Pierre FEVRIER

https://caxus.net/ 🚀Terraform and GitLab CI Pipelines: The Ultimate Solution for Infrastructure Management 🚀 1. Total Automation 🤖: With Terraform, you can define your infrastructure as code. This means you can create and manage all your cloud resources automatically and repeatably. 2. Seamless Integration ➡️: Thanks to GitLab CI/CD, every change you make in your code can be automatically reflected in your infrastructure. No more manual deployments prone to errors. 3. Security and Transparency 🔒: All changes in your infrastructure are recorded in your Git repository. This allows for total control and a transparent history of all modifications. 4. Continuous Development 🔄: With GitLab CI Pipelines, you can create pipelines that automatically validate, test, and deploy your Terraform configurations. It has never been easier to ensure that everything works as it should! 5. Guaranteed Scalability 📈: By using these tools, you can quickly scale your infrastructure to deal with traffic spikes or new features. 6. Cost Reduction 💸: By automating infrastructure management, you reduce human errors and optimize resource usage, resulting in lower operating costs. 7. Team Efficiency 🛠️: These tools allow your development and operations teams to work together efficiently, minimizing wait times and improving collaboration. 8. Flexibility and Adaptability 🧩: Adjust and evolve your infrastructure according to business needs without complications, all while using market best practices. 9. Recommended Tools 🛠️: Some tools that can help improve productivity are: VSCode for code editing, Terraform Cloud for remote state management, and Slack for quick and effective communication. At Caxus, we are experts in adopting AWS cloud solutions 🌩️. If you want to optimize your infrastructure using Terraform and GitLab CI Pipelines, contact us and let's take your business to the next level. Contact us by Whatsapp: https://buff.ly/4aSbAWy Contact us today for more information! info@caxus.net We’d love to discuss how we can save you proyect in the cloud. sales@caxus.net #devops #GitLabCI #aws #automation #terraform #gitlabci #pipelines #caxus #gitlab #DominaTuIndustria #Collaboration #Efficiency #CloudAdoption #Seguridad #Optimizacion #LinkedIn #HerramientasDigitales #AprendizajeContinuo #work #growing #teamwork #creatividad #DevSecOps #machinelearning #security #devsecops #cloud #infrastructure #DataAnalytics #AgileInfrastructure #CloudAdoption #Caxus

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The #ApachePaimon PMC officially announces the release of Apache Paimon 0.9.0. This version was developed over the course of four months, with the participation of 80 contributors, resulting in more than 600 commits. Thank you to all contributors for your support! The community has decided that the next version will be 1.0, marking that most functionalities of Apache Paimon have become relatively mature and stable. Version Overview Paimon's long-term plan is to become a unified lake storage format that meets the main requirements for minute level #bigdata: offline batch computing, real-time stream computing, and OLAP computing. Notable changes in this version include: ✔Paimon Branch: The branch functionality is now officially production-ready, and the introduction of the ‘scan.fallback-branch’ feature helps to better unify stream and batch storage for businesses. ✔Universal Format: This version introduces native Iceberg compatibility. You can enable Iceberg compatibility mode, and Paimon will generate Iceberg-compatible snapshots in real-time, allowing you to use the Iceberg ecosystem to read this Paimon table. ✔Caching Catalog: This version introduces the implementation of Caching Catalog by default. Table metadata and manifest files will be cached in the catalog, which can accelerate OLAP query performance. ✔Improvements in Bucketed Append Table Availability: The small file issue has been significantly alleviated, and it can be applied to bucketed joins in Spark, reducing shuffles during joins. ✔Support for DELETE & UPDATE & MERGEINTO in Append Tables: This version introduces support for DELETE, UPDATE, and MERGE INTO in append tables. You can modify and delete records in append tables using Spark SQL, and it also supports Deletion Vectors mode. Read the full release announcement to learn more: https://lnkd.in/gaqrqwfh About Apache Paimon: A lake format that enables building a real-time lakehouse architecture with Flink and Spark for both streaming and batch operations. Innovatively combines lake format and LSM structure, bringing realtime streaming updates into the lake architecture. #BigData #OpenSource #DataEngineering #Streaming

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Discover what our experts wrote about last week: 🔹FreeBSD basics – 7 – The Linux compatibility layer - https://lnkd.in/eQwY36GJ by Daniel Westermann 🔸JSON in PostgreSQL : a query tuning case - https://lnkd.in/euHbG3XY by Adrien Obernesser 🔹FreeBSD basics – 6 – The ports collection - https://lnkd.in/eAAKE5AE by Daniel Westermann 🔸Help yourself out with the 'log_reuse_wait_desc' column - https://lnkd.in/e8hPS4TS by Petar Prljevic

