Cloud-Native Systems Are Complex Distributed Systems

As businesses look to get new digital services to market quickly and ahead of competition, it can be difficult to anticipate or recreate every possible condition to ensure proper functionality and performance. Assuring individual service performance is not enough when dealing with distributed systems running at scale. When digital services interact with other services in a distributed system, you often get unpredictable and chaotic outcomes related to network reliability, bandwidth, latency, security, admin requirements and more. This can have a disastrous effect for users and IT service administrators.

Seamless Chaos Engineering with the Latest Digital Technologies

Apexon uses Chaos Engineering to help organizations build fault-tolerant and robust cloud-native applications to accelerate digital transformation. These services are an integral part of Progressive Delivery, based on the principle of experimenting with new functionality on distributed systems in order to test true performance. It is essentially a controlled experiment for your digital services in production, building confidence in the ability of those systems to function properly in real conditions. This enables delivery teams to address weaknesses proactively, minimizing downtime, SLA breaches, and negative business impact.

End-to-end Chaos Engineering services

We help organizations build fault-tolerant and robust cloud-native applications to accelerate digital transformation. We currently focus on the following areas for Chaos Engineering: Infrastructure Ensuring Distributed Application continues to work in an event of a host failure and upscales and downscale as per the required configuration Network Simulate network latency, bandwidth, jitter to verify the resilient programming of Distributed Applications Application Simulate application crashes via Exceptions or process kills

FAULT-TOLERANT & ROBUST COMPLEX DIGITAL SYSTEMS

Advantages of our Chaos Engineering services Accelerated Innovation

• Experiment faster with less risk
• See in real-time how a system responds to pressure
• Identify opportunities for improvement sooner Business Continuity
• Minimize potential business disruptions caused by failure of complex and distributed systems with pro-active understanding of weaknesses
• Ensure that all the interdependencies in the complex system work seamlessly
• Minimize downtime by identifying and resolving defects in the system before they break unexpectedly and hurt the business and users Operational Efficiency
• Save cost and time with contingency plans at scale to respond to system outages
• Continue business-as-usual, even after system failure by reverting systems back to their original states without impacting users

Our Mobility & Frontend Web Development Environment

Apexon follows a disciplined process with several key steps that dictate how we design Chaos Engineering experiments. The degree to which we can adhere to these steps correlates directly with the confidence we can have in a distributed system at scale.

• Identify metrics and values to define steady state of system
• Hypothesize it will work well for control group and experimental group
• Introduce variables that reflect real world events like servers that crash, dependencies that fail etc
• Stimulate environment using introduced variables to disapprove set hypothesis
• Manage the blast radius by ensuring that the fallout from experiments are minimised and contained