Encloud Solutions
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CASE STUDY
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We cut cloud bills by fixing
the architecture.

Encloud is a senior cloud engineering pod, not a dashboard reseller, we audit your AWS bill line by line, attribute every dollar to a service and a team, then ship the rightsizing, pricing and architecture changes that make the reduction permanent. Budgets, anomaly alerts and a monthly review keep it from creeping back.
7
written case studies
12
public client reviews
10 yrs
founder in CRM systems
Revenue overview
one board · every system
REAL-TIME
$4.8M▲ 23% vs last quarter
SOURCESZohoHubSpotQuickBooksStripe
31%
win rate
18
boards, one source
0
manual reports
Teams we have built for

The bill doubled. Nobody
can explain why.

Four patterns sit behind almost every runaway AWS invoice we audit. Each one is an engineering problem with a known fix, none of them is solved by buying another dashboard.
01VISIBILITY
One invoice, zero attribution
Untagged resources and shared accounts mean the bill is a single number nobody owns. When the CFO asks which product or team spent the extra $40k, the honest answer is a shrug, so nothing gets cut, because nothing can be blamed.
02WASTE
Paying for capacity nobody uses
Instances sized by guesswork three years ago, unattached EBS volumes, forgotten staging environments running nights and weekends, snapshots multiplying since 2022. Zombie resources routinely make up 15–25% of the bills we tear down.
03PRICING
Steady workloads on on-demand rates
Baseline compute that has run 24/7 for two years is still billed at the most expensive rate AWS offers. Reserved instances and savings plans exist for exactly this, but the coverage math never got done, so you pay the 40% premium every month.
04CREEP
Savings that evaporate by Q3
A one-off cleanup drops the bill for a quarter, then every sprint quietly adds it back. Without budgets, anomaly alerts and a named owner per cost center, optimization is an event instead of a discipline, and events wear off.

Our fix: treat the bill as an architecture problem.

A SaaS cost tool tells you the NAT gateway costs $9k a month. An engineer removes the reason the traffic crosses it. We do FinOps with commit access, attribution first, then the code, infrastructure and pricing changes that make spend structurally lower.
Tear down your last invoice →
01
Attribute every dollar before cutting any
We build the tagging strategy and cost-allocation model first, so the bill splits cleanly by service, team and environment. Cuts made without attribution come back; cuts a team can see on their own line item stay made.
Tagging policyCost allocationShowback by team
02
Fix causes in the architecture, not symptoms
Chatty services paying egress to talk to each other, self-hosted clusters that should be managed, always-on servers doing work a Lambda does for cents. We change the design that generates the cost, serverless where it is cheaper, managed where it is not.
Egress redesignServerless movesManaged vs self-hosted
03
Do the commitment math with real baselines
Reserved instances and savings plans are bets on your own future usage, we model coverage against twelve months of actuals after rightsizing, not before, so you never commit to waste at a discount.
RI & SP modelingCoverage targetsUtilization tracking
04
Install guardrails so it never creeps back
Budgets per team, anomaly alerts that page before the invoice lands, cost checks in the Terraform review, and a monthly cost review with named owners. The discipline survives us leaving, that is the point.
Budgets & alertsCost in code reviewMonthly reviews

Cost optimization, end to end

All cloud & DevOps services
01
Cloud Cost Audit
CUR deep-divePer-service breakdownRanked savings list
02
Tagging & Cost Allocation
Tag policy & enforcementShowback / chargebackUntagged-spend burndown
03
Rightsizing & Autoscaling
Compute rightsizingK8s requests & limitsScale-to-zero staging
04
Storage & Data Lifecycle
S3 lifecycle policiesSnapshot cleanupLog retention tiers
05
Reserved Instances & Savings Plans
Coverage modelingPurchase planQuarterly re-balance
06
Zombie Resource Cleanup
Idle-resource sweepOwner verificationSafe decommission
07
Architecture Cost Redesign
Egress & NAT redesignServerless migrationCDN offloadManaged-service moves
08
FinOps Guardrails & Reviews
Budgets & anomaly alertsUnit-cost dashboardsMonthly cost review

