# AWS Lambda Published articles for AWS Lambda. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation DevFeed: [Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation]() Original publisher: [Read original article]() Author: Samantha Stuart Published: 2026-09-16T15:17:37Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [pii](), [Serverless](), [AWS Lambda](), [AWS Step Functions](), [Artificial Intelligence](), [Amazon Web Services](), [Ansible]() Tags: [advanced-300](), [amazon-bedrock](), [amazon-bedrock-data-automation](), [aws](), [aws-lambda](), [aws-step-functions](), [how-to](), [pii-redaction](), [pipeline](), [precision](), [serverless](), [technical-how-to]() ### AI overview This tutorial presents a serverless AWS pipeline for detecting and redacting personally identifiable information in scanned documents and images. It uses Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda, with a token-matching quality check to improve recall on degraded and handwritten documents. ### Source excerpt Learn how to automate end-to-end PII detection and redaction from scanned documents at scale using Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda. A custom blueprint redacts sensitive fields with field-level precision, and a token matching quality check raises recall across degraded and handwritten documents. ## AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026) DevFeed: [AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026)]() Original publisher: [Read original article]() Author: Micah Walter Published: 2026-09-14T15:56:33Z Content type: news Language: en Sources: [AWS News Blog]() Topics: [Amazon Bedrock](), [Frontier Model](), [OpenAI](), [context window](), [browser](), [ChatGPT](), [codex](), [macOS](), [Windows](), [Mobile]() Tags: [agents](), [ai](), [ai-agents](), [amazon](), [amazon-bedrock](), [amazon-elastic-block-store-amazon-ebs](), [amazon-opensearch-service](), [amazon-quick-suite](), [aws](), [aws-lambda](), [aws-outposts](), [aws-transform](), [bedrock](), [browser](), [chatgpt](), [codex](), [context-window](), [frontier-model](), [google-play](), [gpt](), [kiro](), [launch](), [macos](), [mobile](), [openai](), [week-in-review](), [windows]() ### AI overview This AWS Weekly Roundup highlights the general availability of OpenAI GPT-6 Astra on Amazon Bedrock, describing its reasoning, writing, design, computer-use, browser-use, and million-token context-window capabilities. It also covers the Amazon Quick desktop app for macOS and Windows, including synchronized conversations and agents across desktop and mobile, plus other AWS launches and updates. ### Source excerpt There's a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it's nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon [...] ## Lambda SnapStart Comes to Container Images, Ending a Packaging Tradeoff DevFeed: [Lambda SnapStart Comes to Container Images, Ending a Packaging Tradeoff]() Original publisher: [Read original article]() Author: Steef-Jan Wiggers Published: 2026-09-12T10:09:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Deployment](), [NumPy]() Tags: [announcement](), [architecture](), [architecture-design](), [aws](), [aws-lambda](), [cloud](), [containers](), [development](), [devops](), [lambda-snapstart-container-image](), [news](), [performance](), [python](), [serverless](), [startup]() ### AI overview AWS has extended Lambda SnapStart to container-image functions, allowing teams to combine larger dependency packages with sub-second startup times. The change removes a packaging tradeoff previously faced by workloads such as pandas- and NumPy-based Lambda functions. ### Source excerpt AWS has extended Lambda SnapStart to container image functions, which hold up to 10 GB against 250 MB for zip archives. Teams previously chose between dependency headroom and sub-second startup. A Reddit thread from a month earlier shows what that cost: stripping whitespace and docstrings from installed packages to stay under the limit. By Steef-Jan Wiggers ## Run DuckDB analytics on your Amazon DynamoDB data with zero-ETL DevFeed: [Run DuckDB analytics on your Amazon DynamoDB data with