Stop paying
for cloud
you are not using.
Most teams overpay by 40 to 60 percent. Not from negligence but because the cloud charges for everything you provision whether anything is using it or not. We find the waste and eliminate it.
"Running a cloud account without cost visibility is like keeping a hotel open with every room lit, every tap running, and the heating on full — then wondering why the utility bill is so high when half the rooms have been empty for months."
The cloud does exactly what you tell it to do. It never turns anything off on its own. Every instance you spun up for a product launch, every dev environment that outlived its sprint, every oversized database bought for a growth projection that has not arrived yet — all of it runs at full cost, every hour, every day. The problem is not recklessness. It is simply that nobody goes back and checks.
Four patterns
behind every oversized bill.
These are not edge cases. They appear in almost every cloud account we have audited regardless of team size, cloud provider, or how long the account has been running.
The bill grows but nobody owns the number.
Engineering owns the architecture. Finance pays the bill. Nobody is accountable for the gap between what the system costs and what it should cost. Without ownership there is no pressure to investigate and without investigation the bill grows by default because the cloud keeps adding and never subtracts on its own.
Resources provisioned for peaks that already passed.
A growth sprint, a major product launch, an anticipated traffic event. Someone provisions generously in advance and rightly so. But when the event passes the infrastructure stays. Nobody wants to decommission something that is working and nobody has time to right-size individual instances when there are features to ship.
Everything runs on on-demand pricing when it does not need to.
On-demand pricing is the most expensive way to run cloud infrastructure and it is the default. Reserved instances and savings plans exist specifically to lower costs on predictable workloads but they require a commitment decision that nobody makes because nobody has done the analysis to know which workloads are actually stable enough to commit to.
Spend spikes and nobody knows until the invoice arrives.
A misconfigured auto-scaling policy runs up thousands overnight. A new service creates unexpected cross-region data transfer charges. A developer forgets to terminate a high-memory instance after testing. With no alerting in place the first signal is a bill that is already 30 days old and entirely unchangeable.
Every lever.
Not just the easy ones.
We work through every category of cloud spend and implement changes. You are not getting a report of what you could do. You are getting the work done.
Complete Bill Analysis
We pull your full billing history and categorise every charge. Not just the top five lines. Every service, every region, every resource tagged or untagged. You get a plain-language breakdown of exactly where every pound is going and why.
Right-Sizing Recommendations
We pull three months of CloudWatch utilisation data for every compute resource and produce specific right-sizing recommendations. Not by instance family in general. By the specific instance ID running in your account right now.
Reserved Instance Strategy
Reservations reduce compute cost by 30 to 72 percent but only when aligned to what you are actually running. We model your usage patterns and recommend the right mix of 1-year and 3-year terms, standard versus convertible, and payment options.
Spot Instance Migration
Batch processing, CI/CD runners, ML training jobs and stateless workloads are good Spot candidates. We identify which parts of your workload qualify, implement interruption handling, and configure mixed instance pools to balance savings with reliability.
Cost Monitoring Dashboard
We configure real-time spend dashboards, per-team cost allocation, budget alerts that trigger before thresholds are crossed, and anomaly detection that catches unusual patterns within hours. The goal is that you never get a surprise bill again.
RDS and Storage Optimisation
Database and storage charges are frequently the most overlooked part of a cloud bill. We evaluate read replica necessity, instance family selection, Aurora Serverless eligibility, S3 storage class tiering, snapshot retention schedules and lifecycle policies.
First savings in
under four weeks.
Read-only access and bill pull
We request read-only billing access and Cost Explorer API access. No write permissions at this stage. We pull three to six months of spend history and begin categorising every service, region, and resource against actual utilisation data.
Waste identification and ranking
We produce a ranked list of every saving opportunity in your account ordered by monthly dollar impact. Each item includes the specific resource, the current cost, the recommended action, the expected saving, and the implementation complexity.
Implementation alongside your team
We implement the agreed changes with your engineers through your normal deployment process. Right-sizing, reserved instance purchases, Spot migration and S3 policy updates. Nothing changes in production without your review and sign-off.
