Latest news with #DockerCompose
Forbes
18-07-2025
- Business
- Forbes
Docker Unifies Container Development And AI Agent Workflows
Docker Compose Docker, Inc. has positioned itself as the central orchestration platform for AI agent development, standardizing how developers build, deploy and manage intelligent applications through its enhanced compose framework and new infrastructure tools. Streamlining Agent Development Through Familiar Workflows Docker recently extended its compose specification to include a new 'models' element, allowing developers to define AI agents, large language models and Model Context Protocol tools within the same YAML files they already use for microservices. This integration eliminates the fragmented development experience that has plagued enterprise AI projects, where teams often struggle to move beyond proof-of-concept phases. The enhancement enables developers to deploy complete agentic stacks with a single 'docker compose up' command, treating AI agents as first-class citizens alongside traditional containerized applications. This approach addresses a fundamental challenge in enterprise AI development: the disconnect between experimental AI workflows and production deployment pipelines. Multi-Framework Integration Strategy Docker's approach centers on supporting multiple AI agent frameworks simultaneously, rather than favoring a single solution. The platform now integrates with LangGraph, CrewAI, Spring AI, Vercel AI SDK, Google's Agent Development Kit and Embabel. This framework-agnostic strategy reflects Docker's understanding that enterprise environments require flexibility to adopt different AI technologies based on specific use cases. The integration allows developers to configure different frameworks within the same compose file, enabling hybrid agent architectures. For instance, a financial services application might use LangGraph for complex reasoning workflows while employing CrewAI for multi-agent coordination tasks. Cloud Infrastructure and Scaling Capabilities Docker Offload represents a significant infrastructure investment, providing developers with access to NVIDIA L4 GPUs for compute-intensive AI workloads. The service charges $0.015 per GPU minute after an initial 300 free minutes, positioning it as a development-focused solution rather than a production hosting service. The company has established partnerships with Google Cloud and Microsoft Azure, enabling seamless deployment to Cloud Run and Azure Container Apps, respectively. This multi-cloud approach ensures organizations can leverage their existing cloud investments while maintaining consistency in their development workflows. Security and Enterprise Readiness Docker's MCP Gateway addresses enterprise security concerns by providing containerized isolation for AI tools and services. The gateway manages credentials, enforces access controls and provides audit trails for AI tool usage, addressing compliance requirements that often block enterprise AI deployments. The platform's security-by-default approach extends to its MCP Catalog, which provides curated and verified AI tools and services. This curation process addresses supply chain security concerns that have emerged as AI components are integrated into production systems. Implementation Challenges and Considerations Despite the streamlined development experience, organizations face several implementation challenges. The complexity of managing multiple AI frameworks within a single environment requires sophisticated dependency management and version control practices. Cold start latencies in containerized AI applications can introduce a few seconds of delay, requiring careful optimization strategies. Enterprise adoption also requires addressing data governance and model management practices. While Docker's platform simplifies deployment, organizations must still establish practices for model versioning, performance monitoring, observability and cost management across different AI workloads. Key Takeaways Docker's multi-framework approach represents a bet on ecosystem diversity rather than standardization around a single AI framework. This strategy acknowledges that enterprise AI applications will likely require multiple specialized tools rather than monolithic solutions. The platform's success depends on maintaining interoperability between different AI frameworks while providing consistent deployment and management experiences. The introduction of Docker Offload also signals Docker's expansion beyond traditional containerization into cloud infrastructure services. This evolution positions the company to capture more value from AI workloads while maintaining its focus on developer experience and workflow integration. For technology decision-makers, Docker's AI agent platform provides a mechanism to standardize AI development practices while maintaining flexibility in framework choice. The platform's emphasis on familiar workflows and existing tool integration reduces the learning curve for development teams, potentially accelerating AI adoption timelines within enterprise environments.