zero-ETL]() Original publisher: [Read original article]() Author: Lee Hannigan Published: 2026-09-11T14:53:57Z Content type: tutorial Language: en Sources: [AWS Database Blog]() Topics: [Databases](), [Amazon S3](), [Apache Iceberg](), [AWS Lambda](), [AWS IAM](), [Latency]() Tags: [advanced-300](), [amazon-dynamodb](), [amazon-s3-tables](), [analytics](), [apache-iceberg](), [aws-lambda](), [duckdb](), [how-to](), [iam](), [integration](), [sql](), [technical-how-to]() ### AI overview This tutorial explains how to run ad hoc SQL analytics on Amazon DynamoDB data with DuckDB through a zero-ETL replication flow. ### Source excerpt Run ad hoc SQL analytics on your Amazon DynamoDB data with DuckDB. A zero-ETL integration replicates your table into Apache Iceberg tables on Amazon S3 Tables, and an AWS Lambda function running DuckDB serves SQL queries through an IAM-authorized function URL. ## How AWS Lambda logs every flow across thousands of microVMs per host with eBPF and Rust DevFeed: [How AWS Lambda logs every flow across thousands of microVMs per host with eBPF and Rust]() Original publisher: [Read original article]() Author: Prashant Kumar Singh Published: 2026-09-11T12:00:00Z Content type: article Language: en Sources: [The New Stack]() Topics: [AWS Lambda](), [Architecture & Design](), [SIEM, Security, Observability](), [telemetry](), [Amazon EC2](), [Amazon S3](), [VPC]() Tags: [architecture](), [aws](), [aws-lambda](), [aws-marketplace](), [compliance](), [ebpf](), [firecracker](), [incident](), [incident-response](), [logs](), [monitoring](), [observability](), [post-contributed](), [rust](), [s3](), [scale](), [security](), [server](), [serverless](), [sponsor-aws-marketplace](), [sponsored-post-contributed](), [vpc]() ### AI overview AWS Lambda describes replacing an aging network-capture system with an eBPF and Rust pipeline that records network flows across short-lived, tenant-isolated microVMs. The system prioritizes complete, correctly attributed records with minimal overhead for security investigation, metering, audit, observability, and monitoring. ### Source excerpt On any compute platform, when a security alert fires, the question is always the same. Which workload talked to that The post How AWS Lambda logs every flow across thousands of microVMs per host with eBPF and Rust appeared first on The New Stack. ## Announcing 90-minute function timeout on AWS Lambda Managed Instances DevFeed: [Announcing 90-minute function timeout on AWS Lambda Managed Instances]() Original publisher: [Read original article]() Author: Tarun Rai Madan Published: 2026-09-09T19:08:14Z Content type: release Language: en Sources: [AWS Compute Blog]() Topics: [data-processing](), [Transcodings](), [Amazon EC2]() Tags: [ai-inference](), [announcements](), [aws](), [aws-lambda](), [batch](), [data-processing](), [event](), [event-driven](), [foundational-100](), [serverless]() ### AI overview AWS Lambda Managed Instances now support a 90-minute timeout for asynchronous and event source mapping invocations, increasing the previous 15-minute limit by six times. The update targets longer-running data processing, media transcoding, AI inference, and batch workloads. ### Source excerpt AWS Lambda now supports a 90-minute function timeout for asynchronous and event source mapping (ESM) invocations on Lambda Managed Instances, a 6x increase from the previous 15-minute limit. Data processing, media transcoding, AI inference, and batch workloads can now run on Lambda without re-architecting. ## Automate user-level custom permissions for Amazon Quick DevFeed: [Automate user-level custom permissions for Amazon Quick]() Original publisher: [Read original article]() Author: Ashok Dasineni Published: 2026-09-09T15:45:24Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Authorization](), [AWS Lambda](), [IAM Identity Center](), [Script]() Tags: [amazon-eventbridge](), [amazon-quick-suite](), [api](), [automation](), [aws-iam-identity-center](), [aws-lambda](), [batch](), [cli](), [intermediate-200](), [python](), [technical-how-to]() ### AI overview This tutorial presents four ways to automate user-level custom permissions in Amazon