Lior Levi

Every DevOps engineer learns Kubernetes — but only a few become Golden Kubestronauts, earning all 14 CNCF certifications. Your flight path: ✅ K8s Core: KCNA, KCSA, CKA, CKAD, CKS ✅ Service Mesh & Networking: ICA, CCA ✅ Observability: PCA, OTCA ✅ GitOps & Delivery: CAPA, CGOA ✅ Platform & Policy: CBA, KCA ✅ System Foundations: LFCS With the KodeKloud Golden Kubestronaut Cohort, you’ll: - Learn with peers in a private Discord - Stay accountable with expert check-ins - Compete via leaderboards - Access full resources for exams & real-world skills 🏅 Certifications prove knowledge. The Cohort makes you industry-ready. Ready for launch - https://kode.wiki/4mLZunA

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𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗹𝗲𝘃𝗲𝗹 𝘂𝗽 𝘆𝗼𝘂𝗿 𝘁𝗲𝘀𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻? 𝗧𝗲𝘀𝘁 𝗦𝗺𝗮𝗿𝘁𝗲𝗿. 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝗙𝗮𝘀𝘁𝗲𝗿. Meet NAX – 𝗡𝗮𝗿𝘄𝗮𝗹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝗫, the AI-powered framework that 𝗯𝗼𝗼𝘀𝘁𝘀 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗯𝘆 𝟯𝟬%. From self-healing scripts to parallel execution with Docker, NAX unifies Selenium, Playwright, Cypress, and more into one powerful framework built for DevOps, Agile, and CI/CD pipelines. ➡️Cut maintenance with AI-driven self-healing ➡️Streamline execution across platforms ➡️Accelerate releases with built-in scalability ➡️Future-proof your QA strategy Developed by Narwal’s Quality Engineering experts, NAX is your gateway to faster, smarter, and scalable testing. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗡𝗔𝗫: https://lnkd.in/eAZw-Kuk #TestSmarter #AutomateQualityTesting #NAXFramework #AIinTesting #DevOpsReady #NarwalServices #AutomationExcellence #TestingInnovation #ReliableReleases #FutureOfTesting #ManualAndAutomationBalance #CI_CDTesting

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🚧 From monolithic pain to microfrontend gain. At Druva, we faced the classic scale problem: → Slow builds → Complex test cycles → Coupled components that broke each other So, we built a multi-level microfrontend architecture — with shared utilities, reusable core components, and workload-specific UI layers. The result? ⚡️ 5x faster builds ✅ 50% boost in dev velocity 📦 Scalable code reuse across teams Curious how it all works? https://ow.ly/5iN050WAcMN

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Zadara was built from the ground up as a multi-tenant cloud, aligning natively with NVIDIA’s recommendations. Here’s how Zadara meets and exceeds the reference design expectations: -Native Multi-Tenancy -Full-Stack Workload Support -Per-Tenant Kubernetes Environments -Elastic Resource Allocation -Global Edge Presence Read more: https://lnkd.in/eTCu6rTF

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📈 We released DuckDB 1.4.0 today. This is our first LTS release that comes with one year of community support. 👉 The new release packs many new features for security, data lake support and productivity: swipe below for a quick summary. ⏱️ For a more complete list of performance optimizations, distribution improvements and new integrations, see the announcement blog post – link in the comments.

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DevPod is a client-only tool to create reproducible developer environments based on a `devcontainer.json` on any backend such as the local computer, a Kubernetes cluster, any reachable remote machine or a VM in the cloud. More: https://ku.bz/rgGxSdg6T

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Observability isn’t just about metrics, it’s about momentum. 📈 In this new case study, #SUSE Observability helped the #Longhorn project team uncover hidden #Kubernetes misconfigurations, accelerating root cause analysis and reinforcing reliability across #CNCF projects. This is the power of topology-aware #insights, #automated discovery and #OpenSource collaboration. SUSE is proud to support the #cloudnative community with tools that go beyond the dashboard. Explore how SUSE #Observability is reshaping #Kubernetes health and performance. Read the full story https://okt.to/DltK1V #CloudNative #Kubernetes #Observability #OpenSource #CNCF #SUSE #Longhorn #RancherPrime

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Kubernetes service doesn't load balance. Here is why 👇 By default, the kube-proxy component in Kubernetes uses iptables for routing requests. (Supports IPVS as well) We were curious about how it manages load balancing behind the scenes, and we discovered something interesting: a feature in iptables called 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰 𝗺𝗼𝗱𝗲 𝗿𝗮𝗻𝗱𝗼𝗺 𝗽𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆. This feature is part of iptables and is used for packet filtering and network address translation. It allows you to create rules that match a specific percentage of packets at random. For example, we tested a service endpoint pointing to a three-pod deployment. It showed statistic mode random probability as 0.33 , essentially balancing the load across the three pods. It is more of a probabilistic traffic distribution, rather than actual load balancing. - It doesn't consider the actual load on the servers. - It doesn't guarantee an even distribution of traffic over time. - It doesn't maintain session persistence You might wonder, "Is it necessary to understand Kubernetes at this level?" The answer is Yes & No 😀 In one implementation, we encountered a major routing issue. By looking at the iptables rules, we ruled out any cluster configuration issues and pinpointed the problem. We cover many topics like these in our CKA course in bonus sections. 𝗖𝗵𝗲𝗰𝗸 𝗶𝘁 𝗼𝘂𝘁: https://lnkd.in/gGbQ5vYf If you have something to add, please drop a comment. #kubernetes #devops

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Skip the Kubernetes headaches 😵‍💫 dstack CEO Andrey Cheptsov shares how this open-source tool makes AI dev, training, and deployment seamless on Vultr, powered by NVIDIA GPUs for top performance ⚡️ #AI #CloudGPU #DevTools https://lnkd.in/g8eYujTe

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