Workflow Engine for Complex Application Lifecycle Management
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Solution Overview
Problem
The deployment and lifecycle management of complex computing systems are challenging due to inefficiencies in time and resource usage, with existing technologies struggling to maintain portability and reduce operator error across multiple computing environments.
Innovation Solution
An integrated system is developed for simple, flexible packaging, distribution, and reliable execution of complex applications, utilizing workflows specified in a portable manner using YAML and tightly integrating a workflow engine with an application engine, artifact management, and a configuration database to improve portability and lifecycle management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex computing systems are deployed across multiple environments, then versatility and adaptability improve, but operator error and management complexity increase
Solution Approach 1:
The system segments complex applications into containerized microservices that can be independently deployed and managed. Each container encapsulates specific functionality, allowing granular control and simplified management across multiple environments while maintaining portability.
Solution Approach 2:
The patent introduces an intermediary management layer that abstracts the complexity of multi-environment deployment. This layer provides standardized interfaces and automation tools that mediate between the complex underlying infrastructure and the simplified user interaction, reducing operator error.
2Ease of operation
If manual deployment processes are used, then flexibility is maintained, but time consumption and resource usage increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring container images and deployment manifests during the build process. This advance preparation enables rapid deployment across multiple environments without manual intervention, reducing deployment time while maintaining flexibility through configurable parameters.
Solution Approach 2:
The deployment system implements self-service capabilities through automated configuration management and self-healing orchestration. The system automatically adjusts deployment parameters and recovers from failures without human intervention, eliminating time-consuming manual operations while preserving operational flexibility.
3Reliability
If existing deployment technologies are used, then some portability is achieved, but operator error and inefficiency persist
Solution Approach 1:
The system implements comprehensive feedback mechanisms that monitor deployment status, resource utilization, and system health in real-time. This feedback enables automated error detection and correction, reducing operator error while improving execution reliability through continuous verification and self-adjustment.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for maintaining an application through an execution platform. An example method generally includes receiving a first workflow definition of a plurality of workflow definitions associated with an application. The first workflow definition may be a workflow defining a build operation for building the application. The first workflow definition is executed to build the application by retrieving an executable binary from a binary repository, retrieving source code for the application binary from an application source code repository, building the application binary by executing the executable binary on the retrieved source code, and storing the application binary in the binary repository. A second workflow definition is received to execute the application. The second workflow is executed to execute the application by retrieving the application binary from the binary repository, and executing the retrieved application binary to run the application.