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AWS Cloud Solutions

Design, deploy, and optimize on AWS, EC2, ECS, Lambda, RDS, S3, and CloudFront.

  • EC2, ECS, Lambda, RDS, S3, and CloudFront sized for actual traffic.
  • Infrastructure as code you can hand to another team.
  • Bill review and rightsizing as a first-week win.
  • Staging that mirrors production secret layout.
  • Pragmatic about managed services over premature Kubernetes.
40+ projects since 2022 IST · daily sync NDA-ready
View featured case study
Founder-led team · Surat, India · English-first delivery
WHAT WE OFFER

What we deliver for aws cloud solutions

Core deliverables

  • Infrastructure as code
  • CI/CD pipelines
  • Auto-scaling & monitoring
  • Cost optimization reviews
  • Disaster recovery planning

Why teams choose this engagement

  • Infrastructure as code and environment parity
  • CI/CD pipelines and automated test gates
  • Monitoring, alerting, and runbooks
  • Security hardening and access reviews
CHALLENGES

Problems we solve in aws cloud solutions

  • AWS bill grows faster than revenue

    Idle instances and unbounded autoscaling hurt margins. We right-size with observability and scheduled reviews.

  • Infrastructure lives in the console

    Manual changes without IaC mean rollback is guesswork. We put environments in version control with documented steps.

  • Single region with no DR story

    Enterprise buyers ask about backups and failover. We document RPO/RTO options before contracts, not after an outage.

  • Secrets scattered across repos

    Production keys in env files and Slack threads create audit risk. We centralize secrets with rotation plans.

OUR APPROACH

How we build aws cloud solutions

Founder-led engineers in Surat (IST) with morning and end-of-day updates so distributed product owners stay in the loop.

AWS bills and architecture mistakes show up months after launch. We design for your actual traffic, EC2, ECS, Lambda, RDS, S3, CloudFront, and leave you with IaC you can hand to another team if needed.

We are pragmatic about managed services: not every product needs Kubernetes on day one.

Startups moving from a single server to production-grade AWS infrastructure.

AWS

Infrastructure in version control

We design EC2, ECS, Lambda, RDS, and CloudFront stacks with IaC, staging parity, and cost visibility before you scale traffic or team size.

  • Terraform or CloudFormation with reviewed changes
  • Staging mirrors production secret layout
  • Cost dashboards and right-sizing recommendations
RESILIENCE

Backups and DR documented

AWS without runbooks becomes tribal knowledge. We write restore drills, on-call access, and promotion paths your team can follow without us in the room.

  • Backup and restore tested on staging
  • Monitoring and alerts routed to named owners
  • Disaster recovery options scoped to your stage
INDUSTRIES

Where we apply aws cloud solutions

Vertical experience from shipped products, not generic claims.

WHY US

Why teams choose us for aws cloud solutions

Six reasons founders and product leads pick us over a generalist shop - scoped to how we deliver this engagement.

  • Cost-aware design

    We right-size before you commit to three-year reserved instances.

  • IaC in the repo

    Changes reviewed in PRs, not one-off console clicks.

  • Compliance conversations early

    HIPAA- or SOC-minded patterns when you need them.

  • Handover-friendly

    Diagrams, access lists, and runbooks included.

  • Right-sized AWS

    Observability and cost reviews when autoscaling and idle resources grow.

  • Security-minded access

    Least-privilege IAM and reviewed changes, not shared root console logins.

HONEST FIT

Is this for you?

Good fit

  • You are moving from a single VPS to production AWS.
  • Your bill grew faster than your revenue and you need a second opinion.
  • You need HIPAA- or SOC-friendly patterns discussed early.
  • You want IaC and runbooks your next hire can follow.
  • You need a second opinion on bill growth vs revenue.
  • You are moving from a single VPS to production AWS.

Probably not

  • You want multi-cloud for theory, not business need.
  • You want multi-cloud for theory, not business need.
  • You need someone to click around the console with no documentation.
  • You have no owner for ongoing cost and security reviews.
HOW WE WORK

Delivery process for aws cloud solutions

How we move workloads to AWS with IaC and rollback plans.

We inventory current infra, access patterns, deploy pain points, and console-only changes. Tribal knowledge captured before we propose IaC or pipeline work.

  1. Account audit

    We inventory current infra, access patterns, deploy pain points, and console-only changes. Tribal knowledge captured before we propose IaC or pipeline work.

  2. Target architecture

    Terraform or CloudFormation layout, CI/CD stages, and secret management agreed upfront. Plan output reviewed on every infra PR - no surprise production diffs.

  3. Implement in IaC

    Dev and staging environments mirror production layout, secrets, and queue topology before live traffic. Smoke tests run on promote, not only on merge.

  4. Operate and optimize

    Metrics, alerts, and runbooks configured and reviewed with your on-call before go-live. Pager routing and Slack hooks tested on staging incidents.

TECHNOLOGIES

Stack for aws cloud solutions

Tools and runtimes we use on this type of engagement - chosen for production delivery, not slide-deck logos.