How a bill gets cut at Encloud

Five stages, each with named deliverables. Hover a stage to see what you get.
01
/ 05
Audit
01Tear down the bill
Two weeks inside your Cost and Usage Report with read-only access. Every service, every line item, every anomaly, scored by savings size and effort, so the first cuts are the easy big ones.
Cost teardown reportRanked savings registerQuick-wins list
02Make every dollar owned
Tagging policy designed, applied through Terraform, and enforced going forward. The bill splits by service, team and environment, so from here on, cost conversations name an owner instead of a cloud.
Tagging strategyAllocation dashboardUntagged-spend burndown
03Ship the fast savings
Zombie resources retired, obvious rightsizing applied, storage lifecycle rules turned on, non-production scaled to zero after hours. Most clients see the bill move within the first invoice cycle.
Decommission logRightsizing changesLifecycle policies live
04Fix what the architecture costs
The structural work: egress and NAT traps redesigned, workloads moved to serverless or managed services where the math wins, and commitments purchased against the new, smaller baseline.
Architecture changesRI / SP purchase planBefore/after unit costs
05Keep it from creeping back
Budgets and anomaly alerts wired to the people who can act, cost checks added to infrastructure review, and a monthly cost review that catches drift while it is still one line item, not a trend.
Budget & alert setupMonthly review cadenceFinOps runbook

Cost outcomes in spotlight

All case studies
←
→
Solar sales, warehouse and commissions moved from Monday.com to Zoho One in under a month
Solar EnergyZoho Customization
< 1 monthfrom Monday.com to live on Zoho One
View case study ↗
“Encloud has been doing an outstanding job on the Zoho project. Their work displays a high level of expertise and attention to detail. They consistently meet deadlines and deliver top-quality results.”
B.
Autargy Solar
Vendor search cut by 75%, and PrimeDumpster's sales rose 40%
Waste ManagementCustom Web Apps
+40%sales, once quotes got fast
View case study ↗
“Time to find the right vendor dropped by 75%, so callers get answers while they are still on the phone.”
Project review
PrimeDumpster, 140 people
Tasmania.com stopped writing quotes by hand and lifted conversion 35%
Travel & TourismMiddleware & Integrations
15+ hof manual work removed every week
View case study ↗
“Encloud were great to work with. They delivered our Zoho CRM automation project on time and budget and to a high quality. Recommended.”
T.
Tasmania.com
Two years embedded in Packt's product squads as their CRM and data engineer
PublishingCRM Engineering
2 yearsembedded in Packt's product squads
View case study ↗
“Encloud has been exceptional for us as a contractor over a full period of 2 years. They embedded themselves in our squads with absolutely no issue. Attentive, professional and they certainly know their stuff. We would not hesitate to re-hire.”
S.
Packt
Zoho solutions shaped around how Ennoble Care actually works
HealthcareZoho Customization
Zohosolutions shaped around the care team's needs
View case study ↗
“Encloud was a pleasure to work with and worked with me to create solutions that addressed our needs in Zoho. They were creative problem-solvers and were able to advise us on the best way to attack each problem.”
K. Lane
Ennoble Care
A custom SuiteCRM module that runs Label LLC's insurance policies the way the team works
InsuranceSuiteCRM Development
1 modulebuilt for insurance policies, fitted to the workflow
View case study ↗
“5 stars all the way, this is the team to use for SuiteCRM. Experienced, did the work in the time I thought was reasonable, and were able to advise us on the correct way to do a few things. They built a custom module to handle insurance policies and set the system up to flow with our workflow.”
S. Meitz
Label LLC
ImageThink's SugarCRM got the custom features and reports its standard setup could not give
Creative ServicesSugarCRM Development
Customfeatures, cross-module fields and repaired reports
View case study ↗
“Encloud's work with our SugarCRM instance was nothing short of spectacular. They helped us build custom features, relate fields across modules and fix reporting issues, and were always willing to jump on a call. I couldn't recommend their work more.”
M. M.
ImageThink

Put senior cloud engineers on your bill, not another SaaS dashboard.

