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AWS Lambda Managed Instances now supports Rust AWS Lambda Managed Instances now supports Rust, enabling developers to run high-performance Rust-based functions on Lambda-managed Amazon EC2 instances while maintaining Lambda’s operational simplicity. This combination makes it easier than ever to run performance-critical applications without the complexity of managing servers. Lambda Managed Instances gives Lambda developers access to specialized compute configurations, including the latest-generation processors and high-bandwidth networking. Lambda Managed Instances are fully managed EC2 instances, with built-in routing, load-balancing and auto-scaling, with no operational overhead. They combine Lambda’s serverless experience with EC2 pricing advantages including Compute Savings Plans and Reserved Instances. Rust support for Lambda Managed Instances combines these benefits with the performance and efficiency of Rust, including parallel request processing within each execution environment. Together, using Lambda Managed Instances with Rust maximizes utilization and price-performance. Rust support for Lambda Managed Instances is available today in all AWS Regions where Lambda Managed Instances is available. To get started with Rust on Lambda Managed Instances, see the Lambda documentation. To learn more about more about this release, see the release notes.

🆕 AWS Lambda Managed Instances now support Rust, offering high-performance functions with Lambda’s simplicity, specialized compute, and EC2 pricing. Available in all regions. See Lambda docs to start.

#AWS #AwsLambda

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AWS Lambda Managed Instances now supports Rust AWS Lambda Managed Instances now supports Rust, enabling developers to run high-performance Rust-based functions on Lambda-managed Amazon EC2 instances while maintaining Lambda’s operational simplicity. This combination makes it easier than ever to run performance-critical applications without the complexity of managing servers. Lambda Managed Instances gives Lambda developers access to specialized compute configurations, including the latest-generation processors and high-bandwidth networking. Lambda Managed Instances are fully managed EC2 instances, with built-in routing, load-balancing and auto-scaling, with no operational overhead. They combine Lambda’s serverless experience with EC2 pricing advantages including Compute Savings Plans and Reserved Instances. Rust support for Lambda Managed Instances combines these benefits with the performance and efficiency of Rust, including parallel request processing within each execution environment. Together, using Lambda Managed Instances with Rust maximizes utilization and price-performance. Rust support for Lambda Managed Instances is available today in all AWS Regions where Lambda Managed Instances is available. To get started with Rust on Lambda Managed Instances, see the https://docs.aws.amazon.com/lambda/latest/dg/lambda-managed-instances-rust.html. To learn more about more about this release, see the https://github.com/aws/aws-lambda-rust-runtime/releases/tag/lambda_runtime-v1.1.1.

AWS Lambda Managed Instances now supports Rust

AWS Lambda Managed Instances now supports Rust, enabling developers to run high-performance Rust-based functions on Lambda-managed Amazon EC2 instances while maintaining Lambda’s operational simplicity. This combination makes it...

#AWS #AwsLambda

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☁️ #Serverless #PHP in the real world

Carsten Windler shares what teams should know before running PHP with bref.sh on #AWSLambda — from cold starts to architecture trade-offs.

#IntPHPCon |📍BER | 📅 June 8 – 12, 26

▶️ More about the session: https://f.mtr.cool/mtvkmmhgey

#DevOps #Bref

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Accelerate Lambda durable functions development with new Kiro power Today, AWS announces the Lambda durable functions Kiro power, bringing Lambda durable function development expertise to agentic AI development in Kiro. With this power, you can build resilient, long-running multi-step applications and AI workflows faster with AI agent-assisted development directly in your local development environment. When you work with durable functions, the AI agent dynamically loads relevant guidance and development expertise. This includes replay model best practices, step and wait operations, concurrent execution with map and parallel patterns, error handling with retry strategies and compensating transactions, testing patterns, and deployment with AWS CloudFormation, AWS Cloud Development Kit (AWS CDK), and AWS Serverless Application Model (AWS SAM). With this guidance, you can go from idea to a working durable function quickly, whether you are building order processing pipelines, AI agent orchestration with human-in-the-loop approvals, or payment coordination workflows. The Lambda durable functions power is available today with one-click installation from the Kiro IDE and the Kiro powers page. Explore the power on GitHub. To get started with Lambda durable functions, see the developer guide.