Monitoring handover and close
Before we close the engagement we configure the full cost monitoring stack. Dashboards, budget alerts, anomaly detection. Your team has real-time visibility and the savings stay in place rather than gradually reversing as the account grows.
| Service | Current/mo | Change | Status |
|---|---|---|---|
EC2 Instances | $4,120 | +23% | Over-prov |
RDS Databases | $2,840 | +18% | Oversized |
S3 Storage | $1,932 | +31% | Tiering needed |
Data Transfer | $1,356 | +47% | Avoidable |
Lambda | $620 | +4% | Tune cold start |
Other | $480 | → | OK |
| Resource | Instance type | Avg CPU | Verdict |
|---|---|---|---|
prod-api-01..08 | t3.xlarge | 8% | Right-size to t3.small |
prod-worker-01..04 | t3.2xlarge | 34% | Right-size to t3.large |
staging-all | t3.xlarge | 3% | Schedule off nights |
db-primary | db.r5.4xlarge | 22% | Downsize to r5.xlarge |
db-replica-1 | db.r5.2xlarge | 11% | Evaluate necessity |
ci-runners | c5.xlarge | Bursty | Move to Spot |
| Action | Effort | Monthly saving | Status |
|---|---|---|---|
Purchase 1yr Reserved Instances (16 instances) | Low | $1,870 | Ready |
Right-size EC2 fleet (8 prod workers) | Low | $1,440 | Ready |
Downsize RDS primary and evaluate replica | Med | $890 | In review |
Enable S3 Intelligent Tiering on cold buckets | Low | $410 | Ready |
Move CI runners to Spot with fallback pool | Med | $210 | Scheduled |
Set up budget alerts and anomaly detection | Low | Prevents future | Ready |
| Metric | Before | After (week 6) | Change |
|---|---|---|---|
| Monthly cloud spend | $10,248 | $5,428 | Down 47% |
| Reserved instance coverage | 0% | 74% | +74 pts |
| EC2 avg utilisation | 8% | 64% | +56 pts |
| Budget alerts triggered | None configured | 0 breaches | Full coverage |
| Anomaly detection | Off | Active | 24h response |
| Wasted spend | $4,820/mo | $280/mo | Down 94% |
Numbers from real
client engagements.
Compiled from Bithost cloud cost engagements across teams spending between $3,000 and $80,000 per month. Every situation is different and we will scope your actual potential honestly after the audit.
Questions we get
before the first call.
Your next bill can be
47 percent smaller.
Start with the audit.
A 30-minute call is enough to understand your current setup, estimate the saving potential honestly, and tell you whether an engagement makes sense for your situation. No commitment required to get the estimate.
Book a free cloud cost audit
Stop paying
for cloud
you are not using.
Most teams overpay by 40 to 60 percent. Not from negligence but because the cloud charges for everything you provision whether anything is using it or not. We find the waste and eliminate it.
"Running a cloud account without cost visibility is like keeping a hotel open with every room lit, every tap running, and the heating on full — then wondering why the utility bill is so high when half the rooms have been empty for months."
The cloud does exactly what you tell it to do. It never turns anything off on its own. Every instance you spun up for a product launch, every dev environment that outlived its sprint, every oversized database bought for a growth projection that has not arrived yet — all of it runs at full cost, every hour, every day. The problem is not recklessness. It is simply that nobody goes back and checks.
Four patterns
behind every oversized bill.
These are not edge cases. They appear in almost every cloud account we have audited regardless of team size, cloud provider, or how long the account has been running.
The bill grows but nobody owns the number.
Engineering owns the architecture. Finance pays the bill. Nobody is accountable for the gap between what the system costs and what it should cost. Without ownership there is no pressure to investigate and without investigation the bill grows by default because the cloud keeps adding and never subtracts on its own.
Resources provisioned for peaks that already passed.
A growth sprint, a major product launch, an anticipated traffic event. Someone provisions generously in advance and rightly so. But when the event passes the infrastructure stays. Nobody wants to decommission something that is working and nobody has time to right-size individual instances when there are features to ship.
Everything runs on on-demand pricing when it does not need to.
On-demand pricing is the most expensive way to run cloud infrastructure and it is the default. Reserved instances and savings plans exist specifically to lower costs on predictable workloads but they require a commitment decision that nobody makes because nobody has done the analysis to know which workloads are actually stable enough to commit to.
Spend spikes and nobody knows until the invoice arrives.
A misconfigured auto-scaling policy runs up thousands overnight. A new service creates unexpected cross-region data transfer charges. A developer forgets to terminate a high-memory instance after testing. With no alerting in place the first signal is a bill that is already 30 days old and entirely unchangeable.
Every lever.
Not just the easy ones.
We work through every category of cloud spend and implement changes. You are not getting a report of what you could do. You are getting the work done.
Complete Bill Analysis
We pull your full billing history and categorise every charge. Not just the top five lines. Every service, every region, every resource tagged or untagged. You get a plain-language breakdown of exactly where every pound is going and why.
