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Relevance Lab has a Systems Integration, Technology and Reselling partnership with ServiceNow. We are also one of the select few implementation partners for their newly launched DevOps product and its Early Adopter Program.

Under the Early Adopter Program, Relevance Lab has controlled early access to training, enablement content on new ServiceNow products. Partners accepted into this Program are trained to sell and implement the new product(s) prior to worldwide general availability.

ServiceNow DevOps is built on a powerful and intelligent data model using out-of-the-box integrations to the tools that developers already use today like Jira, GitHub, Jenkins and Azure DevOps. It can collect and connect information from across the DevOps toolchain to solve some of the hardest scaling problems. ServiceNow DevOps enables you to accelerate changes while ensuring effective and transparent risk management. This can make change management transparent to developers which helps to make development teams more productive while increasing employee and customer satisfaction.

Key Features:

  • Pipeline Modeling: Model your DevOps pipelines in ServiceNow for simpler management of the process and end-to-end visibility.
  • Integrations: Out-of-the-box integrations to your existing DevOps toolchain to collect lifecycle events and data, saving time and integration maintenance expense.
  • DevOps Insights: Surface shared insights through reporting and analytics that provide operational and business insights to improve collaboration and communication.
  • Change Acceleration: Automatically create Change Requests for stages under change control. There is a DevOps Change Workflow and DevOps Change Approval policy to enable automating DevOps change approvals.

Find out more at

Relevance Lab continues to expand its DevOps specialization by adding ServiceNow DevOps to its portfolio of automation technology expertise, with this addition we will be able to further enhance the software delivery infrastructure for our customers leading to faster and better release rollouts. We are also investing in developing additional integrations to the ServiceNow DevOps platform with tools like Harness and Chef.

For more details, please feel free to reach out to


2020 Blog, Cloud Blog, RLCatalyst Blog, Blog, Featured

The adoption of Cloud and DevOps has brought changes in large enterprises around the traditional management methodology of Infra, Middleware and Applications lifecycle. There is a continuous “tension” to achieve the right balance between “security + compliance” vs “agility + flexibility” between Operations and Development teams. For large enterprises with multiple business units and global operations and having distributed assets across multiple cloud providers, these issues are more complex. While there is no “silver bullet” that can solve all these issues, every enterprise needs a broad framework for achieving the right balance.

The broad framework is based on the following criteria:

  • IT teams predominantly define the infrastructure components like images, network designs, security policies, compliance guardrails, standard catalogs etc. based on the organization’s policies and requirements.
  • Application teams have the flexibility to order and consume these components and to manage post provisioning lifecycle specific to their needs.

The challenge being faced by larger enterprises using multiple cloud workloads is the lack of a common orchestration portal to enable application teams to have self-service requests and flexible workflows for managing workload configuration and application deployment lifecycle. The standard Cloud management portals from the major cloud providers have automated most of their internal provisioning processes, yet don’t provide customers system-specific solutions or do workload placement across various public and private clouds. In order to serve the needs of Application groups a portal is needed with following key functionalities.

  • The self-service portal is controlled via role-based access.
  • Standard catalog of items for Infrastructure Management.
  • Flexible workflow for creating a full lifecycle of configurations management.
  • Microservices-based building blocks for consuming “INFRASTRUCTURE AS A CODE” and manage post provisioning lifecycle.
  • Ability to monitor the end to end provisioning lifecycle with proper error handling and interventions when needed.
  • Governance and management post provisioning across multiple workloads and cloud services.

Relevance Lab has come up with a microservices-based automation solution which automates enterprise multi-cloud provisioning, pre and post, provisioning workflows, workload management, mandatory policies, configurations, and security controls. The end to end provisioning is automated and made seamless to the user by integrating with ServiceNow, Domain server, configuration servers and various cloud services. There are multiple microservices developed to handle each stage of the automation, making it highly flexible to extend to any cloud resources.

The building blocks of the framework are as shown here:

The IAAC which is maintained in a source code repository can have the cloud templates for a variety of resources.

Resource Platform Automated Process
Compute – VM/Server VMWare, AWS, Azure, GCP Automated provisioning of VMs and the backup VMs
Compute – DB Server VMWare, AWS, Azure, GCP Automated provisioning of the DB servers and Backup servers – Oracle, PostgresSQL, MSSQL, MySQL, SAP
Compute – HA and DR VMWare, AWS, Azure, GCP Automated provisioning of HA and DR servers
Compute – Application Stack AWS, Azure Automated Provisioning of Application stack using CFTs and ARM templates
Network – VPC AWS, Azure, GCP Automated provisioning of VPCs and subnets
Storage AWS, Azure, GCP Automated provisioning of S3 buckets or Blob storage
Storage – Gateways AWS Automated provisioning of storage gateways
DNS Server AWS, Azure Automated provisioning of DNS servers

Getting Started with Hybrid Cloud Automation – Our recommendations:

  • Generate standard cloud catalogue and create reusable automated workflows for processes such as approval and access control.
  • To optimize the management of resources, limit the number of blueprints. Specific features can be provisioned in a modular fashion in the base image.
  • Use configuration management tool like Chef/Puppet/Ansible to install various management agents.
  • Use “INFRASTRUCTURE AS A CODE” principle to provision infrastructure in an agile fashion. It needs tools like Github, Jenkins and any configuration management tool.


  • Significantly reduce the Operations cost by reducing the manual effort and proactive monitoring services using a single platform.
  • Reduced time to market for new cloud services by enabling a single-click deployment of cloud services.

For more details, please feel free to reach out to