Optimized compilation of pipelines for continuous delivery of services on datacenters configured in cloud platforms

Abstract

Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives pipeline templates including templating expressions that can be substituted with values for generating pipelines. A pipeline can be executed to perform a set of actions associated with continuous delivery of a software artifact. The system stores sets of partially hydrated pipeline templates. The partially hydrated pipeline templates can be compiled into executable pipelines associated with services configured on a datacenter of a cloud platform. The system stores different versions of pipeline templates as deployment packages. The system stores version pointers that identify specific deployment packages that are selected when a software release is deployed. The version pointers allow the deployment package to be updated in case of roll back or for deploying more recent changes.

Description

BACKGROUNDField of Art[0001]This disclosure relates in general to continuous delivery of software artifacts in cloud computing platforms, and in particular to management of versions of pipeline templates used for managing software releases on cloud computing platforms.Description of the Related Art[0002]Organizations are increasingly replying on cloud platforms (or cloud computing platforms) such as AWS (AMAZON WEB SERVICES), GOOGLE cloud platform, MICROSOFT AZURE, and so on for their infrastructure needs. Cloud platforms provide servers, storage, databases, networking, software, and so on over the internet to organizations. Organizations maintain cloud infrastructure on cloud platforms using continuous delivery platforms that can manage and deploy applications on cloud platforms. Such continuous delivery platforms allow organizations to simplify software deployment process and manage applications, firewalls, clusters, servers, load balancers, and other computing infrastructure on t...

AI Technical Summary

Problems solved by technology

However, deploying software releases for services provided on a cloud platform using a continuous delivery platform can be complex.

As a result, the system may have to manage several hundred thousand pipelines.

Managing pipelines for such a system can be a time consuming and computation intensive process.

As a result, it is difficult to track the changes made to such pipelines.

If a change results in issues in deployment of certain software artifacts or services, tracking the exact modification that resulted in the issue can be a cumbersome and error prone task.

This results in high maintenance cost for supporting and tracking changes to software releases on cloud platforms.

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