Mehmet Erten

In this video you will learn about variables in Terraform and the variable precedence in Terraform. There are different variable types that you can declare in Terraform and pass values to variables in multiple ways, hence there is a precedence order. https://lnkd.in/gxt56Y4d #terraform #cloudcomputing #devops

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How to host trivy vulnerability DB in Azure Container Registry https://lnkd.in/dXfeMUKb #kubernetes #trivy #aquasec #security

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Komodor is a #Kubernetes simplification platform that makes it easier to troubleshoot, operate, and tune Kubernetes. In this post, I review a K8s Manual Troubleshooting Diagram created by Daniele Polencic of Learnk8s. I then compare manual troubleshooting K8s to automated troubleshooting of K8s using Komodor. You can find Daniele's original post here: https://lnkd.in/egePJyYB (subtitles by #zubtitle)

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Kubernetes Pods are designed as immutable objects. For example, when you update a Pod, a new one gets deployed. You can use ‘kubectl edit’ and change the existing Pod on the fly, but it definitely goes against declarative “best practices”. If you’re in a bind and you have to do that, fine… but it shouldn’t become a habit. #kubernetes #devops #platformengineering

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One of my small but useful example of AWS Lambda internal extensions. You can cleanup resources on AWS Lambda container shutdown (timeout and/or spin-down) with "Leanser" https://lnkd.in/dYRMRmm4

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𝐓𝐚𝐬𝐤 𝟑: 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐢𝐧𝐠 𝐀𝐥𝐞𝐫𝐭𝐬 𝐢𝐧 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬 𝐚𝐧𝐝 𝐃𝐢𝐬𝐩𝐥𝐚𝐲𝐢𝐧𝐠 𝐢𝐧 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 𝐓𝐚𝐬𝐤 𝟑 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬 𝐚𝐧𝐝 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 𝐭𝐫𝐚𝐜𝐤 𝐟𝐨𝐫 𝐀𝐫𝐭𝐡 𝟒.𝟎! 🎉 This task involved setting up alerts in Prometheus based on specific metric thresholds, such as CPU usage exceeding 80%, and visualizing these alerts within Grafana. 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 𝐑𝐮𝐥𝐞𝐬: Configured Prometheus alerting rules to monitor key metrics and trigger alerts when thresholds are crossed. 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Linked Prometheus alerts to Grafana, allowing for real-time visualization and easy tracking of critical metrics. 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: This setup provides proactive alerting for efficient resource monitoring and timely response to potential issues. For a complete guide on setting up Prometheus alerts and visualizing them in Grafana, check out my blog post: https://lnkd.in/gtVqqQA2 🚀 A big thanks to Vimal Daga Sir and my supportive peers MD Shanawaz, Avnish Kumar Thakur, Digambar Nandrekar, Md Sayeed Firoz, and Jibbran Ali! 💖 P.S. Follow Md Shams Firoz for more blogs like this to learn and grow! 🚀 #Arth4 #Prometheus #Grafana #Monitoring #Alerts #DevOps #RealTimeMonitoring

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Awesome to see that is borning a new way of creating and deploying Kubernetes Operators, but now written in C#. #dotnet #csharp #microsoft #kubernetes #k8s #k8soperator

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GenAI is automation 2.0 and it's no different for Kubernetes environments. When it comes to k8s, you can use GenAI for troubleshooting. For example (and this is what I love), NOT having to run `kubectl describe`, `kubectl events`, and `kubectl logs` for the millionth time. Instead, I can have a tool do it for me. In this blog post, you'll learn how to install and configure k8sgpt. https://buff.ly/46BHIfh #kubernetes #devops #platformengineering

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[FREE eBook] A Practical Guide to the Kubernetes Vertical Pod Autoscaler (VPA) by Daniele Polencic from LearnK8s The paper covers: - Practical advice on setting requests and limits - Insights into VPA's two modes: Recommender and Updater - Tips to handle Garbage-collecting languages, StatefulSets, and HPA Download your copy today! https://hubs.la/Q02xWPt90 #Kubernetes #k8s #VPA #HPA #devopstools #devops #learnk8s

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You can create your own Kubernetes extension (an Operator) to interact with whatever API you'd like (as long as you have access or it's public). When you create an Operator, you'd use something like Kubebuilder. Once you figure out a framework (like Kubebuilder) to use, you can use Go to programmatically configure how you want the Operator to look. Here's an example. #kubernetes #devops #platformengineering