🆕 AWS introduces Kiro power for Lambda durable functions, enabling faster development of resilient, long-running applications with AI agent-assisted guidance on best practices, error handling, and deployment tools. Available via one-click in Kiro IDE.

#AWS #AwsLambda

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Accelerate Lambda durable functions development with new Kiro power Today, AWS announces the Lambda durable functions Kiro power, bringing Lambda durable function development expertise to agentic AI development in Kiro. With this power, you can build resilient, long-running multi-step applications and AI workflows faster with AI agent-assisted development directly in your local development environment. When you work with durable functions, the AI agent dynamically loads relevant guidance and development expertise. This includes replay model best practices, step and wait operations, concurrent execution with map and parallel patterns, error handling with retry strategies and compensating transactions, testing patterns, and deployment with AWS CloudFormation, AWS Cloud Development Kit (AWS CDK), and AWS Serverless Application Model (AWS SAM). With this guidance, you can go from idea to a working durable function quickly, whether you are building order processing pipelines, AI agent orchestration with human-in-the-loop approvals, or payment coordination workflows. The Lambda durable functions power is available today with one-click installation from the https://kiro.dev/launch/powers/aws-lambda-durable-functions/ and the https://kiro.dev/powers/. Explore the https://github.com/aws/aws-durable-execution-docs/tree/main/aws-lambda-durable-functions-power. To get started with Lambda durable functions, see the https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html.

Accelerate Lambda durable functions development with new Kiro power

Today, AWS announces the Lambda durable functions Kiro power, bringing Lambda durable function development expertise to agentic AI development in Kiro. With this power, you can build resilient, long-running mu...

#AWS #AwsLambda

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AWS Lambda Durable Execution SDK for Java now available in Developer Preview Today, AWS announces the developer preview of the AWS Lambda Durable Execution SDK for Java. With this SDK, developers can build resilient multi-step applications like order processing pipelines, AI-assisted workflows, and human-in-the-loop approvals using Lambda durable functions, without implementing custom progress tracking or integrating external orchestration services. Lambda durable functions extend Lambda's event-driven programming model with operations that checkpoint progress automatically and pause execution for up to a year when waiting on external events. The new Durable Execution SDK for Java provides an idiomatic experience for building with durable functions and is compatible with Java 17+. This preview includes steps for progress tracking, waits for efficient suspension, and durable futures for callback-based workflows. To get started, see the Lambda durable functions developer guide and the AWS Lambda Durable Execution SDK for Java on GitHub. To learn more about Lambda durable functions, visit the product page. On-demand functions are not billed for duration while paused. For pricing details, see AWS Lambda Pricing. For information about AWS Regions where Lambda durable functions are available, see the AWS Regional Services List.

🆕 AWS releases a Java Lambda Durable Execution SDK preview for resilient multi-step apps, like order pipelines, with automatic checkpoints and pausing up to a year. Java 17+ compatible, no external services required. For more, check the Lambda guide and GitHub.

#AWS #AwsLambda

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AWS Lambda Durable Execution SDK for Java now available in Developer Preview Today, AWS announces the developer preview of the AWS Lambda Durable Execution SDK for Java. With this SDK, developers can build resilient multi-step applications like order processing pipelines, AI-assisted workflows, and human-in-the-loop approvals using Lambda durable functions, without implementing custom progress tracking or integrating external orchestration services. Lambda durable functions extend Lambda's event-driven programming model with operations that checkpoint progress automatically and pause execution for up to a year when waiting on external events. The new Durable Execution SDK for Java provides an idiomatic experience for building with durable functions and is compatible with Java 17+. This preview includes steps for progress tracking, waits for efficient suspension, and durable futures for callback-based workflows. To get started, see the https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html and the https://github.com/aws/aws-durable-execution-sdk-java/. To learn more about Lambda durable functions, visit the https://aws.amazon.com/lambda/lambda-durable-functions/. On-demand functions are not billed for duration while paused. For pricing details, see https://aws.amazon.com/lambda/pricing/. For information about AWS Regions where Lambda durable functions are available, see the https://builder.aws.com/build/capabilities.

