IBM DevOps Accelerate
IBM DevOps Accelerate can speed and optimize software delivery for any mix of on-premises, cloud, and mainframe applications. DevOps Accelerate software can automate builds, deployments, and releases of monolithic applications, microservices-based applications, or a mix, on the cloud, on-premises, in a data center, or on the mainframe. DevOps Accelerate provides a single point of control to help manage the delivery of microservices workloads across dev/test and production, spanning many clouds, including traditional cloud providers, containers, and VMs. Eliminate human error to release software with confidence. Get extensive pipeline management, visibility, and automation. Transform release toolchains into coherent pipelines. Get visibility, and coordinated delivery. Improve the rate and flow of application delivery with visibility into your DevOps Accelerate delivery pipeline. Eliminate custom scripts and get a deployment process that’s easier to design, and more secure.
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Cloudify
Manage all private and public environments from one platform using a single CI/CD plugin that connects to ALL automation toolchains. Including Jenkins, Kubernetes, Terraform, Cloud Formation, Azure ARM and more. No installation, no downloads … and on us for the first 30 days. Built-in integration with infrastructure orchestration domains including AWS Cloud formation, Azure ARM, Ansible and Terraform. Service Composition Domain-Specific Language (DSL) – simplifies the relationship between services, handling cascading workflows, shared resources, distributed life-cycle management and more. Orchestration of cloud native Kubernetes services across multiple clusters: OpenShift, GKE, EKS, AKS and KubeSpray. Access a built-in blueprint to automate cluster setup and configuration. Built-in integration with Jenkins and other CI/CD platforms providing a ‘one-stop-shop’ for integrating all orchestration domains to your CI/CD pipeline.
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IBM Distributed AI APIs
Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.
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Pipeshift
Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management.
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