#AWSLambda
Robbie's journey: How one small AWS Lambda experiment at Taco Bell became an enterprise philosophy at Yum! Brands.

An engineer's origin story.
Tune in: antt.me/yK0pJeb5

#Serverless #AWSLambda #CloudEngineering #YumBrands #TacoBell #TechPodcast #DigitalTransformation #AntStack
- YouTube
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antt.me
November 12, 2025 at 1:00 PM
AWS Lambda's auto-scaling sold me on serverless. 💡

No more managing EC2 errors, it just works! Even did it in .NET.

Watch to see what hooked!
Full story → antt.me/BXdbJK4l
Subscribe → antt.me/-PCkoRRa

#Serverless #AWSLambda #Scaling
November 10, 2025 at 2:31 PM
Tark Labs routine #71: My inner child pretends to be an adult solution architect #awslambda #awscdk #awsdev #awsarchitect #awsdockerregistry #tarklabs #airontark
November 10, 2025 at 9:00 AM
"Containers for everything" is a myth.
Our CTO, Prashanth HN, flips the script on modern app building.

Watch his take and subscribe!👇
antt.me/-PCkoRRa

#Serverless #Containers #AWSLambda
October 31, 2025 at 2:31 PM
Tark Labs routine #66: AWS Amplify Gen2 doesn't show any stacktrace in case of CDK code error, even with the --debug flag. That's not good! 😡 #awsamplify #awsdev #awslambda #awscdk #tarklabs #airontark
October 31, 2025 at 8:00 AM
AWS Serverless MCP Server now supports tools for AWS Lambda event source mappings (ESM)

The AWS Serverless Model Context Protocol (MCP) Server now supports specialized tools for https://aws.amazon.com/lambda/ event source mappings (ESM), helping developers configure and manage...

#AWS #AwsLambda
AWS Serverless MCP Server now supports tools for AWS Lambda event source mappings (ESM)
The AWS Serverless Model Context Protocol (MCP) Server now supports specialized tools for https://aws.amazon.com/lambda/ event source mappings (ESM), helping developers configure and manage ESMs more efficiently. These new tools combine the power of AI assistance with Lambda ESM expertise to streamline how developers set up, optimize, and troubleshoot event-driven serverless applications built on Lambda. We previously launched the open-source https://aws.amazon.com/blogs/compute/introducing-aws-serverless-mcp-server-ai-powered-development-for-modern-applications/ to enhance how developers build modern applications with AI-powered contextual guidance for architecture decisions, infrastructure provisioning, deployment automation, and troubleshooting of serverless applications. Starting today, we’re expanding the MCP server’s capabilities with new ESM tools that empower AI assistants, like Amazon Q Developer and Kiro, with proven knowledge of ESM patterns and best practices. The new ESM tools translate high-level throughput, latency, and reliability requirements into specific ESM configurations, generate complete AWS Serverless Application Model (AWS SAM) templates with optimized settings, validate network topology for Amazon Virtual Private Cloud (VPC)-based event sources, and diagnose common ESM issues. Thus, these tools enhance the event-driven application development experience, guiding developers through the entire ESM lifecycle, from initial setup to optimization and troubleshooting. The key new ESM tools being added to the Serverless MCP Server are: the ESM guidance tool for contextual guidance across all supported event sources, the ESM optimization tool for analyzing configuration tradeoffs, and the ESM Kafka troubleshooting tool for specialized diagnostics with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Apache Kafka clusters. To learn more about the Serverless MCP Server and how it can transform your AI-assisted application development, visit the https://aws.amazon.com/blogs/compute/introducing-aws-lambda-event-source-mapping-tools-in-the-aws-serverless-mcp-server/ and https://awslabs.github.io/mcp/servers/aws-serverless-mcp-server/. To download and try out the open-source MCP server with your AI-enabled IDE of choice, visit the https://github.com/awslabs/mcp/tree/main/src/aws-serverless-mcp-server.
aws.amazon.com
October 30, 2025 at 7:05 PM
🆕 AWS Serverless MCP Server now supports tools for AWS Lambda event source mappings, enhancing setup, optimization, and troubleshooting with AI-driven guidance, optimization, and Kafka troubleshooting tools.