AWS Lambda Durable Execution SDK for Java now available in Developer Preview

Today, AWS announces the developer preview of the AWS Lambda Durable Execution SDK for Java. With this SDK, developers can build resilient multi-step applications like order processing pipelines, AI-a...

#AWS #AwsLambda

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Tark Labs routine #89: Firebase added phone verification. Nice move! AWS has it for years 😄 #firebase #aws #awsamplify #awslambda #awscognito #awsdynamodb #appdev #mobiledev #tarklabs #airontark

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AWS Enables Lambda Function Triggers from RDS for SQL Server Database Events In a blog post, AWS recently described an event-driven pattern for Amazon RDS for SQL Server, allowing developers to trigger Lambda functions in response to database events via CloudWatch Logs and SQS...

AWS recently described an event-driven pattern for Amazon RDS for SQL Server, allowing developers to trigger Lambda functions in response to database events via CloudWatch Logs and SQS in a blog post. #amazon #rds #eventdriven #aws #faas #infoq #awslambda #serverless www.infoq.com/news/2026/02...

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Build multi-step applications and AI workflows with AWS Lambda durable functions New Lambda capability lets you build applications that coordinate multiple steps reliably over extended periods—from seconds to up to one year—without paying for idle compute time when waiting for external events or human decisions.

Build multi-step applications and AI workflows with AWS Lambda durable functions

New Lambda capability lets you build applications that coordinate multiple steps reliably over extended periods—from seconds to up to one year—without paying for idle co...

#AWS #AwsLambda #Compute #Launch #News

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AWS re:Invent 2025 changed Lambda, and most teams haven’t caught up.

Akshatha Laxmi breaks down Lambda Managed Instances: EC2-backed execution, fewer cold starts, and better performance for high-throughput workloads.

👉 Watch: antt.me/0jNiTXIv

#AWSLambda #AntStackTV

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From a Lambda-Lith to an Event Driven Architecture – Lessons Learned Leo Hanisch discusses the challenges of the "Lambda-Lith" approach and the benefits of embracing EDAs.

4/5 ➡️ From a Lambda-Lith to an Event Driven Architecture - Lessons Learned by Leo Hanisch
bit.ly/3RchqJJ

#AWSLambda

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Is this code deterministic? I recently posted a small code snippet in a LinkedIn poll and asked what sounded like a simple...

🚀📝 Is this code deterministic?

#deterministic #durableexecution #AWSLambda #idempotent #replaySafe

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AWS Lambda announces cross-account access for DynamoDB Streams AWS Lambda now supports cross-account access for AWS DynamoDB Streams event-source mappings (ESMs), enabling you to trigger Lambda functions in one account from DynamoDB Streams in another account. Customers build event-driven applications using Lambda's fully-managed DynamoDB Streams ESMs, which poll change events from DynamoDB tables and trigger your Lambda functions. Organizations implementing multi-account architectures—whether to centralize event processing or share events with partner teams—previously needed to build complex data replication solutions to share data across accounts, which added operational overhead . With this launch, you can now provide cross-account access to your DynamoDB Streams to trigger Lambda functions in another account. By setting a https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/access-control-resource-based.html on your DynomoDB stream, you can enable a Lambda function in one account to access DynomoDB stream in another account. This capability allows you to simplify your streaming applications across accounts without the overhead of replication solutions in each account. This feature is generally available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/. You can enable cross-account Lambda triggers by creating resource-based policies for your DynamoDB Streams using the AWS Management Console, AWS CLI, AWS SDKs, AWS CloudFormation, or AWS APIs. To learn more, read Lambda ESM https://docs.aws.amazon.com/lambda/latest/dg/services-dynamodb-eventsourcemapping.html#services-dynamodb-eventsourcemapping-cross-accounthttps://docs.aws.amazon.com/lambda/latest/dg/invocation-eventsourcemapping.html#invocation-eventsourcemapping-provisioned-mode 