Quick: setting permissions during user registration, applying account or role defaults, using EventBridge and Lambda for group-based logic, and running retroactive batch updates. ### Source excerpt Amazon Quick custom permissions let you enforce least-privilege access by toggling features per user. This post walks through four patterns to automate custom permissions across the user lifecycle: a RegisterUser API parameter, account and role defaults, event-driven Amazon EventBridge and AWS Lambda automation, and a retroactive batch update script. ## From dedicated Workers to Serverless Workers: Migrating Temporal Workflows to AWS Lambda DevFeed: [From dedicated Workers to Serverless Workers: Migrating Temporal Workflows to AWS Lambda]() Original publisher: [Read original article]() Author: Garima Gupta Published: 2026-09-09T00:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [AWS Lambda](), [Serverless](), [Amazon Web Services](), [Deployment](), [Testing](), [SDKs]() Tags: [aws](), [aws-lambda](), [deployment](), [go](), [java](), [kubernetes](), [net](), [python](), [serverless](), [temporal](), [temporal-voices](), [testing](), [typescript](), [versioning]() ### AI overview This guide explains how to migrate Temporal Workers from long-lived processes on Kubernetes to Temporal Cloud Serverless Workers running on AWS Lambda. It focuses on AWS Lambda with Python examples and covers lifecycle changes, invocation scaling, deployment, versioning, and testing. ### Source excerpt Learn to migrate Temporal Workers from dedicated infrastructure to AWS Lambda with Serverless Workers, with guidance on deployment, versioning, and testing. ## AWS Weekly Roundup: Claude Fable 5.1 on AWS, Amazon Linux 2027 preview, AWS Certified AI Business Strategist, and more (September 7, 2026) DevFeed: [AWS Weekly Roundup: Claude Fable 5.1 on AWS, Amazon Linux 2027 preview, AWS Certified AI Business Strategist, and more (September 7, 2026)]() Original publisher: [Read original article]() Author: Channy Yun (윤석찬) Published: 2026-09-07T14:24:08Z Content type: news Language: en Sources: [AWS News Blog]() Topics: [Claude](), [Amazon Bedrock](), [anthropic](), [Amazon EC2](), [Operating system]() Tags: [amazon-bedrock](), [amazon-ec2](), [amazon-redshift](), [anthropic](), [aws](), [aws-lambda](), [aws-training-and-certification](), [claude](), [linux](), [news](), [security-identity-compliance](), [week-in-review]() ### AI overview AWS's weekly roundup announces Claude Fable 5.1 availability through Amazon Bedrock and Claude Platform on AWS, including retention and safety-review details for Covered Models. It also highlights the Amazon Linux 2027 public preview and EC2 R9g/R9gd memory-optimized instances. ### Source excerpt Last week, Claude Fable 5.1 became available on AWS. According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Claude Fable 5.1 is built for long-running, high-stakes work that runs for hours and spans many applications. It can own more of a software project on its [...] ## Hybrid cloud orchestration: Modernizing on-premises infrastructure management with AWS DevFeed: [Hybrid cloud orchestration: Modernizing on-premises infrastructure management with AWS]() Original publisher: [Read original article]() Author: Sandeep Singh Published: 2026-09-01T14:01:10Z Content type: tutorial Language: en Sources: [AWS Architecture Blog]() Topics: [Orchestration](), [Kubernetes](), [Amazon EKS](), [AWS Lambda](), [Server](), [Hardware]() Tags: [amazon-dynamodb](), [amazon-eks](), [aws](), [aws-lambda](), [aws-step-functions](), [data-centers](), [deployment](), [event-driven](), [hardware](), [kubernetes](), [observability](), [orchestration](), [server](), [serverless](), [thought-leadership]() ### AI overview Tutorial on designing an AWS-based hybrid cloud orchestration system for centralized lifecycle management of distributed on-premises servers and EKS Anywhere clusters. ### Source excerpt Learn how to build a hybrid cloud orchestration solution that manages distributed on-premises infrastructure at scale using AWS serverless technologies and Amazon EKS Anywhere. Part 1 covers the core event-driven architecture patterns