Ultimate Kubernetes cost efficiency with Cloudfleet

Optimize Kubernetes costs with Cloudfleet’s built-in automation, multi-cloud flexibility, and intelligent workload management. Achieve up to 80% savings through Spot instances, bin packing, and seamless hybrid cloud integration.

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Always-on resource optimization

Successful cost optimization in software engineering and cloud infrastructure requires a multi-layered approach across your stack: efficient code, the right hardware, and optimal geographical placement. While the impact of specific optimizations varies by organization, some common strategies consistently reduce overall costs. For example, modern ARM-based processors offer better cost efficiency for general applications. On-premises or co-location infrastructure is more cost-effective in the mid-term for predictable workloads. Public clouds excel for spiky, unpredictable workloads or high-maintenance applications, but watch out for raw server pricing - some providers charge 10x more than others! And if you use hyperscalers, maximize cost savings by leveraging spot instances whenever possible.

Cloudfleet enables organizations to optimize the cost-efficiency of their entire application portfolio across all these dimensions. Instead of starting with infrastructure constraints, we work backward from workload requirements. Cloudfleet does not lock you into a specific cloud provider, region, or data center. Instead, application owners define their workload and business requirements.

Need a GPU cluster? Cloudfleet first ensures that your on-premises infrastructure is fully utilized, then bursts into the most cost-efficient GPU cloud. Need to temporarily deploy close to a specific location? Seamlessly use the public cloud.

In complex hybrid or multi-cloud environments, Cloudfleet reduces infrastructure costs by up to 80% through intelligent resource optimization - so you pay only for what you need without compromising performance. It continuously optimizes cluster configurations based on real-time load, eliminating waste by right-sizing nodes, relocating workloads, and autoscaling as needed.

Automatically monitor, rightsize, and reduce overprovisioning

Cloudfleet continuously optimizes cloud costs by detecting and fixing resource allocation issues. We analyze workload data to identify the optimal infrastructure mix, ensuring all resources are rightsized for better utilization, performance, and cost efficiency. Best of all - this process is fully automated and eliminates the need for ‘ops chasing devs’.

Access a global market of spot and preemptible infrastructure

Spot instances are unused hyperscaler capacity available at discounts of up to 90% compared to on-demand pricing. Cloudfleet is a unique solution that lets you leverage discounted infrastructure across all regions of a single cloud provider and across multiple public clouds. Cloudfleet handles interruptions seamlessly, ensuring continuous workload operation.

Use cheaper cloud providers without the migration hassle

Some cloud providers offer better cost efficiency than others. Additionally, specialized clouds focus on specific workloads, such as GPU clouds optimized for ML training. With Cloudfleet, switching to the right infrastructure provider is as simple as changing one line in your YAML configuration.

Simplified Kubernetes setup for better observability

Cloudfleet comes with ‘batteries included’, allowing you to run a single Kubernetes cluster across multiple clouds and on-premises environments. Manage deployments, monitoring, logging, and cost allocation from a single control plane. This approach enhances cloud cost transparency for teams and reduces maintenance overhead.

All you need for better Kubernetes cost efficiency

Cloudfleet reduces Kubernetes costs by up to 80% through continuous monitoring and optimization. We ensure you get the most out of your cloud spend, letting automation handle the complexity so you can focus on growing your business.

Real-time cluster node rebalancing

Cloudfleet’s bin packing and resource optimization algorithm dynamically adds or removes resources as needed. Your cluster will always have the optimal infrastructure configuration and node setup.

Always up-to-date cloud offering catalog

Cloudfleet provides access to the largest global infrastructure catalog compared to any single cloud provider - and it’s expanding rapidly. CFKE automatically provisions Kubernetes nodes across 12+ cloud providers and supports 1,300+ node types.

Data transfer out (DTO) cost optimization

All traffic in Cloudfleet clusters is routed using topology-aware load balancing, reducing unnecessary latency and data transfer costs in distributed deployments.

Global load balancing and ingress

Cloudfleet automatically provisions and deprovisions load balancers based on cluster nodes. A single Kubernetes service can be served from multiple clouds and multiple regions.

Automate and free up your engineers

Managed control plane, out-of-the-box hybrid and multi-cloud support, and autoscaling reduce the burden on your engineering team. Increase developer productivity by letting Cloudfleet handle Kubernetes infrastructure management.

Single global Kubernetes control plane

Cloudfleet delivers truly global clusters - eliminating the need for a ‘cluster of clusters’ or separate clusters for each availability zone or data center. No ‘single pane of glass’ abstractions, vendor-specific expertise or tooling required.

Cloudfleet Kubernetes adoption

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FAQ

Questions and answers about Kubernetes cost optimization

Cloud cost optimization involves a combination of strategies, best practices, and tools designed to reduce cloud expenses while maximizing business value and ROI. It minimizes costs by identifying mismanaged resources, eliminating waste from overprovisioning, rightsizing compute resources, selecting optimal virtual machine types, and leveraging autoscaling to handle fluctuating demand. Additionally, using cost-efficient options like spot instances can further enhance savings, ensuring teams maintain performance without overspending.

