Cloud and DevOps consulting services in India

Ship software with fewer manual steps and a clearer view of production.

Appnautics helps product teams improve cloud architecture, deployment automation, observability, resilience and operating cost. Recommendations are based on the application, traffic, team and risk—not on adding infrastructure tools without a purpose.

AWS and Azure architectureCI/CD and containersMonitoring and incident readinessCloud cost optimization
Cloud operations dashboard connected to software delivery and infrastructure systems.
Cloud & DevOps ConsultingAppnautics Design Lab

What this service solves

DevOps should reduce the time and uncertainty between a code change and a reliable production release. That requires repeatable environments, automated checks, controlled deployment, useful telemetry and clear ownership when something goes wrong.

We assess the current application and delivery path before changing infrastructure. The review covers architecture, environments, secrets, builds, tests, releases, backups, logs, metrics, alerts, database dependencies and cost patterns.

Improvements are prioritized by operational risk and business value. A growing SaaS platform may need deployment consistency and database resilience before it needs a more complex orchestration layer.

Capabilities

What Appnautics can deliver.

The scope is selected around the outcome and current stage—not forced into a fixed package.

01

Architecture and reliability review

Identify single points of failure, scaling limits and operational blind spots.

02

CI/CD implementation

Automate build, test and controlled release workflows across environments.

03

Containers and infrastructure as code

Create reproducible services and version-controlled infrastructure.

04

Observability and alerting

Connect logs, metrics, traces and actionable incident signals.

05

Cloud migration

Plan staged movement of services and data with rollback and continuity.

06

Cost and capacity optimization

Match compute, databases, storage and retention to measured usage.

Applications

Where the capability creates value.

Growing SaaS platforms

Improve release speed, monitoring, capacity and cost as usage increases.

Manual deployments

Replace fragile release checklists with controlled automation and rollback.

Production instability

Find bottlenecks, missing signals, dependency risks and recovery gaps.

Cloud cost pressure

Understand spend drivers and prioritize changes without weakening reliability.

Delivery path

A clear sequence with decisions at every stage.

01

Assess

Review application architecture, environments, deployment, data and operations.

02

Prioritize

Rank improvements by risk, impact, effort and dependency.

03

Automate

Implement repeatable infrastructure, testing and delivery where it creates value.

04

Observe

Create useful dashboards, alerts, runbooks and ownership.

05

Improve

Review incidents, performance, capacity and cloud cost over time.

Technology

Selected for the system—not for a trend.

The final architecture depends on users, environment, integrations, security, support and product lifetime. Relevant experience includes:

AWSAzureDockerGitHub ActionsGitLab CIJenkinsNginxInfrastructure as codeOpenTelemetryCentralized logging
Frequently asked questions

Useful answers before the first discussion.

Can you review our existing AWS setup?

Yes. We can assess architecture, security boundaries, scaling, deployment, observability, databases, backups and cost patterns.

Do we need Kubernetes?

Not necessarily. We recommend orchestration only when the workload and operating model justify its added complexity.

Can you reduce cloud cost?

We identify cost drivers and practical changes such as rightsizing, schedules, retention, storage tiers, database design and architecture improvements. Savings depend on actual usage.

Do you provide ongoing DevOps support?

Yes. Support can cover releases, monitoring, incidents, security updates, capacity planning and continuous infrastructure improvement.

Can you improve deployment without rewriting the application?

Often yes. Build, test, configuration, release and observability can usually be improved in stages around the existing application.

Planning a cloud & devops consulting project?

Share what must change, who will use it and what constraints are already known.

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