Blog
Business
Cloud
7
minutes

Why Rust Has a Bright Future in the Cloud

Rust is a programming language? Have you heard the question from your developer friends?  Well, Rust has broken into TIOBE Top 20 Most Popular Programming Languages. Briefly stated Rust is a direct competitor to C and C++ and at a lesser level competes with Java and C#.  There has been rapid adoption by open source projects by Mozilla, Polkadot, and Deno besides exciting system programming enterprise action from the likes of Google, AWS, Microsoft, Cloudflare, Dropbox, and many others. Let us explore more on this fascinating programming language, its advantages, and its growing popularity in today's emerging technology world.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

Rust is an open-source language developed by Mozilla. As per Stack Overflow's 2019 developer survey, Rust is also the most loved programming language. It is a low-level programming language focused on safety and performance.

Traditional programming languages like C/C++ have been facing challenges with the build of concurrent programs and memory errors. Rust is good for performance. Network services sensitive to latency find that tail latencies are nearly nil while using Rust as there is no runtime garbage collection.

Java and C# became popular many years back as they were eliminating bugs related to memory safety. Their language runtimes like the Java Virtual Machine and .Net efficiently used Garbage Collection at runtime. But on the downside, it also led to runtime overhead, resulting in impact of application and inconsistent performance.

Microsoft agrees that Rust is the best alternative to C and C++ today. Rust is reliable due to its static compile-time garbage collector that prevents bugs that are usually accepted in C++, Java, and Python. It also improves developer productivity and has built-in documentation, unit, and integration testing.

How Rust helps to build a better Cloud infrastructure software

Why Rust? Credit Parity.io

Organizations are rushing to gain advantages of cloud computing. Rust is gaining popularity and is making inroads into building software for better cloud infrastructure. There are a few reasons that are catapulting the adoption of Rust language for Cloud.

Some of the important reasons are as follows:

Rust is like C and C++ in performance

No matter how much investment software companies may put into tooling and training their developers, "C++, at its core, is not a safe language.

There are many similarities and differences between Rust, and C. Rust has syntax with brief keywords similar to C. The performance of a coding language depends on optimization, platform restrictions, and algorithmic complexity. The fundamental flaws of languages like C and C++ have not yet been fixed. Rust can be as fast as the C language. One can use convenient abstractions as well to write code like C.
Let's check out the property comparison between Rust, C, and C++.

Comparison between Rust, C and C++

As Rust does not require a runtime or garbage collector, it can deliver run time performance similar to C and C++ languages.

There is a need to build low-level infrastructure components that need high performance to reduce critical overhead in cloud computing. For example, we have the hypervisor that acts like a virtual machine manager that allows sharing a single physical instance of cloud resources between multiple tenants.

Rust is focused on security and safety without impacting speed and performance.

Newstack quotes

"No matter how much investment software companies may put into tooling and training their developers, "C++, at its core, is not a safe language," said Ryan Levick, Microsoft cloud developer advocate, during the AllThingsOpen virtual conference last month, explaining, in a virtual talk, why Microsoft is gradually switching to Rust to build its infrastructure software, away from C/C++.

Low memory footprint

Cloud computing has always been in the limelight as a cost-effective and economical option for hosting applications. However, memory in cloud computing is an expensive affair, and that is an area where Rust language has provided good news.

Cloud computing is expensive on the memory side and is based on the CPU in GHz/s and the memory in Gb/s. Memory and speed cannot be adjusted separately. Both are linked together, and if you need more MHz, you will need more memory and vice versa.

Rust gives us the option of storing data on the heap or the stack. It takes a call at compile time if the memory is no longer needed and can be cleaned. This approach enables efficient usage of memory and is advantageous for cloud computing. It also provides higher performant memory access. Rust has a major advantage with its ability to offer a low memory footprint in this manner.

Safe by design

Another advantage provided by Rust is better memory safety due to the compiler. Rust being a low–level statically typed programming language, it has been developed with a focus on efficient memory management at the heart of its conception.

Rust has secure memory management too. The garbage collector (GC) in other languages is in place to ensure that unwanted items are removed from memory. Unfortunately, this slows the code's performance speed when it runs. Here is where the Rust compiler drives in the advantage of discarding the garbage collector and performs checks in compilation for any memory errors.

