Chaos Engineering That Builds Confidence
Test your systems with controlled experiments to find weaknesses before they cause an incident.
👋 Talk to a reliability engineer.
Trusted and top rated tech team
Prove your resilience before an outage does
You’ve built redundancy, failover, and recovery mechanisms. But have you tested them? Most teams discover how their systems actually fail during real incidents, not before. We design and run controlled chaos experiments that expose weaknesses, validate resilience, and give your team practice responding before customers are affected.
Our capabilities include:
- Chaos experiment design and execution
- Failure injection for compute, network, and dependencies
- Kubernetes and container chaos testing
- Game day planning and facilitation
- Resilience validation and reporting
- Chaos engineering program development
Who we support
Redundancy on paper isn’t resilience. We help teams prove their systems can handle failure by testing before production forces the lesson.
Teams That Haven't Tested Failover
You've built redundancy and recovery mechanisms but never actually tested them. Chaos experiments prove what works and expose what doesn't before a real incident runs the test for you.
Companies With Recurring Incidents
The same types of failures keep causing outages. Your fixes address symptoms but miss root causes. Controlled experiments reveal the deeper weaknesses your incident reviews aren't catching.
Organizations With Complex Systems
Microservices, distributed databases, multi-region deployments. Failure modes are unpredictable and interactions are hard to reason about. Chaos testing shows how complexity actually behaves under stress.
Ways to engage
We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.
Staff Augmentation
Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.
Retainer Services
Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.
Project Engagement
Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.
We'll spec out a custom engagement model for you
Invested in creating success and defining new standards
At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.
Why choose Curotec for chaos engineering?
Our engineers design experiments that test resilience without taking down production. We start small, control the blast radius, and build toward confidence. You get proof that your systems handle failure, not just hope and untested runbooks.
1
Extraordinary people, exceptional outcomes
Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.
2
Deep technical expertise
We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.
3
Balancing innovation with practicality
We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.
4
Flexibility in our approach
We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.
Controlled chaos that proves what works
Steady State Definition
Automated Chaos Pipelines
Network Partition Testing
Dependency Failure Simulation
Regional Failover Validation
Incident Response Drills
Tools and technologies for breaking things safely
Chaos Platforms & Frameworks
Our engineers use platforms that orchestrate failure experiments with safety controls, scheduling, and rollback built in.
- Gremlin — Commercial chaos platform with failure-as-a-service, safety controls, and attack scenarios for compute, network, and state
- Chaos Monkey — Netflix’s open-source tool that randomly terminates instances to test system resilience against unexpected failures
- LitmusChaos — Cloud-native chaos framework with experiment libraries, GitOps integration, and Kubernetes-native workflows
- Chaos Toolkit — Open-source automation framework for declaring and running chaos experiments with extensible drivers
- Steadybit — Enterprise chaos platform with team collaboration, experiment scheduling, and integration across cloud environments
- Pumba — Container chaos tool for Docker environments with network emulation, stress testing, and container manipulation
Cloud Provider Chaos Services
Curotec configures managed chaos services from AWS, Azure, and GCP that integrate with your existing infrastructure.
- AWS Fault Injection Simulator — Managed service for running chaos experiments on EC2, ECS, EKS, and RDS with safety guardrails
- Azure Chaos Studio — Microsoft’s chaos engineering service with fault libraries for VMs, AKS, Cosmos DB, and networking
- GCP Fault Injection Testing — Google Cloud tools for simulating failures in Compute Engine, GKE, and Cloud SQL environments
- AWS Systems Manager — Automation documents for controlled instance termination, network disruption, and stress testing
- Azure Load Testing — Load generation with failure injection capabilities for testing application behavior under stress
- AWS Resilience Hub — Resilience assessment and testing recommendations with integration into fault injection workflows
Kubernetes Chaos Tools
We run container and pod chaos experiments using tools designed for cloud-native environments and orchestration layers.