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🐳 #Docker or #Kubernetes? Join 📦️ Jérôme Petazzoni, Docker original dev advocate, for a deep dive into container technologies, managing Kubernetes across multiple providers, unexpected IaC challenges and more! Tune in to our latest episode now👇

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We're thrilled to release Kubernetes Explorer as part of our observability platform. It has powerful new features that enable teams to 𝘂𝗻𝗰𝗼𝘃𝗲𝗿 𝗿𝗼𝗼𝘁 𝗰𝗮𝘂𝘀𝗲𝘀 𝗮𝗻𝗱 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗲𝗺 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗲𝘃𝗲𝗿 𝗯𝗲𝗳𝗼𝗿𝗲: 👀 Kubernetes Hindsight: Gain historical visibility so teams can conduct retrospective analyses and performance optimizations in ephemeral container environments. 🗺️ Cluster Optimization: View a map of workload distribution across the Kubernetes cluster, enabling rapid identification of underutilized capacity and optimization of resources. 🔁 Resource Descriptors: Achieve comprehensive visibility into full YAML configurations of Kubernetes resources, maintaining deployment descriptor history for easy version comparison. Learn more in our NEW blog post: https://lnkd.in/gw3jnivi #KubernetesExplorer #AI #Kubernetes #observability

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Secure Coding in Infrastructure as Code (IaC) 🛡️💻 As IaC becomes the backbone of modern cloud infrastructure, securing it is crucial. Follow these practices for safer code: Validate Inputs 📝: Ensure proper validation to avoid exploits. Least Privilege 🔒: Limit access to only what’s necessary. Secrets Management 🔑: Never hardcode secrets; use secure vaults. Automate Security 🧪: Run security scans in your CI/CD pipeline. Version Control 🔄: Track changes and conduct code reviews. Avoid Defaults ⚙️: Customize security settings to your needs. By adopting these secure coding habits, you’ll build resilient, secure infrastructure that can withstand threats. Stay safe! 👩‍💻👨‍💻 #cybersecurity #iac #digitalsecurity

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Secure Coding in Infrastructure as Code (IaC) 🛡️💻 As IaC becomes the backbone of modern cloud infrastructure, securing it is crucial. Follow these practices for safer code: Validate Inputs 📝: Ensure proper validation to avoid exploits. Least Privilege 🔒: Limit access to only what’s necessary. Secrets Management 🔑: Never hardcode secrets; use secure vaults. Automate Security 🧪: Run security scans in your CI/CD pipeline. Version Control 🔄: Track changes and conduct code reviews. Avoid Defaults ⚙️: Customize security settings to your needs. By adopting these secure coding habits, you’ll build resilient, secure infrastructure that can withstand threats. Stay safe! 👩‍💻👨‍💻 #cybersecurity #security #digitalsecurity #IAC #ethicalhacking

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𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 𝑱𝒐𝒊𝒏 𝑶𝒖𝒓 𝑻𝒆𝒄𝒉 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 -> 𝑮𝒖𝒊𝒅𝒆 𝑶𝒕𝒉𝒆𝒓’𝒔 -> 𝑾𝒊𝒏 𝑬𝒙𝒄𝒊𝒕𝒊𝒏𝒈 𝑹𝒆𝒘𝒂𝒓𝒅𝒔 ->https://app.thealpha.dev/ Your Kubernetes cluster is a busy place, with containers constantly chatting. Kubernetes logging eavesdrops on these conversations to help you: 𝐓𝐫𝐨𝐮𝐛𝐥𝐞𝐬𝐡𝐨𝐨𝐭 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: Logs are like clues, helping you identify why your application isn't working. 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 𝐚𝐩𝐩 𝐡𝐞𝐚𝐥𝐭𝐡: Keep an eye on logs to see if your applications are healthy and catch issues early. 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: Analyze logs to find bottlenecks and make your applications run smoother. 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐔𝐩 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐠𝐞𝐧𝐭𝐬:  These tools act like listeners in each server, gathering container logs. 𝐒𝐢𝐝𝐞𝐜𝐚𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬: Mini-containers dedicated to capturing and sending application logs for analysis. 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬: Easier troubleshooting Improved application health monitoring Better application performance Good Kubernetes logging keeps your applications talking and your cluster running smoothly. 𝑱𝒐𝒊𝒏 𝑶𝒖𝒓 𝑻𝒆𝒄𝒉 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 -> 𝑮𝒖𝒊𝒅𝒆 𝑶𝒕𝒉𝒆𝒓’𝒔 -> 𝑾𝒊𝒏 𝑬𝒙𝒄𝒊𝒕𝒊𝒏𝒈 𝑹𝒆𝒘𝒂𝒓𝒅𝒔 ->https://app.thealpha.dev/ #devops #engineering #softwareengineering #kubernetes #docker