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Node auto-provisioning a-la #Karpenter and friends takes a lot of guesswork out of #Kubernetes node selection. And once you augment it with data-driven automated pod right-sizing done by PerfectScale - you can finally have lean, reliable #Kubernetes clusters continuously optimized for cost and performance. And yet - as engineers we also very often need to provide estimations. The expected cost of infrastructure can decide the fate of that innovative information service you're launching. That's where the Kubernetes Instance Calculator by Learnk8s comes handy. Kudos to Daniele Polencic and the team for releasing this new improved version. Do: - use the calculator for node size and cost estimation - explore cloud provider instance types and their efficiency Don't: - rely on the calculator to configure your production clusters Want to learn more? Tune in to the webinar Matthew Parker and myself are hosting on July 30. (Link to webinar registration in the first comment.)

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Kubernetes Operators 👇 ➡ A combination of CustomResourceDefinitions (CRD) and Controllers. ➡ Gives you the ability to extend the Kubernetes API for your specific use case. ➡ Implements self-healing capabilities via the reconciliation loops within the Controllers. #kubernetes #devops #platformengineering

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Why is creating Kubernetes clusters still difficult? There shouldn't be a massive amount of configuration needed. k8s clusters should have: 1. The resources they need to run your app stack. 2. Ingress routes where necessary. 3. Proper secret management. 4. Scaling capabilities and that's it... So why the complexity? In this blog post, I break down a CLI-based approach for deploying Kubernetes because all you need is a few prompts to deploy a cluster. #kubernetes #devops #platformengineering https://buff.ly/3ZqviWk

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A new Kubernetes v1.31 update allows you to mount Container Images stored in OCI registries, directly as Volumes. This makes it much simpler to handle current challenges with previous versions. Love how K8s keeps improving on real problems. #kubernetes #devops #cloudcomputing

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Understanding Kubernetes: Building & Managing Clusters For Beginners (2024) - The structure of Kubernetes involves a cluster with multiple nodes managed by a control panel. - The control panel deploys applications to specific nodes based on resource usage. - Kubernetes utilizes networking features for connecting back-end and front-end components. - Nodeport allows applications to be accessible from outside the cluster. - The scheduler manages application deployment within the cluster. - There are advanced topics in Kubernetes that can be explored for further understanding. RELATED PLAYLIST LINK : https://lnkd.in/gf4-AqQ7 https://lnkd.in/gH-rwV2w We also provide free courses. Click the link to sign up and then call us. https://lnkd.in/g8rBwKju... https://ts4u.us/ Register Now for an Exclusive One-on-One Bootcamp 📞+1 (586) 276-7347 VISIT OUR ALL SOCIAL SITE HERE : Visit Our Facebook Page: https://lnkd.in/gv-dPVmW Follow Our Twitter: https://twitter.com/TS4U_ Instagram: https://lnkd.in/gggz69Et Visit Our LinkedIn: https://lnkd.in/gdgp6Nbu Visit Our Blogs: https://ts4u.us/blogs Please Visit Our Website : https://ts4u.us/ Please Like, Share, and Subscribe to Our Channel https://lnkd.in/gdZKk8Mh Contact Us: +1 (586) 276-7347 +1 (888) 533-5215 OUR BUSINESS EMAIL: [email protected] Our Office address: 30500 Van Dyke, Ste- 201 Warren, MI 48093 Our Location on Google map: https://lnkd.in/g4EqpwX2 Please Subscribe Our YouTube channel Here - https://lnkd.in/gdZKk8Mh Dive into the world of Kubernetes with our comprehensive guide on building and managing clusters for beginners in 2024! In this video, we will break down the essential concepts of Kubernetes, focusing on how it structures and manages clusters effectively. Learn about key components such as Pods, Nodes, and Deployments, and understand how they work together to create a robust and scalable environment. We'll walk you through the architecture of Kubernetes, providing practical examples and visual aids to enhance your understanding. Whether you're a complete novice or looking to refresh your knowledge, this video is designed to equip you with the foundational skills needed to navigate Kubernetes confidently. By the end, you'll have a clear grasp of how to set up clusters and manage them efficiently. Join us on this journey to demystify Kubernetes and unlock the potential of cloud-native applications! 🔔 Don't forget to like, subscribe, and hit the notification bell for more tutorials on Kubernetes and cloud technologies! #Kubernetes #CloudComputing #DevOps #Containers #TechForBeginners #Kubernetes #ClusterManagement #ContainerOrchestration #DevOps #CloudInfrastructure #Microservices #KubernetesArchitecture #Scalability https://lnkd.in/gnt6MSDD

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