For teams spending $10k a month or more on Datadog and AWS

Cut your Datadog and AWS bill. Start with a free audit.

AI agents audit every host, metric, log index and instance, then rightsize and consolidate with a senior engineer approving each change. The audit is free and read-only. The service is one fixed monthly fee.

A free 30-minute demo with an engineer. No commitment.

Customers backed by
Y CombinatorSequoiaTiger Global

What would you save?

Set the sliders to your monthly spend.
Estimated savings per year
$153,000 to $288,000
  • Datadog $45k to $72k
  • AWS $108k to $216k
Get my exact number

Ranges reflect results in production accounts, up to 40% in some. The free audit gives you an exact figure before you spend anything.

Engineering teams running on DevLift

AsporaYC W22 Coinshift HatioStartGlobal, Inc.
Winuyar
BrownRice Capital
PRED
HelloCounsel

What we find

Most bills carry 30% that nobody decided to spend.

Observability and cloud costs grow by default. Every new service adds metrics, every log line gets indexed, and every instance is sized for the busiest day it ever had. These are the six places we look first.

Custom metric cardinality

One metric with a high-cardinality tag becomes thousands of billable series. Iris finds the tags nobody queries and drops them.

Datadog

Log indexing

Indexing every line is the default and the most expensive choice. Debug and access logs go to archive. What you actually search stays indexed.

Datadog

Host and APM counts

Agents running on machines that never needed tracing, and committed host counts set at a renewal a year ago.

Datadog

Over-provisioned compute

EC2, RDS and Kubernetes nodes sized for a launch-day peak. Finly rightsizes on real utilization, one approved change at a time.

AWS

Idle and orphaned resources

Unattached volumes, stale snapshots, forgotten NAT gateways and staging environments that run all weekend.

AWS

Commitments that no longer fit

Savings Plans and reserved capacity bought for what you planned to run, not what you run now.

AWS

How it works

Read-only on day one. A number by day seven.

The audit is free, and it is the product. You see exactly what would change and what it's worth before you spend anything.

  1. Day 1

    Connect, read-only

    One IAM role and a Datadog API key with read scope. Nothing to install, and nothing changes.

  2. Day 7

    Get the free audit

    A line-by-line report: what to cut, what it saves, what it risks. It's yours to keep whether or not we go further.

  3. From week 2

    Agents apply, engineers approve

    On a fixed monthly plan, Finly and Iris make the changes in small, reversible steps. A senior engineer signs off on each one, and next month's invoice shows the difference.

Pricing

A free audit, then one fixed price.

No percentage of your cloud spend and no percentage of savings. You see the audit's number first and decide with it in hand.

Cost audit

$0
Read-only. Seven days.
Schedule a free demo

Managed AWS and DevOps

Fixed monthly fee
Scoped on the demo
Schedule a free demo See the managed service

Our rule: we only propose a managed plan when the audit finds annual savings of at least 3 times the fee. If it doesn't, you keep the report and pay nothing.

From customers

What engineering leaders say.

Arun Engineering Manager, Coinshift

“Since bringing DevLift's AI agents into our production environments, our infrastructure operates seamlessly. We established strict, automated security guardrails without slowing down our deployments, and Finly optimized our cloud waste by thousands of dollars automatically.”

Sanjay Nediyara CEO, StartGlobal, Inc.

“DevLift completely removed the ops toil from our sprint cycles. Instead of manually wrestling with IaC and chasing compliance drift, we rely on their platform to keep our environments stable and audit-ready. It's like having a senior SRE on staff 24/7.”

Under the hood

What we read, what we change, and how.

The questions your platform team will ask before granting access, answered up front.

  1. Read-only access A cross-account role and Datadog read keys
  2. 30 days analysed Cost, utilization and Datadog usage
  3. Findings ranked By annual savings and blast radius
  4. Approved, then applied An engineer signs off. Changes land as pull requests.

What we read on day one

What we change, after approval

AccessFree auditManaged plan
AWSCross-account role: ReadOnlyAccess, Cost Explorer, Cost and Usage Report, CloudWatch GetMetricDataSame, plus write scoped to each approved change. Pull requests where Terraform owns the resource.
DatadogAPI key and application key with usage, metrics, logs configuration, monitors and dashboards readSame, plus logs configuration and monitors write for approved changes
KubernetesMetrics through your existing Datadog or Prometheus. No cluster credentials.Read-only kubeconfig, or your GitOps repository for node group changes
Data we handleMetadata and utilization onlyMetadata and utilization only. Never application data or log contents.
RevocationDelete the role or the keySame. The plan runs month to month.

