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Intelligent Deployments For Azure DevOps

Azure DevOps is a set of development tools, services, and features to enable teams to plan, develop, deliver, and maintain software. These services include and are not limited to version control, automation for build and deployments (Azure destinations only), collaboration, test and progress tracking.

OpsMx Intelligent Software Delivery (ISD) with its powerful orchestration capability eliminates some of these limitations and enables enterprises to transform their continuous delivery process by enabling the following key capabilities on top of what Azure has to offer.


OpsMx ISD compliments Azure DevOps and co-exists with it to address some of the limitations around scalability and ease of use, and brings significant automation and intelligence to the deployments triggered by Azure DevOps. Some of these value additions include but are not restricted to the following.

Security, Governance and Compliance Automation

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 apply security checks at each stage (pipeline, code, and infra). Examples: Release software only when there are no P1 or P2 open, Deploy only when static code analysis has passed, etc.

Smart Gitops

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.

Ease of use, Unified Dashboards, Dora Metrics

Besides the no-code, no-script approach, ISD offers an intuitive UI with a self-service model for developers and engineers alike. Dashboards provide actionable intelligence as well as performance insights and pin-point areas of improvements for end to end process. With out-of-the-box integration and setup capabilities, a minimum learning curve is required to get started with production ready pipelines and deployments.


Getting Started with Production Pipelines in Minutes

With its reusable template based approach, ISD helps engineers in getting started with production ready pipelines quickly. The intuitive UI helps you to quickly connect to your DevOps assets including those on Azure DevOps as well as setting up target destinations with easiest of configurations.

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. The interoperability within OpsMx ISD and Azure pipelines also gets you the ability to monitor the progress and status of Azure pipelines within a unified dashboard offered by OpsMx ISD.

No Code Hybrid-cloud On-demand Deployments

Hybrid-cloud requires scripts for cloud-native deployments, but ISD (using Argo or 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.

Delivery Orchestration with Automated Pipelines

Out-of-the-box Advanced 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-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. 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.

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.

Key Benefits


Improve new application provisioning speed by 90%

48hrs today to 4hrs by automate building the images reducing manual effort for selecting binaries and building image

Eliminate production errors by 80%

Immutable servers with exact tested images promoted from staging to production and configuration in version control system.

Faster and Safer Deployment

Eliminate feature overlap and balance licence costs

Flexible licensing policy to cut down infra and licence overheads and accommodate the expense from existing budget or minimal overhead to get started


Improve deployment success rates to 99%

Easy rollback due to immutable server configurations, automated verification, promoting a fully tested binary image with only config changes

100% Compliant and Audit Ready Delivery Process

48hrs today to 4hrs by automate building the images reducing manual effort for selecting binaries and building image

Faster and Safer Deployment

Reduce diagnostic time by 30%

Visibility into deployments across multiple groups, share status and reports with RBAC

Faster and Safer Deployment

Improve productivity and optimize overall cost by 40%

Eliminate overlapping features and functionalities of Azure DevOps that are extremely human intensive, time consuming, and error prone.


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