

1 Comment

🎬 From Messy Clicks to Terraform Magic: Simplifying Cloud Infrastructure Ever felt lost in the world of cloud infrastructure? 💻 Clicking endlessly in AWS/Azure/GCP can be overwhelming, especially when you’re just starting with Terraform. I created a simple guide that explains Terraform like making a movie — where: > Infrastructure = Movie Set > Terraform = Director > Cloud Provider = Crew building the set Inside, you’ll find: > Beginner-friendly explanations of infrastructure and Terraform > Movie-inspired analogies for Terraform commands and files > Step-by-step workflow: init → plan → apply → destroy > A sample Terraform file you can try yourself Download the guide here: I’d love to hear your thoughts! If you have a better way to explain Terraform or an analogy that clicked for you, drop it in the comments. Let’s make learning cloud infrastructure fun and easy together! 🚀 #Terraform #InfrastructureAsCode #CloudComputing #AWS #Azure #GCP #DevOps #LearningTogether

5

𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 🔹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻𝗶𝗻𝗴: Used Terraform to build the entire VPC, subnets, and security groups. 🔹 𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Deployed across multiple Availability Zones with an 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 (𝗔𝗟𝗕). 🔹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗙𝗶𝗿𝘀𝘁: Hosted application instances in 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝘀𝘂𝗯𝗻𝗲𝘁𝘀, using 𝗡𝗔𝗧 𝗚𝗮𝘁𝗲𝘄𝗮𝘆𝘀 for secure outbound access. 🔹 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: The Django app is fully 𝗗𝗼𝗰𝗸𝗲𝗿𝗶𝘇𝗲𝗱 and bootstrapped via user-data scripts. 🔹 𝗦𝗺𝗮𝗿𝘁 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: Implemented 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽𝘀 (𝗔𝗦𝗚) with CPU-based policies to handle load spikes efficiently.

7

Building resilient APIs means preparing for the unexpected: network timeouts, impatient users, and retry logic gone wild.   Here's a great new article by Pasindu Prabhashitha on idempotency patterns, covering how to ensure your endpoints handle duplicate requests gracefully, with a complete .NET implementation walkthrough.   Essential reading for anyone building production APIs that handle critical operations. Trust us, your future self (and your users) will thank you. link in the comments 👇 #Idempotency #KnowledgeShare #LifeAtAscentic #SweLankan

26

2 Comments

We’re excited to welcome Akshay kumar to KCD Delhi 2026 with his session, 𝗔𝗜-𝗔𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗣𝗼𝗹𝗶𝗰𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗞𝘆𝘃𝗲𝗿𝗻𝗼. Akshay is an Open Source Evangelist at Obmondo, working closely with Kubernetes security, policy management, and GitOps-driven platforms. Kubernetes policy management is powerful but often slow and error-prone at scale. This session shows how AI can supercharge Kyverno, enabling teams to generate, validate, and optimize Kubernetes policies from natural language while staying secure and GitOps-friendly. 𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗮𝘁𝘁𝗲𝗻𝗱 𝘁𝗵𝗶𝘀 𝘀𝗲𝘀𝘀𝗶𝗼𝗻? ✔ See a live demo of AI-generated Kyverno policies that turn plain English requirements into production-ready YAML ✔ Learn how to automate policy audits, drift detection, and remediation in GitOps pipelines using Kyverno and tools like Argo CD ✔ Understand the pitfalls, security considerations, and best practices for using LLMs safely in policy and compliance workflows

64

9 Comments

At #KubeCon India last week, we interviewed many cloud-native veterans about their experiences and lessons learned. Here’s Murali Krishna Ravipati, a #kubestronaut, sharing his advice on preparing for the #Kubernetes certifications!

