Technology
#740: AWS News: EC2 Instance Attestation, S3 Conditional Deletes, and more!
In episode #740 of the AWS Podcast, hosts Lishy and Jillian discuss the latest AWS updates, including the introduction of EC2 Instance Attestation for validating trusted software and S3's new con...
#740: AWS News: EC2 Instance Attestation, S3 Conditional Deletes, and more!
Technology •
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Interactive Transcript
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This is episode 740 of the AWS podcast released on October 6th, 2025.
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I love everyone. Welcome back to AWS podcast. I'm Lishy with you. Great to be back.
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Join by my co-host, Jillian Ford, Gidey, Jillian Hadoin.
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It's always a good day when it's podcasted.
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This is true. I think we can live by the, in fact, that's a coffee mug.
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Right. That right.
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Making. So we have lots of updates. I think over 70 updates today.
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A couple really caught our eye. I mean, it's always hard to choose a
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favorite like a favorite child. It can't be. But if I had to choose, I think when we're looking
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through AWS announces EC2 instance attestation. Now, this is really important and really,
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really cool. This is generally available. And it basically makes it easier for you to validate
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that only trusted software is running on your EC2 instances, including instances with AI chips and
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GPUs. Now, before you could, you know, rev operator access, et cetera, but how do you verify
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that the target EC2 instance configuration is what it actually is? So now what it is is you can
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cryptographically verify that your EC2 instances are running your trusted configuration and your
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software. So this uses the Nitro trusted platform module and a testable Amazon machine images.
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And basically, you can verify whether a target EC2 instance has the same measurement as the
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reference measurement generated by the IMI. And the this also integrates with KMS, the whole bunch
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of other stuff. But what's really cool here is not only is this available, but it just ease like
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it doesn't cost you anything to use. This is pretty important, Julie.
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This is. Yeah. I can imagine there's just like a lot of like important use cases where you'd
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want to be able to utilize this. So I'm very excited to see. Yeah. It's about proving. And you know,
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one thing with security, it's one thing to say security, but it's the other thing to prove to it,
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to an auditor, to inspect it, to yourself to say, Hey, am I confident that this is the thing I
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think it is? And can I test? And this is available in all AWS commercial regions, including the
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history that caught our eyes as well. Oh yes. Because I think a lot of people have been afraid
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of deleting something just in case there might be another object that is lingering around before
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you delete it. And that's what this new launches this new feature is now supports conditional
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deletes for general S3 buckets. So this helps you prevent accidental deletions in high concurrency,
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multiple writer scenarios. So Amazon S3, they're only going to allow your delete request to succeed.
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If you have this e tag that is provided that matches the object. So I know that would give
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someone like me just a lot more safety security, be able to sleep at night. Exactly. So it's basically
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saying, am I deleting something that I think I'm deleting as in, is it the version that I think I'm
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deleting or did it get changed by someone else? So this is really useful when you got lots of people
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changing files over time. And you think you're deleting the version that you want to delete and
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it's not like. So this now lets you do that. You can also use the if match condition key on your
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S3 bucket policies to force that condition, which is pretty cool. And also it's available at no
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additional cost in all AWS region. So again, it's one of those nice quality of life things that
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pops up and makes life easier and you don't have to worry about it. It just happens. You're off
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and forget. So let's jump into some of the other updates as I mentioned, there's a lot. Let's start
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with analytics. AWS Cleanrooms now supports incremental ID mapping with AWS entity resolution. So
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what this does is helps you perform real-time data synchronization across your collaborators
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data sets with the privacy enhancing controls of AWS Cleanrooms. And now you can populate ID mapping
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tables in a Cleanrooms collaboration with only the new modified or deleted records since the last
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analysis. So this just makes it easy to share data when you kind of don't trust each other, but
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you need to trust each other. Amazon Open Search Service now supports Open Search version 3.1. So
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improvements in areas like search relevance and performance. It also introduces features to
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simplified development of vector-driven applications for general workloads. It also incorporates
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Lucene 10 that enables optimized vector field indexing resulting in faster indexing times and
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reduced indexing sizes and lots of other other benefits as well. Amazon Open Search ingestion now
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supports cross account ingestion and Amazon Open Search Service announces a derived source for