AWS Lambda announces cross-account access for DynamoDB Streams

AWS Lambda now supports cross-account access for AWS DynamoDB Streams event-source mappings (ESMs),
enabling you to trigger Lambda functions in one account from DynamoDB Streams in another account....

#AWS #AwsLambda #AwsGovcloudUs

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AWS Lambda announces cross-account access for DynamoDB Streams AWS Lambda now supports cross-account access for AWS DynamoDB Streams event-source mappings (ESMs), enabling you to trigger Lambda functions in one account from DynamoDB Streams in another account. Customers build event-driven applications using Lambda's fully-managed DynamoDB Streams ESMs, which poll change events from DynamoDB tables and trigger your Lambda functions. Organizations implementing multi-account architectures—whether to centralize event processing or share events with partner teams—previously needed to build complex data replication solutions to share data across accounts, which added operational overhead . With this launch, you can now provide cross-account access to your DynamoDB Streams to trigger Lambda functions in another account. By setting a resource-based policy on your DynomoDB stream, you can enable a Lambda function in one account to access DynomoDB stream in another account. This capability allows you to simplify your streaming applications across accounts without the overhead of replication solutions in each account. This feature is generally available in all AWS Commercial and AWS GovCloud (US) Regions. You can enable cross-account Lambda triggers by creating resource-based policies for your DynamoDB Streams using the AWS Management Console, AWS CLI, AWS SDKs, AWS CloudFormation, or AWS APIs. To learn more, read Lambda ESM documentation.

🆕 AWS Lambda now supports cross-account access for DynamoDB Streams, enabling Lambda functions in one account to trigger from streams in another, simplifying multi-account event-driven applications without complex replication. Available in all AWS regions.

#AWS #AwsLambda #AwsGovcloudUs

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AWS Lambda adds support for .NET 10 AWS Lambda now supports creating serverless applications using .NET 10. Developers can use .NET 10 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available. .NET 10 is the latest long-term support release of .NET and is expected to be supported for security and bug fixes until November 2028. This release provides Lambda developers with access to the latest .NET features, including file-based apps. It also includes support for https://docs.aws.amazon.com/lambda/latest/dg/lambda-managed-instances.html, enabling you to run Lambda functions on Amazon EC2 instances while maintaining serverless operational simplicity, providing cost efficiency and specialized compute options. https://docs.aws.amazon.com/powertools/dotnet/, a developer toolkit to implement serverless best practices and increase developer velocity, also supports .NET 10. You can use the full range of AWS deployment tools, including the Lambda console, AWS CLI, AWS Serverless Application Model (AWS SAM), AWS CDK, and AWS CloudFormation to deploy and manage serverless applications written in .NET 10. The .NET 10 runtime is available in all Regions, including the AWS GovCloud (US) Regions and China Regions. For more information, including guidance on upgrading existing Lambda functions, see our https://aws.amazon.com/blogs/compute/net-10-runtime-now-available-in-aws-lambda/. For more information about AWS Lambda, visit our https://aws.amazon.com/lambda/.

AWS Lambda adds support for .NET 10

AWS Lambda now supports creating serverless applications using .NET 10. Developers can use .NET 10 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they b...

