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Sajee Mathew shared this🎉 Exciting News! AWS has introduced open-source MCP servers for Amazon Aurora, DynamoDB, ElastiCache, Neptune, DocumentDB, Timestream, Keyspaces, and MemoryDB. This game-changing development allows AI assistants to seamlessly interact with your databases through natural language prompts. Key highlights: • Enables AI-assisted database development • Supports schema-driven feature development • Automates test code generation • Enhances monitoring and troubleshooting • Works with popular tools like Amazon Q CLI, Cursor, VS Code, and Claude Desktop This is a significant step forward in making database development more intuitive and productive. The MCP servers are now available as open-source projects maintained by AWS Labs. Read the full blog post to learn how you can supercharge your database development with AWS MCP servers: https://lnkd.in/eSj54bFY Aditya Samant, Rohan Bhatia, Utkarsh Shah, Michael ShaoSupercharging AWS database development with AWS MCP servers | Amazon Web ServicesSupercharging AWS database development with AWS MCP servers | Amazon Web Services
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Sajee Mathew reposted thisSajee Mathew reposted thisGain expertise in Amazon Aurora (MySQL/PostgreSQL) operations in One Power-Packed Day! 📌 Join us for an exclusive workshop: "Amazon Aurora Operational Excellence Workshop" 📍 April 9, 2025 in Dallas, Texas ⏰ Full-Day Immersive Experience 📝 What you'll learn: • New innovations and latest capabilities launched in Aurora MySQL and PostgreSQL • Deep-dive into Aurora MySQL and PostgreSQL operational best practices and troubleshooting techniques • Security and resilience strategies from AWS Database experts • Proven Aurora Cost optimization techniques • Exclusive insights from AWS Partner Heimdall Data • Direct access to AWS database specialists (Ask me anything!) Perfect for Enterprise Support customers looking to: ✓ Optimize database performance ✓ Enhance operational reliability ✓ Implement AWS best practices ✓ Network with industry peers Limited seats available - secure yours today! Contact your AWS Account Team to register 💡 #AWS #CloudDatabase #Aurora #RDS #PostgreSQL #MySQL #Dallas #CloudComputing #DatabaseOptimization Poulami Maity Aditya Samant Kiranmayee Mulupuru Vivek Singh shaily porwal
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Sajee Mathew reposted thisSajee Mathew reposted this🔔 Join us for an exclusive session on Amazon Aurora PostgreSQL Limitless Database 👉 https://go.aws/42eY8K0 This revolutionary #database capability is changing how organizations scale database workloads. Amazon Aurora PostgreSQL Limitless Database enables you to scale your Aurora clusters to millions of write transactions per second and manage petabytes of data without creating custom application logic or managing multiple databases. You'll learn about: *️⃣ Aurora PostgreSQL Limitless architecture and features *️⃣ Implementation strategies and use cases *️⃣ Scaling capabilities without operational overhead *️⃣ Best practices #AmazonAurora #PostgreSQL
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Sajee Mathew shared thisI’m happy to announce the availability of four new RDS Security whitepapers. These whitepapers cover important aspects of RDS security for RDS/Aurora for MySQL (and RDS for MariaDB), RDS/Aurora for PostgreSQL, RDS for Oracle, and RDS for SQL Server. If you use RDS, I highly encourage you to give these papers a read. Aurora MySQL, RDS for MySQL, RDS for MariaDB: https://lnkd.in/eBm77FKQ Aurora PostgreSQL, RDS for PostgreSQL: https://lnkd.in/eGur9syX RDS for Oracle: https://lnkd.in/eufvQpHW RDS SQL for Server: https://lnkd.in/ehtjqu6Q Thanks to the authors Steve Abraham, Dan Blaner, Jobin Joseph, Camilo Leon.
