Resilience

Designing and maintaining resilient cloud systems is a prerequisite for the majority of our projects. Our team satisfy this requirement through the implementation of several key principles that deliver high availability, scalability, and continuity / failover mechanisms suitable for enterprise deployments.

During planning phases our AWS Architects, Solutions Architects, Project Directors and Data Scientists will contribute towards an infrastructure design suited to the demands and budget of the project.

Principles

Plans will incorporate a combination of the following principles:

Resilience: the ability of a system to recover quickly from a failure or disruption. Resilience is achieved by implementing redundancy, failover mechanisms, and backup systems that allow the system to continue functioning even when some components fail.

Scalability: the ability of a system to handle increasing amounts of traffic, data, or workload without compromising performance. Scalability can be achieved by using load balancers, auto-scaling, and serverless architectures that allow the system to add or remove resources dynamically based on demand.

Rapid recovery: Rapid recovery is the ability of a system to recover quickly from failures or disruptions. This can be achieved by implementing automated failover, disaster recovery, and backup mechanisms that allow the system to recover quickly in the event of an outage.

Continuity: the ability of a system to maintain operations in the event of a failure or disruption. This can be achieved by implementing backup systems, redundant components, and failover mechanisms that ensure the system remains operational even during an outage.

Serverless setups: using cloud-based services to manage application logic and infrastructure instead of managing servers. This can help to reduce the risk of failures and simplify the management of the system.

Load balancers: distribute traffic across multiple servers to improve performance and availability. Load balancers can help to manage traffic spikes and provide failover mechanisms in the event of server failures.

Multi-region and multi-provider setups: Multi-region and multi-provider setups involve using multiple regions or cloud providers to distribute workload and reduce the risk of single points of failure. This can help to improve availability and reduce the risk of outages.

Automation: helps to reduce the risk of human error and improve the speed of recovery in the event of a failure. Automating tasks such as backups, failover, and scaling can help to improve the resilience and availability of the system.

Get in touch

The design of a resilient cloud systems is achieved by appropriately combing a selection of these principles into architectural designs. Xanda are trusted by some of the biggest corporate entities in the UK with over 25 years’ experience designing and maintaining infrastructures for thousands of digital projects without any notable cases of failure or down time. We have close working relationships with all major cloud providers including AWS, Microsoft Azure and Google Cloud and our expert team ensure that our environments are professionally designed and deployeed to meet or exceed all client resilience requirements.

To discuss the resilience of your project get in touch for a consulation and an obligation-free service proposal.

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