Right-Sizing Recommendations
We pull three months of CloudWatch utilisation data for every compute resource and produce specific right-sizing recommendations. Not by instance family in general. By the specific instance ID running in your account right now.
Reserved Instance Strategy
Reservations reduce compute cost by 30 to 72 percent but only when aligned to what you are actually running. We model your usage patterns and recommend the right mix of 1-year and 3-year terms, standard versus convertible, and payment options.
Spot Instance Migration
Batch processing, CI/CD runners, ML training jobs and stateless workloads are good Spot candidates. We identify which parts of your workload qualify, implement interruption handling, and configure mixed instance pools to balance savings with reliability.
Cost Monitoring Dashboard
We configure real-time spend dashboards, per-team cost allocation, budget alerts that trigger before thresholds are crossed, and anomaly detection that catches unusual patterns within hours. The goal is that you never get a surprise bill again.
RDS and Storage Optimisation
Database and storage charges are frequently the most overlooked part of a cloud bill. We evaluate read replica necessity, instance family selection, Aurora Serverless eligibility, S3 storage class tiering, snapshot retention schedules and lifecycle policies.
First savings in
under four weeks.
Read-only access and bill pull
We request read-only billing access and Cost Explorer API access. No write permissions at this stage. We pull three to six months of spend history and begin categorising every service, region, and resource against actual utilisation data.
Waste identification and ranking
We produce a ranked list of every saving opportunity in your account ordered by monthly dollar impact. Each item includes the specific resource, the current cost, the recommended action, the expected saving, and the implementation complexity.
Implementation alongside your team
We implement the agreed changes with your engineers through your normal deployment process. Right-sizing, reserved instance purchases, Spot migration and S3 policy updates. Nothing changes in production without your review and sign-off.
Monitoring handover and close
Before we close the engagement we configure the full cost monitoring stack. Dashboards, budget alerts, anomaly detection. Your team has real-time visibility and the savings stay in place rather than gradually reversing as the account grows.
| Service | Current/mo | Change | Status |
|---|---|---|---|
EC2 Instances | $4,120 | +23% | Over-prov |
RDS Databases | $2,840 | +18% | Oversized |
S3 Storage | $1,932 | +31% | Tiering needed |
Data Transfer | $1,356 | +47% | Avoidable |
Lambda | $620 | +4% | Tune cold start |
Other | $480 | → | OK |
| Resource | Instance type | Avg CPU | Verdict |
|---|---|---|---|
prod-api-01..08 | t3.xlarge | 8% | Right-size to t3.small |
prod-worker-01..04 | t3.2xlarge | 34% | Right-size to t3.large |
staging-all | t3.xlarge | 3% | Schedule off nights |
db-primary | db.r5.4xlarge | 22% | Downsize to r5.xlarge |
db-replica-1 | db.r5.2xlarge | 11% | Evaluate necessity |
ci-runners | c5.xlarge | Bursty | Move to Spot |
| Action | Effort | Monthly saving | Status |
|---|---|---|---|
Purchase 1yr Reserved Instances (16 instances) | Low | $1,870 | Ready |
Right-size EC2 fleet (8 prod workers) | Low | $1,440 | Ready |
Downsize RDS primary and evaluate replica | Med | $890 | In review |
Enable S3 Intelligent Tiering on cold buckets | Low | $410 | Ready |
Move CI runners to Spot with fallback pool | Med | $210 | Scheduled |
Set up budget alerts and anomaly detection | Low | Prevents future | Ready |
| Metric | Before | After (week 6) | Change |
|---|---|---|---|
| Monthly cloud spend | $10,248 | $5,428 | Down 47% |
| Reserved instance coverage | 0% | 74% | +74 pts |
| EC2 avg utilisation | 8% | 64% | +56 pts |
| Budget alerts triggered | None configured | 0 breaches | Full coverage |
| Anomaly detection | Off | Active | 24h response |
| Wasted spend | $4,820/mo | $280/mo | Down 94% |
Numbers from real
client engagements.
Compiled from Bithost cloud cost engagements across teams spending between $3,000 and $80,000 per month. Every situation is different and we will scope your actual potential honestly after the audit.
Questions we get
before the first call.
Your next bill can be
47 percent smaller.
Start with the audit.
A 30-minute call is enough to understand your current setup, estimate the saving potential honestly, and tell you whether an engagement makes sense for your situation. No commitment required to get the estimate.
Book a free cloud cost audit