#AWS #AwsLambda
AWS Serverless MCP Server now supports tools for AWS Lambda event source mappings (ESM)
The AWS Serverless Model Context Protocol (MCP) Server now supports specialized tools for AWS Lambda event source mappings (ESM), helping developers configure and manage ESMs more efficiently. These new tools combine the power of AI assistance with Lambda ESM expertise to streamline how developers set up, optimize, and troubleshoot event-driven serverless applications built on Lambda. We previously launched the open-source Serverless MCP Server to enhance how developers build modern applications with AI-powered contextual guidance for architecture decisions, infrastructure provisioning, deployment automation, and troubleshooting of serverless applications. Starting today, we’re expanding the MCP server’s capabilities with new ESM tools that empower AI assistants, like Amazon Q Developer and Kiro, with proven knowledge of ESM patterns and best practices. The new ESM tools translate high-level throughput, latency, and reliability requirements into specific ESM configurations, generate complete AWS Serverless Application Model (AWS SAM) templates with optimized settings, validate network topology for Amazon Virtual Private Cloud (VPC)-based event sources, and diagnose common ESM issues. Thus, these tools enhance the event-driven application development experience, guiding developers through the entire ESM lifecycle, from initial setup to optimization and troubleshooting. The key new ESM tools being added to the Serverless MCP Server are: the ESM guidance tool for contextual guidance across all supported event sources, the ESM optimization tool for analyzing configuration tradeoffs, and the ESM Kafka troubleshooting tool for specialized diagnostics with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Apache Kafka clusters. To learn more about the Serverless MCP Server and how it can transform your AI-assisted application development, visit the launch blog post and documentation. To download and try out the open-source MCP server with your AI-enabled IDE of choice, visit the GitHub repository.
aws.amazon.com
October 30, 2025 at 6:41 PM
The moment that changed it all.

Eric Johnson shares how one look at #AWSLambda made everything about compute click.
Watch the reel to hear what sparked the shift.

Full story → antt.me/BXdbJK4l
Subscribe → antt.me/-PCkoRRa

#ModernDevelopment #AntStack
October 29, 2025 at 1:02 PM
Tark Labs routine #65: Fixing AWS Lambda function errors one-by-one. No one will escape! 😎 #tarklabs #awsdev #awslambda #awsamplify #awslambda #airontark
October 29, 2025 at 8:01 AM
Explore integration testing in .NET using Aspire for seamless local and test environments setup. Leverage AWS SQS and Lambda for efficient workflows. #IntegrationTesting #AWSLambda
dev.to
October 25, 2025 at 6:15 PM
AWS Lambda increases maximum payload size from 256 KB to 1 MB for asynchronous invocations

AWS Lambda increases asynchronous invocations maximum payload size from 256 KB to 1 MB, allowing customers to ingest richer, complex payloads for their event-driven worklo...

#AWS #AwsGovcloudUs #AwsLambda
AWS Lambda increases maximum payload size from 256 KB to 1 MB for asynchronous invocations
AWS Lambda increases asynchronous invocations maximum payload size from 256 KB to 1 MB, allowing customers to ingest richer, complex payloads for their event-driven workloads without the need to split, compress, or externalize data. Customers invoke their Lambda functions asynchronously using either Lambda API directly, or by receiving push-based events from various AWS services like Amazon S3, Amazon CloudWatch, Amazon SNS, Amazon EventBridge, AWS Step Functions. Modern cloud applications increasingly rely on AWS Lambda’s asynchronous invocations and its integration with various AWS serverless services to build scalable, event-driven architectures. These applications often need to process rich contextual data, including large-language model prompts, telemetry signals, and complex JSON structures for machine learning outputs. With increase in maximum payload size to 1MB for asynchronous invocations, developers can streamline their architectures by including comprehensive data, from detailed user profiles to complete transaction histories, in a single event, eliminating the need for complex data chunking or external storage solutions. This feature is generally available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/. Customers can start sending asynchronous invocation payloads up to 1 MB using Lambda’s invoke API. Customers are charged for 1 request per each asynchronous invocation for first 256 KB. Individual payload size beyond 256 KB is charged 1 additional request for each 64 KB of chunk up to 1 MB. To learn more, read Lambda asynchronous invocation https://docs.aws.amazon.com/lambda/latest/dg/invocation-async.html and AWS Lambda https://aws.amazon.com/lambda/pricing/. 
aws.amazon.com
October 24, 2025 at 11:05 PM
🆕 AWS Lambda raises async payload size to 1 MB, enabling richer data for event-driven workloads without splitting or compressing. Available in all regions, it simplifies data handling for scalable architectures. Charges apply for payloads over 256 KB.

