ELANGO SENTHILNATHAN

i2, Inc. was using Jenkins for CI/CD, but costs and maintenance were both running high. “We hosted all the Jenkins infrastructure ourselves, and struggled to reliably spin up executors on demand,” Anthony Carr-Smith shared. “We desperately needed to modernize our builds. We wanted to move to a product that we didn’t have to worry about maintaining, leaving us to focus on the important stuff.” Find out what happened after switching to CircleCI by reading the full story: https://circle.ci/3UyiYQO #CICD #DevOps #developers

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Kubernetes management doesn’t have to be complex. Many organizations face challenges in scaling, automating, and seamlessly integrating Kubernetes clusters into their workflows, which often leads to frustrating delays and operational bottlenecks. But HostSpace Kubernetes Engine (HKE) is here to change that. With HKE, we’ve taken the most common Kubernetes hurdles and turned them into stepping stones for innovation and efficiency: ✔ Automation at Its Core: Spend less time on manual configurations and more time on what truly matters. HKE’s automation features streamline everything from setup to scaling. ✔ Easy Provisioning: Quickly and easily spin up clusters that are ready for deployment, reducing setup time and minimizing errors. ✔ Seamless CI/CD Integration: Our platform is designed to work harmoniously with your CI/CD pipelines, simplifying deployment processes and ensuring rapid, reliable rollouts. Ready to simplify your Kubernetes journey?  HostSpace HKE is here to make cluster management easy, scalable, and efficient. Discover more about HKE: hostspaceng.com #Kubernetes #ClusterManagement #Automation #HostSpace #CloudSolutions

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With the rapid pace of the cloud-native ecosystem, staying current with Kubernetes updates and managing upgrades becomes a daunting task for many organizations. In this KubeFM episode, Mathew discusses the necessity of long-term support for Kubernetes and explores the intricacies of managing Kubernetes upgrades. You will learn: - The importance of long-term support (LTS) for Kubernetes and how it can alleviate the challenges associated with the platform's rapid release cycles. - Strategies for managing Kubernetes upgrades, including insights into the release cycle and the potential pitfalls of the upgrading process. - The role of managed services and semi-automatic upgrades in simplifying Kubernetes maintenance for organizations, especially in cost optimization and resource constraints. - The implications of charging for support of older Kubernetes versions and the potential for a community-based approach to navigating the complexities of Kubernetes upgrades. Watch it here: https://lnkd.in/gEtcM2Gb 🙏 Many thanks to Learnk8s for supporting our work and sponsoring this issue. Make sure to check out their Kubernetes training courses https://lnkd.in/e6mjaXf With 🎙Bart "Spanish KubeKong" Listen to KubeFM on: - Apple Podcast https://kube.fm/apple - Spotify https://kube.fm/spotify - Amazon Music https://kube.fm/amazon - Overcast https://kube.fm/overcast - Pocket casts https://lnkd.in/g7wur3iJ - Deezer https://kube.fm/deezer

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Have you heard about Kyverno? It's a powerful policy engine designed specifically for Kubernetes. With Kyverno, you can: - Validate, Mutate, and Generate - Kubernetes resources effortlessly. - Secure your software supply chain by verifying OCI image signatures and artifacts. - Manage policies using familiar tools like `kubectl`, `git`, and `kustomize` - no need to learn a new language! Kyverno integrates seamlessly into your CI/CD pipeline, ensuring compliance, security, and automation at every step. 🌟 Check it out on GitHub: [Kyverno](https://lnkd.in/dguXtbFP)   Learn more: [Kyverno.io](https://kyverno.io/) #Kubernetes #DevOps #CloudNative #PolicyManagement #Kyverno 🔗 Let's connect and discuss how Kyverno can enhance your Kubernetes workflows!

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Upgrading Kubernetes clusters and add-ons is a complex, error-prone, and time-consuming process... Teams typically spend weeks researching unknown dependencies and discovering incompatibilities, followed by extensive efforts to seek approvals, notify team members, and address API deprecations and removals with application teams. Chkk simplifies it with a comprehensive and up-to-date upgrade technical specification for a cluster, add-ons, and associated infrastructure components. Our Preverified Upgrade Plan: - Provides a detailed description of changes, the reasons behind them, and the recommended upgrade path - Reduces research time by up to 75%, turning weeks of prep work into days Don't wait—let Chkk handle your upgrades: https://www.chkk.io #kubernetes #kubernetesmanagement #devops #sre #k8s

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In this week's #BTLOReplay, Malik will guide you through the retired lab, Rekcod, which utilizes Docker. See what we did there? 😉 Watch it here and subscribe: https://bit.ly/4dbzFso #BTLO #BlueTeamLabs #Docker

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☁️ How AWS Solution Architects Build Scalable Solutions 🚀 AWS Solution Architects design robust, scalable, and efficient systems using key services like Elastic Load Balancing, Auto Scaling, and Amazon RDS: ⚖️ Elastic Load Balancing ensures seamless traffic distribution for high availability and fault tolerance. 📈 Auto Scaling dynamically adjusts resources to handle peak loads and optimize costs during low demand. 💾 Amazon RDS provides a scalable, secure, and reliable database solution to manage critical data. Together, these tools enable businesses to grow effortlessly while maintaining top-notch performance and reliability. #AWS ☁️ #CloudComputing 🚀 #ScalableSolutions #TechInnovation #AutoScaling #AmazonRDS #LoadBalancing #CloudTechnology #DigitalTransformation #DevOps #DataManagement #TechCareers #ITInfrastructure #FutureOfTech #HighAvailability

