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Chaos Engineering
THE obstacles
Cloud-Native Systems
Cloud-Native Systems
are Complex
In the quest to bring new digital services to the market rapidly, predicting or recreating every possible condition for proper functionality and performance becomes a daunting challenge. The complexity arises in ensuring the seamless interaction of distributed systems, causing unpredictable outcomes related to network reliability, bandwidth, latency, security, and more.
These uncertainties can lead to disastrous effects for users and IT service administrators.
Trusted By
OUR EXPERTISE
End-to-end Chaos Engineering Services
INFRASTRUCTURE
Ensuring distributed applications continue to work in the event of a host failure and upscale or downscale as per the required configuration.
NETWORK
Simulating network latency, bandwidth, and jitter to verify the resilient programming of distributed applications.
APPLICATION
Simulating application crashes via exceptions or process kills.
THE OUTCOMES WE DELIVER
Resilient Digital Systems
ACCELERATED INNOVATION
Accelerate experimentation while minimizing risk, allowing for rapid iteration and innovation. Gain immediate insights into system performance under pressure, enabling proactive adjustments to optimize outcomes.
BUSINESS CONTINUITY
Prevent business disruptions from system failures with proactive identification of weaknesses. Ensure seamless operation of interdependencies and minimize downtime by identifying and resolving defects before they impact users.
OPERATIONAL EFFICIENCY
Ensure cost and time savings with scalable contingency plans for system outages. Maintain business continuity by seamlessly reverting systems to their original states without user impact.
ENHANCED USER EXPERIENCE
Improve user satisfaction by proactively identifying and mitigating potential system failures, ensuring uninterrupted service delivery and smooth user interactions.
WHY CHOOSE US
Reasons to Partner with Us
Innovation Leadership
Partner with a leader in cloud innovation, driving transformative strategies that align with your business goals.
Accelerated Time-to-Market
Experience an agile approach that accelerates development cycles, ensuring your ideas become reality within an expedited time-frame.
Proprietary Accelerators
Leverage our home-grown cloud-native accelerators to streamline development, reduce complexity, and enhance application portability.
// FAQ
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Frequent Questions
What is Chaos Engineering?
Chaos Engineering is a discipline that aims to proactively identify weaknesses and vulnerabilities in a system by deliberately introducing controlled chaos. This involves simulating real-world failures and testing the system's resilience under such conditions.
How does Chaos Engineering benefit my organization?
Chaos Engineering helps organizations improve their system's reliability, identify weaknesses before they impact users, validate assumptions about system behavior, and ultimately build more resilient systems capable of withstanding unexpected failures.
What types of chaos experiments are typically conducted?
Common chaos experiments include injecting latency into network requests, shutting down or scaling resources, introducing faults in databases, simulating high traffic loads, and triggering software failures to assess system behavior under stress.
Is Chaos Engineering suitable for all types of systems?
While Chaos Engineering can be applied to various systems, its effectiveness may vary depending on factors such as system complexity, maturity, and criticality. It's essential to assess each system's characteristics before planning and executing chaos experiments.
What level of involvement is required from our team during chaos experiments?
Collaboration between our team and yours is essential for successful chaos experiments. Your team's domain knowledge and insights into system behavior are invaluable for designing relevant experiments, interpreting results, and implementing improvements based on findings.
How often should chaos experiments be performed?
The frequency of chaos experiments depends on factors such as system stability, rate of change, and organizational risk tolerance. Ideally, chaos experiments should be conducted regularly as part of a continuous improvement process to validate system resilience and adapt to evolving challenges.
Can Chaos Engineering be integrated into our existing DevOps practices?
Yes, Chaos Engineering complements DevOps practices by promoting a culture of resilience, continuous experimentation, and learning. It can be seamlessly integrated into existing CI/CD pipelines and automated testing frameworks to ensure that resilience is prioritized throughout the software development lifecycle.
How do you measure the effectiveness of Chaos Engineering experiments?
The effectiveness of chaos experiments is measured based on predefined metrics such as system availability, response time, error rates, and user satisfaction. Observability tools and monitoring systems are used to gather real-time data during experiments, allowing teams to analyze the impact and draw meaningful conclusions.
How are chaos experiments conducted in a controlled manner?
Chaos experiments are carefully designed and executed in a controlled environment using tools and techniques that ensure the safety of production systems. Strategies such as canary deployments, feature flags, and gradual rollouts help mitigate risks during experimentation.
What are the potential risks associated with Chaos Engineering?
While Chaos Engineering aims to uncover weaknesses in systems, there are inherent risks involved in conducting experiments that simulate real-world failures. These risks include potential service disruptions, data loss, and unintended consequences. However, with careful planning, communication, and mitigation strategies, these risks can be minimized to ensure a safe and productive experimentation process.
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