Manny Huerta

Customers often ask if Amazon Q Developer is only for Amazon Web Services (AWS) workloads. The short answer is no. Our developer platform can add value to your on-premises development and multi-cloud needs, regardless of your platform. Our partners at Heroku have a great use case for this. Check out their blog post on how the Amazon Q Developer / Heroku integration simplifies their customer workflows.

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Looking to get started with in-database machine learning with MySQL HeatWave? This guide will help get you on the right path. https://lnkd.in/gPjuJU9g

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Today, AWS announces the general availability of Amazon OpenSearch Service zero-ETL integration with Amazon S3, a new efficient way for customers to query operational logs in Amazon S3 data lakes eliminating the need to switch between tools to analyze data. Customers can quickly get started by installing out-of-the-box dashboards for AWS log types such as VPC Flow, WAF, and Elastic Load Balancer. Customers who use OpenSearch Service also use Amazon S3 as a cost-effective way to store infrequently-accessed operational log data. To perform analysis on Amazon S3 data and correlate data across multiple sources, customers previously had to copy that data into OpenSearch Service to take advantage of its rich analytics and visualization features that help them understand data, identify anomalies, and detect potential threats. However, continuously replicating data between services can be time consuming, expensive, and hard to maintain. With OpenSearch Service zero-ETL integration with Amazon S3, customers can access operational log data stored in Amazon S3 using OpenSearch Service, making it easier to perform complex queries and visualizations on their data without any data movement. https://lnkd.in/dN_YaCqd

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Steph Gooch recently released a great article about Spring Cleaning your AWS Costs. Her article was great, and emphasizes removing idle resources (S3 buckets, EBS snapshots), and creating a prioritized list. 👇 Rahul Subramaniam and myself discussed it on our stream last week: https://lnkd.in/g885fzVC Steph's article: https://lnkd.in/gJHCs2Mk At CloudFix, we have automated finder/fixers for most of the points that Steph brought up. - Enable S3 Intelligent Tiering - https://lnkd.in/g3pkkZvq - Get rid of unused AMIs and EBS volumes - https://lnkd.in/g6Swa-xU - RDS Multi-AZ Deployments that could be Single AZ - https://lnkd.in/gACUrhB3 - Move managed services to graviton - https://lnkd.in/gfbh7v7Z & https://lnkd.in/g3qeQ-5q If you need to do spring cleaning in your AWS account, consider CloudFix your Roomba - always looking for bits to clean up so you can spend your time doing something else (like migrating to serverless or deploying AI)! #aws #costoptimization

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In collaboration with AWS, we are thrilled to announce the Confluent blueprint for Amazon OpenSearch Ingestion! This serverless feature enables customers to effortlessly transfer data from Confluent to OpenSearch Domains or OpenSearch Serverless collections. This capability unlocks numerous new use cases, such as Retrieval-Augmented Generation (RAG), real-time log analytics, and more. Read the full announcement, including a complete example of setting up a Confluent/OpenSearch pipeline using the new blueprint (with optional use of Schema Registry), here ➡️

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Capital One's journey to serverless architecture has taught our teams a lot. I'm excited to share our best practices, so others can leverage the potential of serverless computing within a massive-scale environment. Get all the info and learn more about our serverless-first approach: https://lnkd.in/enmW66GU

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Learn the ins and outs of data latency with this expert guide from Oracle. https://lnkd.in/gnQJdJgS

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Agents for Amazon Bedrock support memory retention and code interpretation - now in preview. Dynamically generate code and run code snippets and enable your agents to learn and adapt over time. #AWSome #GenAI #AmazonBedrock https://lnkd.in/gAj2N9q4

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Infusing resiliency into our applications typically introduces complexity. AWS Step Functions (SF) have been my go-to for managing more complex workflows, shifting some of that complexity to a managed service and away from our code. However, adopting SF comes with challenges and may not be a viable option depending on your context. The concept of persistent execution with Temporal is an interesting alternative to consider. You can check more here:

