Cloud optimization services that cut up to 60% of costs

We identify underutilized resources, optimize your architecture, and reduce cloud spend without affecting performance.

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Trusted by 50+ CTOs scaling real products

What you get with our cloud optimization services

Improve infrastructure efficiency
Right-size workloads and align performance with actual demand using data-driven recommendations.
Pains we cover:
- Oversized instances
- Poor autoscaling behavior
- Manual resource allocation
Cut unnecessary cloud spend
Identify and eliminate idle, over-provisioned, or misconfigured resources across your environments.
Pains we cover:
- Unexpected cloud bills
- Low resource utilization
- Paying for unused capacity
Increase cost visibility and control
Get clear, actionable insights into what drives your cloud costs, and who’s responsible.
Pains we cover:
- Lack of cost attribution
- No budgeting or limits
- Teams unaware of impact
Build cost-efficient architectures
Refactor and evolve your infrastructure to use scalable, low-cost patterns (spot, serverless, autoscaling).
Pains we cover:
- Rigid lift-and-shift setups
- Inefficient storage or networking
- No use of native cost-saving tools

Technical highlights of our cloud optimization stack

1/2

Impressive costs reduction

50% off the cloud bill for one of the biggest DEXes. Our absolute record was 70% reduced costs.

DEX handling 100,000 RPS with 62.5x faster response

Shortest value delivery

Full infrastructure design, testing, and deployment—completed in 14 days, with production rollout in 24 hours.

ZK-infrastructure with a custom scaling solution

Enterprise-grade protection

A multi-layered security approach aligned with global compliance benchmarks — cutting attack risk by 98.7%

Secure MedTech infrastructure with proactive threat mitigation

Unlimited customization

Capable of building the most challenging projects from A to Z on your terms, like based on DPPs and NFDIs.

Full-cycle blockchain development

Full-cycle AI production

Training an ML model and creating the predictive AI autoscaling engine. The most precise and efficient scaling, recognized by Google.

AI node autoscaler

What our cloud optimization services cover

1/2

Architecture review

Evaluating your current infrastructure for performance bottlenecks, cost leaks, and scalability gaps.

FinOps enablement

Aligning teams, tools, and finance workflows around cost visibility and responsibility.

Kubernetes cost optimization

Refining resource requests, autoscaling, and cluster setup for cost-efficient K8s workloads.

Infrastructure as code

Automating and versioning infrastructure for effortless deployment.

Automation pipelines with cost focus

Building CI/CD flows that monitor, control, and prevent inefficient deployments.

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Daniel Yavorovych

Co-Founder & CTO

The real ROI comes when optimization becomes part of your architecture

The roadmap of working with Dysnix on Cloud Optimization

1
Cost & usage audit
We analyze your current cloud usage, identify major cost drivers, and highlight inefficiencies across infrastructure, services, and configurations.
2
Architecture & resource review
Our engineers assess your current setup — from compute and storage to networking — and identify opportunities for refactoring and rightsizing.
3
Optimization strategy & savings plan
We build a tailored optimization plan using a mix of rightsizing, autoscaling, spot/reserved instances, and pricing model improvements.
4
Implementation & automation
We apply changes through IaC (Terraform, etc.) or directly in your environment, automating optimizations where possible for ongoing impact.
5
Real-time cost monitoring
We enable cost dashboards and anomaly detection to monitor your cloud usage and instantly flag unexpected behavior or budget drifts.
6
FinOps alignment & team training
We help your engineers and managers adopt cost-awareness into their workflows, budgets, and DevOps pipelines.

7 Continuous improvement

As your product scales, we keep optimizing — tracking new usage patterns, pricing changes, and architectural opportunities for long-term savings.

Cloud optimization: in-house vs Dysnix team

Key factors

Expertise scope
Cost efficiency
Onboard and delivery time
Full-cycle DevOps services
Adoption of innovations

Dysnix DevOps expert

One hired DevOps = total Dysnix expertise
Cost-effective: no hidden fees or overhead
Onboard and deliver within 1-2 weeks
Provided by one vendor
Continuously updated with the latest practices

In-house engineer

Limited to individual expertise
Salary, bonus, and training costs
Long hiring and onboarding process
Can’t handle all at once for long
Requires investments to stay current

What our clients say about optimizing with Dysnix

Evgeny Medvedev

Chief Solutions Architect, Nansen.ai

The team considers all our wishes and is eager to accomplish our additional requests.

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Alex Gluchowski

CEO, Matter Labs

The Dysnix team has a high level of professionalism in managing projects.

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Roman Cherednik

CTO, Financial Services Company

Dysnix has proved itself as a reliable partner over the long run.

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Dmytro Haidashenko

CTO, Shelf.Network

The DevOps engineers' work is organized in such a way that their response takes minimal time.

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Roman Cherednik

CTO, Financial Services Firm

The Dysnix team embarked on this task with commitment and enthusiasm.

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Daniel Walker

CTO, Whispli

They've managed to do what we wanted without much in the way of custom stuff.

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Eli Osherovich

CTO & Co-Founder, Wand.AI

Dysnix is a team of high-level specialists.

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Knuth Rüffer

CEO, Scalors GmbH

Dysnix team has changed a lot of things in the course of the project and it works much better now.

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Eugene Fine

CTO, ExplORer Surgical Corp.

Dysnix team possesses an impressive expertise level and conducts business in a highly professional manner.

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Pavel Sher

CEO & Founder, NimbusWeb

We appreciate Dysnix for being a reliable partner as well as for their tremendous expertise.

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Serhii Androsiuk

CEO, Hackless

Communications with Dysnix's company specialists are at a high level.

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Yurii Kyparus

Co-Founder & CEO, Wallchain

We were pleased with their professionalism, responsibility, and great communication.

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Still have questions about optimizing your cloud?

What are Cloud Optimization Services?

Cloud Optimization Services focus on improving the efficiency, performance, and cost-effectiveness of your cloud infrastructure. This includes right-sizing resources, reducing waste, improving scalability, and aligning cloud usage with business goals.

What benefits can I expect from cloud optimization?

You can expect significant cost savings (up to 30–50%), improved application performance, faster time-to-market, enhanced scalability, and better visibility into your cloud usage and spending.

How do you identify optimization opportunities in my cloud setup?

We perform a detailed audit of your existing infrastructure, usage patterns, billing data, and workloads. Using advanced tools and expertise, we uncover over-provisioned resources, idle instances, inefficient configurations, and more.

Do you support multi-cloud and hybrid environments?

We work with all major cloud providers (AWS, GCP, Azure, DigitalOcean, etc.) and support hybrid and multi-cloud architectures. Our goal is to optimize your cloud stack, regardless of complexity or provider.

Can you guarantee cost savings from optimization?

While specific savings depend on your current setup, most clients see 20–50% cost reduction in monthly cloud bills. We provide a detailed ROI forecast before implementation to set clear expectations.

Is optimization a one-time project or an ongoing service?

We offer both. One-time audits help with immediate savings, while ongoing Cloud FinOps support ensures continuous optimization, governance, and alignment as your infrastructure grows.

How long does a cloud optimization project take?

For small to mid-sized environments, initial results can be delivered in 1–2 weeks. Larger or more complex setups may require 3–6 weeks for full optimization and implementation.

What makes your cloud optimization service different?

We combine deep cloud engineering expertise with automation tools and business logic. Our approach aligns technical changes with real business outcomes, ensuring sustainable impact—not just short-term cost cuts.

Will optimization affect my app's performance or availability?

We prioritize performance and stability. Every change is tested in staging or production-like environments before deployment. In many cases, performance actually improves due to more efficient configurations.