Dynatrace. has been granted a patent for a technology that automates risk analysis in deploying software updates within microservice architectures. The method evaluates dependencies and version differences between test and production environments to generate a deployment plan that ensures functionality after each deployment 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 June 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Automated risk analysis for software deployment in microservices
The patent US12010188B2 outlines an automated deployment method designed to facilitate the deployment of a computer service within a distributed computing environment. The process begins with a deployment recommendation service receiving a request that includes an identifier and version number for the candidate service. The service then identifies call dependencies between the candidate service and other services in the target environment by utilizing a topology model. It compares the versions of these dependent services in a test environment against those in the target environment, ultimately providing a deployment recommendation based on any version discrepancies identified.
Further enhancements to the deployment method include selecting appropriate test environments based on matching version numbers and previous test results. The method also involves retrieving test records from a repository to assess deployment configurations and their outcomes. Recommendations can vary from advising against deployment to suggesting cautious deployment or proceeding with deployment, depending on the version differences and the nature of the call dependencies. Additionally, the method allows for the creation of a deployment plan that ensures backward compatibility and organizes updates in a reverse topological order, prioritizing services based on their dependency relationships. This structured approach aims to optimize the deployment process while minimizing potential issues related to version mismatches among interconnected services.
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