for automating server lifecycle and cluster management across hundreds of sites. ## Developing provably correct Rust code with Verus DevFeed: [Developing provably correct Rust code with Verus]() Original publisher: [Read original article]() Author: Bryan Parno Published: 2026-08-31T15:35:33Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [Rust formal verification](), [Vulnerabilities]() Tags: [amazon-elastic-compute](), [automated-reasoning](), [aws-lambda](), [code](), [firecracker](), [formal-methods](), [formal-verification](), [open-source](), [rust](), [security](), [testing]() ### AI overview The article explains how Verus formally verifies Rust code against mathematical specifications, helping establish correctness beyond what Rust safety checks and conventional tests provide. ### Source excerpt How the Verus "program verifier", which automatically checks code against a mathematical specification of its functionality, helps increase security assurance in software projects. ## AWS Weekly Roundup: Welcome DuckLabs to the team, Agentic Resource Discovery (ARD), and more (August 31, 2026) DevFeed: [AWS Weekly Roundup: Welcome DuckLabs to the team, Agentic Resource Discovery (ARD), and more (August 31, 2026)]() Original publisher: [Read original article]() Author: Daniel Abib Published: 2026-08-31T14:45:25Z Content type: news Language: en Sources: [AWS News Blog]() Topics: [data](), [Amazon S3](), [Amazon Redshift](), [Node.js]() Tags: [acquisition](), [amazon-ec2](), [amazon-elastic-container-service](), [amazon-gamelift](), [amazon-redshift](), [amazon-s3](), [amazon-sagemaker](), [amazon-sagemaker-ai](), [analytics](), [announcements](), [aws](), [aws-fargate](), [aws-glue](), [aws-iot-core](), [aws-lambda](), [database](), [duckdb](), [json](), [news](), [node-js](), [open-source](), [parquet](), [python](), [sql](), [week-in-review]() ### AI overview AWS weekly roundup covering the planned acquisition of DuckLabs, the company behind DuckDB, alongside Amazon ECS recovery updates and AWS Lambda preview runtimes for Node.js 26 and Python 3.15. ### Source excerpt The news that interested me the most last week was the DuckLabs acquisition. AWS has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind DuckDB, the popular open source analytical database that runs in-process and executes SQL directly against files like Parquet, CSV, and JSON. DuckDB stays open source under its independent foundation [...] ## Durable Digest: August highlights DevFeed: [Durable Digest: August highlights]() Original publisher: [Read original article]() Author: Temporal Technologies Published: 2026-08-27T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Cloud](), [AI Development](), [AWS Lambda](), [Workers](), [autoscaling](), [Amazon Web Services](), [AI Agent](), [AWS IAM](), [SDKs]() Tags: [ai](), [ai-agent](), [announcements](), [autoscaling](), [aws](), [aws-lambda](), [cloud](), [distributed](), [durability](), [genai](), [google](), [iam](), [infrastructure](), [workers]() ### AI overview Temporal's August 2026 Durable Digest highlights new and preview features for running Workers on AWS Lambda, organizing Temporal Cloud resources, invoking Nexus Operations, and building durable AI applications. ### Source excerpt Highlights this month include new ways to run Workers without managing infrastructure, organize Temporal Cloud resources and build more durable AI applications. ## Build a unified AI agent architecture with DynamoDB and Bedrock DevFeed: [Build a unified AI agent architecture with DynamoDB and Bedrock]() Original publisher: [Read original article]() Author: Dhananjay Karanjkar Published: 2026-08-21T18:19:23Z Content type: tutorial Language: en Sources: [AWS Architecture Blog]() Topics: [AI Bots]() Tags: [advanced-300](), [agent](), [agents](), [ai](), [ai-agent](), [amazon-bedrock](), [amazon-dynamodb](), [amazon-opensearch-service](), [ann](), [api](), [architecture](), [aws-lambda](), [data-architecture](), [database](), [embeddings](), [how-to](), [retrieval](), [search](), [streams](), [sync](), [vector]() ### AI overview A tutorial for building an Amazon Bedrock agent that uses one DynamoDB table