Cloud and AWS

Finding where an AWS bill goes, then making it smaller.

A growing company spending about $5,000 a month on AWS across three accounts usually has a setup that grew one project at a time: always-on EC2 servers running nightly jobs, a development database running around the clock, and costs nobody can assign to a team.

Industry
Cloud and AWS
Solutions
Spend less and run better on AWS · Put all your numbers in one place
Engagement
Pilot, then build and run

The challenge

The bill goes up every quarter, and nobody can say why.

Permissions are wider than they should be, logs are kept forever, and a failed nightly job is only noticed when a report is missing the next morning. The team wants to move more work to AWS but does not trust the current setup enough to build on it.

The approach

How it works.

  1. Review

    Accounts, IAM, network, architecture and twelve months of cost data are reviewed and written up in plain language.

  2. Rank the savings

    Every saving is sized and ranked by effort: rightsizing, schedules for non-production, Savings Plans, snapshot and log clean-up.

  3. Move the jobs

    Nightly batch jobs move from always-on servers to Lambda, SQS and EventBridge, with retries, alerts and per-job cost visible.

  4. Hand over

    Budgets, cost alerts, runbooks and least-privilege roles, so the team can run it or we keep running it.

The solution

What gets built.

The solution is a cost and pipeline review dashboard plus the changes themselves: daily spend by service, cost by service against last month, the health of every Lambda pipeline, and a ranked list of savings with their effort.

AWS cost review: daily spend by service for October, month-to-date cost by service, Lambda pipeline health and a ranked list of savings recommendations.

Outcomes

What it delivers.

  • A bill you can explain with every major cost tagged to an owner.
  • Savings ranked by size and effort so the easy wins happen first.
  • Nightly jobs that report their own failures before anyone notices a missing report.
  • Access you can defend least privilege, MFA and documented roles.

Technology

Typical stack for this.

  • AWS Lambda
  • Amazon SQS
  • Amazon EventBridge
  • Amazon DynamoDB
  • AWS Cost Explorer
  • Terraform
  • Amazon CloudWatch
  • or whatever you already run

Start with a conversation

Tell us what's slowing your operation down.

A 30-minute call with the people who would build it. You leave knowing whether a pilot makes sense, and what it would cover.