#AWS #AwsGovcloudUs #AwsLambda
AWS Lambda increases maximum payload size from 256 KB to 1 MB for asynchronous invocations
AWS Lambda increases asynchronous invocations maximum payload size from 256 KB to 1 MB, allowing customers to ingest richer, complex payloads for their event-driven workloads without the need to split, compress, or externalize data. Customers invoke their Lambda functions asynchronously using either Lambda API directly, or by receiving push-based events from various AWS services like Amazon S3, Amazon CloudWatch, Amazon SNS, Amazon EventBridge, AWS Step Functions. Modern cloud applications increasingly rely on AWS Lambda’s asynchronous invocations and its integration with various AWS serverless services to build scalable, event-driven architectures. These applications often need to process rich contextual data, including large-language model prompts, telemetry signals, and complex JSON structures for machine learning outputs. With increase in maximum payload size to 1MB for asynchronous invocations, developers can streamline their architectures by including comprehensive data, from detailed user profiles to complete transaction histories, in a single event, eliminating the need for complex data chunking or external storage solutions. This feature is generally available in all AWS Commercial and AWS GovCloud (US) Regions. Customers can start sending asynchronous invocation payloads up to 1 MB using Lambda’s invoke API. Customers are charged for 1 request per each asynchronous invocation for first 256 KB. Individual payload size beyond 256 KB is charged 1 additional request for each 64 KB of chunk up to 1 MB. To learn more, read Lambda asynchronous invocation documentation and AWS Lambda pricing.
aws.amazon.com
October 24, 2025 at 10:40 PM
One Engineer. One Deadline.

Serverless changed everything at Yum! Brands.

Watch Robbie Kohler's story on AntStack TV.

Watch now! 👉 antt.me/yK0pJeb5

#Serverless #AWSLambda #QSRTech #AntStack
- YouTube
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
antt.me
October 15, 2025 at 3:06 PM
✍️ New blog post by GargeeBhatnagar

Explore Code Security Feature as GitLab and GitHub Source Connect in Amazon Inspector

#amazonec2 #awslambda #amazoninspector #aws
Explore Code Security Feature as GitLab and GitHub Source Connect in Amazon Inspector
“ I have checked the documents of AWS to explore code security feature as gitlab and github source...
dev.to
October 14, 2025 at 9:19 PM
Ship ML fast ⇒ deploy to 【AWS Lambda】 with a lean pipeline · zip, deps, and cold-start tactics ✅ ready to go stateless? https://glcnd.io/deploying-machine-learning-models-using-aws-lambda-a-step-by-step-guide/ #awslambda #ml #python
Deploying Machine Learning Models using AWS Lambda: A Step-by-Step Guide - GLCND.IO
glcnd.io
October 6, 2025 at 8:57 AM
Tark Labs routine #58: Creating a new app in AWS Amplify Gen2 feels as cool as the 20th Century Fox intro #awsamplifygen2 #awslambda #awsdev #techforbusiness #tarklabs #airontark
October 1, 2025 at 7:02 AM
Serverless in healthcare? AWS Lambda crushes data silos, boosts patient interactions, & ensures HIPAA compliance—up to 92% cost savings! Use IAM for secure access controls. Real-world win for #HealthTech. Who's building this? #AWSServerless #AWSLambda"909f56
September 30, 2025 at 8:01 AM
📺New on AntStack TV!

From Lambda → GENAI with Eric Johnson (AWS) & Robbie Kohler (Yum! Brands), hosted by Jeevan & Prashanth.