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Sajee Mathew reposted thisSajee Mathew reposted thisJoin our upcoming webinar, Supercharge MySQL Workloads with AWS Managed Databases, on Sept 21st, 9:00AM PST 📅 Register here: https://go.aws/3Z6Hr05 During this event, we will cover: 🗸 Key Amazon Aurora MySQL & Amazon RDS for MySQL capabilities 🗸 Recently-launched features 🗸 High availability, resiliency, performance, scaling & data Integration In addition, DraftKings Inc., top digital sports entertainment & gaming company, will share how they run Aurora MySQL at scale. This webinar is for anyone interested in leveraging managed MySQL offerings on AWS. Specialist Solutions Architects will be available to answer questions via live chat. This event will be broadcast on 🗸 LinkedIn: https://go.aws/3LahdEo 🗸 Twitch: https://go.aws/3PpIV2i 🗸 Twitter: https://go.aws/3R8VWPi We hope to see you there! #AmazonAurora #AmazonRDS #Databases
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Sajee Mathew shared thisSajee Mathew shared thisJoin us in Dallas for an exclusive event for our AWS customers! 👋 https://go.aws/3HjG9Y6 In this full day event, you'll connect with Amazon experts to deep-dive AWS purpose-built databases through demos, hands-on workshops, and more. Learn how you can use #AmazonAurora, #AmazonDynamoDB, #AmazonElastiCache, and #AmazonNeptune to build your applications and accelerate innovation.
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Sajee Mathew shared thisJoin us on October 4th.Sajee Mathew shared thisThe *Amazon Aurora Masterclass* is a 5-hour interactive virtual event that will deep dive into Amazon Aurora and its new and exciting features, including Amazon Aurora Serverless v2 and Global Database, as well as engine specific updates for MySQL and PostgreSQL. In addition, you will learn about migration best practices from both a homogenous and heterogenous perspective. SMEs and Database Specialist Solutions Architects will be available to answer questions via live chat. Please register here: https://lnkd.in/gFpZAm6i (https://lnkd.in/gsPrsUjU). Beginning: Tuesday, October 4, 2022 at 9am PST End: Tuesday, October 4, 2022 at 2pm PST Register here: https://lnkd.in/gsPrsUjU 9am - 9.45am: Aurora Overview 9.45am - 10.30am: Serverless v2 Deep Dive 10.30am - 11.45am: Aurora Advanced Features 11.45am - 12.45pm: Migration to Aurora: Homogenous migrations 12.45pm - 1.45pm: Migration to Aurora: Heterogenous migrations
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Sajee Mathew shared thisApply if you're a hands-on builder on the AWS cloud and would like to work with an amazing team. https://lnkd.in/d7yRPcv
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Sajee Mathew shared thisA great event to attend if you're interested in learning about the Solutions Architect role at AWS, and what it's like to work as a SA with some of AWS's largest customers.Sajee Mathew shared thisHave you been curious to learn more about what it's like to be a Solutions Architect at AWS? "Spring" into action and hear from current SAs under our Strategic Accounts team and check out our focused breakout sessions to dive deeper into various topics of work-life balance, pathways to SA, interview tips, and more on April 21! https://lnkd.in/gpg5UhE #AWS #BuildWithUs #StrategicAccounts #DiversityInTech #CloudCompute #AWSIsHiring #WomenInTechnology #SolutionsArchitect #Cloud #AfroTech #WomenInDataScience #DianaInitiative #DevOps #LearnAndBeCurious
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Sajee Mathew liked thisSajee Mathew liked thisFirst-year BME Ph.D. student Ignacio Montoya is seen here walking in a self-balancing exoskeleton, an apparatus that recently earned first place at the College of Engineering’s FAIR Tech Student Innovation Competition. Thirteen years ago, Georgia Tech was the last place Ignacio walked before his spinal cord injury. Today, he’s back, redefining what is possible. Ignacio’s research and passion focus on shifting the physiatric paradigm from passive care to active participation, helping prevent long-term health decline caused by inactivity. | Learn more about Ignacio: c.gatech.edu/4wcfZ14 #WeCanDoThat