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storage optimization. So this is a new feature that can reduce the amount of storage required for
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your domain. And it means you can skip storing source fields and dynamically derive them when
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required. So you can in the result rather than the working files. Amazon Open Search serverless now
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supports disk optimized vectors. So this allows you to implement high quality vector search capabilities
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while significantly reducing costs. This is a big deal. So you can choose between memory optimized
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and disk optimized vector storage options. And disk optimized gives you the same accuracy in
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recall rates by a costless. They make it slightly higher latency. So it's good when you don't need
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sort of a sub millisecond response times. So things that are a little bit more bachy can really fit
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in there. And the Open Search team is very busy because Amazon Open Search Service now supports AI
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powered forecasting. So this can allow you to power insights into trending infrastructure utilization
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and events, applications and business metrics and more. And Amazon Open Search Service has announced
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StarTree index. This is a new feature that significantly improves aggregation performance for
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high cardinality and multidimensional queries. This index pre aggregates data across configured
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dimensions and metrics at ingestion time, which enables sub-second response times for frequent
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aggregations. Now StarTree index is designed for real time allocate, real time analytics, I should
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say, and requires no changes to query syntax. So this is good. Open Search automatically uses the
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optimized path when supported queries are detected. And early benchmark show faster aggregation
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performance on large data sets. So this is going to be really interesting new capability. It works best
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with a pen-only data and builds during segment refresh merge. Amazon Redshift also announces the
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general availability of multidimensional data layouts or MDDL. These dynamically sought data based on
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actual query filters accelerating query performance. So unlike traditional sorting methods that
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sought data based on fixed columns, MDDL sought data based on query filters. So like things like
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sales in the US, for example, which can give you up to 10 times better end-to-end performance compared
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using only optimal single column sort case for query workloads with repetitive query filters. So
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this is a really interesting thing if you live in this world of data warehasses. That'll be interesting to you.
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Up next, we've got application integration. Amazon EventBridge now extends KMS customer managed
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key support to event bus rule filter patterns and input transformers. This capability enables you
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to use your own encryption keys to protect sensitive information in your event filtering and
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transformation logic to meet stringent security and compliance requirements.
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AWS X-ray introduces adaptive sampling for automatic optimized error detection.
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This helps development teams reduce mean time to resolution during incidents by providing
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comprehensive trace data for root cause analysis while maintaining cost efficient sampling rates
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during normal operations. Adaptive sampling supports sampling boost and a non-le span capture.
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AWS step functions now supports additional data sources and new observability metrics for
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distributed map. AWS step functions is definitely one of the most underrated,
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I'm a huge fan of step functions. If you are not familiar with it, if you've got a workflow,
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there's a good chance that it is a good use case for step functions. You can orchestrate over 14,000
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API actions from over 220 AWS services to build distributed applications and data processing
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workloads. Like I said, if you have a workflow type of architecture, there's a good chance that
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step functions would be a really good fit. And it's a lot easier to use than it used to be.
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And it has visual visual interface as well. And using LLAMs, it's even easier to build stuff.
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So I'm literally using it now and I haven't used it for a while. I'm like, oh, this is so easy
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because I don't have to know anything about it. It just does the thing. Just does the thing.
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And speaking of step functions, we've got it now support IPv6 with dual stack endpoints.
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Proving once again, the 2025 is the year of IPv6. Let's talk about artificial intelligence,
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no updates in this, but not only joking, plenty of update. Stability AI image services is now
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available in Amazon bedrock. So this gives you a comprehensive suite of nine specialized
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imaging editing tools designed to accelerate your professional creative workflows.
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So this gives you granular control over image editing with a range of tools, which means you can
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go from concept to finish tool very quickly. So things like remove background, edit object,
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searcher, replace searcher, recolor, in paint, whole bunch of stuff. So very powerful.
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We're happy to announce on demand deployment for custom meta alarm models in Amazon bedrock. So
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this is an on demand version of meta alarm 3.3 that's been fine tuned or distilled in bedrock.