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OpenSearch Serverless halves the minimum OCU to 2, so the minimum monthly cost is now ~$345. It's a good step forward, but I want a search service with scale-to-zero and no minimum uptime cost. Sadly, Elasticsearch serverless is also based on an OCU-equivalent uptime unit. Algolia is perhaps the closest to usage-based pricing. Is there another serverless search service that I should look at? https://lnkd.in/gJYhqQWR

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Did you know? AWS has enough data storage capacity to hold every single book ever written...twice! 📚📚 Now that's what I call cloud storage! ☁️ 🚀 #DAY79 of my 100 Days Technical Transformation Challenge! 🌐 Understanding Amazon VPC: Create your cyber paradise. 🎟️ Exploring VPC Endpoints: Get VIP access to AWS services. 👫 Mastering VPC Peering: Bridge communication between VPCs. 🐳 Embracing Amazon ECS: Simplify container management. 💾 Conquering Amazon RDS: Effortless database management. Join me on this AWS journey! Read the full blog post. 💻 #TechnicalTransformation #AWS #CloudComputing https://lnkd.in/g5uSzkgf

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The ability to chat with Amazon Q Developer about your AWS account resources is now generally available. This powerful new feature allows you to easily query and explore your AWS infrastructure directly from the AWS Management Console. https://lnkd.in/gBqNCPtz #aws #genAI #amazonQ #productivity #aws #awscommunity

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AWS is costly Isn't that the usual response when someone questions why we are spending so much on the cloud? The response stems not from factual evidence, but inability to understand #AWS ecosystem. I have witnessed people complaining about the cost being so high and how they are burning money on it. But my simple question to such leadership is why you can't sit down with your engineering team, hold the baton in your hand, and lead the way. When was the last time, you actually tried to dissect the information and question each service usage? the role that it plays in the architecture? the need to use services in non-production mode? the possibility of any alternative? When was the last time, you did your own research and try to fight until you reach to the point where everything is justified? Many are just afraid to invest the effort it requires because of the complexity involved in the process. But it is also the reason, why your company is bleeding. There are always alternatives. If you are restless and your designation is not the result of several years spent in Industry, but because of constant struggle to get to the bottom of any situation, it is a time to put your experience to use, or it is merely a talk, venting out frustration on the people you work with. Not everyone is creative, most lack production-grade experience, that is where leadership must step in and be the light. Besides, I also accept that you may not get valuable insights from the AWS Support team. I had my encounters and what should have taken merely a day to fix a problem took six months. That too a defect in their service after presenting facts and evidence. I still admire AWS for being feature-rich and developer-friendly. The tooling and ease of configuration it provides are incomparable with the next two players. On a funny note, do you remember what Elliot once said, "#CTO of a company and still owns a Blackberry?" I hope you don't want to be that CTO or a VP who lacks depth and clarity and does nothing. A wise man once said "If your path is difficult, it is because your purpose is bigger than you thought"

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If you'll be at the #DataAISummit, join Ashok Singamaneni and myself (Scott Haines) as we teach you the ropes of building "Effective Lakehouse Streaming with Delta Lake and Friends". https://lnkd.in/gqmcJmRC We'll be teaching lessons learned (the hard way), and showing how streaming-first is the correct fit for "most" if not all your workflows. Learn to leverage #DeltaLake like an expert, and we'll introduce you to some effortless patterns for making your streaming journey a breeze. You'll also hear from Ashok Singamaneni as we talk about how to leverage painless workflow orchestration with #brickflow, and how to build data trust-networks using #sparkexpectations. #spark #deltalake #sparkexpectations #brickflow #nike #oss #dataai

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In our recent blog, Ebbey and I show how generative AI can work with users interactively to create code from AWS Architecture Diagrams. We use Amazon Bedrock agents to: ✅ Automatically understand and analyze Architecture Diagrams ✅ Have interactive conversation with users to get more details ✅ Generate Terraform or CloudFormation code based on predefined modules, using Retrieval-Augmented Generation (RAG) to adhere to company guidelines This method aims to streamline cloud deployments and enhance consistency in Infrastructure as Code (IaC) creation. Read the full article to learn more: https://lnkd.in/gGPkn7Rh It might also inspire similar applications of Bedrock agents in your own workflows!

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