Jump to content

Search the Community

Showing results for tags 'lambda'.

  • Search By Tags

    Type tags separated by commas.
  • Search By Author

Content Type


  • General
    • Welcome New Members !
    • General Discussion
    • Site News
  • DevOps & SRE
    • DevOps & SRE General Discussion
    • Databases, Data Engineering, Data Science, BI & AI
    • Development & Programming
    • CI/CD & GitOps
    • Docker, Containers, Microservices & Serverless
    • Infrastructure-as-Code
    • Kubernetes
    • Linux
    • Monitoring, Observability & Logging
    • Security
  • Cloud Providers
    • Amazon Web Services
    • Google Cloud Platform
    • Microsoft Azure
    • Red Hat OpenShift

Find results in...

Find results that contain...

Date Created

  • Start


Last Updated

  • Start


Filter by number of...


  • Start



Website URL

LinkedIn Profile URL

About Me

Development Experience

Cloud Experience

Current Role



Favourite Tools


  1. There are several steps involved in implementing a data pipeline that integrates Apache Kafka with AWS RDS and uses AWS Lambda and API Gateway to feed data into a web application. Here is a high-level overview of how to architect this solution: 1. Set Up Apache Kafka Apache Kafka is a distributed streaming platform that is capable of handling trillions of events a day. To set up Kafka, you can either install it on an EC2 instance or use Amazon Managed Streaming for Kafka (Amazon MSK), which is a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. View the full article
  2. AWS Lambda now allows Lambda functions to access resources in dual-stack VPC (outbound connections) over IPv6, at no additional cost. With this launch, and Lambda’s support for public IPv6 endpoints (inbound connections) in 2021, Lambda enables you to scale your application without being constrained by the limited number of IPv4 addresses in your VPC, and to reduce costs by minimizing the need for translation mechanisms. View the full article
  3. Developers using SAM CLI to author their serverless application with Lambda functions can now create and use Lambda test events to test their function code. Test events are JSON objects that mock the structure of requests emitted by AWS services to invoke a Lambda function and return an execution result, serving to validate a successful operation or to identify errors. Previously, Lambda test events were only available in the Lambda console. With this launch, developers using SAM CLI can create and access a test event from their AWS account and share it with other team members. View the full article
  4. In this post, we’ll explore how to publish and consume services running on Amazon Elastic Container Service (Amazon ECS) and AWS Lambda, as Amazon VPC Lattice services. For an introduction to Amazon VPC Lattice, please read the documentation here. One main reason customer experience a lower velocity of innovation, is the complexity they deal with while trying to ensure that their applications can communicate in a simple and secure way. Amazon VPC Lattice is a powerful application networking service that removes this complexity, and gives developers a simpler user experience to share their application and connect with dependencies without having to setup any of the underlying network connectivity across Amazon Virtual Private Clouds (Amazon VPCs), AWS accounts, and even overlapping IP addressing. It handles both application layer load balancing and network connectivity, so that developers can focus on their applications, instead of infrastructure... View the full article
  5. This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the launches that got my attention last week: Amazon S3 – Last week there was AWS Pi Day 2023 celebrating 17 years of innovation since Amazon S3 was introduced on March 14, 2006. For the occasion, the team released many new capabilities: S3 Object Lambda now provides aliases that are interchangeable with bucket names and can be used with Amazon CloudFront to tailor content for end users. S3 now support datasets that are replicated across multiple AWS accounts with cross-account support for S3 Multi-Region Access Points. You can now create and configure replication rules to automatically replicate S3 objects from one AWS Outpost to another. Amazon S3 has also simplified private connectivity from on-premises networks: with private DNS for S3, on-premises applications can use AWS PrivateLink to access S3 over an interface endpoint, while requests from your in-VPC applications access S3 using gateway endpoints. We released Mountpoint for Amazon S3, a high performance open source file client. Read more in the blog. Note that Mountpoint isn’t a general-purpose networked file system, and comes with some restrictions on file operations. Amazon Linux 2023 – Our new Linux-based operating system is now generally available. Sébastien’s post is full of tips and info. Application Auto Scaling – Now can use arithmetic operations and mathematical functions to customize the metrics used with Target Tracking policies. You can use it to scale based on your own application-specific metrics. Read how it works with Amazon ECS services. AWS Data Exchange for Amazon S3 is now generally available – You can now share and find data files directly from S3 buckets, without the need to create or manage copies of the data. Amazon Neptune – Now offers a graph summary API to help understand important metadata about property graphs (PG) and resource description framework (RDF) graphs. Neptune added support for Slow Query Logs to help identify queries that need performance tuning. Amazon OpenSearch Service – The team introduced security analytics that provides new threat monitoring, detection, and alerting features. The service now supports OpenSearch version 2.5 that adds several new features such as support for Point in Time Search and improvements to observability and geospatial functionality. AWS Lake Formation and Apache Hive on Amazon EMR – Introduced fine-grained access controls that allow data administrators to define and enforce fine-grained table and