Continuous Quality Engineering

Engineer quality, security and performance into every release with a purpose-built automation

Late quality processes slow releases and increase risk. Resillion helps you build quality, security and performance into your SDLC, through AI-powered cloud-based continuous testing capabilities that enable delivery teams to run performance and automation testing at scale. By combining with open-source frameworks, monitoring and reporting tools, and AI-led automation, we provide live observability, faster feedback and stronger evidence for release decisions.

 

 

Enterprise Quality Engineering Platform for Continuous Test Automation

Trusted by leading organisations

Helping organisations improve quality, resilience and delivery confidence across complex digital estates.

Cloud-based continuous testing across your delivery lifecycle

Our cloud-based continuous testing environment gives delivery teams a scalable way to run load, performance, automation and compatibility testing across the lifecycle.

Using Azure infrastructure as code, Kubernetes container orchestration, Grafana and Prometheus reporting, and AI-led automation where it adds value, our approach brings functional testing, security assurance and performance engineering into a more connected delivery model. Quality intelligence and governance controls give teams the visibility, consistency and confidence needed to make better release decisions.

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How Resillion delivers Continuous Quality Engineering

Resillion applies structured engineering practices across the SDLC to help teams reduce risk, accelerate delivery and release with greater confidence, and we have built all of our proven methodology into a cloud platform. We connect scalable test orchestration, observability, cloud-based execution and governance so quality becomes part of delivery, not a late-stage checkpoint.

 

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Scalable test orchestration
Run performance and automation testing at scale.

Total Quality delivery 2

Live observability
Use Grafana and Prometheus reporting to see quality signals sooner.

Professional managing AI agent deployment and workflow automation

Toolchain integration
Connect open-source frameworks with the tools and workflows your teams already use.

Security architecture and design scaled

Azure-based architecture
Use repeatable infrastructure as code to improve control and consistency.

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Ephemeral containers

Create isolated test environments that scale for each delivery need.

Continuous-business-assurance-being-demonstrated

Continuous quality signals

Bring load, performance, automation and compatibility testing into continuous delivery workflows.

BENEFITS

Get faster feedback, stronger governance and lower release risk

Our continuous quality engineering approach helps delivery teams improve release outcomes by giving you:

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Faster feedback before issues becomes release blockers

Team collaborating over project plans and sticky notes during a strategy meeting

Stronger release confidence through clearer quality evidence

Factory worker reviewing performance charts on a clipboard on the production floor

Reduced performance and compatibility risk

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Less manual effort through smarter, scalable test execution

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Better visibility into quality, security and performance signals

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More consistent delivery practices across teams and environments

CASE STUDY

Automating smart meter testing for faster, lower-risk delivery

Challenge

A leading UK energy supplier needed to validate thousands of smart meters, firmware versions and device combinations quickly and reliably. Its manual testing approach created long test cycles, reliance on specialist knowledge and growing delivery risk as interoperability requirements evolved.

Approach

Resillion designed and built a scalable automated smart meter testing platform that supported repeatable, parallel test execution in a controlled lab environment. The solution automated key testing steps, covered multiple smart meter components and created a stronger foundation for continuous testing, governance and future automation growth.

Result

With 50% of testing automated, the supplier reduced test cycles, improved confidence in device interoperability and lowered reliance on manual effort. The new platform also made it easier to support future smart energy rollouts with faster validation, better repeatability and reduced delivery risk.

 

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WHY US?

Quality engineering capabilities that improve continuous testing

Here’s how the platform combines cloud architecture, orchestration and observability to improve continuous testing outcomes:

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Azure Infrastructure-as-Code (IaC) deployment

What this does for you

You deploy repeatable cloud infrastructure for testing.

Result

Stronger control and consistency

Security personnel monitoring surveillance feeds in a control room
Kubernetes orchestration

What this does for you

You scale containerised test execution as demand changes.

Result

Faster, flexible test runs

Construction team reviewing building blueprints and project plans
Open-source frameworks

What this does for you

You support automation using proven, adaptable tooling.

Result

Lower toolchain friction

Engineers reviewing 3D CAD model design on computer screen
Grafana and Prometheus reporting

What this does for you

You gain live observability into test activity and quality signals.

Result

Clearer release evidence

Team celebrating milestone in Industrial Automation facility
Load and performance testing

What this does for you

You understand how systems behave under pressure.

Result

Reduced performance risk

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AI-led automation

What this does for you

You accelerate repetitive testing tasks where automation can add value.

Result

Less manual effort and faster feedback

AI consultancy services
Compatibility testing

You validate coverage across devices, environments and configurations.Wider assurance coverage

Wider assurance coverage

WHY NOW?

Still hesitating? See what’s at stake

If you’re not convinced by our continuous quality engineering approach, consider what you’ll be up against without it:

Share ideas

Quality, security and performance issues surfacing too late

Video Conference e1779258325869

Release decisions based on fragmented or incomplete evidence

Solutions e1779685211819

Toolchains that slow teams instead of supporting delivery

Resource

Manual effort increasing as product complexity grows

Robotics

Inconsistent engineering practices across teams and suppliers

Decisions

Higher exposure to defects, vulnerabilities and performance failures

Our experts

Robby Putzeys

Robby Putzeys

Head of Quality Engineering

Robby Putzeys is a seasoned leader with over 25 years of experience in software quality engineering, helping organizations deliver high-quality IT systems, digital products, and complex technology landscapes across industries such as telecommunications and consumer electronics.

Conor Thomson

Conor Thomson

Expert in Quality Engineering and AI Practices

Conor is a Global Solution Architect with 12 years’ experience in Quality Engineering, QA, test automation, software delivery, AI engineering, and digital transformation.