Mohamed CHERKAOUI

Excited to share my hands-on lab project : Centralized Egress Traffic on AWS using Terraform . In this repo, I dive into how to centralize and manage outbound traffic from your VPCs efficiently. Check out my Github repo for the details: https://lnkd.in/gJxXNbKX

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Basic troubleshooting in K8s(Kubernetes). 1. Application failure. 2. Control plane failure. 3. Worker node failure. #linkedin #linkedinfamily #devops #troubleshooting #Kubernetes #cloud #devopsengineer #networking Le chargement de votre document est terminé

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𝐀 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐋𝐞𝐚𝐧 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 Creating slim Docker images is vital for optimizing performance, reducing costs, and enhancing security in containerized applications. Why create a bulky large image when smaller images do the trick? 𝐇𝐨𝐰 𝐭𝐨 𝐂𝐫𝐞𝐚𝐭𝐞 𝐒𝐥𝐢𝐦 𝐃𝐨𝐜𝐤𝐞𝐫 𝐈𝐦𝐚𝐠𝐞𝐬? - 𝘜𝘴𝘦 𝘚𝘮𝘢𝘭𝘭 𝘉𝘢𝘴𝘦 𝘐𝘮𝘢𝘨𝘦𝘴: Choose the smallest base image that meets your requirements. Alpine Linux is a popular choice due to its minimal size, around 5 MB, compared to larger alternatives like Ubuntu.  - 𝘓𝘦𝘷𝘦𝘳𝘢𝘨𝘦 𝘔𝘶𝘭𝘵𝘪-𝘚𝘵𝘢𝘨𝘦 𝘉𝘶𝘪𝘭𝘥𝘴: Build your application in one stage and copy the necessary artifacts to a new, minimal stage. - 𝘙𝘦𝘮𝘰𝘷𝘦 𝘜𝘯𝘯𝘦𝘤𝘦𝘴𝘴𝘢𝘳𝘺 𝘍𝘪𝘭𝘦𝘴: Delete package lists, temporary files, and caches. Use .dockerignore to exclude files and directories that aren't needed in the final image. - 𝘜𝘵𝘪𝘭𝘪𝘻𝘦 𝘊𝘢𝘤𝘩𝘪𝘯𝘨: Docker caches layers to speed up builds. By structuring your Dockerfile effectively and utilizing the --cache-from flag, you can reuse layers that haven’t changed, reducing build times and maintaining a smaller image size​. 𝐖𝐡𝐲 𝐔𝐬𝐞 𝐒𝐥𝐢𝐦 𝐃𝐨𝐜𝐤𝐞𝐫 𝐈𝐦𝐚𝐠𝐞𝐬? - 𝘙𝘦𝘥𝘶𝘤𝘦𝘥 𝘈𝘵𝘵𝘢𝘤𝘬 𝘚𝘶𝘳𝘧𝘢𝘤𝘦: Smaller images have fewer components, reducing potential vulnerabilities. - 𝘍𝘢𝘴𝘵𝘦𝘳 𝘋𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵: Lean images load faster, accelerating your CI/CD pipelines. - 𝘓𝘰𝘸𝘦𝘳 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦 𝘊𝘰𝘯𝘴𝘶𝘮𝘱𝘵𝘪𝘰𝘯: They consume less disk space, memory, and bandwidth, optimizing your infrastructure costs. - 𝘚𝘪𝘮𝘱𝘭𝘪𝘧𝘪𝘦𝘥 𝘔𝘢𝘪𝘯𝘵𝘦𝘯𝘢𝘯𝘤𝘦: Managing and updating images becomes more straightforward with fewer dependencies. What strategies do you use to optimize your Docker images? Share your tips in the comments below!

