Intelligent Deployments For GitHub Actions

Github is fairly well adopted by developers for its capabilities around controlling the code / app development progression and versioning. Over a period of time, the community has developed few features for executing deployments and integration, however these features were simple wrappers offering basic functionalities and not helping enterprises that intend to transform their DevOps processes, specifically the deployments.

OpsMx Intelligent Software Delivery (ISD) bridges those gaps and enables enterprises to transform their continuous delivery process by enabling the following key capabilities on top of what Github has to offer.

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No-code Hybrid-cloud Deployments

Hybrid-cloud requires scripts for cloud-native deployments, but ISD (using Argo and Spinnaker) can deploy applications on bare metal, container, VM, or serverless platforms through our integration with all clouds (OpenStack, OpenShift, Kubernetes, Mesos, Docker, vSphere) or public cloud (AWS, GCP, Azure) using pre-defined templates without having the need to write any code.

No-code Deployment Strategies

ISD comes with cloud-native deployment strategies, handles underlying orchestration such as verifying health checks, disabling old server groups, and enabling new server groups. It supports red/black, rolling red/black, A|B, canary deployments strategies out-of-the-box.

AI/ML driven end-to-end pipeline automation

AI-powered Automated Pipelines

ISD offers pipeline or workflow constructs used for deployments of applications and for managing cloud resources. One gets the flexibility to add pre-defined stages like Bake, Find Image, Deploy, Disable/Enable/Resize a server group to perform a series of deployment operations automatically. The intelligence gates within an end-to-end orchestration enables enterprises to automate code-to-cloud deployments without any human intervention.

Smart GitOps

ISD enables out-of-the-box GitOps styles declarative deployments for Kubernetes or multi-destination deployments using Argo and Spinnaker. The intelligence gates allow enterprises to drive the GitOps allowing flexibility in the process yet having tight control, visibility and insights into end-to-end workflow.

Safeguards for Deployment

ISD offers various safeguards types to ensure a new software version can be added and removed safely. From verification of a new release to one-click rollback, if issues are encountered during deployment, to cluster locking for maintaining exclusivity on resources during deployment, you get it all.

Security, Governance and Compliance

ISD offers the ability to insert intelligence gates that leverage static business rule definitions or data driven policy enforcements to help enterprises achieve release autonomy, automate compliance as well as security. Examples: Release software only when there are no P1 or P2 open, Deploy only when static code analysis has passed, etc.

Jenkins Integration for automated bake and deployments to hybrid-cloud

Visibility, Audit and Delivery Supply chain

With its pluggable data integration layer, ISD can fetch data from anywhere in your existing DevOps tool chain and convert it into actionable intelligence to automate approvals or verification stages, or rollback. ISD also helps enterprises be audit ready with audit dashboard and compliance reports available on press of a button.

Continuous Verification

ISD enables enterprises to automate decision making with highest confidence by offering intelligence on tests or deployments leveraging system, application, DB, business-level metrics and logs. ISD analyzes the stats, comparing it with the baseline to determine the verification score used to automate go or no-go decisions. It also analyzes logs out-of-the-box.

Infrastructure Health Check

ISD provides the ability to fetch insights into the health of your application instances, containers, load balancers or firewalls with the ability to kill the offending resource from the dashboard itself instead of rolling back or killing the entire deployment.