Software Crafting
HomeServicesDevOps & Cloud Deployment
devops

DevOps & Cloud Deploymentby SoftwareCrafting

Hostinger VPS deployment, CI/CD, Docker, server configuration and monitoring by SoftwareCrafting, with tested backups and clear operational handover.

No sales calls. Written reply in under 4 working hours.

NDA-Protected
48hr Kick-off
7 Engineers
Founder-led Delivery
SoftwareCrafting DevOps Services

Delivery Time

1-4 weeks depending on infrastructure complexity

Senior deliveryFounder-involved build team
From₹10,000

Service Overview

Our production application servers are hosted on Hostinger. We configure the server, deploy the application, set up HTTPS, monitoring and backups, and document how your team maintains it. We build the deployment and infrastructure layer that lets a team ship confidently several times a day instead of nervously once a fortnight. That means infrastructure defined as code so environments are reproducible and reviewable, continuous delivery pipelines that run tests and deploy without manual steps, and environments that actually match each other so a bug does not appear only in production. We work across AWS, Google Cloud, Vercel, and Kubernetes, and we size the solution to your team: a small team does not need a service mesh, and putting one in front of them creates a system nobody can debug at two in the morning. The operational side matters as much as the pipeline. Deployments are zero downtime with a fast rollback, secrets are managed properly rather than living in environment variables someone pasted from Slack, backups are tested by restoring them, and alerts point to runbooks. We also review cloud spend, which on most accounts has meaningful savings sitting in unused resources and wrong sized instances.

Technologies we use

Hostinger VPSDockerKubernetesTerraformGitHub ActionsGitAnsibleJenkinsAWSGCPNginxLinuxCI/CDGrafanaPrometheusSSLCDN

Key Features

  • Hostinger VPS setup, deployment and production server management
  • AWS cloud deployment and management
  • Docker containerization
  • CI/CD pipeline setup
  • Server configuration and optimization
  • Database optimization and scaling
  • SSL certificate installation
  • CDN setup and configuration
  • Monitoring and alerting systems
  • Backup and disaster recovery
  • Security hardening
  • Performance optimization
  • Load balancing
  • Auto-scaling configuration
  • Log management and analysis
  • Infrastructure as code with Terraform, CDK, or Pulumi
  • Zero downtime deployment with automated health checks and fast rollback
  • Environment parity so defects do not appear only in production
  • Secrets management with rotation and least privilege access
  • Backup strategy verified by actually performing restores
  • Cloud cost review with rightsizing and unused resource cleanup
  • Security hardening across network, IAM, and container images
  • Runbooks and on call setup handed over to your team

Also part of this service

Cloud Infrastructure & Management

We take over the running of cloud infrastructure so your engineers can build product instead of maintaining the platform underneath it. That covers the whole operational surface: infrastructure defined as code so nothing exists that is not reviewable, environments that genuinely match, network and IAM configured to least privilege, patching and upgrades handled on a schedule rather than after an incident, and monitoring that pages a human only when a human is needed. We work across AWS, Google Cloud, and Azure, and we prefer managed services over self hosted equivalents unless there is a specific reason, because the operational cost of running your own database or message broker is usually larger than the licence saving. Cost is treated as an ongoing discipline rather than a one off review: tagging so spend is attributable to teams and features, rightsizing against observed usage, committed use pricing where the baseline is predictable, and non production environments that shut down outside working hours.

  • AWS, GCP, Vercel, and hybrid cloud deployment architecture
  • Docker and Kubernetes setup for scalable workloads
  • Terraform infrastructure-as-code for repeatable environments
  • CI/CD pipelines with staging, preview, and production releases
  • Cost optimization for compute, networking, storage, and databases
  • Monitoring, logging, uptime checks, and alerting
AWSVercelGCPKubernetesTerraform

Observability & Monitoring

We instrument systems so that when something breaks you can find out what and why in minutes rather than by guessing. That means structured logs with consistent fields you can actually query, distributed traces that follow a request across every service it touches, metrics that reflect what users experience rather than what is easy to measure, and alerts tied to symptoms your customers would notice instead of every CPU spike. We build on OpenTelemetry so instrumentation is portable and you are not locked into one vendor, and we work with Grafana, Datadog, Sentry, Prometheus, and the major managed backends. The part teams usually skip is the operational layer: service level objectives with error budgets, dashboards designed for the questions asked during an incident rather than every metric available, runbooks attached to each alert, and an on call rotation that does not burn people out. Instrumentation without those is just more data.