An automated cloud cost optimization solution streamlines the process by selecting the most cost-effective instance types and sizes, autoscaling resources to manage demand spikes, and removing unused resources. It also leverages spot instances while handling potential disruptions, automates storage, backups, security, and compliance, and continuously adjusts configurations to save costs across the board. Best of all, these optimizations happen in real time, ensuring your cloud remains efficient without relying on outdated point-in-time assessments.

Yes, every Cloudfleet cluster comes with a full suite of built-in cost optimization tools, including node autoprovisioning, bin packing, multi-cloud and hybrid support, intelligent traffic routing, and a simplified control plane. These features ensure seamless resource efficiency and cost savings without extra setup or management.

Cloudfleet customers achieve up to 80% cost savings by leveraging the full suite of cost optimization tools built into Cloudfleet Kubernetes Engine. These savings come from more efficient resource utilization, increased use of Spot instances, and better integration of existing on-premises infrastructure.

The greatest impact is seen when customers extend their cloud-native stack beyond a single hyperscaler, distributing workloads across multiple environments to take advantage of lower-cost infrastructure and optimized scaling. This calculation is based on real-world customer experiences before and after adopting Cloudfleet’s cost-saving strategies.

Learn more about Kubernetes cost optimization and Cloudfleet

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Security built-in.

Access control & governance

Fine-grained role-based access control (RBAC) with organization and project scopes, least-privilege permissions, and comprehensive audit trails for all user actions.

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Identity federation

Enterprise Single Sign-On (SSO) via SAML and OIDC, integrating with Okta, Microsoft Entra ID, Google Workspace, and other compatible identity providers.

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Enterprise-grade security

Governance, centralized audit logging, and compliance readiness aligned with SOC 2 and ISO 27001 standards (certifications in progress).

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Enterprise support you deserve.

Built to support large-scale, mission-critical deployments with dedicated teams, proven processes, and clear operational commitments.

Professional services

Expert-led architecture, deployment, and migration services to help you design, roll out, and scale Cloudfleet across complex environments.

Customer success team

A dedicated customer success team guiding onboarding, adoption, and long-term success, with access to best practices and operational guidance.

Technical account support

24/7 access to experienced engineers via defined support channels, with clear escalation paths for critical incidents.

Service Level Agreements

Clearly defined Service Level Agreements (SLAs) covering availability, response times, and incident handling for mission-critical workloads.

Case studies

Powering critical infrastructure for engineering teams worldwide.

Cloudfleet seamlessly extends your cluster anywhere, turning any hardware - even in your office or home - into a modern enterprise cluster.

Jules Huls, Information Security Expert
Jules Huls
Information Security Expert

Using Cloudfleet together with Hetzner allowed us to bring up a managed Kubernetes cluster just as quick as with any US-based hyper-scaler, but with the benefit of being EU hosted which is very valuable in today's times.

Martin Schulze, CEO & Founder
Martin Schulze
CEO & Founder

By combining our standardized configurations with the powerful automation features of the Cloudfleet platform, we've built a development workflow that is fast, secure, and incredibly efficient.

Onur Solmaz, VP of Engineering and Research
Onur Solmaz
VP of Engineering and Research

Perfect balance between flexibility and managed service - and the support is outstanding.

Daniel Costa, Sales Engineer
Daniel Costa
Sales Engineer

We deploy to customer infrastructure without changing how we build or manage Kubernetes.

Julian Becker, Principal DevOps Engineer
Julian Becker
Principal DevOps Engineer

It is easy to build a multi-cloud setup without getting locked into any single provider.

Carlos Mendes, Infrastructure Architect
Carlos Mendes
Infrastructure Architect

It is easy to build a multi-cloud setup without vendor lock-in.

Luca Meyer, Principal DevOps Engineer
Luca Meyer
Principal DevOps Engineer

Cloudfleet lets us scale our game servers across multiple providers - reliably and affordably.

Max Keller, Senior DevOps Engineer
Max Keller
Senior DevOps Engineer

Cloudfleet not only cut our infrastructure costs - it saved us hours of work by taking cluster management off our plate.

Richard Callahan, Engineering Manager
Richard Callahan
Engineering Manager
Why Cloudfleet

Designed for modern cloud operations.

Hybrid-cloud by design

Run Kubernetes consistently across public cloud, private infrastructure, and on-prem environments, with a single control plane and unified operational model.

Operational simplicity

Operate, scale, and migrate Kubernetes clusters across environments using a consistent, opinionated platform that reduces operational overhead.

Predictable costs

Transparent pricing and infrastructure control help you avoid hyperscaler lock-in, hidden fees, and unexpected cost growth as your workloads scale.

No vendor lock-in

Retain full portability of your clusters, workloads, and tooling by running standard Kubernetes without proprietary extensions or forced dependencies.

Production-grade support

Designed for production workloads, with operational tooling, escalation paths, and support processes built to meet enterprise reliability requirements.

Enterprise-ready security

Secure by default, with isolation, encryption, and access controls designed to meet the requirements of regulated and security-conscious organizations.

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