- Chaos Mesh — Open-source chaos platform for Kubernetes with pod, network, and I/O fault injection through a visual dashboard
- Kube-monkey — Netflix Chaos Monkey implementation for Kubernetes that randomly deletes pods to test cluster resilience
- PowerfulSeal — Kubernetes chaos testing tool with pod killing, network failures, and scenario-based experiment definitions
- Kraken — Red Hat chaos tool for OpenShift and Kubernetes with node disruption, pod failures, and zone outages
- Chaoskube — Lightweight tool that periodically kills random pods in a Kubernetes cluster to test self-healing
- Pod-delete — LitmusChaos experiment for terminating pods and validating Kubernetes self-healing and rescheduling behavior
Network Fault Injection
Our teams simulate latency, packet loss, and network partitions to test how services handle degraded connectivity.
- tc (Traffic Control) — Linux kernel tool for simulating latency, packet loss, bandwidth limits, and network degradation
- Toxiproxy — TCP proxy for introducing latency, timeouts, and connection failures between services in test environments
- Comcast — CLI tool for simulating poor network conditions including latency, bandwidth throttling, and packet loss
- Pumba netem — Network emulation commands for Docker containers with delay, loss, corruption, and rate limiting
- iptables — Linux firewall rules for dropping packets, blocking ports, and simulating network partitions between hosts
- Blockade — Docker-based tool for creating network partitions and failures between containers during testing
Observability During Experiments
Curotec instruments experiments with monitoring so you see exactly what happened when failures were injected.
- Datadog — APM and infrastructure monitoring for correlating chaos experiments with system behavior and performance impact
- Grafana — Dashboards for visualizing metrics during experiments so teams see exactly how failures affect the system
- Prometheus — Metrics collection that captures system state before, during, and after chaos injection for comparison
- Honeycomb — Observability platform with high-cardinality queries for debugging complex failure scenarios and tracing cascading effects
- OpenTelemetry — Instrumentation framework that captures traces and metrics during experiments for root cause analysis
- PagerDuty — Incident management integration for tracking alerts triggered during experiments and validating response workflows
Game Day & Runbook Tools
We use collaboration and documentation tools that help teams run exercises and capture learnings systematically.
- Confluence — Documentation platform for runbooks, experiment results, and post-chaos learnings that teams reference during incidents
- Notion — Collaborative workspace for planning game days, tracking experiment hypotheses, and documenting findings
- Rundeck — Runbook automation that executes predefined response procedures so teams validate their documented steps work
- Blameless — Incident management platform with retrospective templates for capturing chaos experiment learnings systematically
- FireHydrant — Incident response tooling for running game days with communication channels, role assignment, and timelines
- Miro — Visual collaboration boards for mapping failure scenarios, diagramming blast radius, and facilitating team exercises
FAQs about our chaos engineering services
Is chaos engineering safe for production?
Yes, when done right. We start with small experiments, define clear blast radius limits, and have rollback plans ready. The goal is controlled learning, not causing outages. You learn more from production than staging, but safety comes first.
Where do we start if we've never done this?
Start with something simple like terminating a single instance or injecting latency on a non-critical path. We help you define steady state, form a hypothesis, and run your first experiment with guardrails in place.
How does chaos engineering relate to SRE?
Chaos engineering validates what SRE practices build. Your SRE team designs for reliability with redundancy, failover, and error budgets. Chaos experiments prove whether those designs actually work under real failure conditions.
How often should we run chaos experiments?
Mature teams run automated experiments continuously in CI/CD pipelines. Start with periodic game days, then increase frequency as confidence grows. The goal is ongoing validation, not one-time testing.
What if an experiment causes a real outage?
That’s why blast radius control matters. We design experiments with clear scope limits, monitoring, and automatic rollback. If something goes wrong, you stop immediately. A small controlled failure is better than a surprise production incident.
Do we need good observability first?
It helps significantly. You can’t learn from experiments if you can’t see what happened. We often help teams improve monitoring alongside chaos engineering so they capture meaningful data from every experiment.
Ready to have a conversation?
We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.