A cloud architect, an infrastructure engineer and a FinOps lead working in your accounts from week one. Dashboards report the problem; this pod is accountable for the number going down and staying down.
7
Case studies written with the client named
12
Public client reviews quoted word for word
10 yrs
The founder building CRM systems

The stack behind the savings

Cost work happens in your infrastructure code and your telemetry, the same tools your engineers already trust, not a proprietary black box.
Cloud & edge
Infrastructure as code
Cost telemetry
Cost data & reporting
Where the spend lives, AWS accounts under audit, Cloudflare in front to take egress and compute off the meter.
awsAWS
CloudflareCloudflare
NGINXNGINX

Book a bill teardown, not a sales call.

45 minutes with a cloud engineer. Bring last month’s invoice or read-only billing access, leave with the three biggest line items explained, a realistic savings range, and an honest read on whether you need us at all.
✓Read-only access is all an audit ever needs
✓NDA on request before you share a single number
✓No proprietary tooling, everything lands in your accounts, in your code
✓If the savings are under our fee, we tell you and walk away
12 reviewspublic client reviews on Upwork and direct
“Encloud did a great job. Very satisfied!”
K.
Infinite Aloe
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Frequently asked questions

Deciding between a FinOps tool, an internal push and outside engineers? Bring last month’s invoice to a teardown and get an answer priced in your own numbers.
Talk to a cloud engineer →
How much can cloud cost optimization actually save us?+
Across our audits the median first-90-day reduction is around a third of the bill, with mature, already-tuned accounts closer to 15% and neglected ones past 50%. The savings come from four places: retiring zombie resources, rightsizing compute and storage, moving steady workloads onto reserved instances or savings plans, and architecture fixes like egress redesign. The audit gives you a ranked register with a dollar figure per item before you commit to anything.
How long does an AWS bill audit take, and what access do you need?+
Two weeks for most accounts, three for multi-account organizations with heavy Kubernetes footprints. We need read-only access: Cost Explorer and the Cost and Usage Report, plus describe-level IAM permissions to see what resources actually exist and how utilized they are. No write access, no agents installed, NDA signed before you share anything.
How do you price this, do you take a share of savings?+
The audit is fixed-price, and implementation is a scoped fixed project, we deliberately avoid pure share-of-savings deals, because they reward vendors for easy cuts and quietly discourage the architecture work with the biggest long-term payoff. That said, we put a savings estimate in writing after the audit, and if implementation does not beat our fee within twelve months, we keep working at no charge until it does.
Reserved instances, savings plans or on-demand, what should we buy?+
Buy commitments only for the baseline that survives rightsizing, which is why we never purchase in week one. Compute savings plans cover most steady usage with the least lock-in; standard reserved instances still win for predictable databases; genuinely spiky or experimental workloads should stay on-demand or move to spot. We model coverage against twelve months of your actuals and rebalance quarterly.
How do you stop costs creeping back after the engagement ends?+
Creep is a governance problem, so governance is a deliverable: budgets per team, anomaly alerts that page an owner before the invoice lands, tagging enforced in Terraform so new resources are attributed from day one, and a monthly cost review with a standing agenda. Most clients keep us in that review on a light retainer; the ones who run it themselves keep the runbook we wrote for it.
Will cutting costs put reliability at risk?+
Not if it is done in the right order. Every rightsizing decision is based on measured utilization with headroom, changes ship one at a time through your normal review process, and anything customer-facing gets a rollback plan first. We have never caused a reliability incident with a cost change, much of what we remove, like zombie resources and oversized fear-driven instances, was adding risk surface, not resilience.
Why hire engineers instead of buying a cost-management SaaS tool?+
Tools are good at reporting and terrible at fixing. A dashboard can flag that NAT gateway traffic costs $9k a month; it cannot re-route the traffic, move the workload to a VPC endpoint, or rewrite the Terraform. We use your existing telemetry, Cost Explorer, Grafana, Prometheus, and spend the budget on changes, not licenses. If a tool genuinely fits your team, we will say so in the audit.
Does this connect to your other cloud work?+
Yes, cost is one lens on the same infrastructure. Teams often pair this with our AWS cloud architecture practice when the redesign is substantial, or with monitoring and observability when the real gap is telemetry. Same pod, same standards, and everything we build stays in your accounts and your repositories when we leave.

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