  • OpenTelemetry instrumentation for traces, metrics, and logs
  • Distributed tracing across services, queues, and databases
  • Structured logging with consistent, queryable fields
  • Service level objectives with error budgets and burn rate alerts
  • Dashboards designed around incident questions, not metric inventories
  • Alert rules tied to user visible symptoms
DatadogSentryGrafanaPrometheusLokiOpenTelemetry

Serverless & Edge

We design and build serverless and edge architectures for teams who want to stop paying for idle servers and stop being paged about capacity. That covers Vercel and Cloudflare Workers at the edge, AWS Lambda and Step Functions for backend workloads, and the supporting pieces that decide whether serverless is pleasant or painful: cold start budgets, connection pooling for databases that were never designed for thousands of ephemeral clients, idempotency for retried invocations, and observability that works when there is no server to log into. We are equally willing to tell you when serverless is the wrong shape for your workload. Long running jobs, sustained high throughput, heavy compute, and workloads needing large in memory state are frequently cheaper and simpler on containers. Where the fit is genuine, the payoff is real: scaling to zero, per request billing, and deployment that stops being an operational event.

  • Serverless architecture design on AWS Lambda, Vercel, or Cloudflare Workers
  • Edge middleware for routing, authentication, personalisation, and A/B testing
  • Cold start measurement and reduction through bundling and runtime choice
  • Database connection pooling suited to ephemeral compute
  • Event driven workflows with SQS, EventBridge, and Step Functions
  • Idempotency keys and safe retry behaviour for at least once delivery
Cloudflare WorkersAWS LambdaVercel Edge Functions

Developer Tooling

We build the internal tooling that decides how fast your engineering team can actually move: continuous integration pipelines that finish in minutes instead of an hour, local development environments that a new hire can start on day one, code generation and scaffolding that removes repetitive work, and internal CLIs and dashboards that replace the manual runbook nobody follows correctly. Most teams accumulate this stuff by accident, and the cost shows up as slow builds, flaky tests that everyone reruns, environments that only work on the machine of the person who set them up, and release processes that need one specific engineer. We treat developer experience as measurable: how long from commit to feedback, how long from a new laptop to a running application, how many manual steps between merging and production. We fix the slowest link, measure again, and hand over tooling documented well enough that your team maintains it without us.

  • CI and CD pipeline design and optimization
  • Build caching, test parallelization, and pipeline runtime reduction
  • Monorepo setup and tooling with Turborepo, Nx, or pnpm workspaces
  • Reproducible local development environments with Docker or devcontainers
  • Internal CLI tools for common engineering and operational tasks
  • Code generation, scaffolding, and project templates
ESLintPrettierTurborepopnpmNx

Pricing Snapshot

₹10,000

Starting from ₹10,000 for complete DevOps setup and deployment

  • Model: project
  • Timeline: 1-4 weeks depending on infrastructure complexity
Request Custom QuoteWhatsApp Us
Step-by-step

Our Delivery Process

We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.

01

Infrastructure Assessment

Analyzing current infrastructure and requirements

1-2 days
02

Architecture Design

Designing scalable and secure cloud architecture

2-3 days
03

Environment Setup

Setting up development, staging, and production environments

3-5 days
04

Deployment & Configuration

Deploying applications and configuring services

2-4 days
05

Monitoring Setup

Implementing monitoring and alerting systems

2-3 days
06

Documentation & Training

Providing documentation and team training

1-2 days
Why Us

Why Choose SoftwareCrafting?

  • Ship several times a day instead of once a fortnight
  • Environments that match, so bugs reproduce where you can debug them
  • Rollback in minutes when a release goes wrong
  • Secrets handled properly rather than pasted between people
  • Backups you have proven work, because you restored from them
FAQ

Frequently Asked Questions

Where are SoftwareCrafting production servers hosted?

Our production application servers are hosted on Hostinger. We handle application deployment and server configuration, including HTTPS, monitoring and backup planning. Hosting subscriptions, ongoing maintenance and incident responsibilities are agreed in the project scope.

What cloud platforms does SoftwareCrafting work with?

Our production application servers run on Hostinger. We also work with AWS, Google Cloud and Azure for client-specific infrastructure, migrations and integrations when those platforms fit the project requirements.

Do you provide 24/7 monitoring for deployed applications?

Yes, We set up comprehensive monitoring systems with alerts and can provide ongoing monitoring services for your applications.

Can you help with application migration to cloud?

Absolutely! We can help migrate your existing applications to cloud platforms with minimal downtime and optimal performance.

What security measures do you implement?

We implement comprehensive security measures including SSL certificates, firewalls, access controls, encryption, and security best practices.

Do we need Kubernetes?

Probably not. Kubernetes is the right answer for teams running many services with real scaling and scheduling requirements and the operational capacity to run it. For most product teams, a managed platform such as ECS, Cloud Run, or Vercel delivers the same outcome with a fraction of the operational burden. We will recommend the boring option when it is the correct one.

