Dynatrace has patented a technology for automated risk analysis in deploying software updates in complex microservice architectures. The method involves analyzing dependencies and versions in test and target environments, ranking successful test setups, and generating a deployment plan to ensure a functional target environment after each step. GlobalData’s report on Dynatrace gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Dynatrace, Hybrid cloud mgmt was a key innovation area identified from patents. Dynatrace's grant share as of May 2024 was 46%. Grant share is based on the ratio of number of grants to total number of patents.
Automated risk analysis for software component deployment in microservice architectures
A recently granted patent (Publication Number: US12010188B2) outlines an automated deployment method for deploying a computer service into a distributed computing environment. The method involves receiving a deployment request, identifying call dependencies between services, comparing versions, and providing deployment recommendations based on version differences. The deployment recommendation service selects a test environment, retrieves test records, and quantifies version differences to determine the best deployment configuration. Recommendations can range from deploying with caution to recommending against deployment based on version disparities with other services in the target environment.
Furthermore, the patent details the creation of a deployment plan that ensures backward compatibility of services in the target environment. It also includes a process for creating a reverse topological order for services with call dependencies, identifying services with higher versions in the test environment, and incorporating them into the update sequence. The patent also covers scenarios where deployment requests are rejected if the candidate service's version is equal to or lower than the corresponding service in the target environment. Overall, the method aims to streamline the deployment process by considering version compatibility, call dependencies, and test outcomes to provide efficient and effective deployment recommendations for computer services in distributed environments.
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