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Whether your applications run smoothly can make or break the user experience. The Kubernetes readiness probe is one tool that can help to manage your K8s clusters. Learn how it works and why: https://bit.ly/4emo8qh #Kubernetes #Cloudnative

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Managing variables in Terraform is essential for flexibility and security in infrastructure automation. Terraform offers several methods to define and prioritize variables, crucial in dynamic environments like CI/CD pipelines.

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Consider this: Only 13% of CPUs are utilized in Kubernetes. Big thanks to Kubernetes Community Day (KCD) New York for inviting Philip Andrews to share how you can optimize your Kubernetes clusters and cut costs using automation.

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Announced at #AWSreinvent: Cribl now supports AWS Private Image Build! 🔐 How do you ensure your telemetry pipelines stay secure and compliant? With Cribl Stream and Cribl Edge, combined with AWS Private Image Build, you can create Amazon Machine Images (AMIs) tailored to your specific requirements. This lets you build “golden” or “hardened” AMIs that meet your organization’s security and compliance standards. 💡 Learn how to create a secure, compliant, and consistent Cribl deployment across your entire environment with AWS Private Image Build: https://lnkd.in/epMDUKcr

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🚀 We just launched a new API endpoint that allows you to create and manage Kubernetes Efficiency Reports! Users who manage many clusters can now easily create multiple reports at once to see cost efficiency down to the pod level of a cluster. This endpoint reduces manual effort to help you view quicker, more comprehensive insights into Kubernetes cost efficiency. Find out more about how to get started here: https://lnkd.in/evHf_tpr

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Amazon Aurora vs. Amazon RDS: Explore our comprehensive blog that compares these two AWS database services. We cover performance metrics, cost considerations, and key features to assist in selecting the best option for your requirements. Read: https://lnkd.in/dVs8zBDW #AWS #AmazonAurora #AmazonRDS #DatabaseServices #CloudComputing #CloudOptimo

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Co-Founder and CEO Amir Krayden shares the A-Z of Kubernetes observability – including: ➡️A glossary of key Kubernetes observability concepts – and an overview of traditional open-source tooling for making sense of monitors, logs, and traces ➡️Examples of effective Kubernetes monitoring strategies ➡️ The first 5 challenges your organization will face around implementing and scaling Kubernetes observability Check out his latest blog post for his take on the challenges and opportunities around K8s observability (link in the comments below).

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Announcing Firefly Workflows—simplify the way you deploy infrastructure using Terraform with your existing CI/CD solution. 🚀 GitOps Automation → Meet IaC Accelerate your cloud operations and manage infrastructure with unparalleled confidence. With Workflows you can enhance your IaC pipeline with GitOps automation for superior efficiency and reliability, all while leveraging your existing tech stack. 🌟 Features of Firefly Workflows: ✅ Simplify IaC Automation: Automatically generate a new IaC pipeline or integrate into your existing pipeline in GitHub, GitLab, and more.  ✅ Gain Visibility and Insights: Visualize all planned changes to your cloud resources and show their relationships. ✅ Prevent Undesired Changes: Secure your code by automatically preventing policy violations and excessive costs. ✅ Get a Post-Deployment Rundown: View post-provisioning insights into cloud activities, streamline debugging, and manage your asset inventory. Couple Workflows with Firefly’s cloud control plane to solve cloud complexity. Link to try in comments 👇

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Platform engineering is the new standard for infrastructure. That means HashiCorp #Terraform is becoming the core engine for platform teams. Watch Armon Dadgar outline what platform engineers need to know about Terraform. https://bit.ly/3SWHee7

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What are your thoughts on running stateful workloads on Kubernetes across data centers or in a multi-cluster setup? Stateful applications challenges Scaling across multiple data centers or clusters. Data replication and consistency Latency and storage solutions How are you tackling issues like data consistency, networking, and disaster recovery? 🛠️ What tools or strategies have worked for you? ⚡ Is it worth the effort, or do you prefer keeping stateful workloads in single regions? I’d love to hear your experiences and insights on managing stateful apps in these environments! Let’s get the discussion started!👇 #Kubernetes #DevOps #CloudComputing #MultiCluster #StatefulWorkloads #K8s #TechTalk #CloudNative

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We asked Kubernetes expert Eddie Wassef this question: Q: "Why should you consider running your databases on Kubernetes?" A: “Why wouldn’t you run your database on Kubernetes?” Eddie explains that, similar to VMs and bare metal, Kubernetes provides a standard that allows you to focus solely on your applications without worrying about the underlying infrastructure. Whether it's networking, monitoring, resiliency, storage, or other needs, Kubernetes can offer these capabilities and more, right out of the box for your stateful systems. What's your take? Share it with us in the comments. #Kubernetes #VMs #DatabaseManagement

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