Jasim Asfoor

API Gateway + Kubernetes 🤝. Kong Inc. Champion and Chief Integration Evangelist / Chief Architect at OPITZ CONSULTING Deutschland GmbH, Sven Bernhardt on how to secure APIs with plugins in your Kubernetes management.  Full blog + video here covering:  - 🛠️ Installing Kong Ingress Controller - 🔐 Securing APIs with plugins - 📡 Exposing Kubernetes services as APIs, securing APIs with plugins (authentication, rate-limiting) - 🌐 Using the Gateway API for HTTP/TCP routing - 📊Observing analytics - all managed via the centralized Kong Konnect control plane. #KongPin #Kubernetes #Ingress #K8s #LearnToCode

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Amazon RDS Multi-AZ deployment with two readable standbys supports 6 additional AWS Regions Three-node Multi-AZ DB Cluster is now available in Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), Middle East (UAE), and Israel (Tel Aviv) Regions. This deployment option supports minor version upgrades and system maintenance updates with typically less than one second of downtime when using Amazon RDS Proxy or any one of the open-source AWS Advanced JDBC Driver, PgBouncer, or ProxySQL. https://lnkd.in/g9D9RGVB #Amazon #RDS #PostgreSQL #MySQL

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API Gateway + Kubernetes 🤝. Kong Inc. Champion and Chief Integration Evangelist / Chief Architect at OPITZ CONSULTING Deutschland GmbH, Sven Bernhardt on how to secure APIs with plugins in your Kubernetes management.  Full blog + video here covering:  - 🛠️ Installing Kong Ingress Controller - 🔐 Securing APIs with plugins - 📡 Exposing Kubernetes services as APIs, securing APIs with plugins (authentication, rate-limiting) - 🌐 Using the Gateway API for HTTP/TCP routing - 📊Observing analytics - all managed via the centralized Kong Konnect control plane. #KongPin #Kubernetes #Ingress #K8s #LearnToCode

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Amazon RDS Extended Support APIs are now available After the RDS end of standard support date has passed, you can prevent the creation of a new DB instance or a new Multi-AZ DB cluster and avoid RDS Extended Support charges. In the AWS CLI, specify open-source-rds-extended-support-disabled for the --engine-lifecycle-support option.   https://lnkd.in/gi_uX9xZ #Amazon #RDS #PostgreSQL #MySQL #Aurora

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With AWS Machine Learning capabilities now easily accessible, individuals can build cutting-edge models that deliver real value with minimal effort. However, once you’ve proven a small use case, how do you scale and operationalize your models for enterprise use? To take a project from concept to production-ready, organizations need to incorporate enterprise-grade functionality—like tracking code changes, enforcing security standards, and ensuring policy and governance compliance. Using Terraform to build and manage the lifecycle of an ML/AI platform on AWS provides a scalable approach to address these requirements. Terraform can help orchestrate your infrastructure, ensuring your ML models are production-ready and enterprise-compliant. #MachineLearning #AWS #Terraform #AIOps #DevOps #CloudInnovation