Business Upturn
10-07-2025
- Business
- Business Upturn
Docker Brings Agentic Apps to Life with New Compose Support, Cloud Offload, and Partner Integrations
By GlobeNewswire Published on July 10, 2025, 14:30 IST BERLIN, July 10, 2025 (GLOBE NEWSWIRE) — Docker, Inc.® , a provider of cloud-native and AI-native development tools, infrastructure, and services, today announced major new capabilities that make it dramatically easier for developers to build, run, and scale intelligent, agentic applications. By extending Docker Compose to support agents and AI models, introducing Docker Offload for cloud-scale execution, and collaborating with cloud providers like Google Cloud and Microsoft Azure and AI SDKs like CrewAI, Embabel, LangGraph, Spring AI, and Vercel AI SDK, Docker is delivering on its mission to simplify complex technology and empower developers. 'Agentic applications are rapidly evolving, but building production-grade agentic systems is still too hard,' said Tushar Jain, EVP of Engineering, Docker, Inc. 'Just like Docker democratized microservices a decade ago, we're now making agentic apps accessible to every developer by making agent-based development as easy, secure, and repeatable as container-based app development has always been. The next wave of software is powered by intelligent agents, and Docker makes it easy to turn that potential into real, running applications.' These advancements are more than just new tools. They help solve one of the biggest challenges facing developers today, which is moving agentic applications from local prototypes to secure and scalable production environments. Docker Compose Enters the Agent Era For over a decade, Docker Compose has been the go-to tool used by millions of developers for defining and running multi-container applications. Now, Docker is extending Compose into the agent era, enabling developers to define intelligent agent architectures consisting of models and tools in the same simple YAML files they already use for microservices and take those agents to production. With the new Compose capabilities, developers can: Define agents, models, and tools as services in a single Compose file Run agentic workloads locally or deploy seamlessly to cloud services like Google Cloud Run or Azure Container Apps Integrate with Docker's open source Model Context Protocol (MCP) Gateway for secure tool discovery and communication Share, version, and deploy agentic stacks across environments without rewriting infrastructure code This approach brings powerful agent orchestration into familiar workflows with no new languages or tools required. 'Making it just as straightforward for developers to take AI apps from prototype into production as it already is for regular code—that's the next big thing in app development,' said Torsten Volk, Principal Analyst at Enterprise Strategy Group. 'Expanding Docker Compose to give developers the same familiar, simple experience for AI deployments as they have for traditional apps is exactly what we need. Plus, the new capability to run AI models directly in the cloud—without clogging up your laptop—is another major step forward. This should make a real difference in how quickly enterprises can start adopting AI at scale.' Introducing Docker Offload: Cloud Power, Local Simplicity As agentic applications demand more GPU power for complex AI tasks, local machines frequently fall short of the necessary capacity, which has become a significant pain point for developers. To solve this, Docker today unveiled Docker Offload (Beta), a new capability that enables developers to offload AI and GPU-intensive workloads to the cloud without disrupting their existing workflows. With Docker Offload, developers can: Maintain local development speed while accessing cloud-scale compute and GPUs Run large models and multi-agent systems in high-performance cloud environments Choose where and when to offload workloads for privacy, cost, and performance optimization Keep data and workloads within specific regions to meet sovereignty requirements and ensure data does not leave designated zones across the globe. Docker Offload integrates directly into Docker Desktop, preserving the familiar docker compose up experience while delivering cloud horsepower under the hood. Built on a Thriving Ecosystem Docker's agentic capabilities are launching alongside new integrations with leading cloud and AI platforms. Key partnerships include: Google Cloud: Deploy agentic applications to production via serverless environments with the new gcloud compose up command Microsoft Azure: Seamless deployments via Azure Container Apps, arriving soon Popular agent frameworks: Compose integrations now support CrewAI, Embabel, Google's ADK, LangGraph, Spring AI, and Vercel AI SDK, and more. Steren Giannini, Director of Product Management, Google Cloud Run 'With Compose Spec support in Cloud Run, we're making it dramatically simpler to move sophisticated AI apps from local development straight to production. This collaboration brings the best of both worlds: Docker's local dev power combined with Cloud Run's serverless scale and reliability, all with one simple command.' Scott Hunter, Vice President Director of Product, Azure Developer Experience 'Microsoft has been collaborating with Docker for many years, and we're pleased to see Docker extend the Compose Spec to support agent-based application development. We're working together to make agentic app deployment seamless on Microsoft Azure Container Apps—helping developers easily build and scale AI applications and agents from local dev to the cloud. These integrations help ensure developers can easily adopt Docker's agentic tooling alongside the frameworks they already use.' Ram Venkatesh, CTO and Co-founder of 'Agent-based systems represent a transformative leap in how software interacts with the world: autonomous, goal-driven, and contextual. Docker's direction supporting agentic architectures is a major unlock for developers, making it radically easier to compose, scale, and iterate on multi-agent systems without compromising security or reinventing infrastructure. This is the kind of pragmatic innovation that accelerates agentic adoption for real-world use cases.' Craig McLuckie, CEO and Founder of Stacklok and Co-Creator of Kubernetes 'Enterprises that want to lift up their knowledge workers and create powerful new customer experiences need to connect the right data to AI models at the right times, and that requires use of MCP. Docker has a critical role to play in facilitating adoption of MCP through familiar constructs like containers and Docker Compose. By working together, in the open, we can bring simplicity and security to MCP that will unlock real enterprise adoption.' Availability Docker Compose enhancements for agentic applications are available today Docker Offload is available in closed beta for developers who request access. Google Cloud Run integration is live; Azure Container Apps support is coming soon MCP Gateway and Docker Hub MCP Server are open source and ready for use Resources About Docker Docker drives modern software development by making it easy to adopt container technology to radically boost productivity, security, testing, and collaboration at every step of the developer experience, including emerging AI workflows. Embraced by over 20 million developers worldwide, Docker's unmatched flexibility and choice make it the preferred tool for developers seeking efficiency and innovation for creating modern applications. Learn more about Docker at . A video accompanying this announcement is available at: Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same. Ahmedabad Plane Crash GlobeNewswire provides press release distribution services globally, with substantial operations in North America and Europe.