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Sajee Mathew liked thisSajee Mathew liked thisIt’s been an incredible run at Cloudflare, but the time has come to explore another challenge. It wasn't an easy decision. Building and leading the Strategic Majors Solutions Engineering team has been one of the most rewarding chapters of my career! I truly believe that a leader is only as successful as their team and I owe my success to my incredible team and partners who embraced the growth mindset and pushed us to be better every day. We didn’t just meet expectations; we set a new standard. Together we achieved a lot: • Crushed Targets: Overachieved our goals every single year! • Technical Excellence: Even as we scaled rapidly and doubled the team every year, we maintained an unparalleled win rate - winning nearly every PoV we pursued. Led the way with industry verticalization best practices. • Elite Performance: I'm incredibly proud to see more than half the team made it to Club! • Drove Innovation: Collaborated with customers, Product, Sales, CS, and Services to make Cloudflare truly "Enterprise-ready" and contributed to our mission of Helping Build a Better Internet! • Future-Proofing: Led the way in adopting AI to drive team efficiency and velocity. • Diverse Expertise: Built what I’d argue is the strongest, most versatile SE team in the organization. To my senior leadership: Joe Collura, Oliver Schuermann, Ian Gallagher —thank you for the mentorship and for pushing me to the next level. A special thank you to Joe for awarding me the leadership coin at our tech summit; that recognition meant a lot and truly reflected the high-energy, high-standard environment we created. To my sales and strategic partners: Chad Harrison, Mike Porter, Michael Tarsha, Farooq Sheikh, Aaron McAllister, Steve Goldsmith, Matthew Hammam, Jill Lewandosky and the entire ecosystem — building strategy and executing complex deals with you was an absolute blast! To my early leaders: Maha Pula, Kathy Horan Lalama, Stephen Stierer, and Christopher Shelley — thank you for investing in me and for helping me grow into the leader I am today. I wouldn't be here without your support. While I am excited for my next chapter, I am incredibly grateful for the opportunity to have worked at Cloudflare. I truly value the mentorship and friendships we’ve built. I will always be proud of what we accomplished together, and I hope our paths cross again in the future. #Cloudflare #SolutionsEngineering #Leadership
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Sajee Mathew liked thisSajee Mathew liked thisCome check out today's livestream with me and Trevor Spires where we'll show you how to add agentic AI capabilities on top of your existing back-end APIs. AI can enhance your end users' experience with natural language capabilities. It can summarize the data you're already producing in your API, provide analysis, insights, and recommendations all without touching the existing APIs! The whole stack is completely serverless. The app runs on AWS Lambda and Amazon Aurora DSQL and we'll deploy a serverless Model Context Protocol (MCP) server on Amazon Bedrock AgentCore Runtime to serve a chat agent. https://lnkd.in/eRkZbABmAdd an Agentic AI Interface to a Serverless Application Stack with Bedrock AgentCoreAdd an Agentic AI Interface to a Serverless Application Stack with Bedrock AgentCore
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Sajee Mathew liked thisSajee Mathew liked thisExcited to share my agent-skills reached 25K GitHub stars! Get the skills for free: https://lnkd.in/gqFGTYUK 🙏 For those new to the project, agent-skills provides production-grade engineering skills for AI coding agents. By default, AI coding agents take the shortest path - which often means skipping specs, tests, and security reviews. agent-skills fixes this by encoding the workflows, quality gates, and anti-rationalization checks that senior engineers use into structured steps. It forces AI to follow true engineering discipline from definition all the way to deployment. At its core, the toolkit maps directly to the Software Development Life Cycle (SDLC) through simple slash commands. It guides agents through the entire journey: from Define (/spec) and Plan (/plan) with test-driven development to clarify and break down requirements, to Build (/build) for incremental implementation. From there, it enforces strict quality gates to Verify (/test) the logic, Review (/review, /code-simplify) for security and maintainability, and finally Ship (/ship) to production with confidence. The new release milestone is a massive testament to the community's drive to build more reliable software in the era of Agentic Engineering. To celebrate, we just rolled out Release 0.6.0 - our biggest orchestration update yet. Here is a look at what's new: 🛠️ The Orchestration release We've introduced three explicit, composable layers to give you precise control over multi-agent workflows: Personas: The who (roles with specific perspectives and output formats). Skills: The how (step-by-step workflows with strict exit criteria). Slash Commands: The when (user-facing entry points). 