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Cloud Services

Cloud Cost Optimisation

Making cloud spend visible, attributable and efficient: tagging, budgets, right-sizing, scheduling, storage and commitment reviews, with changes made safely and savings tracked.

Capabilities

What we deliver

01

Visibility first

Spend broken down by application, environment, team and customer, so every significant cost has an owner.

02

Right-sizing on evidence

Compute, database and container sizing adjusted using real utilisation data, not guesses, with performance checked after each change.

03

Waste removed safely

Idle servers, orphaned disks, old snapshots and forgotten environments identified, confirmed with owners and cleaned up.

04

Architecture-level savings

Storage tiers, managed services, autoscaling and data transfer patterns reviewed for structural savings, not just quick wins.

05

Commitments when usage is stable

Reserved capacity and savings plans considered only once usage is predictable, with the risks spelled out.

06

A habit, not a project

Budgets, anomaly alerts and regular reviews keep costs in check after the initial clean-up.

What we deliver

Cloud bills grow quietly. Resources are created for a test and never removed, servers are sized generously at launch and never revisited, and data transfer charges appear without anyone having planned for them. Twara Technologies makes your cloud spend understandable, removes waste without putting reliability at risk, and sets up the governance that keeps costs under control afterwards.

The FinOps Foundation defines FinOps as an operational framework and cultural practice for maximising the business value of technology, built on collaboration between engineering, finance and business teams. Its framework describes three iterative phases: Inform, Optimize and Operate. Our work follows the same cycle.

Typical scope

  • Single-account and multi-account estates on AWS, Azure and Google Cloud.
  • Compute: virtual machines, containers, Kubernetes clusters and serverless functions.
  • Databases and analytics services, checked for over-provisioning.
  • Storage: lifecycle policies, archive tiers, snapshot retention and backup copies.
  • Networking: data transfer between regions and zones, NAT gateways, load balancers and content delivery.
  • Licensing for commercial databases and operating systems.
  • Non-production environments that could be scheduled off outside working hours.

Technologies we work with

  • Native cost tools: AWS Cost Explorer and Budgets, Azure Cost Management, and Google Cloud Billing reports. These are the first port of call because they work directly on each provider’s billing data.
  • Billing exports: detailed cost and usage exports to a data warehouse or analytics tool when you need custom reports, chargeback or showback.
  • Provider recommendations: right-sizing and idle-resource recommendations from each provider’s advisor services, which we validate against real workload behaviour before acting.
  • Kubernetes cost allocation: tools such as OpenCost when shared clusters make it hard to see which team or service is driving spend.
  • Infrastructure as code: Terraform, OpenTofu or native tools, so tagging standards and schedules are enforced consistently and not applied by hand.

How we approach it

  1. Inform. Establish a cost baseline, apply or repair tagging, and allocate spend to owners. Without this, every other step is guesswork.
  2. Find opportunities. Analyse utilisation, idle resources, storage growth, data transfer and pricing models. Each opportunity is recorded with estimated effort, risk and the owner who must approve it.
  3. Optimise. Make changes in order of value and safety: remove confirmed waste, schedule non-production environments, right-size, move storage to suitable tiers, then tackle architectural changes.
  4. Commit, where it makes sense. Once usage is steady, model commitment discounts against your expected growth and recommend a cautious level of cover.
  5. Operate. Budgets, anomaly alerts and a regular review rhythm with engineering and finance keep the gains from eroding.

Quality and security

  • No surprises for users. Changes that affect capacity are scheduled, monitored and reversible.
  • Owner confirmation. Nothing is deleted on the basis of a tool’s recommendation alone; owners confirm, and snapshots or exports are taken where data might be needed later.
  • Reliability preserved. Cost is one pillar among several. The AWS Well-Architected Framework treats cost optimisation alongside security, reliability, performance efficiency, operational excellence and sustainability, and so do we.
  • Least-privilege access. Analysis uses read-only access; changes use separately approved roles.
  • Audit trail. Every change is logged with its reason, approver and measured effect.

Signs it is time for a cost review

  • The monthly bill has grown faster than usage, customers or revenue.
  • Nobody can say with confidence which application or team is responsible for the largest costs.
  • Test and development environments run around the clock although they are used only during working hours.
  • Storage and snapshot volumes keep growing with no retention policy behind them.
  • Commitment discounts were bought some time ago and nobody has checked whether they still match usage.
  • Data transfer or NAT charges are a surprisingly large line on the invoice.

Any one of these is reason enough to start. A review establishes the facts first, so decisions are based on data rather than anxiety about the size of the bill.

Engagement options

  • Cost review: a fixed-scope analysis that produces the baseline and a prioritised list of savings opportunities.
  • Review and implementation: Twara Technologies carries out the agreed changes and sets up budgets, alerts and dashboards.
  • Ongoing FinOps support: periodic reviews and continuous optimisation, often combined with managed cloud operations.

Contact us to start with a review of your current cloud spend.

FAQ

Frequently asked questions

How much can we save?

We will not quote a figure in advance, because it depends entirely on how your environment has been built and used. The baseline and analysis show where savings are realistic, and we report actual results against that baseline.

Will cost cutting hurt performance or reliability?

It should not. Each change is assessed for risk, tested where needed and monitored afterwards. We do not remove redundancy that protects availability without your explicit agreement.

Should we buy reserved instances or savings plans?

Commitment discounts reward predictable usage but lock you in for the term. We recommend them only after right-sizing, and only for the portion of usage that is clearly stable.

Do you need access to our billing data?

Read access to billing and usage data is needed for the analysis. Changes to resources use separate, limited access that you approve. Billing ownership always stays with you.

Can finance and engineering both use the reports?

Yes. Engineers need to see cost by service and resource; finance needs cost by business unit, product or customer. We design the tagging and reports to serve both.

Have something you want to build or fix?

Tell us what you are trying to achieve. We will reply with questions, options and an honest view of what it would take, whether or not we are the right fit.