DevOps is a combination of software development and operations best practices. It deploys a range of tools and technologies to streamline the software development, deployment, and operations processes. 

 

Automated DevOps Pipeline helps achieving;

• Helps achieving faster, more reliable, and more frequent software releases

• Reduces errors and risks

• Improves collaboration between development and operations teams

• Enhances the overall software development lifecycle

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Indic Data Labs is expert in creating the automated pipeline for the entire process of software development, testing, deployment, monitoring, and troubleshooting. The automated pipeline consists of following major stages of the software development lifecycle;

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• Source Code Management:

  • Git

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• CI-CD (Continuous Integration and Continuous Delivery)

  • Continuous Integration

    • GitLab: Git Client

    • Jenkins: Build, Test, Static Scan, Artifactory Publishing

  • Continuous Deployment​

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• IaC (Configuration Management and Infrastructure as Code)

  • Ansible

  • Chef

  • Puppet

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• Containerization and Orchestration:

  • Docker

  • Kubernetes

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• Infrastructure as Code (IaC) and Cloud Provisioning:

  • Terraform

  • AWS CloudFormation

  • Azure Resource Manager

  • Google Cloud Deployment Manager

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• Monitoring and Logging:

  • Prometheus

  • ELK (Elasticsearch, Logstash, and Kibana) Stack

  • Datadog