Rust uses a strict type system. This coupled with the ownership model, delivers compile-time verification of memory and concurrency safety, reducing Rust cloud implementations' testing and validating costs.

Rust has powerful features

Borrow checker

The borrow checker in Rust prevents data races at the time of compiling. Data races happen when two threads access the same memory at the same time. Rust contains these types of undefined behavior.

Ownership

Unlike some other languages that seek memory that is not being used while the program is run, Rust manages through an ownership system. It includes a set of rules that are checked by the compiler.

Each value in Rust has a variable which is known as its owner. There can be only one owner at a time. Ownership is dropped when the variable goes out of scope, which means cleaning the memory allocated to a heap when the variable can no longer be accessed.

Unlike other languages, the ownership rules provide benefits like memory safety accompanied by more fine control over memory.

Lifetime

Rust compiler uses 'lifetimes' to keep track of the validity of references. A variable's "reference" is a pointer that points to a particular variable. You can use Lifetime annotations to inform the borrow checker on how long references will be valid. The borrow checker can infer correct lifetimes in many cases but may need the developer's help sometimes.

All these features help optimize memory management using Rust. This makes it a programming language of choice for the Cloud.

Growing adoption of Rust language:

We see an increase in using Rust language by leading names like Google, AWS, Microsoft, Cloudflare, etc. A few examples include

  • AWS Firecracker: AWS has used Rust to build Firecracker, which provides open-source virtualization technology. It powers AWS Lambda and other serverless offerings. Rust has also been used to deliver Amazon Elastic Compute Cloud (Amazon EC2), Amazon CloudFront, Amazon Simple Storage Service (Amazon S3), Amazon Route 53, etc. AWS firecracker (micro VM): https://github.com/firecracker-microvm/firecracker
  • Linkerd service mesh proxy is built in Rust - https://github.com/linkerd/linkerd2-proxy
  • Qovery Engine: is an open-source abstraction layer library that turns easy apps deployment on AWS, GCP, Azure, and other Cloud providers in just a few minutes. The Qovery Engine is written in Rust and takes advantage of Terraform, Helm, Kubectl, and Docker to manage resources. https://github.com/qovery/engine

Rust is gaining momentum with companies realizing its benefits for cloud computing. Dropbox used Rust to rewrite some of its core systems, while Mozilla used Rust to build the Firefox browser engine, demonstrating its robust benefits.

At Qovery, we believe in Rust's capabilities for building the future of the Cloud. Join our community of 500+ devs on Discord and get involved at the end of the Cloud.

We're hiring Rust developers
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
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
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
Kubernetes
Cloud
AI
FinOps
 minutes
GPU orchestration guide: How to auto-scale Kubernetes clusters and slash AI infrastructure costs

To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.

Mélanie Dallé
Senior Marketing Manager
Product
AI
Deployment
 minutes
Stop Guessing, Start Shipping. AI-Powered Deployment Troubleshooting

AI is helping developers write more code, faster than ever. But writing code is only half the story. What happens after? Building, deploying, debugging, scaling. That's where teams still lose hours.We're building Qovery for this era. Not just to deploy your code, but to make everything that comes after writing it just as fast.

Alessandro Carrano
Head of Product
AI
Developer Experience
Kubernetes
 minutes
MCP Server is the future of your team's incident’s response

Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.

Romain Gérard
Staff Software Engineer
Compliance
Developer Experience
 minutes
Beyond the spreadsheet: Using GitOps to generate DORA-compliant audit trails.

By adopting GitOps and utilizing management platforms like Qovery, fintech teams can automatically generate DORA-compliant audit trails, transforming regulatory compliance from a manual, time-consuming chore into an automated, native byproduct of their infrastructure.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
7
 minutes
Day 2 operations: an executive guide to Kubernetes operations and scale

Kubernetes success is determined by Day 2 execution, not Day 1 deployment. While migration is a bounded project, maintenance is an infinite loop that often consumes 40% of senior engineering capacity. To protect margins and velocity, enterprises must transition from manual toil to agentic automation that handles scaling, security, and cost.

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.