Rahul Maheshwari

In Kubernetes, HPA uses a fixed 10% tolerance for both scale-up and scale-down. Meaning, HPA waits for at least 10% change in CPU/memory usage before adding or removing pods For example, If you set 70% as the usage target, Kubernetes would only scale up if it went above 77%, and scale down if it went below 63%. Here is the problem with with fixed 10%? Sometimes you want the system to react quickly when traffic spikes. Other times, you want it to be more cautious to avoid constant scaling up and down. Now in Kubernetes v1.33 (alpha feature - HPAConfigurableTolerance), You can set separate tolerance levels for scaling up and scaling down. I have published a short guide with hands on example in my newsletter. 𝗥𝗲𝗮𝗱 𝗶𝘁 𝗵𝗲𝗿𝗲: https://lnkd.in/gyAJTMXS 10,000+ professionals read my DevOps newsletter I share deep dives and insights on Kubernetes, DevOps, Cloud, MLOps and GitOps ♻️ If you find this useful, Repost with your network! #kubernetes

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Don't Miss to save the post - kubernetes new features launches in 2025 and learn the complete k8 here for free https://lnkd.in/drShEQAa Kubernetes introduced several significant new features and enhancements in 2025, especially with the upcoming v1.34 release scheduled for August 27, 2025. Here are the key highlights: Dynamic Resource Allocation (DRA) Graduation:  The DRA framework, which allows more flexible allocation of devices like GPUs or specialized hardware through structured resource claims, is moving to stable. This enables better management and sharing of advanced hardware in clusters. ServiceAccount Tokens for Image Pull Authentication:  Kubernetes is enhancing security by letting kubelets use short-lived, OIDC-compliant ServiceAccount tokens for authenticating image pulls—removing the need for long-lived secrets and aligning with best practices for workload identity. Pod Replacement Policy for Deployments:  A new .spec.podReplacementPolicy (alpha) gives you control over how pods are replaced during Deployment updates or scaling—choose faster rollouts or stricter resource control, addressing needs for clusters with tight resources or slow pod terminations. Production-Ready Tracing in Kubelet and API Server:  Deep tracing powered by OpenTelemetry is reaching stability for both kubelet and API servers. This enables operators to track events from control plane to node, crucial for debugging and performance tuning across distributed environments. Fine-Grained Autoscaling Control:  Horizontal Pod Autoscaler (HPA) now allows per-HPA configurable tolerance, letting you override the default autoscaling tolerance (10%) for individual workloads. This supports more responsive or conservative scaling, tailored to specific needs. KYAML Support (Kubernetes YAML Dialect):  KYAML, a stricter and less ambiguous subset of YAML optimized for Kubernetes, is being introduced. It offers safer syntax, always double-quotes string values, supports comments, allows trailing commas, and aims to reduce YAML’s classic error risks. kubectl will support KYAML output. Traffic Distribution Improvements for Services:  The Service resource adds new traffic distribution options, letting you prefer endpoints in the same zone or node, not just “close” ones. This enhances performance and availability in multi-zone or multi-node setups. Other broader 2025 trends include: AI-driven automation and better multi-cluster management Edge/IoT workflow optimizations Advanced security defaults and developer experience improvements 📍Register for free devops course - https://lnkd.in/drShEQAa [Classes starting from next week] 📍Download the syllabus - https://lnkd.in/daARkKq7 📍Join our DevOps Whatsapp group - https://lnkd.in/gJ4cvV77 Do make sure to share and like the post and follow Praveen Singampalli for more such content

