Check Point® Software Technologies Ltd.(link is external) has been recognized on Newsweek’s 2025 list of America’s Best Cybersecurity Companies(link is external).
Datawire announced the newest release of Ambassador Edge Stack that is designed to speed up the inner development loop.
The new Service Preview capability uses fine-grained layer 7 control to allow multiple developers to code locally and preview changes as if the changes were part of the live cluster. By eliminating the need to build and deploy containers in each cycle of the inner development loop, Service Preview enables greater developer happiness and productivity on Kubernetes. Moreover, Service Preview slashes development-related cloud operating expenses by eliminating the need to maintain multiple, duplicative developer environments.
Organizations are moving to microservices, which enable smaller, more agile teams, more frequent releases, and continuous experimentation. Microservices support faster outer development loops, but containers, which are used to deploy microservices, introduce additional steps that slow inner development loops. The inner development loop is the iterative process that a developer performs when they write, build, and debug code. Unfortunately, this inner loop process, when used with microservices, introduces two new problems.
First, to test their changes as part of a greater application, developers must build, upload, and deploy their containers. As developers have learned, this process can add several minutes to each cycle. Given that developers run these inner development loops as many as 25-75 times a day, adding several minutes to each run imposes a high productivity loss to the development team.
Second, depending on the impact a particular change might have on the entire application, deploying the changed microservice into a test cluster shared by everyone might drastically impact other developers. As more people work on a cluster, the only option is to test and develop their changes in relative isolation.
To overcome these challenges, organizations have generally implemented procedures to make copies of development environments for individual developers to use. These procedures include duplicating shared development environments locally, emulating adjacent services, or in the cloud, creating individual clusters for each developer. Unfortunately, local development computers often crash without enough memory, and dozens to hundreds of duplicate Kubernetes clusters lead to exorbitant monthly cloud bills. In addition to adding overhead and maintenance costs, these alternatives don’t scale well and fail to effectively mirror the development cluster as they evolve between duplications.
The Ambassador Edge Stack’s new Service Preview capabilities address the deployment and isolation problems without sacrificing the benefits of scalability and fidelity that a shared staging environment can provide. Service Preview enables developers to preview changes immediately and test locally with their tool of choice. Service Preview uses the fine-grained L7 routing of the Ambassador Edge Stack to enable users to send test traffic requests into the development cluster through the edge and have those requests routed to and from their local development machine. This enables developers to treat the local version of the microservice they are testing as if it is in the shared cluster and test the interconnections to adjoining microservices and data stores. Furthermore, with Service Preview, developers on a team can send individually identifiable test traffic to test changes on the microservice they are working on without affecting the work of others.
By testing microservices locally, developers can code and test while avoiding the time-consuming build, push, and deployment to Kubernetes with every cycle. By routing test versions of live traffic requests to the local copy of the microservice being tested and treating the microservice as part of the live cluster, developers can more efficiently test their microservice and all of its connections.
Ambassador Edge Stack’s Service Preview capability leverages parts of Telepresence, an open-source project created by Datawire and now a Cloud Native Computing Foundation (CNCF) sandbox project.
“This new way of testing microservices changes the game for developers struggling to gain the full value of Kubernetes,” said Bjorn Freeman-Benson, SVP Engineering, Datawire. ”Not only are developers able to minimize the number of clusters they need for individual testing environments (and thus minimize cost), but they are also able to increase their efficiency, and ultimately provide better applications sooner.”
“Developer agility, rapid development cycles, and experimentation is central to what makes microservices architecture so powerful for engineering teams,” said Steve Hendrick, Research Director, Enterprise Management Associates. “Datawire is at the forefront of breaking down barriers in the Kubernetes development cycle, first with self-service edge policy definitions and now with faster build cycles.”
Industry News
Red Hat announced enhanced features to manage Red Hat Enterprise Linux.
StackHawk has taken on $12 Million in additional funding from Sapphire and Costanoa Ventures to help security teams keep up with the pace of AI-driven development.
Red Hat announced jointly-engineered, integrated and supported images for Red Hat Enterprise Linux across Amazon Web Services (AWS), Google Cloud and Microsoft Azure.
Komodor announced the integration of the Komodor platform with Internal Developer Portals (IDPs), starting with built-in support for Backstage and Port.
Operant AI announced Woodpecker, an open-source, automated red teaming engine, that will make advanced security testing accessible to organizations of all sizes.
As part of Summer '25 Edition, Shopify is rolling out new tools and features designed specifically for developers.
Lenses.io announced the release of a suite of AI agents that can radically improve developer productivity.
Google unveiled a significant wave of advancements designed to supercharge how developers build and scale AI applications – from early-stage experimentation right through to large-scale deployment.
Red Hat announced Red Hat Advanced Developer Suite, a new addition to Red Hat OpenShift, the hybrid cloud application platform powered by Kubernetes, designed to improve developer productivity and application security with enhancements to speed the adoption of Red Hat AI technologies.
Perforce Software announced Perforce Intelligence, a blueprint to embed AI across its product lines and connect its AI with platforms and tools across the DevOps lifecycle.
CloudBees announced CloudBees Unify, a strategic leap forward in how enterprises manage software delivery at scale, shifting from offering standalone DevOps tools to delivering a comprehensive, modular solution for today’s most complex, hybrid software environments.
Azul and JetBrains announced a strategic technical collaboration to enhance the runtime performance and scalability of web and server-side Kotlin applications.
Docker, Inc.® announced Docker Hardened Images (DHI), a curated catalog of security-hardened, enterprise-grade container images designed to meet today’s toughest software supply chain challenges.
GitHub announced that GitHub Copilot now includes an asynchronous coding agent, embedded directly in GitHub and accessible from VS Code—creating a powerful Agentic DevOps loop across coding environments.