🚀 Parallel Fan-Out with /ship The /ship command is now a parallel fan-out orchestrator. It runs the code-reviewer, security-auditor, and test-engineer personas concurrently against your changes, merging their reports into a final go/no-go decision based on concrete thresholds. 🔌 Expanded Integrations & Hooks 7 new native slash commands for the Gemini CLI. Out-of-the-box support for Kiro IDE & CLI and OpenCode. A new opt-in citation cache for source-driven-development to prevent redundant framework-doc lookups across sessions. More robust JSON handling and graceful fallbacks for session-starts. A huge thank you to everyone who landed PRs in this release - Your contributions make this project thrive. Let’s keep shipping! 🚢 #ai #programming #softwareenineering
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Sajee Mathew liked thisSajee Mathew liked thisLast week, I had the pleasure of presenting at PostgreSQL Conference San Jose alongside Nazneen Jafri on one of my favorite topics, Vacuuming in PostgreSQL. The room was packed with passionate PostgreSQL folks, and the Q&A that followed the session was fantastic. Vacuuming is at the heart of PostgreSQL performance, and walking through case studies with an audience that brought great questions made it a really rewarding session. Our team at AWS showed up strong at the conference, with several of my colleagues presenting on other topics as well, which made it even more fun. Thank you to the conference organizers(especially Joshua Drake) for putting together a great event, and to everyone who attended our session and brought such thoughtful questions.
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Sajee Mathew liked thisSajee Mathew liked this🚀 Excited to share a new blog post I co-authored on the AWS Partner Network (APN) Blog! If you're building agentic AI applications and need enterprise-grade reliability, this one's for you 👇 📖 Read the full blog: https://lnkd.in/gz-D5kQAOrchestrating Intelligent Agents at Scale: How AgentCore and Temporal Create Robust AI Systems | Amazon Web ServicesOrchestrating Intelligent Agents at Scale: How AgentCore and Temporal Create Robust AI Systems | Amazon Web Services
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Sajee Mathew liked thisSajee Mathew liked thisApril was a pretty strong month for open-weight LLM architecture releases: 1. Gemma 4 Continues the local/global attention recipe with sliding window attention, which is a classic yet "easy" way to extend context while making it cheaper than full attention. 2. GLM-5.1 A large MoE model that based on DeepSeek V3.2 with multi-head latent attention (MLA) and DeepSeek Sparse Attention 3. Qwen3.6 Keeps the Qwen3.5-style hybrid stack. I.e., mostly Gated DeltaNet / linear-attention-style layers, with periodic full attention layers. Next to the 35B-A3B MoE variant there now also is a 27B dense variant. 4. Kimi K2.6 A 1T-scale sparse MoE model with DeepSeek-style MLA and only a small fraction of parameters active per token. It is another good example of how frontier-scale models keep improving without major architecture changes (coming from DeepSeek V3) except increasing the size. (Lots of performance improvements are due to the training recipe.) 5. DeepSeek V4 Probably the most architecture-heavy release of the month. The Pro and Flash variants add manifold-constrained hyper-connections, compressed attention variants, hash-based routing in the early layers, and a 1M-token context window. All of these are now added to the LLM Architecture Gallery. I am keeping the notes short for now, especially for DeepSeek V4, because the details around mHC and compressed attention deserve a more careful writeup. More once I am fully back in May.
