LocalStack Adds Support for AWS Lambda Web Functions in Local AWS Sandbox Environments TMCnet News [October 13, 2026] | / | LocalStack Adds Support for AWS Lambda Web Functions in Local AWS Sandbox Environments ZURICH, Oct. 13, 2026 (GLOBE NEWSWIRE) - LocalStack, the market leader in local cloud development, today announced that it has added support for the new AWS Lambda Web Functions which was released yesterday to streamline development of high-performing serverless web applications on AWS. Now with LocalStack for AWS, developers and AI agents can experiment with advanced serverless applications in a local development environment from the first day the feature is available on AWS. "Serverless applications have always been such a strong fit for local cloud development. Introducing Day-1 support for AWS Lambda Web Functions was a no-brainer for us," said Waldemar Hummer, co-founder and CTO of LocalStack. "It's always encouraging to watch our community evolve from experimenting with these new features locally to building repeatable development workflows based on the local environment. We're excited to see where the community takes this feature." Traditional serverless functions process events one at a time. Running a web app on serverless functions has required adding adapters, accepting slowdowns when traffic spiked and paying for time spent waiting on databases or AI models. AWS Lambda Web Functions remove those trade-offs. They run as standard HTTP servers that listen on a port, and each environment handles many requests at once so apps stay fast when traffic spikes. Teams can use the frameworks they already know and stop paying for CPU while the app waits. LocalStack provides the industry-leading local cloud development platform for AWS applications. By simulating how AWS services behave in a local container, LocalStackfor AWS enables software developers and AI agents to identify and fix bugs, security risks and other issues faster and more effectively than they can when building in cloud development environments. Support for AWS Lambda Web Functions is available to LocalStack for AWS customers today. This provides the AWS developer community a secure, isolated sandbox to experiment and test the feature in an experience that makes it easier to reproduce production conditions, surface bugs and validate code updates. LocalStack will present alongside the AWS Lambda team for an introductory webinar to show how AWS Lambda Web Functions can improve application performance and walk through next steps to test those applications locally via LocalStack on October 22: https://www.localstack.cloud/events/introducing-aws-lambda-web-functions-deep-dive-with-aws?utm_source=pr About LocalStack LocalStack's mission is to make cloud software development easier, faster and more impactful by unlocking the benefits of local infrastructure for cloud-based application environments. With more than 1,500 customers and hundreds of millions of Docker pulls, LocalStack has become the de facto standard for local cloud development worldwide. LocalStack is remote-first and backed by Notable Capital. For more information, please visit https://www.localstack.cloud/. Media and Analyst Contact: Amber Rowland [email protected] +1-650-814-4560 [ Back To TMCnet.com's Homepage] |

LocalStack expands its local cloud development offerings with launch of LocalStack for Azure. October 07, 2026 12:00 ET | Source: LocalStack ZURICH, Oct. 07, 2026 (GLOBE NEWSWIRE) - LocalStack, the market leader in local cloud development, today announced the public beta of LocalStack for Azure, the local cloud development platform for developers and AI agents building applications for Microsoft Azure. This is LocalStack's third offering; LocalStack has become the de facto standard for local cloud development on AWS and Snowflake, trusted by more than 1,500 organizations with more than 18 million weekly active user sessions worldwide. "AI agents do not just generate code faster. They create far more code that enterprises need to test safely. That makes the development environment part of the AI governance stack. LocalStack for Azure gives developers and agents a bounded place to experiment against Azure APIs without live cloud credentials, provisioning delays or a meter running on every test. Local simulation is becoming a safety and verification layer for autonomous software development," said Stephanie Walter, Practice Leader - AI Stack, HyperFRAME Research. "As our community has grown, we've seen strong demand to bring the LocalStack experience to Microsoft Azure. AI agents are changing how software teams build and test applications for the cloud. With LocalStack for Azure, we're bringing a fast, isolated development experience that supports how today's software teams build and iterate applications for Azure," said Waldemar Hummer, co-founder and CTO of LocalStack. Traditional cloud application development workflows require provisioning actual infrastructure to perform non-production activity like development, testing, debugging and validation. Since cloud platforms like Microsoft Azure are intended to support production