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Cloud cost optimization for AWS, Google Cloud & Azure

Cloud cost optimization services for AWS, Google Cloud and Azure.

Reduce your cloud bill without hurting performance. Most cloud bills carry waste: oversized servers, full on-demand prices and resources nobody uses. We find it, fix it and keep it from coming back, without slowing your product down.

Where the money goes

Why cloud bills get so high.

The same six patterns show up in almost every account we review.

1

Oversized servers

Instances and databases picked for peak traffic at launch and never resized, using only a small part of their capacity all month.

2

Paying full on-demand prices

Steady 24/7 workloads billed at pay-as-you-go rates instead of commitment discounts.

3

Forgotten resources

Idle VMs, unattached disks, old snapshots, unused IPs and test environments that nobody switched off.

4

Everything in the hottest storage tier

Logs, backups and old uploads kept in premium storage forever, with no lifecycle rules.

5

Data transfer surprises

Cross-zone and internet egress charges, often from serving files without a CDN or chatty services across regions.

6

No owner, no budget

No tags, no budgets and no alerts, so nobody sees the bill until finance asks about it.

Our approach

How we reduce cloud costs.

We pick the practices that fit your workload and your traffic. Not every setup needs all of them.

Right-sizing

Match instance, database and container sizes to real usage data, not guesses.

Idle resource cleanup

Find and remove unused VMs, disks, snapshots, load balancers and IP addresses.

Containers & Kubernetes

Consolidate services that run on separate servers into containers on a shared, autoscaling cluster.

Autoscaling & scheduling

Scale up at peak and down off-peak, and switch dev and staging off at night and on weekends.

Reserved & committed-use discounts

Reserved Instances, Savings Plans and committed use discounts, only for workloads that run steadily.

Spot capacity where suitable

Run batch jobs, CI runners and fault-tolerant workers on spot or preemptible capacity.

Storage tiering & lifecycle

Move cold data to cheaper storage tiers automatically and expire what you do not need.

Data transfer & CDN

Cache at the edge, keep traffic in one zone where possible, and reduce egress.

Database optimisation

Fix slow queries, add caching, right-size replicas and pick the right storage type.

Monitoring, budgets & alerts

Tagging, budgets, anomaly alerts and a regular review, so new waste is caught early.

Every major cloud

Native tools and discounts we use on each cloud.

We work with each provider's own cost tools and discount programmes, so nothing extra to buy or install.

AWS

AWS Certified Solutions Architect

Visibility & recommendations

  • AWS Cost Explorer
  • AWS Budgets
  • AWS Cost Anomaly Detection
  • AWS Compute Optimizer
  • AWS Trusted Advisor
  • Cost Optimization Hub
  • Cost and Usage Reports via AWS Data Exports

Discount programmes

  • Compute Savings Plans
  • EC2 Instance Savings Plans
  • Reserved Instances (EC2, RDS, ElastiCache, OpenSearch, Redshift)
  • EC2 Spot Instances

Architecture levers

  • Graviton (Arm) instances
  • EC2 Auto Scaling
  • S3 Intelligent-Tiering & S3 Lifecycle rules
  • Amazon CloudFront
  • AWS Lambda & AWS Fargate

Example

Example: from separate VPS servers to an autoscaling Kubernetes cluster

An anonymised example of the kind of work we do. Client names and figures stay confidential.

  1. 1

    Before

    The product ran on several VPS servers, each set up and running separately. Every server had to be sized and paid for on its own, whether it was busy or idle.

  2. 2

    Move to Kubernetes

    We moved the services off the separate servers into containers on one Kubernetes cluster, so they share capacity instead of each needing a server of its own.

  3. 3

    Autoscale with demand

    We set up autoscaling so the cluster scales up when traffic peaks and back down again off-peak.

  4. 4

    The result

    Capacity now follows real demand, so you pay for what you use rather than for servers sitting idle, and the services are managed in one place.

How it works

From free audit to a lower bill, in five steps.

  1. Step 1

    Free cost audit

    Read-only access to your billing and usage data. We review 30–90 days of spend across accounts, projects and subscriptions.

  2. Step 2

    Savings report

    A prioritised list of changes with estimated savings, effort and risk for each, in plain language.

  3. Step 3

    Implement

    We make the changes with your team: quick wins first, then architecture work, all tested and reversible.

  4. Step 4

    Monitor

    Budgets, anomaly alerts and dashboards, so you see the effect on every bill.

  5. Step 5

    Review & repeat

    A regular FinOps review to catch new waste and renew commitments at the right size.

Ways to work together

Pick the level of help you need.

Every engagement starts with the free audit. You decide what happens next.

One-time audit

A full review of your bill and architecture, with a written savings report you can act on yourself.

  • Read-only access
  • Prioritised savings report
  • 1-hour walkthrough call
Start with a free audit

Audit + implementation

We audit, then make the changes for you and hand back a cheaper, documented setup.

  • Everything in the audit
  • Changes made and tested
  • Infrastructure as code where it helps
Start with a free audit

Ongoing FinOps & support

Monthly cost reviews, alerts and managed support so the bill stays down as you grow.

  • Monthly cost review
  • Budgets & anomaly alerts
  • Managed cloud support
Start with a free audit

Who does the work

Certified on all three major clouds.

Prakash Tank leads every cloud engagement personally.

  • AWS Certified Solutions Architect Amazon Web Services, 2024
  • Professional Cloud Architect Google Cloud, 2023
  • Azure Solutions Architect Expert Microsoft, 2022
Explore Cloud Solutions & DevOps

Projects we have shipped on the cloud

  • Enterprise E-Commerce

    Laravel · MySQL · Redis · AWS

  • Multi-Vendor Commerce Marketplace

    Laravel · MySQL · Redis · AWS S3 · Queue workers

  • B2B/B2C Loan Portal

    Laravel · MySQL · Redis · REST APIs · AWS S3

  • Diagnostic Lab Reporting Portal

    Laravel · PostgreSQL · AWS S3 · Queues

  • FastAPI Document OCR Gateway

    FastAPI · PostgreSQL · Redis · S3 · Docker

  • Django + Celery Report Factory

    Django · Celery · Redis · S3 · Docker

FAQ

Cloud cost questions, answered.

Savings, access, risk, providers and Kubernetes.

contact@daydecoder.com

It depends on your current setup: how your servers are sized, how your traffic changes, and what you already pay for. We do not quote a figure up front. After a free audit of your billing and usage data, we share an estimate for your own account, with the effort and risk of each change.

Let's talk

Get a free cloud cost audit.

Tell us which cloud you use and roughly what you spend each month. We will reply within 24 hours with next steps for a read-only audit.

  1. 1

    We reply within 24 hours

    A real person reads your message and replies on the next business day at the latest.

  2. 2

    Free 30-minute call

    We talk through your goals, users, and budget, and answer every question.

  3. 3

    Proposal & fixed quote

    You get a written scope, timeline, and price. No obligation.

contact@daydecoder.com Ahmedabad, India

Get a free consultation

Takes under a minute. No spam, no obligation.

What do you need help with?

Your details stay private. NDA on request.