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Sajee Mathew liked thisSajee Mathew liked this🔍 See how Ring built semantic video search at billion-scale with Amazon RDS for PostgreSQL & pgvector. 👉 https://go.aws/4mJsXPE Ring stores 100-200 billion embeddings across 9 AWS Regions, serving millions of customers with natural-language video search like "dog in my backyard" or "package delivery"—all in under 2 seconds. Key architectural decisions: 🎯 User-based table partitioning for query performance & data isolation ⚡ Parallel search with 100% recall (no ANN indexes) 💾 EBS-optimized instances with aggressive parallelism (16 workers) 🔥 pg_prewarm for cold-start optimization The counterintuitive choice? Removing vector indexes entirely & relying on parallel sequential scans, which delivered perfect recall while still meeting their sub-2-second latency target. #AmazonRDS #PostgreSQL #VectorSearch
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Priya Kandasamy
FABCON 2026 in Atlanta was nothing short of mesmerizing-where bold ideas, breakthrough tech, and real-world impact came together seamlessly. An electrifying blend of vision, innovation, and execution that set the tone for the future of data and AI. Now, it’s a wait-and-watch moment to see how much of it proves truly real, scalable, and competitively differentiated. ** AI Foundry: Fabric IQ is positioned as a capability that makes data AI-consumable for agents and AI apps via OneLake ** OneLake Transform transformations are applied on top of shortcut or mirrored data (zero‑copy, zero‑ETL), preserving the original source while exposing a transformed view in OneLake. New Connectors have been added (SharePoint in preview). ** Data and Catalog mirroring / zero copy options across open table formats from snowflake and Databricks into Fabric ** SAP Fabric and Salesforce Fabric version with zero copy and write back functionality ** Availability of CoPilot across various platforms within Fabric exclusively designed to support that platform only ** Fabric AI and Data Agents ** Zero ETL Data Mirroring onto Onelake from Azure data for PostgreSQL. Analytics on Operational workloads made simple. ** Building declarative AI Pipelines made simpler with dspy and pixeltable Thanks to Cognizant leadership for the opportunity. Rajesh SreepadaSatish Hegde FABCON & SQLCON - The Microsoft Fabric & SQL Community Conferences Microsoft Fabric
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Kevin Petrick
We're proud to launch the Redis Partner Network today alongside global leaders like Infosys AI is only valuable when it delivers measurable outcomes in production. That requires speed, scalability, and efficiency at every layer. As Ramanath Suryaprakash said, real-time data and memory are critical to making that happen. Redis is becoming a core part of that foundation, and we’re excited to deepen this collaboration. https://lnkd.in/g592cTjh #RedisPartnerNetwork #Redis #EnterpriseAI #Partner Mike Moss Akshat Srivastava Sravani G Shauna Sampson Pranesh Divakar Divyanshu Tiwari
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Eashan Kaushik
𝙎𝙪𝙢𝙢𝙖𝙧𝙮 𝙤𝙛 𝙩𝙝𝙚 𝘼𝙢𝙖𝙯𝙤𝙣 𝘿𝙮𝙣𝙖𝙢𝙤𝘿𝘽 𝙎𝙚𝙧𝙫𝙞𝙘𝙚 𝘿𝙞𝙨𝙧𝙪𝙥𝙩𝙞𝙤𝙣 𝙞𝙣 𝙉𝙤𝙧𝙩𝙝𝙚𝙧𝙣 𝙑𝙞𝙧𝙜𝙞𝙣𝙞𝙖 (𝙐𝙎-𝙀𝘼𝙎𝙏-1) 𝙍𝙚𝙜𝙞𝙤𝙣 AWS published a fascinating deep-dive into the DynamoDB outage that rippled across us-east-1 this week. Turns out the root cause wasn’t capacity or network… it was a race condition in DNS automation that deleted the regional endpoint entry for DynamoDB. That one missing record triggered a domino effect: - EC2 instance launches failed - NLBs started failing health checks - Services from Lambda to ECS to Connect got impacted There were three distinct periods of impact: - 𝟭𝟭:𝟰𝟴 𝗣𝗠 𝗣𝗗𝗧 𝗼𝗻 𝗢𝗰𝘁 𝟭𝟵 → 𝟮:𝟰𝟬 𝗔𝗠 𝗣𝗗𝗧 𝗼𝗻 𝗢𝗰𝘁 𝟮𝟬: Amazon DynamoDB (DynamoDB) experienced increased API error rates; endpoint resolution failures occurred due to DNS issues. - 𝟮:𝟮𝟱 𝗔𝗠 → 𝟭𝟬:𝟯𝟲 𝗔𝗠 𝗣𝗗𝗧 𝗼𝗻 𝗢𝗰𝘁 𝟮𝟬: New launches of Amazon EC2 instances failed, and even once launches succeeded, some connectivity issues for newly launched instances persisted. - 𝟱:𝟯𝟬 𝗔𝗠 → 𝟮:𝟬𝟵 𝗣𝗠 𝗣𝗗𝗧 𝗼𝗻 𝗢𝗰𝘁 𝟮𝟬: Network Load Balancer (NLB) in us-east-1 experienced increased connection errors because of health check failures cascading. Full AWS analysis here → https://lnkd.in/exm3dkjE
