Blog
Business
AWS
3
minutes

How to reduce your AWS bill up to 60%

Let’s face it. Once you have consumed your free credit, AWS costs an arm and a leg. This is the price to pay for high-quality services. But how can you reduce your costs without sacrificing quality? This post will show you how to reduce your bill by up to 60% by combining four built-in features in Qovery.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon
Since this article was written, we have partnered with Usage AI - a solution that helps our users to reduce their AWS bill by up to 57% in no time. Check out our partnership announcement.

There are three categories of costs on AWS. The “data transfer”, the “compute”, and the “storage” costs. Qovery heavily optimizes “compute” and “storage” costs. Data transfer is application-dependent.

Here are the four strategies to reduce your AWS bill.

Ephemeral environments

Cost reduction: up to 90% on your development environments

Ephemeral environments are also sometimes called “Dynamic environments”, “Temporary environments”, “on-demand environments”, or “short-lived environments”.

The idea is that instead of environments “hanging around” waiting for someone to use them, Qovery is responsible for spawning and destroying the environments they will run against.

Qovery ephemeral environments are convenient for feature development, PR validation, and bug fixing. By nature, they can drastically reduce the cost of your AWS bill. For example: with Qovery ephemeral environments, you can automatically destroy a development environment if not used for 30 minutes.

Switching on ephemeral environments in Qovery is as simple as one click.

Advantages:

  • Save up to 90% on your development environment costs.
  • Only used environments are running.

Downsides:

  • Not applicable to your production environment.
  • It can take some time to start an environment (cold start).

Start and stop schedules

Cost reduction: up to 77% (5 hours per day from Monday to Friday) on your development environments

Similar to ephemeral environments, the idea is to shut down your unused environments. For instance, employees usually work between 9 am to 5 pm, Monday to Friday. Qovery provides everything you need to automatically shut down your development environments when running out of working hours and start them up when in.

With Qovery, your development environment runs only 40 hours instead of 168 hours in one week, which helps you to save 77% of your costs.

Advantages:

  • Development environments are shut down outside of your working hours.
  • Finally, you can take advantage of the Cloud with dynamic resource provisioning :)

Downsides:

  • Not applicable to your production environment.
  • It can take some time to start an environment (cold start).

Application auto-scaling

Cost reduction: up to 5% on your production and development environments

Auto-scaling enables you to upsize/downsize the resources of your application automatically.

Auto-scaling also allows lower cost, and reliable performance by seamlessly increasing and decreasing new instances as demand spikes and drops. As such, autoscaling provides consistency despite the dynamic and, at times, unpredictable demand for applications.

Qovery manages horizontal scaling for applications and vertical scaling for databases.

Auto-scaling means that at least one or n instances are running depending on the workload to manage. Qovery manages out-of-the-box auto-scaling. You can expect up to a 5% cost reduction.

Advantages:

  • Lower the cost for applications with unpredictable workloads.
  • Work on production and development environments.

Downsides:

  • Small cost reduction

Infrastructure auto-scaling

Cost reduction: up to 100% on your development environments

Infrastructure auto-scaling is similar to application auto-scaling but at the infrastructure level. Qovery on AWS relies on EKS and can destroy a development cluster if not used.

Advantages:

  • Development clusters are destroyed when not used.
  • Higher cost reduction than “Start and stop schedules”.

Downsides:

  • Init the development cluster can take up to 30 minutes !!!
Share on :
Twitter icon
linkedin icon
Tired of fighting your Kubernetes platform?
Qovery provides a unified Kubernetes control plane for cluster provisioning, security, and deployments - giving you an enterprise-grade platform without the DIY overhead.
See it in action

Suggested articles

Kubernetes
 minutes
Stopping Kubernetes cloud waste: agentic automation for enterprise fleets

Agentic Kubernetes resource reclamation is the practice of using an autonomous control plane to continuously identify, suspend, and delete idle infrastructure across a multi-cloud Kubernetes fleet. It replaces manual cleanup and reactive autoscaling with intent-based policies that act on business state, eliminating the configuration drift and cloud waste typical of unmanaged fleets.

Mélanie Dallé
Senior Marketing Manager
Platform Engineering
Kubernetes
DevOps
10
 minutes
What is Kubernetes? The reality of Day-2 enterprise fleet orchestration

Kubernetes focuses on container orchestration, but the reality on the ground is far less forgiving. Provisioning a single cluster is a trivial Day-1 exercise. The true operational nightmare begins on Day 2. Teams that treat multi-cloud fleets like isolated pets inevitably face crushing YAML configuration drift, runaway AWS bills, and severe scaling bottlenecks.

Morgan Perry
Co-founder
AI
Compliance
Healthtech
 minutes
Agentic AI infrastructure: moving beyond Copilots to autonomous operations

The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards

Mélanie Dallé
Senior Marketing Manager
Kubernetes
8
 minutes
The 2026 guide to Kubernetes management: master day-2 ops with agentic control

Effective Kubernetes management in 2026 demands a shift from manual cluster building to intent-based fleet orchestration. By implementing agentic automation on standard EKS, GKE, or AKS clusters, enterprises eliminate operational weight, prevent configuration drift, and proactively control cloud spend without vendor lock-in, enabling effective scaling across massive fleets.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
Building a single pane of glass for enterprise Kubernetes fleets

A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
How to deploy a Docker container on Kubernetes (and why manual YAML fails at scale)

Deploying a Docker container on Kubernetes requires building an image, authenticating with a registry, writing YAML deployment manifests, configuring services, and executing kubectl commands. While necessary to understand, executing this manual workflow across thousands of clusters causes severe configuration drift. Enterprise platform teams use agentic platforms to automate the entire deployment lifecycle.

Mélanie Dallé
Senior Marketing Manager
Qovery
Cloud
AWS
Kubernetes
8
 minutes
10 best practices for optimizing Kubernetes on AWS

Optimizing Kubernetes on AWS is less about raw compute and more about surviving Day-2 operations. A standard failure mode occurs when teams scale the control plane while ignoring Amazon VPC IP exhaustion. When the cluster autoscaler triggers, nodes provision but pods fail to schedule due to IP depletion. Effective scaling requires network foresight before compute allocation.

Morgan Perry
Co-founder
Kubernetes
Terraform
 minutes
Managing Kubernetes deployment YAML across multi-cloud enterprise fleets

At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.

Mélanie Dallé
Senior Marketing Manager

It’s time to change
the way you manage K8s

Turn Kubernetes into your strategic advantage with Qovery, automating the heavy lifting while you stay in control.