for structured data and semantic vector search. DynamoDB Streams generates embeddings when content changes, keeping the vector index synchronized. ### Source excerpt With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table. This post shows how to build a unified AI agent architecture where an Amazon Bedrock agent uses one DynamoDB table for both structured lookups and semantic search, with a DynamoDB Streams pipeline that keeps embeddings in sync. ## How Temporal Adds Durability to AWS Agentic AI Workloads DevFeed: [How Temporal Adds Durability to AWS Agentic AI Workloads]() Original publisher: [Read original article]() Author: Rahman Syed Published: 2026-08-20T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Amazon Web Services](), [Artificial Intelligence](), [Agent Framework](), [Amazon Bedrock](), [Strands Agents](), [AWS Lambda]() Tags: [agent-framework](), [agentic](), [ai](), [amazon-bedrock](), [aws](), [aws-lambda](), [cloud](), [iam](), [temporal-voices]() ### AI overview This developer article explains how Temporal adds a durability layer to AWS-based agentic AI systems. It presents a loan-underwriting example and describes using Amazon Bedrock, Strands Agents, and AWS Lambda to build recoverable, scalable workloads. ### Source excerpt AWS gives developers the best-in-class tools for building agentic AI -- models, an agent framework, and compute to run it all on. As those systems grow more complex with more tools, more agents, and longer-running steps that wait on human-intervention, keeping the whole thing consistent and recoverable becomes its own design challenge. This is the layer Temporal adds. ## Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway DevFeed: [Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway]() Original publisher: [Read original article]() Author: Nishant Mainro Published: 2026-08-18T20:46:26Z Content type: tutorial Language: en Sources: [AWS Security Blog]() Topics: [Amazon Bedrock AgentCore](), [Amazon Bedrock](), [AI Agent](), [Security](), [IAM](), [Model Context Protocol](), [OAuth 2.0](), [Architecture & Design](), [JSON Web Tokens]() Tags: [advanced-300](), [ai-agents](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [artificial-intelligence](), [aws-identity-and-access-management-iam](), [aws-lambda](), [model-context-protocol](), [oauth](), [prompt-injection](), [secrets](), [security](), [security-blog](), [security-identity-compliance](), [technical-how-to]() ### AI overview This tutorial explains how to use a request Lambda interceptor in Amazon Bedrock AgentCore Gateway to support legacy Basic Authentication for downstream tool APIs. The interceptor retrieves service credentials from AWS Secrets Manager and constructs the authentication header while keeping credentials isolated from the AI agent. The article also describes the inbound MCP request flow and cautions that Basic Auth should be treated as an interim measure, with modernization toward OAuth 2.0, SAML, OpenID Connect, or IAM recommended. ### Source excerpt When deploying AI agents with Amazon Bedrock AgentCore, organizations benefit from built-in modern support for OAuth 2.0, AWS Identity and Access Management (IAM), and API key authentication through Amazon Bedrock AgentCore Gateway. However, some enterprise environments still use legacy authentication mechanisms such as HTTP Basic Authentication (Basic Auth) (RFC 7617). The extensible architecture of AgentCore [...] ## Trace AWS Lambda durable functions with Datadog DevFeed: [Trace AWS Lambda durable functions with Datadog]() Original publisher: [Read original article]() Author: Joey Zhao; Yiming Luo; Pablo Martinez Bernardo; Ethan Gracer Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [telemetry](), [Node.js](), [SDKs]() Tags: [apm](), [aws](), [aws-lambda](), [instrumentation](), [node-js](), [observability](), [python](), [serverless-monitoring](), [telemetry](), [traces](), [tracing](), [workflow]() ### AI overview Datadog instruments AWS Lambda durable executions to connect telemetry from multiple Lambda invocations into one trace, helping developers investigate workflow operations, retries, waits, and failures. ### Source