Opsio - Cloud and AI Solutions
Chaos Engineering

Chaos Engineering & Fault Injection

Break things on purpose – so production doesn't break by surprise. Opsio designs and executes fault injection experiments on AWS Lambda, Azure Functions, and Google Cloud Functions to validate resilience before your customers find the gaps.

Trusted by 100+ organisations across 6 countries

80%

Fewer unplanned outages

3x

Faster mean time to recovery

100+

Chaos experiments run monthly

AWS Advanced Partner
Microsoft Partner
Gremlin Partner
Delivered by Opsio

What's Included

01

Experiment Design

Hypothesis-driven experiments targeting latency injection, error responses, throttling, and resource exhaustion on serverless functions.

02

Steady-State Validation

Define and measure steady-state metrics before, during, and after experiments to quantify resilience improvements.

03

Blast-Radius Controls

Automated abort conditions, canary-based rollout of experiments, and real-time dashboards to keep chaos safe.

04

Gameday Facilitation

Facilitated team gamedays where engineers respond to injected failures in real time, building muscle memory for actual incidents.

Free consultation

Talk to an expert about Chaos Engineering & Fault Injection

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Verified customer
Opsio's focus on security in the architecture setup is crucial for us. By blending innovation, agility, and a stable managed cloud service, they provided us with the foundation we needed to further develop our business. We are grateful for our IT partner, Opsio.
Opus Bilprovning logo

Jenny Boman

CIO · Opus Bilprovning

Proactive resilience for serverless workloads from-red-600 to-orange-500

Serverless architectures remove infrastructure management but introduce new failure modes – cold starts, throttling, downstream timeouts, and poison-pill events. Traditional monitoring catches these problems after they impact users; chaos engineering finds them before. Opsio's chaos engineering practice brings controlled failure injection to your serverless functions. We design experiments based on real-world failure scenarios, execute them safely in lower environments, and graduate to production with proper blast-radius controls. Featured reading from our knowledge base: Serverless Cost Optimization in India: Lambda, Functions, and Cloud Run.

Experiment DesignChaos Engineering
Steady-State ValidationChaos Engineering
Blast-Radius ControlsChaos Engineering
Gameday FacilitationChaos Engineering
AWS Advanced PartnerChaos Engineering
Microsoft PartnerChaos Engineering
Gremlin PartnerChaos Engineering
Experiment DesignChaos Engineering
Steady-State ValidationChaos Engineering
Blast-Radius ControlsChaos Engineering
Gameday FacilitationChaos Engineering
AWS Advanced PartnerChaos Engineering
Microsoft PartnerChaos Engineering
Gremlin PartnerChaos Engineering

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Why Choose Opsio for Cloud Services

Serverless-first expertise

Deep experience with Lambda, Azure Functions, and Cloud Functions failure modes.

Safety-first approach

Every experiment has automated abort conditions and defined blast radius.

Toolchain flexibility

We work with Gremlin, AWS FIS, LitmusChaos, or custom fault libraries.

Resilience scorecards

Quantified resilience metrics that improve sprint over sprint.

Not sure yet? Start with a pilot.

Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.

Our 4-Phase Delivery Process

Key Takeaways

  • Experiment Design
  • Steady-State Validation
  • Blast-Radius Controls
  • Gameday Facilitation

Chaos Engineering & Fault Injection — FAQ

Is chaos engineering safe for production?

Yes, when done properly. Opsio uses blast-radius controls, automated abort conditions, and canary rollouts. We start in non-production environments and only move to production with proper safeguards.

Which serverless platforms do you support?

We run fault injection experiments on AWS Lambda, Azure Functions, and Google Cloud Functions, as well as container-based serverless like AWS Fargate and Azure Container Apps.

How do you measure success?

We track steady-state metrics (latency, error rate, throughput) before and after experiments. A successful program reduces unplanned incidents and improves mean time to recovery over time.

Still have questions? Our team is ready to help.

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Editorial standards: Written by certified cloud practitioners and reviewed by our engineering team.
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Chaos Engineering & Fault Injection

Free consultation

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