Yahoo
13-05-2025
- Business
- Yahoo
Continuent Releases Tungsten Dashboard v8, an Upgrade to Its Web-Based Interface for Managing and Monitoring MySQL Clusters
New release enhances cluster management with improved usability, security and real-time monitoring SAN FRANCISCO, May 13, 2025 /PRNewswire/ -- Continuent, a leading provider of solutions for business-critical applications using MySQL and MariaDB databases, featuring cluster management, data replication and connectivity, today announced the release of Tungsten Dashboard version 8, a major update to its web-based graphical interface for managing and monitoring Tungsten Clusters. The new version delivers significant improvements in operational efficiency, security and user experience to further simplify the way administrators interact with their database clusters in real time. "As today's data environments become more distributed and demanding, IT teams need a unified solution that delivers real-time insight, secure access and operational control without added complexity," said Eero Teerikorpi, CEO of Continuent. "Tungsten Dashboard v8 brings these capabilities together in one streamlined user interface. It makes it easier for teams to monitor, manage and scale their MySQL and MariaDB infrastructure with confidence, clarity and control." Tungsten Dashboard has long provided organizations with a centralized view of their multi-site, multi-primary - active/passive and active/active - MySQL deployments. With support for seamless management and monitoring of complex topologies, the dashboard has been a core tool for reducing administrative overhead and enhancing cluster reliability. Tungsten Dashboard v8 builds on this foundation with a suite of new features designed to make cluster operations more intuitive, secure and responsive. Key enhancements include: Improved Operations Real-time cluster monitoring enables instant visibility into cluster health and status. User-friendly operation triggers allow administrators to execute commands more easily and safely. Advanced filtering and search tools streamline the discovery of specific resources or events within large cluster environments. Simplified deployment through support for Docker Compose and Helm accelerates installation and onboarding. Enhanced Security End-to-end encryption of sensitive data ensures data integrity and confidentiality. Role-based user management enables granular access control, supporting compliance with security policies. Token-based authentication and full SSL support provide secure, end-to-end communication—from the user's browser, through the dashboard frontend and backend, and all the way to the cluster nodes. Efficient Communication Protocol Publish/subscribe architecture over persistent TCP connections reduces latency and ensures fast updates without overloading cluster resources. Low-impact design minimizes performance degradation during active monitoring. Automatic cluster discovery from a single entry point accelerates setup and simplifies operations in dynamic environments. Tungsten Dashboard v8 is available now for existing customers and can be installed as a standalone component or alongside new and existing Tungsten Clusters. Installation and upgrade instructions are available in the official documentation. For more information about Tungsten Dashboard v8 or Continuent's full suite of high-availability MySQL solutions, visit About ContinuentContinuent is a leading provider of solutions for business-critical applications using MySQL and MariaDB databases, including cluster management, replication, and connectivity. Driving the deployment and management of open-source MySQL databases at scale, Continuent supports continuous global database operations with commercial-grade high availability, best-in-class disaster recovery, and seamless data distribution across multiple geographic regions. Whether on-premises, hybrid-cloud or multi-cloud, Continuent facilitates the integration of MySQL databases with various cloud platforms, ensuring optimal reliability and scalability in cloud-based deployments. Continuent safeguards more than $25 billion of its customers' combined revenue, handling billions of transactions each year by SaaS applications, e-commerce platforms, financial services and telecom solutions. With roots in Finland and based in the San Francisco Bay Area, Continuent is trusted by Fortune 500 companies in North America and Europe across a wide range of industries, since 2004. For more information, visit Media contacts:Michael TeboGabriel Marketing Group (for Continuent)Phone: (703) 829-6089Email: michaelt@ View original content to download multimedia: SOURCE Continuent