column level security for customers accessing data via Apache Hive running on Amazon EMR. Amazon EC2 M1 Mac Instances – You can now update guest environments to a specific or the latest macOS version without having to tear down and recreate the existing macOS environments. AWS Chatbot – Now Integrates With Microsoft Teams to simplify the way you troubleshoot and operate your AWS resources. Amazon GuardDuty RDS Protection for Amazon Aurora – Now generally available to help profile and monitor access activity to Aurora databases in your AWS account without impacting database performance AWS Database Migration Service – Now supports validation to ensure that data is migrated accurately to S3 and can now generate an AWS Glue Data Catalog when migrating to S3. AWS Backup – You can now back up and restore virtual machines running on VMware vSphere 8 and with multiple vNICs. Amazon Kendra – There are new connectors to index documents and search for information across these new content: Confluence Server, Confluence Cloud, Microsoft SharePoint OnPrem, Microsoft SharePoint Cloud. This post shows how to use the Amazon Kendra connector for Microsoft Teams. For a full list of AWS announcements, be sure to keep an eye on the What's New at AWS page. Other AWS News A few more blog posts you might have missed: Women founders Q&A – We’re talking to six women founders and leaders about how they’re making impacts in their communities, industries, and beyond. What you missed at that 2023 IMAGINE: Nonprofit conference – Where hundreds of nonprofit leaders, technologists, and innovators gathered to learn and share how AWS can drive a positive impact for people and the planet. Monitoring load balancers using Amazon CloudWatch anomaly detection alarms – The metrics emitted by load balancers provide crucial and unique insight into service health, service performance, and end-to-end network performance. Extend geospatial queries in Amazon Athena with user-defined functions (UDFs) and AWS Lambda – Using a solution based on Uber’s Hexagonal Hierarchical Spatial Index (H3) to divide the globe into equally-sized hexagons. How cities can use transport data to reduce pollution and increase safety – A guest post by Rikesh Shah, outgoing head of open innovation at Transport for London. For AWS open-source news and updates, here’s the latest newsletter curated by Ricardo to bring you the most recent updates on open-source projects, posts, events, and more. Upcoming AWS Events Here are some opportunities to meet: AWS Public Sector Day 2023 (March 21, London, UK) – An event dedicated to helping public sector organizations use technology to achieve more with less through the current challenging conditions. Women in Tech at Skills Center Arlington (March 23, VA, USA) – Let’s celebrate the history and legacy of women in tech. The AWS Summits season is warming up! You can sign up here to know when registration opens in your area. That’s all from me for this week. Come back next Monday for another Week in Review! — Danilo View the full article
  6. AWS Lambda announces support for lambda:SourceFunctionArn. A new IAM condition key that can be used for IAM policy conditions that specify the ARN of the function from which a request is made. Starting today, when a function is invoked, Lambda will automatically add the new lambda:SourceFunctionArn condition key to the request context of all AWS API calls made by function code. You can use the Condition element in your IAM policy to compare the lambda:SourceFunctionArn condition key in the request context with values that you specify in your policy. View the full article
  7. AWS Lambda announces support for attribute-based access control (ABAC) for API actions that use Lambda function as the required resource. ABAC is an authorization strategy that defines access permissions based on tags which can be attached to IAM resources, such as IAM users and roles, and to AWS resources, like Lambda functions, to simplify permission management. View the full article
  8. We are excited to announce the general availability of AWS Lambda Powertools for TypeScript, an open-source developer library to help you incorporate Well-Architected Serverless best practices into your Lambda function code as early and as fast as possible. View the full article
  9. Amazon WorkMail now supports invoking AWS Lambda for user availability, through Custom Availability Provider Lambda (CAP Lambda). CAP Lambda are a new way for WorkMail to get availability information from external availability sources. A customer can use these CAP Lambda to give WorkMail access to availability information for users on other calendaring providers they own, even if their endpoints are private, or if they do not have an Exchange Web Services (EWS) endpoint. View the full article
  10. Amazon WorkMail now supports invoking AWS Lambda for user availability, through Custom Availability Provider Lambdas (CAP Lambdas). CAP Lambdas are a new way for WorkMail to get availability information from external availability sources. A customer can use these CAP Lambdas to give WorkMail access to availability information for users on other calendaring providers they own, even if their endpoints are private, or if they do not have an Exchange Web Services (EWS) endpoint. View the full article
  11. In this week’s The Long View: Warren Buffett asks too much for wind energy, it’s “completely ridiculous” to say Google’s chatbot LaMDA is sentient, and Microsoft finally kills Internet Explorer. View the full article
  12. We are excited to announce the public beta of HashiCorp Consul service mesh support for Amazon’s serverless functions service: AWS Lambda. This release will ensure service mesh users can now take advantage of consistent workflows and encrypted communications from all mesh services to all upstream workloads including Lambda functions. As organizations focus on getting to market faster, serverless adoption helps developers accelerate application development. Datadog’s State of Serverless Survey shows that AWS Lambda is leading the serverless landscape. However, effectively integrating AWS Lambda into a service mesh requires first-class support. Previously, other Lambda integrations bypassed the service mesh. This beta release addresses these limitations by extending Consul service mesh capabilities and secure communications to AWS Lambda in addition to existing support for Kubernetes, virtual machines, HashiCorp Nomad, and Amazon ECS... View the full article
