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cloud cost optimization services

Cloud Cost Optimization Services that cut a $200K/year bill by more than 70%

Cloud cost optimization is the practice of re-architecting infrastructure so you pay only for what you actually use. Done seriously, a first pass typically removes 40 to 70 percent of a cloud bill. I re-engineered AccioJob's enterprise infrastructure and cut a $200K/year bill by more than 70 percent, then secured $300K in cloud credits on top. Axionry runs this as a fixed-fee audit, with an optional savings-share model, so the incentive is simple: your bill goes down, or I don't get paid.

Proof point
70%+ savings, $300K in credits
Modern data center infrastructure — the systems behind a $200K/yr cloud bill cut to under $1K/month

How do you cut a cloud bill by more than 70%?

Not through instance right-sizing alone; that gets you maybe 15%. The real reduction comes from attacking the bill on several fronts at once: right-sizing what's overprovisioned, simplifying the stack so a smaller team can run it, pursuing cloud credits and commercial programs, and optimizing pricing models and architecture across the whole account.

Every engagement starts with a forensic audit of your last three months of billing data. You get a line-by-line map of where money leaks: idle compute, over-provisioned databases, egress traps, orphaned storage, unoptimized LLM token spend, and per-seat SaaS that infrastructure could replace.

The four levers we pull on your cloud bill

Right-size what's overprovisioned. We review how your workloads actually run, find the compute, databases and storage you're paying for but not fully using, and right-size them without hurting performance.

Simplify the stack. Complex infrastructure needs a big team to operate. We flatten the DevOps and infrastructure footprint so a leaner team can run it, which cuts cloud cost and operational cost at the same time.

Pursue cloud credits and commercial programs. We identify the credit and incentive programs you may qualify for, help you apply, and connect you to the right contacts where we can. We pursue credits aggressively, but we never guarantee a specific amount.

Optimize the whole bill. We look across unused and underutilized resources, pricing models and commitments, managed-service markups, architectural complexity, operational overhead and available credits, then fix the ones that actually move the number.

What does a cloud cost audit include?

A compute and autoscaling review (EC2, GKE, AKS, and serverless versus reserved trade-offs). Database and storage tiering (Postgres, MongoDB, Redis, S3 lifecycle). Network egress analysis. LLM and AI inference cost engineering: model routing, caching, batching and self-hosted STT/TTS. A cloud credits strategy, which I've run to secure $300K via Microsoft for Startups and AWS Activate. And a prioritized savings roadmap with a dollar estimate on each item.

What do cloud cost optimization services cost?

Two models. A fixed-fee audit, where you get the full leak map and roadmap and your team implements. Or savings-share, where I implement the re-architecture and take a percentage of the first year's verified savings, so if your bill doesn't drop, I don't get paid. US and EU startups typically see payback in the first month.

EngagementWhat you getPrice
Cost AuditLine-by-line leak map + prioritized savings roadmap (2 weeks)$4,500 fixed
Audit + ImplementationI re-architect and migrate; verified savings report20% of year-1 savings
Credits SprintMicrosoft/AWS/GCP startup credit applications done right$1,500 fixed
FAQ

Common questions.

Straight answers. If yours isn't here, ask on a 20-minute call.

How much can cloud cost optimization save?+

Typical results are 40 to 70 percent on a first serious pass. On my own infrastructure I cut a $200K/year enterprise bill by more than 70% by combining right-sizing, a simpler stack, architecture changes and $300K in negotiated credits. Your ceiling depends on how much idle capacity and managed-service markup exists today.

How long does an AWS cost optimization audit take?+

Two weeks for the audit and roadmap. Implementation is typically 2–6 weeks depending on migration scope. You see the first savings within the first month.

Do you handle LLM and AI inference costs too?+

Yes, this is where modern bills explode. I optimize model routing, caching and batching, and can replace vendor voice stacks: I cut voice AI cost from 10¢ to 2.5¢ a minute by rebuilding on LiveKit with optimized STT and TTS.

What clouds do you work with?+

AWS, Microsoft Azure and Google Cloud. I've run production workloads on all three and executed a full GCP-to-Azure/AWS migration solo, with zero downtime and no external DevOps support.

Ready to talk numbers?

Twenty minutes, straight to the engineer. No sales rep, no deck.