66

3 Comments

Stuck keeping #Spring apps alive on #EC2 (or herding #Kubernetes) just to ship a few endpoints? ⚙️ What if #Java on #AWS #Lambda could meet your latency targets and cut the ops tax too? ⏱️💸 Good news! Serverless can be your escape hatch... Yes, Java runs great on AWS Lambda. You can hit realistic p95s, keep costs sensible, and still have a genuinely pleasant developer experience. ☕️ In this fresh episode of AWS Bites, I sit down with Mark Sailes (ex-AWS, Java-on-Lambda expert). We get practical: when Java is the right call for Lambda and when it isn’t, how SnapStart and provisioned concurrency actually help, which frameworks behave at startup (vanilla, #Micronaut, #Quarkus, Spring Boot), and how to test without drowning in brittle mocks (#Testcontainers, #LocalStack). 🧪🔧 If your stack feels like a cage, this episode points to the exits. 🧭🚪 🎧 Watch/listen: https://awsbites.com/148 Time to migrate your Java services to Lambda, let's get to work! 🚀 PS: Hope you enjoy the slightly hallucinated cover... no substances involved, unless you count the AI’s triple espresso. ☕️🤖 #Serverless #AWSBites #SnapStart #ProvisionedConcurrency #GraalVM #CloudEngineering

39

7 Comments

Sai Vennam, Principal Specialist Solution Architect, Container @ Amazon Web Services (AWS), shares three emerging Kubernetes tools: 1. Karpenter to select instances for Kubernetes workloads, making node provisioning more intelligent and efficient. 2. Kubeflow and Ray specifically designed to handle complex tasks like model training and inference at scale. 3. Kwok (Kubernetes without Kubelet) to simulate Kubernetes clusters with thousands of nodes without the actual hardware. Watch the full interview: https://ku.bz/yXYpPR_48

8

1 Comment

🚀 In case you thought we could only do two major IAM launches in a day..we're not done yet. Today we're ALSO proud to launch another new feature, "IAM Temporary Delegation". This is a feature that's designed to make it easier for AWS customers to onboard with AWS partners. Built on top of familiar security primitives like IAM and Cloudtrail, this is another way we're making it simpler to use AWS.

46

5 Comments

🚀 Sneak Peek! We’re thrilled to present our newly released title — 𝐔𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐄𝐥𝐚𝐬𝐭𝐢𝐜 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒 authored by Jatinder Singh, Manpreet Kour, and Aneesh Varghese, technically reviewed by Adit N Modi. 💡 𝐖𝐡𝐚𝐭’𝐬 𝐈𝐧𝐬𝐢𝐝𝐞: ✅ Real-world EKS scenarios with hands-on labs and practical implementation guides. ✅ Step-by-step coverage — from cluster setup to production-grade scaling and security. ✅ Expert insights on cost optimization and cloud-native best practices in AWS. Whether you’re an aspiring DevOps professional or a cloud architect, this book will help you master Kubernetes on AWS — the practical way. A huge thank you to our talented authors and technical reviewer for their incredible contribution and expertise! 🙏 🛒𝐆𝐫𝐚𝐛 𝐲𝐨𝐮𝐫 𝐜𝐨𝐩𝐲 𝐧𝐨𝐰! 👉 For International Buyers (AVA):https://lnkd.in/gcvN-Vvf 👉 For Indian Buyers (AVA):https://lnkd.in/ghgjxKFE 👉 Amazon International: https://shorturl.at/8bPDp 👉 Amazon India: https://shorturl.at/qj4EZ #UltimateEKS #AWS #Kubernetes #CloudComputing #DevOps #CloudNative #BookLaunch #AVApublishing #OrangeEducation #Publishers #Technology #itandsoftware #AVA🚀

13

🚀 Just Launched! "AWS for Solutions Architects, Third Edition" by Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur is now available on Amazon! 🎉📘 This latest edition is your go-to guide for designing modern, secure, and scalable solutions on AWS, whether you're a seasoned architect or just starting your cloud journey. It’s packed with updated best practices, real-world architecture patterns, and expert insights straight from the field. 🌩️🏗️ 👉 Grab your copy now: https://lnkd.in/d-9ujAdZ Let’s build better on the cloud. 💡 #AWS #SolutionsArchitecture #CloudComputing #BookLaunch #AWSCommunity #Packt #NewRelease #AmazonWebServices

47

1 Comment