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Deepseek version 3.1 model is now available as a fully managed option within Amazon
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bedrock. So again, if that's a flavor that you want to use, you can open AI open weight models
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have expanded to new regions on Amazon bedrock. Now this expansion brings these really powerful
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AR models closer to customers in different parts of the world. Now this means that you can use
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state of the AR models while keeping a data where you want them to be and it means you get access
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to the open AI open weight models that also excel in certain spaces. And one of the things we're
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learning with foundation models and frontier models is that they all do different things
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slightly better or worse than each other. And so it's not kind of one model to rule them all.
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It's lots of models. And so that's why people like having choice. Speaking of which,
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Quin 3 models are now available fully managed in Amazon bedrock. So this gives you again access
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to four Quin 3 open weight foundation models that are available as fully managed serverless offerings.
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Amazon bedrock agent core runtime browser and code interpreter have added support for VPC
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AWS private link cloud formation and tagging. So this means you can integrate it into your
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automated infrastructure as code. Now just as a reminder, agent core runtime enables you to deploy
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and scale dynamic AI agents securely using any framework protocol or models. So it gives you lots of
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choice. Amazon Lex provides generative AI based enhanced natural language understanding it eight
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new languages. So you get Chinese, Japanese, Korean, Portuguese, Catalan, French, Italian, and German.
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So eight entire languages that I can't speak. So you got a lot more capability there.
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And Amazon Lex has also provided enhanced confirmation and currency built in slots for 10
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additional languages as well. So more understanding for Portuguese, Catalan, French, Italian,
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German, Spanish, Mandarin, Cantonese, Japanese, and Korean. So this all helps with having more
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natural conversations with Lex. We're happy to announce AWS new year on SDK 2.26.0. This release
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introduces support for PyTorch 2.8 and jacks 0.6.2 as well as enhanced inference capabilities on
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training to instances. Now this is really important for deep learning workloads, etc. This allows
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you to deploy optimizations, parallelism support, mixture of expert models, etc. You can also
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now deploy flux one-dev image generation models along with Lama for Scout and Mavic variants
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in beta on training to instances. So lots of options for those smaller, more nifty models.
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Amazon Nova Act Extension now has a build and test AI agents within your IDE. So this is a tool
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that transforms how you build with Nova Act by bringing the entire agent development experience
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directly into IDs like Visual Studio Code, Cairo, and Curse. And the Nova Act extension can
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solo its natural language-based script creation, granular scripting precision and robust browser
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testing into a single unified user interface and have to switch between things. Now the Nova Act
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extension is built on top of the Nova Act SDK, which has been available in research previews
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since March of 2025. And this really addresses feedback with receipt from developer saying,
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what are all in one place in the IDE? So how it is. Amazon Q developer CLI, probably the place I
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spend most of my time these days on doing development because that's just a rural. I was just thinking that.
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This is where I bands which are in Cairo and QCLR. And now has support for remote MCP
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servers. So remote MCP servers improves scalability and security of the tools used within your
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development tasks. So it reduces the use of compute resources by moving it to a centralized server.
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And it also helps you manage access and security. So you can integrate with things like Atlassian,
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GitHub, and others that support HachyGP and support OAuth based authentication. So you can plug it
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in and get going. Simon, I think this is the first time I've seen an update where I've really
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only thought about my own self interest. Usually I think about our customer when I get excited
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about interest, but usually with Q developer CLI, I mean, if you talk to anyone at AWS, they're probably
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using it to hack around with their own internal productivity projects. So I'm sure a lot of people
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are going to be using this and just like super pumped for it. So almost become the operating system.
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You really have. Yeah. Sit there and do stuff there. And then when the team adds new stuff,
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I'm like, oh, it now does this now does that. That's right. Pretty cool. Amazon SageMaker HyperPod
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now supports auto scaling using Carpenter. So that means you can automatically scale your clusters
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to meet dynamic inference and training demands. Amazon SageMaker HyperPod also
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announces health monitoring agent support for slim clusters. So if that's the clusters you're
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using, you can use it. It's still my favorite cluster name as well. You've got a love. A cartoon
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reference in the name of a service. I miss the cartoon restaurant. I just heard you talking about cartoons.
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Hey, so Slerm comes from from not the guy that created the Simpsons, then also created a
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follow on one where they're in spice. Futurama. There we go. Whoa. Oh, wow. That one. Yeah.