  • AWS
  • Docker
  • PostgreSQL
  • Redis
WORKFLOW

How we work on aws cloud solutions

  • GitOps flow

    Infra changes via PR with plan output reviewed.

  • Alert routing

    Pager and Slack hooks agreed before go-live.

  • Runbooks

    Rollback and access docs kept next to the repo.

  • Release coordination

    Deploy windows aligned with your product team.

DEPLOYMENT

Production discipline for aws cloud solutions

  1. Staged promote

    Dev → staging → prod with automated smoke tests at each gate. No direct console edits on production without a tracked change.

  2. K8s health checks

    Readiness probes, liveness probes, and HPA limits configured before traffic. Resource requests sized from staging load, not guesses.

  3. Secrets management

    No plaintext keys in repos, build logs, or Slack. Rotation path documented; staging uses the same secret layout as prod.

  4. Observability

    Metrics, traces, and logs wired before launch - not after the first outage. Alert thresholds reviewed with whoever carries the pager.

OUTCOMES

Track record from aws cloud solutions

Metrics from shipped products and active engagements - not slide-deck claims.

40+
Deploy pipelines built
IaC
Infra in version control
IST
Morning & EOD sync
Runbooks
Before production traffic
CASE STUDIES

Proof from aws cloud solutions

Real products we shipped for founders in the US, UK, and Europe.

Engineering leads ask whether we deploy with rollback docs and staging parity - not one-off console changes before a Friday release.

  • Deploys are still manual

    Production systems below run on CI/CD and documented rollback - not console clicks.

  • Alerts fire with no runbook

    We wire observability and handover docs before traffic hits production.

  • Staging never matched prod

    Featured work shipped through staged promotion with parity checks.

AstroSure.ai - SparkScribe Technologies case study AI & ML · SaaS
Consumer AI 8 months

AstroSure.ai

AI-powered astrology platform with personalized daily guidance

What they needed: The founders had a notebook demo but needed a production LLM pipeline with cost controls, human review, and staging parity before investor diligence.

Our approach: Before build, SparkScribe worked with AstroSure to translate their SaaS Product goals into an actionable plan — not an off-the-shelf template.Discovery & planningWorkshopped birth-chart, daily reading, panchang, kundli matching, and Agastya chat flows against latency …

An astrology platform powered by LLMs - personalized horoscope readings, panchang insights, and conversational guidance through a branded AI assistant.

  • 3× faster reading generation
  • 99.2% API uptime in production
  • Python
  • Django
  • OpenAI
  • PostgreSQL
  • Redis
  • React
  • AWS
View case study
Explore all case studies
Hire us

Engagement models for aws cloud solutions

AWS cloud work via fixed-scope migration, optimization sprints, or ongoing retainer hours.

  • Fixed-scope project

    Discovery, written requirements, and milestone billing. Best for MVPs, redesigns, and integrations with a defined end state.

    • Duration: Phased milestones
    • Working: Sprint plan agreed upfront
    • Billing: Per milestone or phase
    • Timeline: Based on signed scope

  • Dedicated squad

    A focused engineering squad on your product: weekly demos, shared backlog, and one accountable team when scope evolves.

    • Duration: 8 hrs/day · 5 days/week
    • Working: ~160 hrs/month capacity
    • Billing: Monthly invoice
    • Timeline: Sprint-based delivery

  • Part-time retainer

    Smaller monthly hour buckets for fixes, dependency updates, and enhancements, with the same engineers when possible.

    • Duration: 4 hrs/day · 5 days/week
    • Working: ~80 hrs/month
    • Billing: Monthly retainer
    • Timeline: Ongoing support window
Mutual NDA before codebase access Morning & EOD IST sync Written scope before sprint one
FAQ

Questions about aws cloud solutions

What prospects ask on a first call about this service: scope, timelines, fit, and how we work.

  • Scope & pricing
  • Delivery process
  • Handover & IP
  • NDA & quality gates
  • Written scope before sprint one milestones, owners, and what stays out of v1 are documented before build starts.
  • Weekly staging demos with the engineers writing your features, not a status deck relay.
  • Your IP in the contract code, designs, and docs transfer to you on agreed milestones.
  • Mutual NDA upfront before you share product details, credentials, or repository access.

5 questions

Do you design AWS architecture for our traffic or copy a reference diagram?

We size for your workloads, cost targets, and compliance needs. Diagrams tie to services you will actually operate.

Can you reduce an AWS bill we already think is too high?

We audit idle resources, rightsizing, and data transfer first, then implement changes with before/after metrics.

How do you handle secrets and IAM on AWS projects?

Least-privilege roles, no long-lived keys in repos, and documented rotation steps in the handover pack.

Do you support multi-environment AWS setups?

Yes. Dev, staging, and production with parity on the paths that break releases when they drift.

What is included in AWS handover?

Architecture diagram, runbooks, cost notes, and access list so your team or MSP can operate day two.

GET STARTED

Moving workloads to AWS? Let's plan the cutover.

Describe current hosting, compliance needs, and downtime tolerance. We design VPC layout, IAM, backups, and staging parity before production migration.

  • IaC and runbooks your team can follow.
  • Post-migration support options available.