excerpt Trace AWS Lambda durable executions across invocations to investigate operations, retries, failures, waits, and function status in Datadog. ## Introducing public preview runtimes on AWS Lambda, starting with Node.js 26 and Python 3.15 DevFeed: [Introducing public preview runtimes on AWS Lambda, starting with Node.js 26 and Python 3.15]() Original publisher: [Read original article]() Author: Jonathan Tuliani Published: 2026-08-15T14:09:35Z Content type: news Language: en Sources: [AWS Compute Blog]() Topics: [AWS Lambda](), [Node.js](), [Python](), [Amazon Web Services]() Tags: [announcements](), [availability](), [aws](), [aws-lambda](), [benchmarking](), [china](), [foundational-100](), [govcloud](), [infrastructure-as-code](), [node-js](), [python](), [release]() ### AI overview AWS Lambda introduces public preview runtimes for Node.js 26 and Python 3.15, allowing developers to test upcoming language versions before general availability and provide feedback while breaking changes remain possible. ### Source excerpt AWS Lambda introduces public preview runtimes, a new way to try upcoming language versions before GA. Start using Node.js 26 and Python 3.15 today, provide feedback, and help shape runtime quality before general availability. ## Implementing dynamic feature flags with AWS AppConfig on AWS Lambda DevFeed: [Implementing dynamic feature flags with AWS AppConfig on AWS Lambda]() Original publisher: [Read original article]() Author: Daniel Abib Published: 2026-08-14T16:25:51Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [AWS Lambda](), [Serverless](), [experiments](), [configuration](), [Latency]() Tags: [a-b-testing](), [advanced-300](), [aws](), [aws-lambda](), [feature](), [feature-flags](), [how-to](), [latency](), [real-time](), [serverless](), [technical-how-to]() ### AI overview A tutorial on implementing dynamic feature flags with AWS AppConfig on AWS Lambda. It explains how feature flags support safe deployments, experiments, gradual rollouts, and changes without redeploying functions, using the AWS AppConfig Lambda extension to cache configuration locally and reduce latency. ### Source excerpt Feature toggles allow you to change application behavior in real time without deploying new code. Learn how to implement dynamic feature flags with AWS AppConfig on AWS Lambda for safe deployments, gradual rollouts, and instant rollback. ## Observability best practices for Lambda durable functions DevFeed: [Observability best practices for Lambda durable functions]() Original publisher: [Read original article]() Author: D Surya Sai Published: 2026-08-14T12:49:49Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [AWS Lambda](), [observability](), [Monitoring](), [log management](), [tracing](), [Instrumentation](), [debugging](), [Amazon API Gateway](), [stripe](), [Serverless]() Tags: [advanced-300](), [amazon-api-gateway](), [aws](), [aws-lambda](), [debugging](), [instrumentation](), [logging](), [metrics](), [monitoring](), [observability](), [payment](), [payment-processing](), [payments](), [serverless](), [technical-how-to](), [tracing]() ### AI overview This tutorial presents an observability pattern for AWS Lambda durable functions using a Stripe payment-processing workflow. It covers durable-function metrics, custom business metrics, alarms, structured logging, AWS X-Ray tracing, instrumentation across suspension boundaries, and end-to-end debugging of callback timeouts. ### Source excerpt Learn observability best practices for AWS Lambda durable functions, including CloudWatch metrics, custom alarms, structured logging, and X-Ray tracing for debugging callback timeouts end-to-end. ## Collecting CPU and memory metrics for AWS Lambda MicroVMs DevFeed: [Collecting CPU and memory metrics for AWS Lambda MicroVMs]() Original publisher: [Read original article]() Author: Eric Heinz Published: 2026-08-14T11:11:55Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [telemetry](), [Processes]() Tags: [advanced-300](), [agent](), [amazon-cloudwatch](), [aws](), [aws-lambda](), [cpu](), [health](), [how-to](), [json](), [latency](), [memory](), [metrics](), [monitor](), [monitoring](), [observability](), [opentelemetry](), [os](), [process](), [production](), [startup](), [technical-how-to]() ### AI