Overview of Central Control, Distributed Execution

What is Central Control, Distributed Execution?

The Central Control, Distributed Execution feature provides a seamless, end-to-end approach to managing and optimizing your integrations, ensuring that they are fully compliant with local regulations, data privacy laws, and performance requirements.

The key concepts of Central Control, Distributed Execution are:

• Central Control: Provides a centralized control or management system that oversees the allocation and utilization of resources. It allows you to make informed decisions about resource provisioning, scaling, and distribution based on factors such as workload demands and performance metrics. The Central Control system acts as a single point of control, ensuring that resources are allocated efficiently and according to predefined policies.

• Distributed Execution: Refers to the practice of spreading out tasks or processes across multiple computing resources or nodes (virtual machines, containers, servers) distributed throughout the cloud infrastructure. In this approach, the workload is divided into smaller parts, and each part is run on a separate node. Each resource operates independently and manages its portion of the workload. This leads to better resource utilization, improved performance, and fault tolerance, as the failure of one node does not necessarily affect the entire system. Thus, it allows your cloud environment to efficiently manage varying workloads by dynamically assigning tasks to available resources.

The Central Control, Distributed Execution feature offers centralized control and management as well as provides better scalability, fault tolerance, and efficient resource utilization for your cloud infrastructure.

Central Control, Distributed Execution Components

The main components of Central Control, Distributed Execution capability is:

• Integration Runtimes

• Integration Runtimes Dashboard

Central Control, Distributed Execution Benefits

• Unified view: Provides a single view to administer and monitor integrations, APIs, and data distributed across hybrid and multi-cloud infrastructures.

• Monitor: Enables to monitor and track the entire flow of data and transactions as they traverse through the various integrated components and systems, regardless of their network topology using webMethods End-to-End Monitoring.

• Seamless Tooling: Provides a unified and consistent approach to managing multiple runtimes, regardless of their deployment location. This includes your iPaaS tenant, private cloud, various regions, or even your own data centers. You can eliminate disconnected integration tools that need specialized dev and ops teams.

• Easier regulatory compliance: Enables organizations to be in compliance with data jurisdiction regulations, allowing businesses to manage data within specified regions or ecosystems, thus promoting adherence to data privacy laws.

• Scalability: Facilitates seamless resource scaling without disrupting the existing cloud integration, reducing costs and resource allocation time, optimizing efficiency.

• Enhances Resilience: Minimizes the impact of unpredictable events such as system failures. This cost-effective solution prevents a single server failure from disrupting interconnected networks, reducing the cumulative risk of failure, and eliminating the necessity for backend capacity preparations, enabling agile adaptation.