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Hello LinkedIn Members ! Devops with DevOps Insiders 😎 🚀 Exploring the Power of cgroups in Linux and Docker's Utilization! 🐧 Ever wondered about the underlying magic that powers Docker's containerization capabilities? Enter cgroups, short for Control Groups, a fundamental feature of the Linux kernel that plays a pivotal role in resource management and isolation. Let's delve into what cgroups are and how Docker harnesses their power: 🔍 Understanding cgroups: cgroups, introduced in Linux kernel version 2.6.24, provide a mechanism for allocating and monitoring system resources such as CPU, memory, disk I/O, and network bandwidth among processes or groups of processes. They enable fine-grained control over resource usage, allowing administrators to enforce limits and priorities for different workloads running on the same system. 🔧 How Docker leverages cgroups: Docker, the ubiquitous containerization platform, heavily relies on cgroups to achieve lightweight and efficient isolation between containers. When you run a Docker container, Docker leverages cgroups to create a separate resource sandbox for each container, enforcing resource constraints and preventing one container from monopolizing system resources at the expense of others. 💡 Key benefits of cgroups in Docker: Resource Isolation: cgroups enable Docker to enforce resource limits on CPU, memory, disk I/O, and network bandwidth for individual containers, ensuring fair and predictable performance across the system. Efficient Resource Utilization: By dynamically allocating resources based on workload demands, Docker optimizes resource utilization, maximizing the efficiency of the underlying hardware. Security and Isolation: cgroups provide strong isolation boundaries between containers, minimizing the risk of resource contention and unauthorized access to system resources, thereby enhancing security. 🚀 Unlocking the Full Potential: Understanding cgroups empowers Docker users to fine-tune resource allocation and optimize container performance for their specific workloads. Whether you're running microservices, batch jobs, or web applications, harnessing the capabilities of cgroups in Docker can lead to more efficient resource utilization, improved scalability, and enhanced security. Ready to take your containerization game to the next level? Explore the world of cgroups and unleash the full potential of Docker! 💻 #Docker #Linux #cgroups #Containerization #ResourceManagement #Efficiency #Security #DevOpsInsiders

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How to Manage 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐰𝐢𝐭𝐡 𝐀𝐧𝐬𝐢𝐛𝐥𝐞[Tutorial] ☰☰☰☰☰☰☰☰☰☰☰☰☰☰ https://lnkd.in/d4X8q4-Z ☰☰☰☰ #Kubernetes #Management #DevOps #Containerization #CloudNative #ContainerOrchestration #InfrastructureAsCode #Automation #Scalability

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🔒 Just published: A Deep Dive into Kubernetes Pod Security Standards (PSS)! As organizations scale their Kubernetes deployments, security becomes critical. Learn how to: ✅ Implement PSS across different security levels ✅ Migrate seamlessly from Pod Security Policies ✅ Configure security contexts with real examples ✅ Monitor and enforce security standards 🔗 Read the full guide here: https://lnkd.in/gNNppjpQ #Kubernetes #CloudNative #DevSecOps #K8s #CloudComputing #Security #DevOps #Tech #Engineering #Cloud

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What is Terraform ? Terraform is a tool by Hashicorp to manage infrastructure using code. How does it work? Define your infrastructure in code and you can create, delete and modify infra on major clouds. What are the advantages? - Easy to manage the infra with code. - Works with major Cloud Providers. - Support Hybrid Cloud. - Support Multi Region. Have you tried Terraform yet?

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🔱 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦: 𝐅𝐫𝐨𝐦 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 •••••••••••••••••••••••••••••••••••••• ✧✦ Explore the world of Infrastructure as Code (IaC) with "Terraform: From Beginner to Master." This comprehensive guide takes you from the basics of Terraform to advanced techniques, helping you build and manage robust infrastructure efficiently. Perfect for developers, sysadmins, and IT professionals looking to enhance their skills in modern infrastructure management. ••••••••••••••••••• #Terraform #InfrastructureAsCode #IaC #CloudComputing #DevOps #SysAdmin #HashiCorp #CloudInfrastructure #Automation #ITProfessional #TechSkills

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CONFIGMAPS & SECRETS : In Kubernetes, ConfigMaps and Secrets are essential resources that decouple configuration data from application code, enhancing flexibility and security. ConfigMaps: store non-sensitive configuration data as key-value pairs, such as environment variables, command-line arguments, or configuration files. This separation allows for environment-specific configurations without modifying container images.  Secrets: on the other hand, are designed to hold sensitive information like passwords, API keys, or tokens. They provide an additional layer of security by storing data in base64-encoded format, ensuring that confidential information is not exposed directly in the application code.  Key Differences: 1) Purpose: ConfigMaps handle non-sensitive data; Secrets manage sensitive data. 2) Data Encoding: ConfigMaps store data in plain text; Secrets use base64 encoding for added security. 3) Access Control: Secrets offer stricter access controls and can be configured to be encrypted at rest, providing enhanced security measures. #Kubernetes #DevOps #ConfigMaps #Secrets

