Rob Burke

🌟 Ready to improve your cloud efficiency and save costs? 🔗 https://go.aws/4gPQI5h Join AWS Hero Liz Fong-Jones for an inside look at how Honeycomb moved their workloads to AWS Graviton, making the most of Amazon EKS, AWS Lambda, RDS, and OpenSearch. Liz will provide tips on optimizing your development process and improving efficiency in this session, no matter where you are in the Graviton process. 📅 Session ID: DEV302 🗣️ Speaker: Liz Fong-Jones 💡 Topic: Compute & Cloud Operations Don’t miss this chance to learn from real-world success stories by an #AWSHero Don't Miss Out ⭐ Favorite this session now #AWSreInvent #Graviton #CloudOps

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Incredibly proud of the latest Kinesis Client Library version (3.0) which, when compared to previous KCL versions, reduces compute costs by up to 33%. KCL 3.0 introduces an enhanced load balancing algorithm that continuously monitors resource utilization of the stream processing workers and automatically redistributes the load from over-utilized workers to other underutilized workers. This ensures even CPU utilization across workers and removes the need to over-provision the stream processing compute workers which reduces cost. Additionally, KCL 3.0 is built with the AWS SDK for Java 2.x for improved performance and security features, fully removing the dependency on the AWS SDK for Java 1.x. #Kinesis #DataStreaming #KCL

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In the evolving landscape of cloud technology, effectively managing finances is paramount to success. ☁️💱 ⛰️ Organizations can have blind spots that reduce financial visibility and control. Learn the 4️⃣ most common ones now. 👉 https://go.aws/475W7AU Featuring: 🎙️ Rich Hoyer, Co-Founder and CEO, FinOptik 🎙️ Chris Hennesey, AWS Enterprise Strategist #AWS #Finance #LearnWithAWSExperts 🎧 8 minutes

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Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gqZ2ebDS

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Amazon Web Services (AWS) released their most powerful and energy efficient CPU design in #AWS Graviton4. This new generation brings enormous power for customers including: - 50% more cores & 75% more memory bandwidth compare to previous generation. you can now provision these type of AWS EC2 instances as R8g in your AWS console with VMs with up to 192 vCPU core and 1.5TB memory, 50Gbps network bandwidth and 40Gbps EBS bandwidth, making it a great choice for scaled up applications. this amazing EC2 performance also consumes 60% less energy which is a great sustainability and environmental achievement too. Well done Amazon Web Services (AWS) . #AWSCloud #Cloud #sustainability #AWS #cloudcomputing

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Datadog has announced the general availability of its Monitoring for Oracle Cloud Infrastructure (OCI), allowing Oracle customers to monitor cloud-native and traditional workloads across OCI with integrated telemetry. . This service aids customers in transitioning from on-premises to cloud environments, supporting multi-cloud strategies and AI/ML workloads. With over 20 OCI integrations and 750+ technology support, Datadog enables teams to visualize performance in real-time using customizable dashboards. . It offers deep insights into application health through service maps, synthetic monitors, and alerts, helping teams manage latency, code errors, and log issues. This unified monitoring platform provides Oracle customers confidence in managing OCI and hybrid environments efficiently. ---- To learn more, please visit: 👉https://lnkd.in/duzrRYmw . . . . #avmconsulting #Datadog #OracleCloud #CloudMonitoring #OCI #MultiCloud #CloudMigration #AIWorkloads,#MLMonitoring #HybridCloud #CloudSecurity #Telemetry #AppPerformance #CloudInfrastructure #UnifiedMonitoring #GPUMonitoring

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AWS customer AUDI AG saved more than 60% on compute costs while improving scalability for their Car-Configurator (pictured below) backend by migrating to the cloud, adopting Graviton-based instances (some of them Spot), and Karpenter, all while increasing availability and reducing latency when compared to their on-premises architecture. Read the new case study at https://lnkd.in/gKj97t3U to learn a lot more!

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#Jerry 🚘 is a leading tech company for car insurance and loans in the US. By switching from #AWS #Redshift to #ClickHouse, it improved query performance by 20 times and greatly cut costs. 💡 To tackle #storage challenges like disk failures and data recovery, it innovatively uses #JuiceFS snapshots to implement a primary-replica architecture for ClickHouse. This architecture ensures #HighAvailability and stability of the data while significantly enhancing system performance and data recovery capabilities. 👇 Read the full story. #BigData #DistributedFileSystem #DistributedStorage #DataStorage #CloudFileSystem https://lnkd.in/grJJcUp2

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RDS MySQL zero-ETL integration with Amazon Redshift is now generally available. #zeroetl #rds #redshift

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The New York Summit may be over, but the party is just getting started. 🎉☁️ https://go.aws/4cEBVYx Matt Wood, VP for AI Products at #AWS, discusses the latest launches & technical innovations, customer success stories, & the future of #generativeAI. We’re making it easier for you to quickly, securely, & responsibly deploy AI into production.