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As a cloud-native platform engineer, what is the biggest challenge you're currently facing? Feel free to elaborate on your specific challenge in the comments. Thank you for your participation! 🙏 1️⃣ WebAssembly integration 2️⃣ GitOps integration 3️⃣ Service mesh complexity 4️⃣ CI/CD pipelines

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Terraform 🌍 What It Is: Terraform is a tool for provisioning and managing cloud infrastructure using code. It allows you to define resources and infrastructure in a declarative manner. Key Features: Declarative Language 📝: Define the desired state of your infrastructure, and Terraform figures out the details. State Management 📊: Keeps track of your infrastructure’s state with a state file. Provider Support ☁️: Works with many cloud providers and services (AWS, Azure, GCP, etc.). Modularization 🧩: Create reusable modules to organize and share configurations. Use Cases: Provisioning cloud resources (e.g., VMs, networks, databases). Managing complex infrastructure setups. Ensuring consistency across multiple environments. Ansible ⚙️ What It Is: Ansible is an automation tool for configuration management and application deployment, using YAML for defining tasks. Key Features: Declarative Language 📝: Describe what you want to achieve, and Ansible does the work. Agentless 🚫: Uses SSH to communicate with target machines, no need for agents. Playbooks 📜: YAML files that describe the tasks and configurations. Extensibility 🔌: Supports a wide range of modules and plugins for different tasks. Use Cases: Configuring servers and applications (installing software, updating settings). Orchestrating multi-step workflows and deployments. Managing system state and enforcing compliance. Integrating Terraform and Ansible 🤝 Terraform 🌍 handles provisioning infrastructure (e.g., creating VMs, networks). Ansible ⚙️ configures the provisioned infrastructure (e.g., installing software, setting up services). Workflow Example: Terraform 🌍: Define and provision the infrastructure. Ansible ⚙️: Configure and deploy applications on the provisioned infrastructure. By using Terraform and Ansible together, you get the best of both worlds: efficient infrastructure provisioning and detailed configuration management.

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Taming the Technical Debt Monster: New Methods for DevOps DevOps, a popular approach for software development, emphasizes collaboration and continuous improvement. However, a new study by Jose BONET FAUSé, Pascal Le Masson, Ugo Pelissier, Nafissa Jibet, Antoine Bordas, and Sébastien Pajot from Mines de Paris and Ubisoft highlight a hidden challenge: Entangled Technical Debt (ETD). (ICED23 Proceedings) https://lnkd.in/gkw5E4SM Join the "Design is a Team Sport" movement at ICED25 Dallas. How can DevOps practices be adapted to minimize technical debt? What are the biggest challenges in managing technical debt in software development? Share your thoughts on the future of DevOps and its role in sustainable software engineering! Don't miss out!  · Register for ICED25 Dallas: iced.designsociety.org/ The University of Texas at Dallas, The Design Society #DevOps #TechnicalDebt #SoftwareDevelopment #SystemsEngineering #DesignThinking #SoftwareQuality

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[AWS] - AWS Database Migration Service now automates time-intensive schema conversion tasks using generative AI via https://lnkd.in/eb7MgJAx - #Cloud #AWS #Amazon ☁️ 🤓

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Stop scrolling! Do you: 1️⃣ Love DevOps? 2️⃣ Hate boring newsletters? 3️⃣ Enjoy laughing at Jenkins pipeline fails? ✨ Then subscribe to DevOps Bulletin for weekly: Tech hacks Breaking DevOps gossip Jokes only geeks get. 📩 Your inbox deserves better: devopsbulletin.com

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🔒 The Lowdown on Locked Namespaces 🔒 ControlPlane’s Senior Consultant Marco De Benedictis gave a talk at KubeCon EU 2024, where he discussed how namespaces have grown from an optional feature to the cornerstone for several Kubernetes security controls and why you should consider them as a security boundary in your cluster 🔗 To read more about this, click the link below to read Marco’s blog piece 👇

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Deploy a Kafka 3 nodes Cluster in few minutes on OVHcloud multi-regions #multicloud #hybridCloud In this example, we'll deploy the Kafka in cluster Mode (KRaft - Apache Kafka Without ZooKeeper). Here we'll look at how to deploy 4 services with a single YAML file: - 3 controllers and brokers - 1 kafka-ui (web interface)

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True #Multicloud isn't about using one or the other :p How to deploy in 2 minutes, a 3-node #MongoDB ReplicaSet in #multicloud / #hybridCloud with LayerOps on private server(Physical Server #LXD),  OVHcloud and #Azure. #Fair #DbaaS #DevOps #PlatformEngineering #layerops

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