Can you reduce our cloud bill?

Usually, and often substantially. The recurring findings are oversized instances chosen once and never revisited, storage and snapshots nobody deleted, data transfer costs from architecture that crosses zones unnecessarily, idle non production environments running overnight and at weekends, and no use of committed use or savings plan pricing. We produce a costed list ranked by saving against effort.

How long does a migration to the cloud take?

A straightforward application typically takes four to eight weeks including infrastructure as code, pipelines, and a tested cutover. Systems with substantial data, compliance requirements, or many interdependent services take longer. We usually migrate in stages with the ability to roll back at each one rather than attempting a single cutover weekend.

What happens when something breaks at three in the morning?

Alerts fire on user visible symptoms, each linked to a runbook with concrete first steps, and the deployment pipeline supports rollback without a rebuild. During an engagement we participate in incidents. The intent is that your team can handle the next one without calling us, which is what the runbooks and postmortem process are for.

Can you manage our existing AWS or Vercel setup?

Yes. We can audit and improve your current setup without forcing a migration. Common fixes include environment separation, CI/CD, logging, cost controls, secret management, and safer rollback workflows.

We already have logs. Why is that not enough?

Logs tell you what happened in one service. They do not tell you that a checkout failure started with a slow query in a service three hops away. Distributed tracing connects a single user request across every service, queue, and database it touched, which turns a multi hour investigation into a few minutes of reading one trace.

Which observability platform should we use?

We instrument with OpenTelemetry first, which keeps the choice reversible. From there, Grafana Cloud suits teams wanting open standards and predictable pricing, Datadog suits teams wanting breadth in one product and willing to pay for it, and self hosted Prometheus and Grafana suits teams with the operational capacity. We size the cost against your actual data volume before recommending.

Is serverless actually cheaper?

For spiky, low duty cycle, or unpredictable workloads, usually yes, because you pay per request instead of for provisioned capacity. For sustained high throughput it is frequently more expensive than an equivalently sized container. The break even depends on your request pattern, and we model it with your real traffic numbers before recommending an architecture.

What about cold starts?

They are real but manageable. Bundle size, runtime choice, and dependency weight dominate. A lean function typically starts in tens to low hundreds of milliseconds. Where a path is latency critical we use provisioned concurrency or move that specific path to the edge, and we treat cold start as a budget with a number rather than an unknown.

How much can CI time realistically improve?

It depends what is slow. Pipelines that reinstall dependencies on every run, rebuild unchanged packages, or run the full test suite for a one line change usually improve dramatically once caching, affected package detection, and test parallelization are in place. We measure your pipeline first and give you a specific estimate rather than a generic promise.

Is this worth it for a small team?

Often more so, because a small team feels every hour lost to tooling friction. The calculation is simple: if a slow pipeline costs each of five engineers thirty minutes a day, that is over twelve hours a week. The threshold where this pays for itself is lower than most people expect.
Related reading

Guides that support this service

Practical engineering notes connected to devops & cloud deployment decisions, architecture, and implementation trade-offs.

Hosting and deployment

Our production servers are hosted on Hostinger

SoftwareCrafting uses Hostinger for its production application servers. We handle application deployment, server configuration, HTTPS, monitoring and backup planning. Choose a hosting plan around the application you need to run, the resources it uses and who will maintain it after launch.

Testimonials

Client Success & Reviews

See what our clients say about our DevOps & Cloud Deployment delivery.

"We had a 1-on-1 mentorship session covering everything we needed to get our app live - deploying on a VPS, submitting to the App Store and Play Store, and setting up our cloud infrastructure properly. The session was practical and easy to follow, with clear explanations at each step rather than just theory. We walked away with a real understanding of our deployment pipeline and the confidence to manage it ourselves going forward. Highly recommended for anyone who wants to actually understand their DevOps setup, not just have it done for them."

A

Aman Singh

Client

"Great experience working with the team on Driftload. They built our entire platform - driver app, customer booking app, website, admin panel, and backend server - all working together smoothly. Communication was clear throughout, they understood the complexity of coordinating multiple apps with a shared backend, and delivered everything on time. Highly recommended for anyone needing a full end-to-end platform built right."

D

Dhruv Singh

Client

Ready when you are

Let's build your
next big thing.

Talk to the senior engineer who would build it. Send a short brief and get a written plan and price for your devops & cloud deployment project within 24 hours.

Quick Brief

Start the conversation here

Tell us about your devops & cloud deployment project and we'll reply with a technical response and next steps.

Your Name

Work Email

What do you need help with?

Request a proposal