applications, provisioning a cloud environment introduces delays, security risks, cloud cost implications and complexity that slow down the pipeline and inhibit quality. Agentic AI intensifies these challenges as software engineering teams face pressure to validate and ship a higher volume of AI-generated code to production. LocalStack for Azure uses the APIs for Microsoft Azure cloud services to emulate how customers' applications will behave once they are deployed to the cloud. Running as a lightweight container on the customer's private infrastructure, LocalStack allows Microsoft Azure customers to run and test their application against a local cloud environment that simulates how it will behave once deployed to the production environment. Software teams building Azure applications can use the same application code and Infrastructure as Code files they use today but can push development and test workloads to the container as the endpoint. Once the developer or AI agent validates code in the local environment, they can seamlessly push to a live cloud environment for final staging or production. This unlocks several advantages over traditional cloud-native application development workflows: * Agentic cloud development: Enterprises can provide their autonomous AI agents a simulated cloud environment that runs locally so they can perform early-stage development without requiring access to a cloud environment or struggling with the delays of cloud-hosted environments. * Instant validation of code updates: Since LocalStack only simulates how the application will behave on Azure, code updates are validated instantly. By contrast, many cloud environments take 15 minutes or longer to provision when pushing code updates, introducing delays for development workflows with high rates of iteration. * Single-tenant development environments: Without the security or cost implications of accessing public cloud infrastructure, enterprise engineering teams can give every developer and AI agent a standalone cloud development sandbox environment. This eliminates the need for shared staging environments and unlocks concurrent development and testing across the software organization. * Reproducing production environments: Whereas capturing the state of a live cloud environment is challenging, the containerized nature of a LocalStack environment is easier to snapshot and reproduce at scale. This makes it easier to debug applications by eliminating the complexity of navigating production infrastructure for testing and debugging applications. * Cloud cost optimization: Non-production cloud environments are a common source of wasted cloud costs as engineering teams over-provision resources for lightweight development work and leave them running longer than they need. LocalStack allows software teams to run non-production workloads in an isolated local environment that does not contribute to cloud costs. Common use cases for LocalStack for Azure include: * Autonomous agentic AI sandboxes: Integrating LocalStack accelerates autonomous software development workflows for AI agents by eliminating the delays for cloud provisioning while also optimizing cloud costs and mitigating cloud security risk. * Developer sandboxes: Each developer can access a single-tenant staging environment to experiment and debug the application without the delays of waiting for access to a shared staging environment or complexity of building in the cloud. * CI/CD automation: Integrating LocalStack into CI/CD pipelines enables faster unit and integration tests while also eliminating the overhead of maintaining live cloud infrastructure for automated testing. About LocalStack LocalStack's mission is to make cloud software development easier, faster and more impactful by unlocking the benefits of local infrastructure for cloud-based application environments. With more than 1,500 customers and hundreds of millions of Docker pulls, LocalStack has become the de facto standard for local cloud development worldwide. LocalStack is remote-first and backed by Notable Capital. For more information, please visit https://www.localstack.cloud/. Media and Analyst Contact: Amber Rowland [email protected] +1-650-814-4560

LocalStack has acquired WonderTwin AI, a provider of local application emulators for services including GitHub, HubSpot, PostHog and Stripe. The deal addresses bottlenecks in AI-native software development, where shared sandbox environments struggle to support the scale and concurrency required when AI agents build code. WonderTwin AI's emulators simulate third-party applications on local infrastructure, allowing developers and AI agents to test integrations without connecting to live APIs. LocalStack already provides local cloud development platforms that simulate AWS and Snowflake behaviour. The combined offering will enable AI-native software engineers to validate entire application stacks locally, avoiding the complexity and risks of connecting to live production services. WonderTwin AI founder Tela Andrews said AI agents had "completely broken" traditional SaaS testing environments, making emulation necessary.