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🚀 𝗧𝗵𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗔𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗼𝗿 (𝗖𝗞𝗔) 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 ✨ Why this certification matters Kubernetes is the backbone of modern cloud-native applications. With containers powering DevOps, AI, and enterprise-scale workloads, certified Kubernetes administrators are in high demand. The CKA proves your ability to install, configure, and manage production-grade Kubernetes clusters—a critical skill for IT professionals today. ⚡ What makes CKA unique 100% hands-on exam – no multiple choice, only real tasks. Focused on real-world administration: networking, storage, troubleshooting, RBAC, and security. Respected across AWS, Azure, and Google Cloud since Kubernetes is vendor-neutral. Ideal for IT professionals moving into Cloud, DevOps, and Platform Engineering roles. 📘 How to prepare effectively Use the official CNCF curriculum as your study guide. Practice daily with Kubernetes labs (kind, minikube, or cloud providers). Take mock exams under timed conditions to simulate the real environment. Strengthen Linux and container fundamentals—they are tested heavily. 👉 If you want to level up your cloud and DevOps career, CKA is one of the best investments in 2025. Check out the eBook for more insights. 🎯𝙋𝙧𝙚𝙥𝙥𝙞𝙣𝙜 𝙛𝙤𝙧 𝙘𝙡𝙤𝙪𝙙 𝙘𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨? 𝙰𝚆𝚂 / 𝙶𝙲𝙿 / 𝙰𝚣𝚞𝚛𝚎?  𝚃𝚑𝚎𝚜𝚎 pdf 𝚍𝚘𝚠𝚗𝚕𝚘𝚊𝚍𝚜 𝚑𝚊𝚟𝚎 𝚊𝚌𝚝𝚞𝚊𝚕 𝚚𝚞𝚎𝚜𝚝𝚒𝚘𝚗𝚜 𝚝𝚑𝚊𝚝 𝚊𝚙𝚙𝚎𝚊𝚛 𝚘𝚗 𝚝𝚑𝚎 𝚝𝚎𝚜𝚝.  Plus this site is full of FREE Guides. https://lnkd.in/gUkdFtin 🔥 𝑹𝒆𝒂𝒍 𝑸𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔. 𝑹𝒆𝒂𝒍 𝑺𝒖𝒄𝒄𝒆𝒔𝒔. #AWS #Azure #GoogleCloud #CloudCertifications #CloudCertificationStore #CKA #Kubernetes #DevOps #CloudNative #Containers #Microservices #CloudSecurity #CloudComputing #KubernetesAdmin #Cloud #Innovation #CloudExperts #Docker #CKAD #CKS #CloudOps #PlatformEngineering #SiteReliabilityEngineering #SRE #ITCertifications #CareerGrowth #FutureOfWork #CertificationJourney #CloudCareers #DigitalTransformation #CloudTraining #Upskill #ExamPrep #MockExams #ITJobs #TechCareers #LearningNeverStops

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#Kubernetes Journey – Day 8: Volumes & Persistent Volumes In Kubernetes, containers are ephemeral – once a Pod is deleted or restarted, its data is lost. That’s where Volumes & Persistent Volumes (PV) come into play. 🔹 Volume – Provides storage to a Pod, ensuring data is available during container restarts inside the same Pod. 🔹 Persistent Volume (PV) – A cluster-wide storage resource that exists independently of Pods. 🔹 Persistent Volume Claim (PVC) – A request made by a Pod to use storage from a PV. ✅ Key Takeaways: Volumes solve the ephemeral nature of containers. PVs abstract the underlying storage (NFS, AWS EBS, GCP PD, Azure Disk, etc.). PVCs let developers request storage without worrying about backend implementation. StorageClasses automate dynamic provisioning of volumes. 💡 Real-World Example: Imagine running a database Pod (MySQL/Postgres) – you cannot afford to lose data every time the Pod restarts. By using PVCs with PVs, you ensure your data persists reliably. #Interview Question for You: Q.What is the difference between Volume, PV, and PVC in Kubernetes? #Kubernetes #DevOps #CloudComputing #Containers #LearningJourney Pod → PVC → PV → Storage

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Ever wondered how to protect your Kubernetes workloads during maintenance or node scaling? In this video, I break down Pod Disruption Budgets - what they are, why they matter, and how to configure them effectively. 💡 What’s Inside? ✅ Clear explanation of PDB concepts ✅ Real-world scenarios where PDB saves the day ✅ Step-by-step hands-on demonstration in Kubernetes ✅ Tips for avoiding downtime during voluntary disruptions Whether you’re a Kubernetes beginner or an experienced DevOps engineer, this session will help you confidently set up PDBs and keep your applications running smoothly. Watch now and level up your Kubernetes reliability game! #Kubernetes #DevOps #SRE #Cloud Native Computing Foundation (CNCF) #PodDisruptionBudget https://lnkd.in/dm4wCnUh