#AWS #AwsLambda

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AWS Lambda adds support for .NET 10 AWS Lambda now supports creating serverless applications using .NET 10. Developers can use .NET 10 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available. .NET 10 is the latest long-term support release of .NET and is expected to be supported for security and bug fixes until November 2028. This release provides Lambda developers with access to the latest .NET features, including file-based apps. It also includes support for Lambda Managed Instances, enabling you to run Lambda functions on Amazon EC2 instances while maintaining serverless operational simplicity, providing cost efficiency and specialized compute options. Powertools for AWS Lambda (.NET), a developer toolkit to implement serverless best practices and increase developer velocity, also supports .NET 10. You can use the full range of AWS deployment tools, including the Lambda console, AWS CLI, AWS Serverless Application Model (AWS SAM), AWS CDK, and AWS CloudFormation to deploy and manage serverless applications written in .NET 10. The .NET 10 runtime is available in all Regions, including the AWS GovCloud (US) Regions and China Regions. For more information, including guidance on upgrading existing Lambda functions, see our blog post. For more information about AWS Lambda, visit our product page.

🆕 AWS Lambda now supports.NET 10 for serverless apps, offering managed runtime, container base image, and access to latest features. It’s available globally and integrates with AWS deployment tools. For details, see the blog post.

#AWS #AwsLambda

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Breaking the CFML Barrier: Going Serverless on AWS Lambda with BoxLang — by Dan Card <a href="#breaking-the-cfml-barrier-going-serverless-on-aws-lambda-w

📦 AWS Lambda Series – Part 2 by Dan Card

In Part 2, Dan dives deeper into building serverless functions with AWS Lambda, sharing practical tips, patterns, and how Lambda fits into modern cloud workflows.

👉 Read Part 2 here:
www.ortussolutions.com/blog/part-2-...

#AWSLambda #Serverless

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Devs, you’re handling Lambda failures the hard way.

AWS re:Invent 2025 introduced something subtle 👀
Once you see it, your current approach won’t feel right.

Chinmayee N Holla explains 👇
antt.me/AayaKsY0

#AWSLambda #Serverless #DevTalk

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Tark Labs routine #85: Never comment 'schedule: 'every 1m', in your AWS Amplify Gen2 la,bda func. After the trigger is deleted, Amplify will NOT restore it when you uncomment this line. You'll have to jump through hoops to set it up again. #awsdev #awsamplify #awslambda #tarklabs #airontark

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Build multi-step applications and AI workflows with AWS Lambda durable functions New Lambda capability lets you build applications that coordinate multiple steps reliably over extended periods—from seconds to up to one year—without paying for idle compute time when waiting for external events or human decisions.

Build multi-step applications and AI workflows with AWS Lambda durable functions

New Lambda capability lets you build applications that coordinate multiple steps reliably over extended periods—from seconds to up to one year—without paying for idle co...

#AWS #AwsLambda #Compute #Launch #News

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Building Fast Serverless APIs With Minimal APIs on AWS Lambda Learn how to deploy ASP.NET Core Minimal APIs to AWS Lambda with just one library and a single line of code. We'll explore the setup process, measure real-world performance including cold start times, and discuss when serverless makes sense for your APIs.

Explore how to build high-performance serverless APIs using Minimal APIs on AWS Lambda. Enhance your understanding of seamless deployment and scalability. #Serverless #AWSLambda

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AWS Lambda durable functions are now available in 14 additional AWS Regions AWS Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience. Starting today, durable functions are available in 14 additional AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Europe (Milan) Europe (Stockholm), Europe (Spain), Asia Pacific (Sydney), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Malaysia), and Asia Pacific (Thailand). Lambda durable functions extend the Lambda programming model with new primitives in your event handler, such as "steps" and "waits", allowing you to checkpoint progress, automatically recover from failures, and pause execution without incurring compute charges for on-demand functions. With this region expansion, you can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks closer to your users and data, helping you to meet low-latency and data residency requirements while standardizing on a single serverless programming model. You can activate durable functions for new Python (versions 3.13 and 3.14) or Node.js (versions 22 and 24) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS Cloud Formation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK). For more information on durable functions, visit the AWS Lambda Developer Guide. To learn about pricing, visit AWS Lambda pricing. For the latest region availability, visit the AWS Capabilities by Region page.

