Laura Caicedo

Check out the Oracle Database booth at Spring I/O Barcelona - going on right now and tomorrow! Victor Martin , Bert Bröske, and Borja Gómez are all there - that's a powerful crew so definitely stop by, and also play the open source #podsofkon game written on Spring Boot using all Oracle tech. Spring I/O #spring #springboot #oracledatabase #oraclecloud #oracle #java #microservices #springai #ai

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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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⚖️ Optimizing Bandwidth Allocation for Amazon EKS Workloads 🚀 Explore how AWS is enhancing resource fairness in Amazon EKS with advanced traffic shaping techniques. This blog post delves into how fair bandwidth allocation ensures optimal performance across Kubernetes workloads, preventing resource exhaustion and network starvation. Learn more about balancing bandwidth and maintaining high performance in your EKS clusters here: Ensuring Fair Bandwidth Allocation for Amazon EKS Workloads 🌐🔗 https://ow.ly/r2ZX50SaNJB #AmazonEKS #Kubernetes #CloudComputing #BandwidthManagement #AWSContainers

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🕵️‍♀️ Kubernetes Secrets got you puzzled? Sam Gabrail, Platform Engineer and Trainer, has your back. In his latest video and blog, Sam demystifies Kubernetes Secrets, busts common myths, and shows you how to secure them effortlessly with Akeyless Security. Learn: ✔️What Kubernetes Secrets are and why you need them. ✔️Types of Kubernetes Secrets and their uses. ✔️Common misconceptions debunked. ✔️Hands-on demo with Akeyless. Check the blog and video for clear, actionable insights and take control of your Kubernetes Secrets. Read here to get started! https://okt.to/sEPfSu #DevSecOps #DevOps #SecretsManagement

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Containerization is a powerful tool for managing workloads. However, not all workloads are suitable for containerization. In this tech talk I cover out how to handle virtualized workloads that don’t make sense to containerize while leveraging the robust self-healing capabilities of Kubernetes.

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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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45 days until #AWS #reinvent2024 in Las Vegas. Here is my top 10 list of the sessions I'm excited about: 1️⃣ OPN311 | Harnessing Apache ActiveMQ: ActiveMQ 6.x features and roadmap - with JB Onofré and Jules Graybill 2️⃣ ANT327 | What's new: Data streaming on AWS - with Ashish Palekarand Anusha Dasarakothapalli 3️⃣ ANT412 | Ingest streaming data into Apache Iceberg tables with AWS Streaming - with Ravikiran Rao and Amar Surjit 4️⃣ ANT324 | Accelerate value from data: Migrating from batch to steam processing - with Usama Naseem and Sofie Zilberman 5️⃣ ANT342 | Operate and scale managed Apache Kafka and Apache Flink clusters - with Sai Maddali and Ali Alemi 6️⃣ API401 | Multi-tenant Amazon SQS queues: Mitigating noisy neighbors - with Vinodh Kannan Sadayamuthu and Dirk Fröhner 7️⃣ API312 | Best practices to migrate your existing message broker to AWS - with Vinodh Kannan Sadayamuthu and Daniel Fargano 8️⃣ ANT318 | Building serverless streaming data pipelines for real-time analytics - with Mostafa Mansour and Gregory K. 9️⃣ AUT319 | Learnings from BMW's global software development platform on AWS - with Christian Mueller 🔟 FSI310 | BBVA Corporate & Investment Banking: Building a multi-region, multi-country data platform at scale - with Ignacio Fernandez and Federico Esteban What sessions have you marked as favorites? Drop the session ID in the comments. The catalog is available here:

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My interview for The New Stack on Kubernetes v1.32; big thanks for Joab Jackson for the enjoyable conversation and excellent article: do give it a read to learn more about the importance of achieving 100% Conformance Testing coverage, the DRA updates and what that means for workloads like AI, the release theme, and plenty more. https://lnkd.in/de4npPrf

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Amazon MSK Connect just got even better! #AWS has introduced a new feature allowing you to update connector configurations without recreating your connectors. Key benefits: • Seamless configuration updates • Reduced downtime • Improved operational efficiency This enhancement streamlines the management of your data pipelines, making it easier to adapt to changing requirements without disrupting your workflows. #AmazonMSK #DataStreaming #CloudComputing #ApacheKafka https://lnkd.in/gxuRmCrT

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Amazon RDS for MySQL zero-ETL integration with Amazon Redshift is now generally available With this launch, you can create multiple zero-ETL integrations from a single Amazon RDS database, and you can apply data filtering for each integration to include or exclude specific databases and tables, tailoring replication to your needs. https://lnkd.in/gM_4rPj5 #Amazon #RDS #MySQL

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Customers have been asking for governance around data in motion. Now, Amazon Kinesis Data Streams supports data plane logging to AWS CloudTrail: https://lnkd.in/e5EEJE9x #governance #datainmotion #data #datagovernance #Kinesis

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This is a good opinion piece talking about the challenges of big and chunky #Kubernetes and problems with adoption. I was pleasantly surprised to see a mention of the #Tanzu Platform for #CloudFoundry option. Post Broadcom acquisition there have been many conversations with customers and a recognition that accelerated efforts must be made in Cloud Foundry. Leadership agrees and we are seeing new features and new releases coming fast. Cloud Foundry is still the best <em>Application Developer Platform</em> on the market today. https://lnkd.in/gEWyjrZJ

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Not sure who needs this, but you can now have up to 1 MILLION S3 buckets per AWS account 😂 UPDATE: Some of you have mentioned this being useful for multi-tenant applications. Instead of one tenant per folder in the same bucket, you can now have one bucket per tenant and can more easily track S3 costs by tenant.

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AWS Community Blog: Amazon EKS Upgrade Guidance (v1.25 to 1.26) A great example of community content (this one happens to be Co-authored by Containers Specialists at Amazon Web Services (AWS) - authors are listed in blog). "This blog post distils best practices, techniques, and advanced considerations for performing EKS version upgrades. While this post primarily focuses on EKS v.125 to 1.26 upgrade, tips and strategies shared here can be applied to other version upgrades." #aws #awscloud #amazonwebservices #kubernetes #amazoneks #containers #K8s https://lnkd.in/eWZkdzv9

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Amazon RDS for PostgreSQL supports minor versions 16.4, 15.8, 14.13, 13.16, and 12.20 This release of RDS for PostgreSQL also includes updates for PostgreSQL extensions such as pgvector 0.7.3, hypopg 1.4.1, and others. https://lnkd.in/g7XybJ8i #Amazon #RDS #PostgreSQL

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AI/ML Innovation in the Kubernetes Ecosystem https://ift.tt/K0bD8QI As organizations put artificial intelligence and machine learning (AI/ML) workloads into continuous development and production deployment, they need to have the same levels of manageability, speed, and accountability as regular software code. The popular way to deploy these workloads is Kubernetes, and the Kubeflow and KServe projects enable them there. Recent innovations like the Model Registry, ModelCars feature, and TrustyAI integrations in this ecosystem are delivering these improvements for users who rely on AI/ML. These, and other improvements, have made open source AI/ML ready for use in production. More improvements are coming in the future. Better Model Management AI/ML analyzes data and produces output using machine learning "models," which consist of code, data, and tuning information. In 2023, the Kubeflow community identified a key requirement to have better ways of distributing tuned models across large Kubernetes clusters. Engineers working on Red Hat's OpenShift AI agreed and started work on a new Kubeflow component, Model Registry. via DZone AI/ML Zone https://dzone.com/ai-ml October 22, 2024 at 07:00AM

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