Senad Dizdar

We recently announced the GA of Oracle Database@AWS. Customers can now run Oracle Exadata Database Service and Oracle Autonomous Database on dedicated infrastructure on OCI within the AWS U.S. East (N. Virginia) and U.S. West (Oregon) Regions. In addition, to meet growing customer demand, we plan to make the service available in an additional 20 AWS Regions around the world. InfoWorld has the details: https://lnkd.in/gswnvM9z

108

8 Comments

The AWS Asia Pacific (Taipei) Region is now open. It has 3 Availability Zones (AZs), and brings the #AWS global footprint to 117 AZs across 37 geographic Regions worldwide. Read Betty Zheng's new blog post at https://lnkd.in/gev94yyR to learn more.

514

5 Comments

Unify cloud cost data and your hybrid and multi-cloud Oracle Cloud Infrastructure (OCI) with Datadog Cost Management (CCM). Now it’s easy to access the same daily cost visibility, allocation, and optimization capabilities for OCI that you already use for AWS, Microsoft Azure, and Google Cloud. In this blog post, find out how OCI support in CCM helps you: ✔️ Get granular visibility into costs ✔️ Find new opportunities for savings ✔️ Avoid added overrun expenses ✔️ Control unpredictable AI costs Learn more: https://lnkd.in/eDAFfwdx

70

1 Comment

📣 kgateway now supports Kubernetes Gateway API Inference Extension! 📣 AI workloads backed by GPUs running on Kubernetes are NOT like typical webapps. You need to solve the GPU multiplexing problem, but you also need to solve the request load-balancing problem. AI inference requests have unique characteristics that make conventional load-balancing techniques less effective. kgateway helps with this problem. Make smarter decisions based on real-time metrics such as GPU cache utilization, LLM queue depths, model names/fine-tuned adapters loaded, etc, etc. 🔎 Read more in my latest blog: https://lnkd.in/gTsna8wj 🔎 Checkout the Inference Extension OSS community: https://lnkd.in/g6gqyBju 🔎 Get started with kgateway: https://lnkd.in/gqCVE29a #ai #inference #kubernetes #networking #gatewayapi #apigateway #kgateway #cncf #llm

43

3 Comments

People often ask me about the differences in architecture between Amazon Dynamo (the 2007 SOSP paper), DynamoDB (the AWS serverless NoSQL database), and Aurora DSQL (the AWS serverless SQL databases). I captured the key points on durability, high availability, programming model, and trade-offs in my blog: https://lnkd.in/gkMG_tVD TL;DR: Despite the shared name, Dynamo and DynamoDB have little in common architecturally, and make very different trade-off decisions.

632

8 Comments

From Kubernetes diffs and ECS weighted traffic shifting to Terraform auto-approvals and GitOps enhancements, we packed Q1 with powerful CD platform upgrades. Highlights include: ✅ Namespace enforcement for Kubernetes & Helm. ✅ Blue-Green weighted traffic for ECS. ✅ Git-triggered pipelines in GitLab. ✅ Environment-type-based freeze windows. ✅ API-driven observability. 👉 Dive into what’s new: https://lnkd.in/dKGG3h95

24

🚀 AWS just made it easier to sell container-based products on Marketplace! The new fulfillment experience simplifies deployment options, adds clarity, and improves the buyer + seller journey — huge win for SaaS teams using EKS/ECS. At Labra, we’ve helped dozens of customers list container-based SaaS on AWS Marketplace with: ✅ Faster listings ✅ Metering + entitlement integration ✅ FTR compliance ✅ Zero headaches If you’re thinking containers + Marketplace, we’ve got the playbook ready. https://lnkd.in/e3syJWK2 #AWS #Marketplace #Containers #EKS #SaaS #CloudGTM #Labra #FTR

37

I keep being asked how Ably performed during the AWS us-east-1 outage this week. The bottom line is that there was no customer impact: no downtime, no errors and imperceptible impact on latency. Ably is hosted on AWS with services operating in multiple regions globally. Each region scales independently based on traffic, and us-east-1 is normally the busiest region. When AWS services in us-east-1 started failing, the Ably data plane kept operating as normal. The AWS disruption meant that we couldn’t add capacity in that region, so new connections were routed to us-east-2 instead; this is a routine intervention that we make in response to disruption in a region. Existing connections in us-east-1 stayed live, serving traffic with the same latency and zero errors. This was our globally-distributed system doing exactly what it was built to do. Read the full breakdown: https://lnkd.in/eeVsie4a

138

7 Comments

What’s new in GitLab 18.7? Watch as GitLab CEO Bill Staples and Distinguished Engineer Shekhar Patnaik break down the newest updates. This release takes another important step in evolving GitLab Duo Agent Platform, bringing automation, control, and clarity to engineering teams at scale. Watch the full video to see it in action.

204

3 Comments

From the start, Metronome knew real-time billing couldn’t be built on batch. That’s why they chose Confluent as the foundation for their data architecture, streaming billions of events daily and processing tens of thousands of invoices per second with ease. We handle the infrastructure complexity so 90% of their engineers can focus on building and improving the product. Explore how they’re delivering a modern billing experience powered by real-time data infrastructure → https://cnfl.io/40S0YDS

75

Big news for AI workloads on Oracle Cloud Infrastructure: OCI + DDN Infinia are redefining how enterprises scale AI. In recent benchmarks, Infinia on OCI showed linear scalability, ultra-low latency, and GPU utilization near 100% — a huge step forward for running production-scale AI. This means enterprises can: ✅ Break down data silos with unified AI storage ✅ Support exabyte-scale datasets + 100Ks of GPUs ✅ Accelerate real-world use cases from finance to healthcare 👉 Full blog here: https://lnkd.in/emkxJuvE 💬 Curious — what’s your biggest storage bottleneck when scaling AI today? Thanks for publishing Pinkesh Valdria, Dhvani S., Salem Albeiroti Kumaran Rajaram

96

1 Comment

Kikoff is constantly innovating to build smarter, faster financial tools. In an interview with Built In SF, Engineering Manager Patrick Wang shares how the team is tackling technical debt and optimizing performance to solve problems for customers, faster. Read more on what’s ahead: https://lnkd.in/gBvk7cQ9

10