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
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Projects since 2018
15 min
P1 acknowledgement, 24/7
55
Certified cloud professionals
What's Included
Experiment Design
Hypothesis-driven experiments targeting latency injection, error responses, throttling, and resource exhaustion on serverless functions.
Steady-State Validation
Define and measure steady-state metrics before, during, and after experiments to quantify resilience improvements.
Blast-Radius Controls
Automated abort conditions, canary-based rollout of experiments, and real-time dashboards to keep chaos safe.
Gameday Facilitation
Facilitated team gamedays where engineers respond to injected failures in real time, building muscle memory for actual incidents.
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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.
Jenny Boman
CIO · Opus Bilprovning
What is Chaos Engineering & Fault Injection?
Failure injection for AWS Lambda, Azure Functions, and Cloud Functions is a chaos-engineering discipline that deliberately introduces faults—latency spikes, exception throws, resource exhaustion, and cold-start delays—into serverless workloads to validate resilience before production incidents occur. Because serverless architectures abstract infrastructure management, hidden failure modes in event-driven pipelines often surface only under real stress, making controlled fault simulation essential for organisations operating under RBI cloud circulars and MeitY compliance mandates, particularly in BFSI. Opsio implements failure-injection programmes from its ISO 27001-certified Bangalore delivery centre (Opsio Private Limited), targeting AWS Lambda workloads in ap-south-1 (Mumbai) and ap-south-2 (Hyderabad), Azure Functions on Central India and South India regions, and Google Cloud Functions deployments. As an AWS Advanced Tier Services Partner and Microsoft Partner, Opsio applies structured experiment runbooks to identify cascading dependency failures, timeout misconfigurations, and concurrency-limit breaches, enabling enterprises to meet DPDPA 2023 data-resilience obligations while reducing mean time to recovery across distributed, event-driven architectures.
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.
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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
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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.
Chaos Engineering & Fault Injection
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