𝗪𝗮𝘁𝗰𝗵 𝗻𝗼𝘄 👉 antt.me/BXdbJK4l

#Serverless #AWSLambda #AWS #Engineering #AI #TechPodcast #CloudComputing #AntStackTV #GenAI
- YouTube
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
antt.me
September 29, 2025 at 1:22 PM
Modernizing healthcare starts with serverless

See 5 powerful ways AWS Lambda is improving patient interactions, ensuring HIPAA compliance, crushing data silos, and driving up to 92% cost savings.

Read here 👉 antt.me/pJiUJNji

#AWSLambda #HealthTech #Serverless #AntStack
5 Use cases of AWS Lambda in Healthcare | Build AI-Powered Software Agents with AntStack | Scalable, Intelligent, Reliable
Uncover how AWS Lambda benefits healthcare by boosting patient care, streamlining interactions, protecting data, integrating systems, and cutting costs by 92%.
www.antstack.com
September 25, 2025 at 6:00 AM
Announcing AWS Lambda Support for Code Signing in GovCloud Regions

AWS Lambda now offers Code Signing in GovCloud Regions (AWS GovCloud (US-West) and AWS GovCloud (US-East)), which allows administrators to ensure that only trusted and verified code is deployed t...

#AWS #AwsGovcloudUs #AwsLambda
Announcing AWS Lambda Support for Code Signing in GovCloud Regions
AWS Lambda now offers Code Signing in GovCloud Regions (AWS GovCloud (US-West) and AWS GovCloud (US-East)), which allows administrators to ensure that only trusted and verified code is deployed to Lambda functions. This feature uses AWS Signer, a managed code signing service. When code is deployed, Lambda checks the signatures to confirm the code hasn't been altered and is signed by trusted developers. Administrators can create Signing Profiles in AWS Signer and use AWS Identity and Access Management (IAM) to manage user access. Within Lambda, they can specify allowed signing profiles for each function and configure whether to warn or reject deployments if signature checks fail. There is no extra charge for using this feature. For more details, you can refer to https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/, https://aws.amazon.com/blogs/aws/new-code-signing-a-trust-and-integrity-control-for-aws-lambda/, https://aws.amazon.com/blogs/aws/new-code-signing-a-trust-and-integrity-control-for-aws-lambda/, or https://docs.aws.amazon.com/signer/latest/developerguide/lambda-workflow.html.
aws.amazon.com
September 24, 2025 at 11:05 PM
🆕 AWS Lambda now supports Code Signing in GovCloud regions to ensure only trusted code is deployed via AWS Signer, with no extra charge. Admins can create signing profiles and manage access via IAM.

#AWS #AwsGovcloudUs #AwsLambda
Announcing AWS Lambda Support for Code Signing in GovCloud Regions
AWS Lambda now offers Code Signing in GovCloud Regions (AWS GovCloud (US-West) and AWS GovCloud (US-East)), which allows administrators to ensure that only trusted and verified code is deployed to Lambda functions. This feature uses AWS Signer, a managed code signing service. When code is deployed, Lambda checks the signatures to confirm the code hasn't been altered and is signed by trusted developers. Administrators can create Signing Profiles in AWS Signer and use AWS Identity and Access Management (IAM) to manage user access. Within Lambda, they can specify allowed signing profiles for each function and configure whether to warn or reject deployments if signature checks fail. There is no extra charge for using this feature. For more details, you can refer to the AWS Region table, the AWS blog, the Lambda developer guide, or the Signer developer guide.
aws.amazon.com
September 24, 2025 at 10:40 PM
Ready to build your next #serverless API in Swift?
🍃#Breeze is here to make it easier than ever!

The latest release 1.0.0-rc.1, now includes support for Swift 6.2.0.
👉🏻 github.com/swift-server...

#SwiftLang #AWSLambda #OpenSource #Swift
GitHub - swift-serverless/Breeze: A Serverless API Template Generator for Server-Side Swift
A Serverless API Template Generator for Server-Side Swift - swift-serverless/Breeze
github.com
September 24, 2025 at 8:41 PM