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Oracle’s Dedicated Region Just Got Smaller – Meet Dedicated Region 25 by Michael Rebmann via cloud13.ch ([Global] oracle cloud) URL: https://ift.tt/uAxz1jb In case you missed it, Oracle announced on the 11th of September 2024, that their Dedicated Region offering is becoming smaller and this new configuration called “Dedicated Region 25” will be available in the next calendar year. This new offering allows businesses to bring the full power of Oracle Cloud Infrastructure (OCI) to their own data centers, but now with a minimum of just three racks. This is a significant shift from Oracle’s previous requirement of a 12-rack minimum. By reducing the infrastructure to as little as three racks, Oracle is making its powerful cloud capabilities more accessible than ever before. Let’s explore what this means for enterprises and how it opens up exciting new possibilities for hybrid cloud adoption. With OCI’s distributed cloud capabilities, we’re helping customers deploy a dedicated cloud in a small, scalable footprint, build applications with the best services across cloud providers, and deploy AI infrastructure anywhere they want. This flexibility helps our customers address their unique needs and support their cloud investments in delivering significant business value. What is Oracle Dedicated Region? Let me copy the text from Oracle’s FAQ: OCI Dedicated Region (previously known as Oracle Dedicated Region Cloud@Customer) enables customers to deploy an Oracle Cloud region in their own data center. OCI Dedicated Region offers customers essentially the same experience as Oracle’s public cloud regions, including access to more than 100 of the same cloud services and the agility, scalability, and economics of the public cloud. In other words, with Oracle Dedicated Region , companies can take advantage of a complete suite of cloud services, including Autonomous Database, Exadata, compute, storage, and networking, all while keeping data close to home. It is ideal for industries that need to meet strict data sovereignty or latency requirements, or that simply prefer having greater control over their environment. Dedicated Region 25 The introduction of Dedicated Region 25 marks a major milestone. Previously, Oracle required a minimum of 12 racks for the full deployment of Dedicated Region , which limited the offering to only the largest enterprises with substantial IT budgets and infrastructure needs. Now, with a three-rack minimum, Oracle has significantly lowered the barrier to entry, making its Dedicated Region accessible to more organizations, regardless of size. Here’s why this shift is a game-changer: 1. Smaller Footprint, Big Power With just three racks required, Dedicated Region 25 delivers the full suite of Oracle Cloud services within a much smaller infrastructure footprint. This is great news for businesses that do not have the space, power, or cooling capacity to handle a 12-rack deployment but still want to take advantage of...

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🚀 Calling all #Developers and #SysAdmins! 🚀 Are you interested in diving into the exciting world of Machine Learning and AI? Look no further! 🤖 I highly recommend checking out the OpenShift AI learning path by Red Hat. 🌟 Whether you’re a seasoned developer or a system administrator, this course provides a solid introduction to deploying applications in the OpenShift ecosystem. 📦 What’s in it for you? *) Powerful AI/ML Platform: OpenShift AI gives you the tools to rapidly develop, train, serve, and monitor #machinelearning models. 🎛️ *) Collaboration: #Data #scientists and #developers can work together seamlessly, moving from experiment to production in a consistent environment. 👥 *) Popular #Tools: You’ll get to use familiar tools like #Jupyter, #TensorFlow, and #PyTorch. 🧠 *) Flexible UI: Integrated #MLOps components make model serving and data science pipelines a breeze. 🌐 🔗 Explore #OpenShiftAI #Learning Path here: https://lnkd.in/dzaScQde Get ready to build smarter with Red Hat #OpenShift #AI! 🌈

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For sure, the steadily increase of cloud computing raises new challenges to keep costs under control but the good news is, most of the enterprises are meanwhile aware of it. And there are services and solutions available (e. g. with Kyndryl and Kyndryl Bridge) to not only keep costs under control but even more, to further optimize these! This way, to gain not only all the expected technical benefits of cloud computing but also the desired commercial ones! #Cloud #Multicloud #Hybridcloud #ManagedInfrastructure #kyndryl #Heartofprogress Benedikt Ernst Thorsten Franke Alexander von Alkier Semra Özkaya Selcuk Oezmen Klaus Stephan Gregor Hölscher

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The evidence is clear: Oracle Cloud Infrastructure #Kubernetes Engine offers far lower costs than EKS, AKS, and GKE for serverless Linux scenarios. Check out this breakdown to find out how. https://lnkd.in/gGgG8ESr

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AWS Transfer Family now lists files from remote SFTP servers using SFTP connectors, enabling visibility into the contents of directories in remote SFTP file systems and transfer files when file names are not known in advance. Our customers can now generate a list of files stored on remote SFTP servers and automate file retrieval workflows even when you do not have prior information about the file names on remote servers. https://lnkd.in/gbPZEiys