overview A tutorial on collecting CPU and memory metrics from AWS Lambda MicroVMs with the Amazon CloudWatch Agent. It explains configuring Telegraf and OpenTelemetry Collector files to emit metrics with a custom dimension from an environment variable. ### Source excerpt Learn how to collect CPU and memory metrics from AWS Lambda MicroVMs using the CloudWatch Agent. Configure telegraf and OTel to monitor and right-size your workloads. ## Reducing Text2SQL latency with parameterized query templates DevFeed: [Reducing Text2SQL latency with parameterized query templates]() Original publisher: [Read original article]() Author: Yury Brukau Published: 2026-08-13T00:40:32Z Content type: article Language: en Sources: [AWS Architecture Blog]() Topics: [text2sql](), [Language models]() Tags: [ai](), [amazon-bedrock](), [architecture](), [aws-lambda](), [database](), [intermediate-200](), [latency](), [llm](), [performance](), [production](), [sql](), [technical-how-to](), [text2sql]() ### AI overview The article describes using parameterized SQL query templates as a semantic caching layer for a production Text2SQL system. It reports lower latency and token consumption by matching similar questions to templates and avoiding some LLM calls. ### Source excerpt Learn how parameterized query templates reduced Text2SQL latency by 80% and cut token consumption by over 50%. This post covers the architecture behind an intelligent caching layer that uses semantic similarity to match user questions to SQL templates, bypassing expensive LLM calls. ## How AWS IAM role manager rethinks the starting point for IAM roles DevFeed: [How AWS IAM role manager rethinks the starting point for IAM roles]() Original publisher: [Read original article]() Author: Zach Jiang Published: 2026-08-12T22:16:55Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [AWS IAM]() Tags: [aws](), [aws-iam](), [aws-identity-and-access-management-iam](), [aws-lambda](), [iam](), [intermediate-200](), [security-blog](), [security-identity-compliance](), [technical-how-to]() ### AI overview AWS IAM role manager automates creation and attachment of IAM roles for supported AWS service-console workflows, letting developers begin with default roles and refine permissions later. ### Source excerpt When you build a new application or capability on Amazon Web Services (AWS), you want to focus on what you're building. Getting a service running almost always begins with AWS Identity and Access Management (IAM). Many AWS services that act on your behalf need an IAM role, an identity the service assumes to access your [...] ## Burst to Region: Overflow AWS Outposts workloads to Amazon EC2 DevFeed: [Burst to Region: Overflow AWS Outposts workloads to Amazon EC2]() Original publisher: [Read original article]() Author: Diya Published: 2026-08-12T17:06:54Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [Amazon EC2](), [Amazon Web Services](), [datacenter](), [Latency](), [Availability](), [Amazon CloudWatch](), [AWS Lambda](), [Cloud]() Tags: [advanced-300](), [amazon-cloudwatch](), [amazon-ec2](), [api](), [applications](), [availability](), [aws](), [aws-lambda](), [aws-outposts](), [cloud](), [compute](), [data-center](), [infrastructure](), [latency](), [technical-how-to]() ### AI overview This tutorial presents a Burst to Region pattern for AWS Outposts workloads. When an Outposts rack reaches its fixed compute capacity, the pattern launches Amazon EC2 instances in the parent AWS Region, shifts traffic gradually, and returns traffic to local instances when capacity recovers. It uses CloudWatch, SNS, Lambda, EC2 Auto Scaling, Elastic Load Balancing, and EventBridge, trading increased latency for continued availability during capacity events. ### Source excerpt AWS Outposts brings AWS infrastructure into your data center with low latency and data locality. But an Outposts rack has fixed compute. Learn how to build a Burst to Region pattern that overflows workloads to Amazon EC2 in the parent Region when local capacity is exhausted. [Next page]()