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Yeah. I love a cartoon reference. So that was a feature Rama. They're drinking slum. And
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someone thought that'd be a good name for a clustering system. And there you go. Slum is open source.
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I like it. Speaking of other things that we like, let's talk about business applications. Amazon
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Connect Flow Designer now supports Analytics Mode. With Amazon Connect flows, you can now create
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Entend Self Service and automated customer experiences such as interactive voice response,
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step-by-step guides, and back office process tasks tasks. So now with this Flow Designer,
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you can view aggregate metrics on how customers move through each step in the flow,
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including where they run into errors or abandon the experience. For example, you can see how
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many conversational AI interactions result in transfers to agent cues or when customers end up
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in the wrong queue because an error in the flow configuration. That's super useful, especially as
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more companies are really thinking about how to integrate these conversational AI agents into
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their conversational workflow. So I think this one's definitely one to bookmark if you're using
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Amazon Connect. Another one from Amazon Connect, you can now use custom attributes with interaction
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segments, ensuring reporting and analytics always reflect the true customer journey.
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Attributes such as business unit name, account type, or a contact reason can be centrally managed.
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Amazon Connect Contact Lens now provides sensitive data reduction from voice and chat conversational
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analytics in seven additional languages. Amazon Connect launches the ability to search contacts
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using agent hierarchy filters. Amazon Connect Cases now supports filtering by date ranges
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in the case list view, enabling contact center managers and agents to officially manage their
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case workloads. Let's talk compute. The adobe's compute optimizer now supports 99 new Amazon
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EC2 instance types. So again, this helps you identify additional savings opportunities across
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your EC2 instances without specialized knowledge or manual analysis. My reminder, if you're not
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checking every three months, your EC2 fleet for opportunities, you're probably missing out. So you
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should take a look at that. It's different to the old world where you bought a server and that was
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your server, not the case anymore. So obviously lots of chance to improve things.
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Speaking of improvement, now generally available Amazon EC2 R8GN instances. These instances are
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powered by Graviton 4 processes. They give you up to 30% better compute performance than Graviton 3.
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And these feature the latest generation, sixth generation, AWS Nitro cards and they give you
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up to 600 gigabits per second network bandwidth. This is the highest network bandwidth amongst network
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optimised EC2 instances. The other ones that are generally available are the R8GB instances and
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these are also available with up to 150 gigabits of EBS bandwidth. So again, more of a disc-based
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approach as well. Amazon EC2 supports detailed performance stats on all NVMe local volumes. I like
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this one. This gives you real-time visibility into the performance of your Nitro system-based
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instance store NVMe models. Volumes, I should say, make it easier to monitor your storage health,
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etc. So you get 11 comprehensive metrics at one second granularity. So you can see what's going
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on including things like Q depth, IO through port, detailed IO latency, histograms. These are
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things that you'll probably used to seeing for EBS. These helps you monitor stuff that's running
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on the machine itself. Amazon EC2 auto scaling now supports forced cancelisation of instance refreshes.
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So this means you can cancel it without waiting for any in-progress instance launches or
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terminations to complete. So against this, about greater control, especially during emergency
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situations where you go rapidly roll forward to new application deployment. So this gives you
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even more control. Amazon EC2's allowed AMI setting adds new parameters and enhanced AMI
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governance. There are now four new parameters. Microplaced codes, deprecation time, creation date,
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and AMI names. So this allows you to define criteria to reduce the risk of launching things that
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aren't compliant in your environment. We're happy to announce Unlimited Network burst duration
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on EC2 i8g and i7i instances. So these and this relates to sizes larger than 4x large. Basically,
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it allows you to burst permanently. So you can burst as much as you want within the limit that you've
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got. So you can deliver up to 100 gig of network performance bandwidth and 60 gig of dedicated
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bandwidth for eBS. So it's a honken great amount of throughput that you can get and you can stop
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bursting as in starts and stops and now just goes. Amazon EVS the elastic of VMware service now
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allows you to securely migrate and stretch your latune networks from your on-premises data center
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to Amazon EVS environments over the public internet. So this adds to the existing capability of doing
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that through private connectivity like AWS Direct Connect or VPNs. Now you can just use elastic
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IP addresses and have a stable endpoint. So this can be really useful if you've got to move fast.
