Meshery helps users weigh the value of their cloud native deployments against the overhead cost incurred in running different deployment scenarios and different configurations. This empowers them with much needed information they require to optimize decision making for the business.
Predefined patterns and profiles are already setup to make the configuration of service mesh and its features simpler both to understand and execute. This reduces the learning curve required to implement complex service mesh functionalities. Less time spent learning means appropriate utilization of resources which further minimizes incurred cost.
Make use of our established service mesh patterns since they promote best practices for handling incidents and failures and will guide you on how to design and configure your service mesh for optimal resilience.
Find in our playbooks, step-by-step procedures for identifying, diagnosing, and resolving common incidents that can occur in service mesh environments.
Use Meshery's integration of the Chaos Toolkit and our readily available chaos experiment template to mitigate cost when you streamline and speed up workflow while defining and executing controlled chaos experiments on your service mesh deployments.
Accurately monitor applications and infrastructure during chaos tests. Using data-driven insights gained from monitoring, you are able to observe how the system behaves under stress and when failures occur and then make improvements in your architecture using this information.
Streamline and accelerate workflow while you monitor infrastructure during controlled chaos tests and thus diminish cost.
Further use data insights gathered while monitoring to optimize your architecture.
Spend less time learning and execute more with predefined service mesh patterns that allow accurate configuration and management of service meshes.
Reduce human error, adjust traffic routing, and de-provision services when no longer required.
Integrate tools already in use and get rid of potential frustrations that could hinder maximum functionality.
Compare cost incurred in running scenarios and configurations to value of deployed resources.
Predefined patterns provide design guides for configuration of service meshes to ensure resilience.
Incorporation of chaos engineering tools facilitates conduction of controlled chaos experiments.
Kanvas eliminated our 'YAML hell' overnight! What used to require three engineers and two weeks now takes one person an afternoon. The intuitive design interface is so powerful that complex microservice deployments have become effortless and error-free.
Maintainer at Layer5
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