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Hello LinkedIn Members ! Devops with DevOps Insiders 😎 🌟 Understanding Kubernetes Controllers: A Key to Efficient Cluster Management 🌟 Let's dive into what controllers are and explore four essential types: ReplicaSet, DaemonSet, StatefulSet, and Deployment. What is a Controller? A controller in Kubernetes is a control loop that watches the state of your cluster and makes or requests changes where needed. Each controller tries to move the current state of the cluster closer to the desired state. They are the backbone of Kubernetes' self-healing and scaling capabilities. 1. ReplicaSet ReplicaSet ensures that a specified number of pod replicas are running at any given time. If a pod goes down, the ReplicaSet controller will automatically create a new one to replace it, maintaining the desired number of replicas. Use Case: Ensuring high availability of stateless applications. Example Command: kubectl apply -f replicaset.yaml 2. DaemonSet DaemonSet ensures that all (or some) nodes run a copy of a pod. When new nodes are added to the cluster, DaemonSet automatically adds the specified pods to them. Use Case: Running system-level applications like log collection, monitoring agents, or network management on every node. Example Command: kubectl apply -f daemonset.yaml 3. StatefulSet StatefulSet is designed for managing stateful applications. Unlike ReplicaSets, StatefulSets provide guarantees about the ordering and uniqueness of pods, which is critical for applications that require stable, persistent storage. Use Case: Databases, distributed file systems, and other applications requiring stable network identifiers and persistent storage. Example Command: kubectl apply -f statefulset.yaml 4. Deployment Deployment provides declarative updates to applications. It is used to manage ReplicaSets and allows you to define the desired state for your application, handle updates, rollbacks, and scaling in a controlled manner. Use Case: Managing stateless applications, rolling updates, and version control. Example Command: kubectl apply -f deployment.yaml Why Controllers Matter Self-Healing: Controllers automatically replace failed nodes and pods, ensuring application availability. Scalability: They facilitate the scaling of applications by adding or removing pods as needed. Consistency: Ensure that your cluster's actual state matches the desired state defined in your configurations. Automation: Controllers reduce manual intervention, leading to more efficient and error-free management of the cluster. Understanding and leveraging these controllers can significantly enhance your Kubernetes management, leading to more resilient, scalable, and maintainable applications. #Kubernetes #DevOps #CloudComputing #Containerization #TechLeadership #Automation #ITManagement

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What is secrets in kubernets ? In Kubernetes, a Secret is a way to securely store sensitive information, such as passwords, API keys, tokens, and other confidential data. Secrets allow you to manage this sensitive information separately from your application code and configurations. By default kubernetes encodes the secrets in base64 encoding format which not a very good encoding format though. Example Use Case If an application needs a database password, you can store the password in a Secret, and Kubernetes can inject it into the app without exposing the password directly in the code. 😊

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📢 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐨𝐫 (𝐂𝐊𝐀) 𝐄𝐱𝐚𝐦 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 𝐂𝐨𝐦𝐢𝐧𝐠 𝐒𝐨𝐨𝐧!🚀 ✦✦✦✦✦✦✦✦✦✦✦✦ https://lnkd.in/dkWBqV3D ✪✪ For more details, check out the official update here: https://lnkd.in/duKd69ai ✦✦✦✦✦✦ The CKA exam will be refreshed in the coming months to keep up with the latest industry standards and skills. These updates will ensure that certified professionals continue to meet the demands of the evolving Kubernetes landscape. 🗓 Important: The changes won’t take effect before November 25, 2024, so there's still time to prepare under the current format. Stay tuned for more details and keep sharpening those Kubernetes skills! 🔥 ✦✦✦✦✦✦✦✦✦✦✦✦✦ #Kubernetes #CKA #CertifiedKubernetesAdministrator #DevOps #CloudComputing #TechUpdates #ExamPrep #Certification #K8s

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⚜ 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐆𝐢𝐭𝐎𝐩𝐬! ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● "GitOps Cookbook - Kubernetes Automation in Practice" is the ultimate guide for implementing #GitOps workflows effectively. This practical book provides step-by-step examples and real-world scenarios to help you master #Kubernetes #automation, streamline #CI / #CD pipelines, and simplify #cluster #management. A must-read for #DevOps enthusiasts and #Kubernetes professionals looking to take #automation to the next level. 🔥 Start automating smarter, faster, and more efficiently with GitOps! ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● #GitOps #Kubernetes #DevOps #Automation #CloudNative #InfrastructureAsCode #CI_CD #TechBooks #K8s #KubernetesAutomation #DevOpsPractices #CloudComputing #TechLearning #ITProfessionals #ContinuousDeployment

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Monitoring OpenShift Virtualization using user-defined projects and Grafana From the content: This article will teach you how to install and configure the Grafana Operator and integrate it with the openshift-monitoring stack using user-workload-monitoring. ...[Read more]

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Excited to share my recent talk from Devoxx Morocco 2024 in Marrakech! : "Low-Cost, Unlimited Metrics Storage with Thanos: Monitor All Your K8s Clusters Anywhere and More" In this presentation, I covered: - importance of Kubernetes monitoring - Limitations of standalone Prometheus - How Thanos extends Prometheus capabilities - Implementing multi-cluster monitoring with Thanos

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