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Maybe your licensing has run out, you need to upgrade, etc. You can move as quickly as you need.
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The Research and Engineering Studio on AWS version 2025.09 is now available. So this gives you
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things like fractional GPUs, simplified AMI management and enhanced deployment flexibility.
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It also includes more regions as well. Basically this is an open source solution that gives a web-based
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portal for administrators to create and manage secure cloud-based research and engineering
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environments. We're happy to announce the availability of second generation AWS outposts
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racks in 52 more countries and no I will not say what those countries are. You can look at
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yourself. And AWS parallel computing service PCS now supports Amazon EC2 capacity blocks for
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machine learning. So this means you can use that natively in your PCS clusters. And this
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makes it easier to get up and running. Let's talk about databases. Amazon RDS for MySQL now supports
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Community MySQL Innovation Release 9.4 in the RDS Preview Environment. Amazon RDS for MySQL
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announces extended support minor 5.7.44. Amazon RDS for Postgres 18 is now available in the
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RDS database preview environment. Amazon RDS for DB2 now offers reserved instances.
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Amazon RDS announces cross region and cross account snapshot copy. This launch allows you to copy
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snapshots across regions and accounts directly without performing it sequentially as two separate copies.
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Customers use cross region and cross account snapshot copies for managing the risk of incidents
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such as ransomware attacks and region outages affecting their production account or primary regions.
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And let's do a quick update in the topic of developer tools. Amazon Correto 25 is now generally
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available now if you don't know what this is. Amazon Correto is a no cost multi-platform production
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ready distribution of open JDK. So if using Java this is a thing you want because it gives you
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support for Linux Windows and Mac OS and this is a long-term support version as well. So it means
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you get on-term support. So this is a good thing for you to use if you live in that world. It's
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always good to stay up to date so version 25 is now available. A few updates in end user computing.
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Amazon AppStream 2.0 is enhancing the end user experience by introducing support for local files
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redirection on multi-session fleets. Amazon AppStream 2.0 announces support for graphics
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G6 instances with fractionalized GPU sizes. 80 years end user messaging now supports cloud
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formation for SMS. Let's do a little update on the internet of things. AWS launches site-wise
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MCP server for simplified modeling. They're available in the adibus labs MCP open source repository.
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This MCP server simplifies industrial data modeling by providing built-in domain validation
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and automated modeling capabilities. Which means you don't need to have extensive API knowledge.
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The service supports existing adibus IoT site-wise functionality through familiar tools while
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adding new conversational interfaces for enhanced user interaction. The year of IPv6 and the
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MCP effication of things. I like it. Next topic we've got is management and governance.
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Adus budgets now supports custom prime periods. And I think this is also a good service announcement
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that if you are not using AWS budgets, it is so simple to set and forget. And if it's one of
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those things where hopefully you don't need to use it, but if you do need to utilize it, you will
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be thankful that you'll be notified that you are close to your budget. Amazon cloud watch now
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supports resource tags when monitoring vended metrics. DevOps engineers and cloud administrators can
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now create dynamic monitoring views that align with their organizational structure using their
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existing adibus resource tags. Amazon cloud watch launches cross account and cross region log
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centralization. This is a good one. I'm really excited about this. This capability seamlessly
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integrates with adibus organizations enabling efficient aggregation of logs from workloads that
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span multiple accounts and regions into a single account without the need to manage custom
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solutions. The log centralization feature provides the ability to scope the centralization rules to
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copy log deed data from their entire organization specific organizational units or selected accounts
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into a single account. So for those of you are thinking, oh my gosh, that could be a ton of logs if
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you're all centralizing them. No, this is a way that you can be strategic of which logs do
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centralize in one place. So you might not necessarily need to retain all of those logs.
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Adibus announces the general availability of new capabilities within AWS billing and cost
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management that enables customers to manage their adibus spend across multiple organizations
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through a single AWS account. Customers can now share custom billing views,
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containing cost management data with other adibus accounts outside their organization.
