Prominent AI Services LLP
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DevOps Services

Hire DevOps Engineers from Prominent AI Services LLP

What Are DevOps Services?

DevOps services automate and improve how software is built, tested, released and run. That covers CI/CD pipelines, infrastructure as code, containers, monitoring, security and cloud cost control, so teams release more often with fewer failures.

Our DevOps engineers help you release software faster and more reliably. We design CI/CD pipelines, automate cloud infrastructure with Infrastructure as Code, containerise applications and set up monitoring, so your team can focus on building features instead of firefighting.

AI services delivering measurable business impact

Benefits Our Services

DevOps shortens release cycles, reduces failures and lowers infrastructure costs through automation.

We work with Azure DevOps, GitHub Actions, Terraform, Docker, Kubernetes and leading monitoring tools, and extend DevOps practices to machine learning with MLOps.

Business problems DevOps solves

  • Releases are slow and risky. Automated pipelines build, test and deploy every change the same way, cutting release time and errors.
  • Environments differ. Infrastructure as code creates identical development, test and production environments.
  • Outages are found by users. Monitoring, logging and alerts reveal problems early and speed up recovery.
  • Cloud bills keep rising. Right-sizing, autoscaling and cost monitoring reduce waste.

DevOps use cases by industry

  • Financial services: controlled, auditable release pipelines with security checks.
  • Healthcare: reliable, compliant environments for patient-facing systems.
  • Logistics: always-on tracking and integration services with fast recovery.
  • Media and entertainment: scalable platforms that handle traffic peaks.
  • Telecom: automated deployment of data and analytics platforms.

DevOps tools and platforms we use

We use Azure DevOps, GitHub Actions and GitLab CI for pipelines; Terraform, Bicep and AWS CDK for infrastructure as code; Docker, Kubernetes (AKS, EKS) and Helm for containers; Azure Monitor, Application Insights, CloudWatch, Prometheus and Grafana for observability; and Key Vault, Defender for Cloud and dependency scanning for security, on Azure and AWS. For machine learning we extend these practices with MLOps.

How we deliver DevOps projects

  1. Assessment: we review your source control, build, release, infrastructure, monitoring and costs.
  2. Roadmap: we prioritise improvements by impact and effort.
  3. Automate: CI/CD pipelines and infrastructure as code are built step by step.
  4. Observe and secure: monitoring, alerting, security scanning and backup are put in place.
  5. Hand over or operate: we train your team or continue running the platform for you.

How you can work with us

Choose a fixed-scope DevOps project, ongoing managed operations, or hire DevOps engineers for your team. DevOps supports our software development and cloud AI integration work, and our IT support plans.

Why choose Prominent AI for DevOps

  • Hands-on experience across Azure and AWS.
  • Security and cost control built into every pipeline.
  • Incremental improvements without disrupting releases.
  • Knowledge transfer so your team can run what we build.

Want faster, safer releases? Tell us about your current set-up, and we will propose a DevOps roadmap. Start your AI journey.

Last updated: October 2026 · Prominent AI Services LLP engineering team

Cloud-ready technology solutions
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Most Common Questions?

Answers to the questions our clients ask most often about our DevOps Services services.

Which DevOps tools and clouds do you support?

We work with Azure, AWS, Azure DevOps, GitHub Actions, GitLab CI, Jenkins, Terraform, Docker and Kubernetes, and recommend the right toolchain for your team.

Share your requirements through our contact form or email biz@prominent.tech. We will schedule a short call and send a detailed proposal with scope, timeline and cost, usually within a few business days.

Yes. We offer flexible support and maintenance plans covering bug fixes, monitoring, updates and enhancements after launch.

Yes. You can hire dedicated AI, data and software engineers who work as an extension of your team on a monthly engagement.

Call us on +91-96974 96976, email biz@prominent.tech or use the contact form on this page, and our team will get back to you promptly.

Cost depends on the number of applications, environments and clouds. An assessment and first pipelines are usually a fixed-price project; ongoing operations are priced monthly.

A CI/CD pipeline for one application typically takes one to three weeks. A full DevOps transformation is delivered step by step over a few months.

Yes. We review usage, right-size resources, add autoscaling and reservations, remove waste and set up cost alerts and reporting.

Yes. We apply MLOps practices, including model versioning, automated training and deployment, and monitoring for model drift.

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