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It’s a common pattern. A few capable SREs or infra engineers start building out pipelines, provisioning scripts, and internal tooling. Before long, someone starts calling it a “platform.”  But when you take off the label, you find a handful of overburdened experts duct-taping critical workflows together with no shared roadmap, no service boundaries, and no time to think beyond immediate delivery. What makes a true platform team isn’t tooling expertise. It’s alignment on purpose and practice. Does your team have a clear definition of what internal DevEx actually means in your context? Do you have a shared mental model around service ownership, product thinking, and feedback loops? Do you know where the platform ends and app teams begin or are you stuck in a constant tug-of-war over support tickets and blurry responsibilities? Training helps you build that model. Not in abstract, but rooted in the real decisions your team makes every week: how to structure a golden path, how to define API contracts between dev and platform teams, how to version and evolve the platform like a product, not a static system. We bring your team through those frameworks together, so everyone in infra, dev, security, even management can speak the same language. And we don’t stop there. Through ongoing advisory, we stay close to your real problems. We pair with your tech leads. We evaluate decisions not just for technical soundness, but for cultural alignment and long-term sustainability. Because what you need isn’t just a more skilled team. You need a cohesive one, operating with clarity and purpose. That’s how platform transformations stick. If you’re curious about how that might look inside your org, explore the details here👉https://lnkd.in/dfTaZyAV

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Starting your Kubernetes certification journey? Here’s how I like to explain it 👇 CKAD → is like learning to drive the car 🚗 You master how to use Kubernetes to deploy and manage apps smoothly. CKA → is like learning to repair the car 🔧 You understand how the cluster works under the hood and how to fix it when things break. CKS → is like learning to secure the car 🛡️ You make sure no one can hijack or misuse your cluster. Whichever stage you’re at, just keep driving, fixing, and securing until Kubernetes feels like second nature. 💪 #Kubernetes #DevOps #CKAD #CKA #CKS #CloudNative #LearningJourney

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You can code and run your MCP server remotely on Kubernetes. Here's how: 1. Write code which conforms to the MCP standards. What does this mean? it means, it should work with JSON RPC 2.0 and can process standard MCP methods such as tools/list should send the name and description of the tools, tools/call should be able to invoke the tools etc. These standards are defined by Anthropic 2. You can either code the methods for MCP yourself, which can be tedious. Or use MCP implementation with library like FastMCP 3. Run Dockerfile to create a container and save it in ECR 4. Deploy to the Kubernetes cluster such as in Amazon EKS, and expose it using a ALB via service or ingress. ALB and container support streamable HTTP out of the box, and works nicely 5. Invoke your MCP Server using the ALB Url. For Streamable HTTP, you need to initialize a session, and then use the sessionID for subsequent calls to do tool discovery, and tool calls Check out detailed step by step demo, along with related codes, and pros-cons of local vs remote MCP server: https://lnkd.in/eXKENy6R --- Get byte sized system design, behavioral, Gen AI, and other interview and career switch tips in weekly newsletter : https://lnkd.in/eG7XdHmN #genai #ai #systemdesign

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🚢 What is Kubernetes? aka K8s – the powerful container orchestration tool that’s revolutionizing how we deploy and manage apps! 💻🌍 🧠 In simple terms: Kubernetes = A traffic controller 🚦 for your containerized apps 🧳 It helps you run your apps anywhere, scale them automatically, and recover quickly from crashes 🔁⚙️ 📦 Key Features: ✅ Auto-scaling ⬆️⬇️ ✅ Self-healing 💉 ✅ Load balancing ⚖️ ✅ Rollouts & rollbacks 🔄 ✅ Platform-agnostic (cloud, on-premise, hybrid) ☁️🏠🌐 🧰 Works perfectly with: 🐳 Docker | ☁️ AWS/GCP/Azure | 📂 Helm | 🔧 CI/CD tools | 🔐 Secrets & ConfigMaps 🔥 If your app is in containers, Kubernetes is the tool that keeps it running — smartly, reliably, and automatically. 💬 “Build it, ship it, scale it — with Kubernetes 🚀” #Kubernetes #K8s #Containers #DevOps #CloudComputing #Docker #CloudNative #Microservices #Helm #KubeCTL #AWS #Azure #GCP #PlatformEngineering #SRE #SiteReliabilityEngineering #CloudEngineer #InfrastructureAsCode #Terraform #CI_CD #TechTrends #DevOpsEngineer #CloudArchitecture #DigitalTransformation #SoftwareEngineering #OpenSource #SelfHealingSystems #CloudNativeApps #HybridCloud #MultiCloud #KubernetesCluster #KubeCon #Automation #Orchestration #ITInfrastructure #DeveloperTools #SysAdmin #PlatformOps #EngineeringCulture #AgileDevelopment #BackendEngineering #DevSecOps #ScalingApps #KubernetesMaster #CloudDeployment #KubernetesPods #DockerKubernetes #Serverless #IaC #CloudSolutions #CloudStrategy #KubernetesDeployment #AppScaling #CloudMonitoring #Prometheus #Grafana #Observability #KubernetesCommunity #DevLife #TechTalk #TechLeadership #TechTools #ContainerizedApps #CloudSecurity #ModernApps #DigitalOps #CodeNewbie #EngineeringGoals #TechInnovation #ITTrends #KubernetesLove #SRELife #OpenSourceTools #MicroservicesArchitecture #ManagedKubernetes #CNCF #DevOpsCulture #ModernInfrastructure #OpsEngineer #TechCareer #TechLearning #ContainersEverywhere #TechWorld #KubernetesForAll #CloudDevelopers #DevOpsLife #CloudBased #LearningK8s #DevOpsCommunity #CloudEngineerJobs #SoftwareInfra #CI_CD_Pipeline #ResilienceEngineering #CodeToCloud #AgileOps #TechUpSkill #KubernetesTraining #ServerInfra #TechWizards #CloudWarrior #KubernetesForBeginners #CloudNativeJourney #BuildDeployScale