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Adibus license manager announces support for shared adibus managed active directory
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across multiple accounts, simplifying Microsoft license management on AWS.
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Adibus organizations now provide account state information for member accounts.
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This launch allows you to have a more granular account state information such as suspended for
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adibus in force suspension, pending closure for in process closure requests and closed for accounts
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in their 90 day re-instainment window and more. Adibus organizations now offers full IAM policy
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language support for service control policies enabling you to write service control policies
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with the same flexibility as I am managed policies with this launch service control policies now
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support use of conditions, individual resource arms and the not action element and allow statements.
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Next topic is security identity and compliance. I am identity center now supports customer
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managed KMS keys for encrypting workforce identity data, including user and group attributes.
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Adibus network firewall now offers enhancements to its console, monitoring dashboard and security
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controls. Adibus network firewall enhances the application layer traffic controls.
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These enhancements help customers implement robust security policies without writing complex
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custom rules. So this can be like an effectively inspecting and filtering traffic where key
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information is segmented across a multiple packets. Let's talk about storage. There is a new
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latency injection action in the adibus fault injection service, FIS, for Amazon EBS, this allows you
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to run fault injection experiments. So with this new action, you can introduce IATENC into your
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volumes as part of a control testing experiment. This is pretty cool because you can see what happens
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if my EBS volumes aren't working at the speed that I thought they should work at. So as with
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everything test and you will find out. Amazon EBS increases the maximum size and provision
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performance of a GP3 general purpose of volumes. So we now support higher volume level limits for
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these. So GP3 volumes can ask out to 64 Tbps in size, which is four times the previous 16 Tbps
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limit and up to 80,000 IOPS, which is five times the previous 16,000 limit and up to 2000 Mibi
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bytes of throughput, which is twice the previous limits. That's pretty cool. Like I used to work in
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storage hardware and I can tell you to get that upgrade happening yourself would be a lot of work.
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There is no work here. The pricing model remains unchanged. You pay for the storage plus any
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additional IOPS and throughput provision beyond the baseline performance and there you go. Got a lot
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of that. Amazon EBS 3 batch operations now supports managing buckets or prefixes in a single step
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in the adibus management console. So now you can do lots more in one place if you're a console
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kinder person. And you can now preview Amazon S3 tables in the S3 console as well. So you don't
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have to write a SQL query. You can view the schema. You can sample rows of your tables stored in
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there to better understand and gather key information about your data quickly without any setup.
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Super useful for development. And it's only appropriate that our last item today
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continues the celebration of the year of IPv6 because adibus storage gateway now supports IPv6.
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So this supports your adibus storage gateway in points, APIs and gateway appliance interfaces.
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So you now have both IPv6 and IPv4 to our new dual stack in points. The existing adibus storage
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gateway in points supporting IPv4 will only remain available for backwards compatibility.
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Wow. There was a lot today, Jillian. I feel like a lot of quality of life improvements.
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There were things the MAUs in terms of how you do your day-to-day development. There's a lot of
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management staff there. Security staff there was a lot going on.
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There really was. I mean, it's always hard to pick favorites. But Simon, I'd love to know
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is there one that's set out to you? It's got to be the other attestation one. I just think
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that is I love when super complicated difficult things get done for me and I don't have to pay for
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them. I'm lazy. It's okay. Totally. Where about you?
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There were remote MCP. I mean, I should be requesting one that I know most of my customers would be
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like really excited about. I'm sure they will because everyone loves MCP servers. I think
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nowadays. But this one's totally for selfish reasons. No, that's a viable reason.
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It's a viable reason. How do folks reach out to you if they want to suggest the MCP server they want?
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Oh, please do. I am Jillian Ford on LinkedIn.
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And if you want to go to old school, I'd be best podcasted at Amazon.com is also the
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place to do it. And until next time, keep on building.
Topics Covered
AWS podcast
EC2 instance attestation
trusted software validation
Amazon S3 conditional deletes
AWS Cleanrooms
Amazon Open Search Service
AI-powered forecasting
Amazon Redshift multidimensional data layouts
AWS Step Functions
Stability AI image services
Amazon Bedrock
generative AI
natural language understanding
AWS SDK 2.26.0
Nova Act Extension