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💨🏎️ Accelerate your queries, optimize your #Datalake performance & unlock faster, more efficient analytics. 👉 https://go.aws/3By39CE #AmazonRedshift now offers enhanced query performance with optimizations such as #AWSGlue Data Catalog column statistics, bloom filters on partition columns, new query rewrite rules & faster retrieval of metadata.

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Unlock faster and more efficient analytics with AWS! The latest enhancements to #AmazonRedshift provide improved query performance through optimizations like #AWSGlue Data Catalog column statistics and bloom filters on partition columns. Discover how to accelerate your queries and optimize your data lake performance. #aws #awspartner #data #analytics

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Confluent is transforms their customer experience with #AWS. 👉 https://go.aws/3XeYcpv. Discover how Confluent has benefited from AWS Partner Programs like #AWS Specializations to always put their customer first. ▶️ Connect with Confluent on AWS Partner Solution Finder & #AWSMarketplace. #AWSPartnerSuccessStories

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Here's a practical example of how Formal Methods can make code faster: AWS's new proven-correct authorization engine is 65% faster (even at p99.9) than the previous version. https://lnkd.in/gVCdurKh Sean says in the talk "we wouldn't have attempted a lot of optimizations we did without this backing of proof". Formal methods allow us to optimize systems more boldly, by removing the risk that optimizations will affect correctness. They also allow our teams to move faster, with lower risk, by building confidence in correctness early on in the software development process.

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Join Mahesh Thiagarajan at #CloudWorld to learn how OCI helps customers deploy cloud services and AI where and how they need them: https://lnkd.in/eMJi7v85

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Week 3 reflections at Oracle - Cloud regions and zones go way beyond just an availability feature. Today was the first time I saw Jae Evans live, and it was inspiring to hear her thoughts. I found it fascinating to get a glimpse of how Oracle viewed datacenter regions, how different it was to Amazon's perspective, and how culturally backed both these viewpoints were. During my time at Amazon, cloud regions were perceived fundamentally as an availability feature. A mechanism for customers to create redundancy in their architecture. A way for customers to fail-over to a functioning region if one becomes non-functional. A means to deliver functionality as close to end-customers as possible. This approach worked harmoniously for AWS's humble beginnings supporting mom-&-pop customers that wanted a space on the web for their local business, and fueling organic growth in supporting mid-sized businesses. But by the time large-enterprise and mission critical domains came about, AWS had to 'wedge-in' more nuanced customer requirements into the cloud architecture it had built over time. And it was painful. While Oracle shares similar tenets around availability, it's region strategy goes way beyond operations. Remember that Oracle was an established entity in the enterprise market way before the cloud era. When Oracle entered the cloud business, their customers expected the cloud to work for their needs from day-one. So Oracle innovated its way to offer four types of cloud offerings. It started out with the 'Public cloud' which is the most common style of cloud similar to AWS. But quickly pivoted to 'Hybrid cloud' when it learned its customers preferred to retain select workloads on their premises. It then pioneered 'Dedicated cloud' for customers that wanted a walled environment in the data center of their choice. And finally 'Multicloud' - a reflection of Oracle simultaneously viewing competitors as collaborators. Oracle Database@Azure for instance runs Oracle Cloud databases in Microsoft data centers. Oracle MySQL HeatWave on AWS is a fully managed Oracle Cloud database running on AWS and compatible Amazon Ads, Amazon Aurora and several more Amazon features. The debate on cloud leaders will continue on, but one thing is clear. Customers are the winners. And successful cloud providers not only align culture with their products, but also redefine it as the market evolves. Interested in our mission? Drop me a note! We are hiring! Sr. Principal - https://lnkd.in/gAgQS-9f Principal - https://lnkd.in/gY_u8rNw Sr. SDE - https://lnkd.in/gJgw4b94 SDE - https://lnkd.in/gr3VeQSd #Oracle #OCI #AWS #Cloud #Availability #Features #Hybrid

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What drives continuous innovation? 💻 🔄 https://go.aws/3BL7i6w CEO Matt Garman shares how #AWS is leading the way - leveraging custom silicon, advancing #generativeAI, and deepening our commitment to open source. Read more about the approach that's transforming industries.

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Sometimes small changes are a big deal. S3's per-account bucket limit has meant that buckets have been more of a human provisioning thing, starkly different from objects, which tend to be interacted with primarily from code. For years, customers have been asking us to increase this limit -- and in the storage innovation talk at re:Invent this year, i'd tell a bit of a story about why it was a more complicated bit of work than you might expect. With this limit increase, buckets have become a much more programmatic construct. We hear customers talking about using buckets, with these limit increases, as a way of managing data sharing with their own customers and using them to more effectively isolate data for specific jobs and teams. If larger numbers of buckets opens up a new pattern for you, I'd love to hear more about it. These launches, like object consistency, S3 conditionals, and big bucket limit increases have a tendency to fly a little below radar. But they are the ones that I actually hear the most excitement back from developers about, because they really broaden S3 as a programmatic interface to your data, and a building block for really incredible systems. I'm so impressed with the hard and careful work on the team that went in to getting this one out. https://lnkd.in/gA2cWATM

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