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Cloud cost optimisation that cuts the bill, not the reliability. Cloud cost optimisation services for AWS and Azure: rightsizing, Savings Plans, reservations, egress and NAT fixes, and idle resource clean-up in your account.
For cloud cost optimisation, we go through your AWS or Azure bill line by line, match each charge to the workload behind it, and remove the waste. That means rightsizing servers and databases, buying commitments only for usage that is steady, cutting data transfer and NAT charges, and deleting resources nobody owns. Changes are made in your account, tested on staging first, and written down. You finish with a smaller bill, tagging that shows who spends what, and budget alerts that catch the next spike early.
Why cloud bills keep growing. Servers sized for a launch Instances and databases were picked for peak traffic that never came, and they still run at a fraction of their CPU and memory.
Data transfer nobody planned for NAT gateway processing, cross-zone traffic and downloads served straight from storage add a line to the bill that keeps growing with usage.
Resources nobody owns Old test environments, unattached disks, years of snapshots, unused public IPs and idle load balancers keep billing every hour.
Paying on-demand for steady usage Production has run the same baseline for a year, but it is still billed at on-demand rates with no Savings Plan or reservation behind it.
What a cost optimisation engagement covers. Bill breakdown and tagging We map every significant charge to a service, environment and owner, add cost allocation tags, and turn on reports that group spend the way your team thinks about it.
Rightsizing compute and databases Using AWS Compute Optimizer, Azure Advisor and your own metrics, we move over-provisioned instances, RDS or Azure SQL databases and disks to sizes that match real load.
Savings Plans and reservations We model your steady baseline and recommend Compute Savings Plans, Reserved Instances, Azure savings plans or Azure reservations for that part only, with the term and payment option explained.
Data transfer and egress We trace where traffic leaves the network: adding S3 gateway endpoints, putting a CDN in front of public files, keeping chatty services in one zone and reviewing NAT usage.
Idle and orphaned resources Unattached volumes, stale snapshots, unused Elastic IPs and public IPv4 addresses, empty load balancers and forgotten environments are listed, confirmed with you and removed.
Storage and log retention Lifecycle rules move old objects to cheaper tiers, gp2 volumes move to gp3, and log groups get retention periods instead of keeping everything forever.
Non-production schedules Development and staging environments are stopped outside working hours, and interruptible jobs move to Spot capacity where a restart is harmless.
Budgets and anomaly alerts AWS Budgets, Cost Anomaly Detection or Azure Cost Management alerts go to named people, so a runaway resource is caught in days, not at month end.
Engagement options Cost review A fixed-scope review for teams that want to know where the money goes before changing anything.
Read-only access to billing and resources Charge-by-charge breakdown with owners Savings estimate for each finding A written, prioritised action plan Optimisation project A fixed-scope project where we review the account and then make the agreed changes ourselves.
Everything in the cost review Rightsizing and clean-up applied and tested Commitment purchase plan for your sign-off Tags, budgets and alerts configured Ongoing cost management A monthly retainer for teams whose usage changes and who want someone watching the bill.
Monthly spend review against the last period Commitment coverage and utilisation checks Investigation of anomaly alerts Coverage hours and response times agreed in the retainer How it works Access and scoping You give us read-only billing and resource access. We agree which accounts, subscriptions and environments are in scope.
Review and findings We analyse at least a few weeks of usage and cost data and send a written list of findings, each with an estimated saving and its risk.
Changes in safe order Low-risk clean-up goes first, then rightsizing tested on staging, then commitments once the new baseline is clear. Nothing is deleted without your sign-off.
Guardrails and hand-over Tags, budgets and alerts stay in your account, with a short runbook so your team can keep the bill in shape.
Why Infigini We build the software too We write application code as well as run servers, so we can tell when a cost comes from the code, such as an N+1 query or uncached downloads, rather than the instance size.
We run lean infrastructure ourselves We have hosted a college group's APIs, databases and subdomains on a single Lightsail instance and run our development cloud on our own hardware.
You keep control Every change is made in your own account and documented. Commitments are bought in your name, and nothing depends on us to keep running.
Honest about the options Sometimes the answer is a smaller instance, sometimes Lightsail or a self-hosted server, sometimes leaving it alone. We write down the trade-off either way.
Technologies: AWS Cost Explorer, AWS Compute Optimizer, AWS Budgets, Savings Plans, Reserved Instances, Azure Cost Management, Azure Advisor, Azure Reservations, Azure savings plans, AWS EC2, AWS Lightsail, Linux
Related projects Campus Server Platform — The central server for a college group, hosting every project API, database and subdomain on one instance.
Self-Service Deployment Server — A shared server that lets anyone in the organisation deploy applications through CI/CD to multiple domains and subdomains.
High-Performance Hybrid Cloud — A multi-node private cloud for development and test environments, with mesh networking and a web control plane.
Frequently asked questions What do cloud cost optimisation services include? A review of your bill and resources, then the changes that reduce it: rightsizing servers and databases, buying Savings Plans or reservations for steady usage, cutting data transfer and NAT charges, removing idle resources, setting storage and log retention, and scheduling non-production environments. We finish by adding tags, budgets and anomaly alerts so you can see spend by team or product and catch increases early.
How much can we expect to save on our AWS or Azure bill? It depends on how the account has grown, so we do not promise a percentage up front. The cost review gives you a figure per finding, based on your own usage data and the provider's published prices, before you commit to any changes. Accounts that have never been reviewed usually have more to remove than ones that are already tagged and right-sized.
What access do you need to our cloud account? For the review, read-only access is enough: an IAM role with billing and resource view permissions on AWS, or Cost Management Reader and Reader roles on Azure. We ask for change permissions only for the work you approve, scoped to the resources involved, and you can remove our access at any time.
Will rightsizing or deleting resources cause downtime? Not if it is done in the right order. We check utilisation over a meaningful period, test new sizes on staging, and resize production in an agreed maintenance window, since most instance type changes need a restart. Anything we plan to delete is listed for your sign-off, and we take a snapshot first where the data could matter.
Should we buy Savings Plans or Reserved Instances? Only for usage you are confident will run for the whole term. We rightsize first, then size the commitment to your steady baseline rather than your peak. Compute Savings Plans and Azure savings plans flex across instance families and regions, while Reserved Instances and Azure reservations can suit fixed workloads such as databases. We explain the one- and three-year options before anything is bought.
Why is our data transfer or NAT gateway charge so high? Common causes are private servers pulling large amounts of data through a NAT gateway, traffic crossing availability zones, and files served directly from storage to the internet. Fixes include S3 gateway endpoints, a CDN in front of public assets, keeping chatty services in one zone and caching repeated downloads. We trace the traffic before changing anything.
How are cloud cost optimisation services priced? The cost review and the optimisation project are quoted at a fixed price based on the number of accounts or subscriptions and the size of the environment. Ongoing cost management is a fixed monthly retainer based on the number of accounts and how often you want the bill reviewed. Tell us roughly what you run and we will send an estimate.
Do you only work with AWS and Azure? Most of our cost work is on AWS and Azure. For some workloads the cheaper answer is a smaller platform such as Lightsail or a self-hosted server, and we will say so when the numbers support it. We also help teams decide when moving a workload off the public cloud makes sense.
Further reading How to reduce cloud costs without breaking production: a checklist
AWS hidden costs: NAT gateways, data transfer and idle resources
Moving off the public cloud: when self-hosting makes sense
When we don't recommend Kubernetes
AWS Lightsail or EC2? A practical guide for small teams
Infigini IT Services · 11 Kanwali Road, Dehradun 248001, India · info@infigini.com · +91 95684 87789