🆕 AWS Lambda durable functions are now available in 14 new regions, enabling reliable multi-step applications and AI workflows. This expansion allows developers to checkpoint progress, recover from failures, and meet low-latency and data residency needs using Python or Node.js.

#AWS #AwsLambda

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AWS Lambda durable functions are now available in 14 additional AWS Regions AWS Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience. Starting today, durable functions are available in 14 additional AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Europe (Milan) Europe (Stockholm), Europe (Spain), Asia Pacific (Sydney), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Malaysia), and Asia Pacific (Thailand). Lambda durable functions extend the Lambda programming model with new primitives in your event handler, such as "steps" and "waits", allowing you to checkpoint progress, automatically recover from failures, and pause execution without incurring compute charges for on-demand functions. With this region expansion, you can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks closer to your users and data, helping you to meet low-latency and data residency requirements while standardizing on a single serverless programming model. You can activate durable functions for new Python (versions 3.13 and 3.14) or Node.js (versions 22 and 24) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS Cloud Formation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK). For more information on durable functions, visit the https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html. To learn about pricing, visit https://aws.amazon.com/lambda/pricing/. For the latest region availability, visit the AWS Capabilities by Region https://builder.aws.com/build/capabilities.

AWS Lambda durable functions are now available in 14 additional AWS Regions

AWS Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience. Starting today, durable functions are available in 14 a...

#AWS #AwsLambda

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Eric Johnson coined Phlambda, the “fat Lambda” that tried to do everything because splitting it felt like DevOps paperwork.

It starts with good intent. Then scope creeps in. Suddenly, it’s a monolith in serverless clothing.

Origin 👉 antt.me/BXdbJK4l

#Serverless #AWSLambda

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AWS re:Invent 2025 - What's new with AWS Lambda (CNS376)
AWS re:Invent 2025 - What's new with AWS Lambda (CNS376) Discover the latest innovations in AWS Lambda that go beyond traditional event-driven applications. In this lightning talk, we'll showcase the game-changing ...

5/ "AWS re:Invent 2025 - What's new with AWS Lambda (CNS376)"
#awslambda
youtube.com/watch?v=Ce9...

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Serverless Computing Explained: The Future of Effortless Deployment The Dawn of Effortless Computing In the world of cloud technology, there’s a quiet revolution reshaping how developers build and deploy applications. That revolution is called Serverless C...

Serverless Computing Explained: The Future of Effortless Deployment
www.ekascloud.com/our-blog/ser...
#ServerlessComputing #EffortlessDeployment #CloudTechnology #AWSLambda #AzureFunctions #GoogleCloudRun #CloudInnovation #ModernApps #DevOps #Microservices #CloudArchitecture #ScalableTech

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Promotional graphic on a pink-to-orange gradient background: three angled iPhone mockups show pages from the “Crafting Lambda Functions in Rust” e-book (text and diagrams), with bold “new RELEASE!” in the top-left and the title “Crafting Lambda Functions in Rust” in the bottom-right.

Promotional graphic on a pink-to-orange gradient background: three angled iPhone mockups show pages from the “Crafting Lambda Functions in Rust” e-book (text and diagrams), with bold “new RELEASE!” in the top-left and the title “Crafting Lambda Functions in Rust” in the bottom-right.

🗞️ New release alert: Crafting Lambda Functions in Rust 🦀⚡️
A practical, work-in-progress book on writing super-performant AWS Lambda functions in Rust, co-authored with James Eastham.

#RustLang #AWSLambda #Serverless

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The monoliths vs microservices debate misses the real story, Serverless has redefined architecture.

As Eric Johnson notes, we’ve moved from scattered Lambdas to adaptive, intelligent systems.

👉 antt.me/BXdbJK4l

#Serverless #AWSLambda

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AWS launched Durable Functions for Lambda - a new capability that lets des use standard Lambda functions to build complex, multi-step workflows.

They can track progress, automatically retry on failures, and even pause execution for up to 1 year at defined steps.

🔗 bit.ly/3Mpj4bV

#InfoQ #AWSLambda

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