  13. AWS Lambda now supports Node.js 16 as both a managed runtime and a container base image. Developers creating serverless applications in Lambda with Node.js 16 can take advantage of new features such as support for Apple silicon for local development, the timers promises API, and enhanced performance. For more information on Lambda’s support for Node.js 16, see our blog post at Node.js 16.x runtime now available in AWS Lambda. View the full article
  14. AWS Lambda customers can now enable functions to access Amazon Elastic File System (Amazon EFS) in the Asia Pacific (Jakarta) Region. With AWS Lambda support for Amazon EFS, customers can easily share data across function invocations, read large reference data files, and write function output to a persistent and shared data store. View the full article
  15. Amazon CloudWatch Lambda Insights, now available in preview, enables you to monitor, troubleshoot, and optimize the performance of AWS Lambda functions. With this preview, you have access to automated dashboards summarizing the performance and health of your Lambda functions that provide visibility into issues such as memory leaks or performance changes caused by new function versions. View the full article
  16. You can now send logs from AWS Lambda functions directly to a destination of your choice by using AWS Lambda Extensions. AWS Lambda Extensions are a new way for monitoring, observability, security, and governance tools to integrate with Lambda, and today, you can use extensions that send logs to the following providers: Datadog, New Relic, Sumo Logic, Honeycomb, Lumigo, and Coralogix. View the full article
  17. We are excited to announce the public preview of a HashiCorp Vault AWS Lambda extension, utilizing the newly announced AWS Lambda Extensions API (also in public preview) to securely retrieve secrets from HashiCorp Vault. Practitioners that have standardized on HashiCorp Vault for secrets management and AWS Lambda as their serverless compute environment no longer have to make their Lambda functions Vault aware. The extension will retrieve the specified secret from a Vault cluster and present it to the Lambda function. "Hundreds of thousands of customers use AWS Lambda to run their applications - all they need to do is supply the code,” says Dhruv Sood, Sr. Product Manager, AWS Lambda, Amazon Web Services, Inc. "The HashiCorp Vault extension for AWS Lambda makes it easy for operators to manage their secrets and make them available for developers to use within their application code.” View the full article
  18. AWS Lambda Extensions are a new way to integrate your favorite operational tools for monitoring, observability, security, and governance with AWS Lambda. Starting today, extensions are generally available in all commercial regions, with new performance improvements and an expanded set of partners including Imperva, Instana, Sentry, Site24x7, and the AWS Distro for OpenTelemetry. View the full article
  19. Using the AWS Toolkit for VS Code, customers can now create, locally debug, and deploy Lambda functions written in Java and Go. Java users will be able to step-through debug Lambdas built with Maven and Gradle in Java 8, Java 8.al2, and Java 11, while Go users will be able to do the same with Lambdas built in Golang 1.14+. View the full article
  20. You can now use AWS Lambda with extensions for your favorite operational tools for monitoring, observability, security, and governance. Today, you can use extensions for the following tools: AppDynamics, Check Point, Datadog, Dynatrace, Epsagon, HashiCorp, Lumigo, New Relic, Thundra, Splunk, AWS AppConfig, and Amazon CloudWatch Lambda Insights. View the full article
  21. Amazon Aurora with PostgreSQL compatibility can now make calls to AWS Lambda functions. AWS Lambda lets you run code without provisioning or managing servers, and without worrying about scalability. View the full article
  22. Amazon CloudWatch Lambda Insights enables you to monitor, troubleshoot, and optimize the performance of AWS Lambda functions. You have access to automated dashboards summarizing the performance and health of your Lambda functions that provide visibility into issues such as memory leaks or performance changes caused by new function versions. View the full article
  23. AWS Lambda customers can now provision Lambda functions with a maximum of 10,240 MB (10 GB) of memory, a more than 3x increase compared to the previous limit of 3,008 MB. This helps workloads like batch, extract, transform, load (ETL) jobs, and media processing applications perform memory intensive operations at scale. View the full article
  24. AWS Lambda reduced the billing granularity for Lambda function duration from 100ms down to 1ms. This will lower the price for most Lambda functions, more so for short duration functions. Their compute duration will be billed in 1ms increments instead of being rounded up to the nearest 100 ms increment per invoke. For example, a function that runs in 30ms on average used to be billed for 100ms. Now, it will be billed for 30ms resulting in a 70% drop in its duration spend. View the full article
  25. AWS Lambda now allows customers using Amazon Simple Queue Service (Amazon SQS) as an event source to define a wait period, called MaximumBatchingWindowInSeconds, to allow messages to accumulate in their SQS queue before invoking a Lambda function. In addition to Batch Size, this is a second option to send records in batches, to reduce the number of Lambda invokes. This option is ideal for workloads that are not time-sensitive, and can choose to wait to optimize cost. View the full article
  • Forum Statistics

    Total Topics
    Total Posts
  • Create New...