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Mr.Dhiraj Rokade
🚀 Building Reliable Communication Between Systems: A Look at Apache ActiveMQ In today’s world of distributed applications, ensuring smooth and reliable communication between services is critical. That’s where Apache ActiveMQ steps in as a powerful, open-source message broker designed to keep systems connected, responsive, and scalable. ActiveMQ enables applications to exchange messages asynchronously, ensuring that even if one service is slow or temporarily offline, the workflow continues without interruption. For engineering teams, this means fewer failures, better decoupling, and more resilient architectures. 💡 What Makes ActiveMQ Stand Out? 👉 Multi-protocol support (AMQP, MQTT, STOMP, OpenWire, JMS) 👉 High availability & fault tolerance 👉 Durable message storage so no data is lost 👉 Flexible deployment — on-prem, cloud, containerized 👉 Scalable architecture for high-volume enterprise workloads With these capabilities, ActiveMQ becomes a trusted backbone for financial systems, telecom platforms, logistics workflows, IoT setups, and any application needing reliable event-driven communication. 🧠 Why Teams Use ActiveMQ 👉 Organizations choose ActiveMQ when they need: 👉 Smooth integration between microservices 👉 Queueing to handle traffic spikes 👉 Publish–subscribe messaging for real-time updates 👉 Guaranteed delivery of critical information 👉 A central hub for decoupling large applications It simplifies complex interactions and provides a robust messaging layer that scales with business needs. 🌟 Final Thoughts Apache ActiveMQ isn’t just a message broker it’s a foundational tool for building resilient, loosely-coupled, and event-driven systems. As businesses move toward microservices and distributed architectures, reliable messaging becomes essential, and ActiveMQ continues to be a proven, enterprise-grade choice. If you’re exploring messaging queues, event-driven architectures, or want to integrate distributed components more effectively, ActiveMQ is worth a closer look. #ApacheActiveMQ #MessageBroker #Microservices #EventDrivenArchitecture #SoftwareEngineering #Integration #Scalability #DistributedSystems #MessagingQueue
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Brian Stajkowski
The latest AWS outage affecting DNS shows that even at scale with countless COEs on your belt, it's the simple things that bite you. That fatal flaw appears to be the assumption that a plan invoked by the DNS Enactor will complete and do so in a time frame that will not cause race conditions. What was missing is per endpoint state. A source of truth on pending and new changes that will be or are being applied to endpoints. Plans then drawn for new Enactors can flag endpoints that newer changes will be applied and timeout any latent updates. This could also prioritize changes that are the most stale on new plans, where older plans were not fast enough to complete their plans. #dynamodb #aws https://lnkd.in/giBx4qqa
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Arun Seetharaman
This is my favorite kind of improvement: small surface area, low blast radius, and disproportionately high architectural return. It’s not flashy, but it’s how most real-world systems actually move forward. You get better resilience and scalability without ripping through business logic or reworking data access patterns. The connection layer becomes aware of topology, roles, and authentication, exactly where that complexity should live.
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