DevOps & Cloud Services in India — Jaipur Studio

AI-powered DevOps, often called AIOps, lines up metrics, logs, and the latest deploy so an alert names a service and a recent change. Where the history is steady, we flag unusual latency or error rate and write how a person confirms that signal before production changes.

Auto-scaling grows and shrinks on a measurement you choose, so idle replicas do not pile up overnight. Assisted response is a runbook, an alert channel, and a short note after the event — not an unattended restart. Cost checks cover idle disks, oversized machines, and logs kept past your retention note. Round-the-clock monitoring is available only when the scope includes the hours and the escalation path.

Cloud cost optimization starts from the bill you already pay. We group spend by account, service, and environment, then mark what is idle, oversized, or left from a forgotten test. Right-sizing matches instance, disk, and database class to measured load, and we write down headroom we would not remove.

Reservations suit a steady baseline. Spot capacity suits jobs that can stop. Cleanup of unattached disks, old snapshots, and unbounded logs is often the first change that does not touch traffic.

Kubernetes management covers how a release is deployed, how it scales, how you know it is unhealthy, and how a node loss does not take the service with it. On AWS we use EKS, on Azure AKS, and on Google Cloud GKE, unless you already run Kubernetes and want that kept. Namespaces, resource requests, and a documented upgrade path matter more than a long add-on list.

A single site or a small API is often calmer on a managed container service or a virtual machine, and we will say so. When a cluster is justified, spread workloads across nodes and back up data the cluster does not protect. See website development when you are shipping the site.

CI/CD automation is the path from a merged change to a running environment, with tests and approvals your team will keep. We pick one system and document it: GitHub Actions when the code is on GitHub, GitLab CI when it is on GitLab, Jenkins when you already operate it, and Argo CD when the target is Kubernetes and the cluster should reconcile to Git.

A useful pipeline has staging, tests that fail the build, and production from a protected branch. Secrets stay out of the repository. If we also build the app, see custom software development. The React Server Components note covers the HTML those builds should ship.

DevSecOps here means checks inside the way you already build and host. We review who can reach production, how keys are stored, and whether images and dependencies are scanned before they deploy. Findings are a list with an owner, a severity, and the change that would close the item. Compliance monitoring repeats that list for security groups, public buckets, and admin roles.

We can support ISO 27001 or SOC 2 readiness by mapping gaps in access, logging, and vulnerability handling. That is not a certification, and we do not issue those certificates. Product AI features live under AI development.

Infrastructure as code describes networks, accounts, and servers in files that go through review. Terraform is the usual choice across AWS, Azure, and Google Cloud. Pulumi fits when the team would rather use a language it already knows. Ansible configures virtual machines and Linux hosts that the cloud API does not finish alone.

We import or rewrite what you have into small modules, and we keep state where the team can lock and back it up. A change is a pull request, a plan you can read, and an apply that is not a surprise. Environments stay separate so a staging experiment cannot edit production. Hand-built extras are folded into the code or listed as known drift.

Cloud migration moves an application, its data, and its operators onto AWS, Azure, or Google Cloud. The order is inventory, a target design, a rehearsal, and a cutover window you have agreed. Minimal downtime means we shrink the cutover. We do not promise a silent switch. Databases are usually the long pole: a replica, measured lag, and a moment to stop writes.

The provider follows a contract, a data-residency note, or the cloud your team can run later. Lift-and-shift is fine when you are leaving an ageing host. Business modernization fits a replacement. Ecommerce development covers the store if that is the workload.

Managed DevOps continues after the first pipeline and environment are in place. We watch the alerts you named, keep the pipeline able to ship, apply updates listed in the scope, and send a short note on cost and capacity. The cloud account and the repositories stay yours. Access can be revoked.

A one-time setup ends at the handover. Many teams implement first and add management once staging is stable. Coverage outside Jaipur hours — Monday to Saturday, 10:00 to 19:00 — including a 24/7 paging path, is written into the scope when you need it. We do not imply a response time we have not agreed. Broader application care is on the managed IT page.

CI/CD, Kubernetes and cloud for teams across India, from the Jaipur studio, starting with a free infrastructure audit. Related: custom software when the product still needs building; on-demand when you need a named engineer inside your sprint.

CI/CD (GitHub Actions, GitLab CI, Jenkins, Argo CD), infrastructure as code (Terraform, Ansible), Kubernetes where it earns its keep, DevSecOps readiness (secrets, SAST, dependency pinning — not an ISO certificate), FinOps / cloud cost reviews, AWS/Azure/GCP migration, and managed DevOps after go-live. See the in-page sections for each.

The audit is free. Project plans already published on pricing start at ₹1,00,000 (Basic), ₹2,50,000 (Standard) and ₹5,00,000 (Premium). Monthly retainer bands are not published on this page; they follow the audit.

A full-time DevOps hire in India is a salary, tools and on-call load. Managed DevOps is a scoped engagement with a named Jaipur lead. We do not publish competitor salaries. Compare the audit + published plan against your own hiring budget.

The free audit lists idle resources, missing autoscaling, orphaned volumes and obvious region mistakes. We do not publish a before/after rupee figure until a client allows a named result. Indian regulated workloads can be placed in India regions you name; localisation and incident reporting sit under RBI (for regulated entities) and CERT-In. We are not a compliance auditor.

Days 1–30: audit, access, a first pipeline or cost cut that does not touch production blindly. Days 31–60: IaC for the environments you actually run, monitoring, secrets. Days 61–90: migration slice or managed handover. The written plan after the audit is the contract, not this paragraph.

Named people on the team page: Amardeep, CEO; Manvender, Project Manager; Anjali and Ajay, back-end developers. Cloud certifications (AWS, Azure, CKA) are not listed in this repo, so they are not claimed here.