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Description

The Apprenda Cloud Platform (ACP) equips enterprise IT with the ability to establish a Kubernetes-enabled shared service across various infrastructures, making it accessible for developers throughout different business units. This platform is designed to support the entirety of your custom application portfolio. It facilitates the swift creation, deployment, operation, and management of cloud-native, microservices, and container-based .NET and Java applications, while also allowing for the modernization of legacy workloads. ACP empowers developers with self-service access to essential tools for quick application development, all while providing IT operators with an effortless way to orchestrate environments and workflows. As a result, enterprise IT transitions into a genuine service provider role. ACP serves as a unified platform that integrates seamlessly across multiple data centers and cloud environments. Whether deployed on-premise or utilized as a managed service in the public cloud, it guarantees complete independence of infrastructure. Additionally, ACP offers policy-driven governance over the infrastructure usage and DevOps processes related to all application workloads, ensuring efficiency and compliance. This level of control not only maximizes resource utilization but also enhances collaboration between development and operations teams.

Description

Temporal is an open-source platform designed for the orchestration of microservices, enabling the execution of mission-critical applications at any scale. It ensures that workflows, regardless of their size or complexity, are completed successfully, featuring integrated support for exponential retries and facilitating the definition of compensation logic through native Saga pattern capabilities. Users can specify mechanisms for retries, rollbacks, cleanup actions, and even steps for human intervention in case of errors. The platform allows workflows to be defined using general-purpose programming languages, which offers unparalleled flexibility for creating workflows of varying complexities, especially when contrasted with markup-based domain-specific languages. Temporal also grants comprehensive visibility into workflows that can traverse multiple services, thereby making the orchestration of complex microservices manageable while providing substantial insight into the state of each workflow. This level of visibility stands in stark contrast to ad-hoc orchestration approaches that rely on queues, where tracking the status of workflows becomes nearly impossible. Additionally, Temporal's robust features empower teams to maintain operational resilience and agility, ensuring smoother recovery from failures.