Savings are measured against your last three invoices, normalized for usage growth, and reconciled with you each month. Every change carries a dry run, a rollback path and a named approver.

Track record

Built by operators, not theorists.

We didn't build DevLift from a whiteboard. We built it from thousands of hours operating real infrastructure for fintech and crypto companies, then encoded the work we kept doing by hand.

$4B+in fintech and crypto transactions running on infrastructure we operate
99.9%uptime track record across AWS, GCP and Azure environments
40%cost reduction reached in production accounts
6 weeksto SOC 2 readiness, with controls enforced on every deploy

The people behind the agents

DevLift is built by a small DevSecOps team in Dubai. Everyone touches production, everyone talks to clients, and the engineers who operate your accounts are the same ones who answer the page.

  • Headquartered in Dubai. Runs production for fintech, crypto and AI companies across the UAE, the US and the UK.
  • OSWE-certified engineers, DEF CON and Black Hat speakers and former CTF leads, with five discovered CVEs between them.
  • Four years operating infrastructure by hand before the recurring work was encoded into the agents.
  • A shared pager. Someone is reachable when it breaks, under an SLA, and the same engineers approve every agent change.
The DevLift team at a viewpoint in the hillsThe team around a dinner tableLaptops open on a balcony at dusk

The DevLift team, 2026.

Harshil Olavakott

Founder

Harshil Olavakott

Founder and CEO, DevLift. LinkedIn

Cloud architect and DevSecOps specialist, building and running infrastructure on AWS and Azure since 2012. He has led engineering at Dentsu and ran production for fintech and crypto teams for four years before turning that work into DevLift.

Since 2012AWS Community BuilderWINAIM Award 2016

Has built and run infrastructure for

Emirates
Dentsu

Frameworks we build to

SOC 2 Type IIControls enforced on every deploy
ISO 27001Information security management
PCI DSSCard data environments
HIPAAHealth data safeguards
SLSA Level 3Signed, verifiable builds
GDPREU data protection

Works with

Datadog
AWS
Google Cloud
Azure
Kubernetes
Terraform
Grafana
Prometheus
Cloudflare
Jenkins
Kong
Okta

Questions

Before you book.

Do you need write access to start?

No. The audit runs on a read-only IAM role and a Datadog API key with read scope. Write access comes later, scoped to the changes you approve, and you can revoke it at any time.

Is the audit really free?

Yes. It runs on read-only access, takes about seven days, and the report is yours whether or not you go further. We only propose the managed plan when the audit finds annual savings of at least three times the fee. If it does not, you keep the report and pay nothing.

How is the managed plan priced?

A fixed monthly fee, quoted at the end of the audit and scoped by your cloud footprint and the work involved. No percentage of your spend, no percentage of savings, and no annual contract. It runs month to month.

How do you measure savings?

We baseline your last three invoices and normalize for usage growth, so a bill that grew slower than your traffic still counts. Each month you see the same reconciliation we do, against your own invoices.

We're mid-contract with Datadog. Is there anything to do?

Usually, yes. Committed spend still hides waste in custom metrics, indexed logs and host counts. Cutting usage now lowers the renewal, and we plan the work around your renewal date.

Will this affect alerting or reliability?

Changes go out in small, reversible steps, in staging first where one exists. Iris removes noisy alerts, not coverage, and a senior engineer signs off on every change before it ships.

How is this different from a cost dashboard?

A dashboard shows you where the money goes and leaves the work with your team. DevLift's agents do the work, our engineers approve it, and the fee is fixed rather than a slice of your spend.

Who is actually doing the work?

Two AI agents, Finly for cloud cost and Iris for observability, run the analysis and prepare the changes. DevLift engineers in Dubai review and approve them, and they are on call around the clock for teams in the UAE, the US and the UK.

What happens on the free demo?

Thirty minutes with an engineer. We show what the agents do, agree what the free audit covers, walk through the read-only access it needs, and if you bring your last invoices we give you a first estimate on the call.

See what's in your bill.

Schedule a free 30-minute demo with an engineer and leave with your free audit scoped. Bring last month's Datadog and AWS invoices if you have them and you'll get a first estimate on the call.

You'll pick a time on the next page. Calendar invite follows by email.