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If you’re working with Kubernetes, here are 6 scaling strategies you should know — and when to use each one. Before we start — why should you care about scaling strategies? Because when Kubernetes apps face unpredictable demand, you need scaling mechanisms in place to keep them running smoothly and cost-effectively. Here are 6 strategies worth knowing: 1. Human Scaling ↳ Manually adjust pod counts using kubectl scale. ↳ Direct but not automated. When to use ~ For debugging, testing, or small workloads where automation isn’t worth it. 2. Horizontal Pod Autoscaling (HPA) ↳ Changes pod count based on CPU/memory usage. ↳ Adds/removes pods as workload fluctuates. When to use ~ For stateless apps with variable load (e.g., web apps, APIs). 3. Vertical Pod Autoscaling (VPA) ↳ Adjusts CPU/memory requests for existing pods. ↳ Ensures each pod gets the right resources. When to use ~ For steady workloads where pod count is fixed, but resource needs vary. 4. Cluster Autoscaling ↳ Adds/removes nodes based on pending pods. ↳ Ensures pods always have capacity to run. When to use ~ For dynamic environments where pod scheduling fails due to lack of nodes. 5. Custom Metrics Based Scaling ↳ Scale pods using application-specific metrics (e.g., queue length, request latency). ↳ Goes beyond CPU/memory. When to use ~ For workloads with unique performance signals not tied to infrastructure metrics. 6. Predictive Scaling ↳ Uses ML/forecasting to scale in advance of demand. ↳ Tries to prevent traffic spikes before they happen. When to use ~ For workloads with predictable traffic patterns (e.g., sales events, daily peaks). Now know this — scaling isn’t one-size-fits-all. The best teams often combine multiple strategies (for example, HPA + Cluster Autoscaling) for resilience and cost efficiency. What did I miss? • • • If you found this useful.. 🔔 Follow me (Vishakha) for more Cloud & DevOps insights ♻️ Share so others can learn as well

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🚀 Learning Kubernetes Can Be 100% Free & 100% Project-Based! Forget endless tutorials — my 4 + 2 blog series on Medium will teach you practical Kubernetes through real-world projects. Kubernetes Blogs 1️⃣ Stop Over-Complicating Kubernetes: The right way to start learning. https://lnkd.in/g_qM4hFK 2️⃣ Building Your First Real Kubernetes Application. https://lnkd.in/gXn8C74h 3️⃣ Deploy a Production-Ready 3-Tier App on AWS EKS (React + Flask + Postgres with RDS, ALB, Route53, IAM, EC2) https://lnkd.in/g6A8RKFx 4️⃣ Add Free SSL Certificates to Your Kubernetes App on EKS. https://lnkd.in/g-mwaePg 💡 But first, master Docker before diving into Kubernetes! Docker Blogs 5️⃣ Everything You Need To Know About Docker https://lnkd.in/gC6DfRrJ 6️⃣ Run Multi-Container Apps with Docker Compose https://lnkd.in/gwFwTMeS 🔁 Repost to help others learn for free. 🔔 Follow DevCloud Partners → https://lnkd.in/ghK387-w

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