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🚀 New Release Alert! Red Hat introduces streamlined JBoss EAP images using Galleon for efficient provisioning and deployment. This enhancement simplifies server configurations, reduces image sizes, and accelerates deployment times. Explore the full article to learn how Galleon optimizes your JBoss EAP deployments. #RedHat #JBossEAP #Galleon #CloudNative #DevOps

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New blog: Set Up AWS PrivateLinks with #Couchbase Capella#couchbase #cloud #database #NoSQL #JSON #DBaaS#AI #vectorsearch 

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Join my talk tomorrow at the Azure Global Bootcamp Cologne 2024 about how to secure workloads on #Azure from a developer perspective with Azure Network Services. #AzureRocks 🤘 #GlobalAzure 🌍 Looking forward to the session and the knowledge transfer. ☺️ Many thanks to Raphael Köllner for the organization! 👍

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🚀 Fine-Grained Request Routing in #AzureCosmosDB Discover SDK options that enhance control over routing, enabling precise handling of your Cosmos DB requests for better performance and efficiency. 🔗 https://lnkd.in/eK89CbTz

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Explore the new SDK options in #AzureCosmosDB for better request routing. Find out how to fine-tune your database performance: https://lnkd.in/eK89CbTz 🌟📘

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🚀Announcing auto migration of EC2 databases to Amazon RDS using AWS Database Migration Service.🚀 AWS has introduced a new “1-click move to managed” feature for Amazon Relational Database Service (Amazon RDS), enabling seamless migration of self-managed MySQL, PostgreSQL, or MariaDB databases to fully managed Amazon RDS or Amazon Aurora instances. This feature simplifies the migration process for databases hosted on Amazon EC2 by using the RDS console. It eliminates the need for manual infrastructure setup, allowing you to effortlessly transition your application’s database to Amazon RDS. By leveraging the AWS Data Migration Service (DMS) homogeneous migration APIs, this tool automates the entire process, including network and system configurations, while ensuring a cost-effective, flexible, and scalable migration using temporary environments and native database tools. The RDS 1-click move to managed feature is now available in AWS commercial regions that support homogeneous data migrations. To get started, visit the Amazon RDS Console. For additional details, refer to the RDS or Aurora user guides. https://lnkd.in/gY-sirse

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MongoDB Atlas is now available in 117 cloud regions across Microsoft Azure (48 regions), AWS (31 regions), and Google Cloud (38 regions) to meet the demands of more customers with data residency, availability, and latency-sensitive application requirements. MongoDB Atlas is integrated with several Microsoft Azure services, including Microsoft Fabric and can be used with Azure OpenAI and Microsoft Semantic Kernel for building AI-powered applications. MongoDB Atlas Online Archive and Atlas Data Federation are also now generally available on Microsoft Azure.

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In a recent video, I explored how to configure Carpenter on AWS EKS to function as a cluster autoscaler. This is a valuable tool for anyone looking to optimize their AWS EKS cluster's resource utilization. Carpenter is an open-source solution that automatically provisions new nodes in response to unschedulable pods. By analyzing pending pods' resource requirements, it can choose the optimal instance type to run them on. The video provides a step-by-step guide to configuring Carpenter on AWS EKS. It covers essential steps like installing the AWS CLI and eksctl, creating a cluster configuration file, and setting up IAM roles and policies. Helm charts are then used to seamlessly install Carpenter on the EKS cluster. The video includes specific commands to streamline the process. To validate Carpenter's functionality, a dummy application is deployed and scaled up and down. As expected, Carpenter automatically scales the cluster by provisioning additional nodes when needed and removing unnecessary ones when pods decrease. The video concludes by demonstrating how to monitor Carpenter's activity using kubectl logs. If you're looking to leverage autoscaling for your AWS EKS cluster, this video is a comprehensive resource!  #AWS #EKS #Kubernetes #Carpenter #ClusterAutoscaler #cloud #automation https://lnkd.in/eSYt3Erh

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