High availability as the norm
Once we have a good picture of your business context, if it’s clear that continuous service is a business requirement, we’ll design a high-availability infrastructure, where all outage scenarios are identified and covered As well as considering our own managed cloud infrastructure, we’ll take account of customer-specific virtual environments you’re planning to run there. Using technologies such as database replication, load-balancing and file replication, we’ll ensure that if any one component goes down, your services aren’t taken down with it. And that individual components can be taken off line for maintenance without affecting service availability.
Dual datacenter en multi-cloud
Databalance has its own data centres and various cloud platforms, meaning that we can deliver our services using multiple clouds and multiple locations. So, for example, we can connect on-premises infrastructures to our clouds, replicate data between continents, synchronise SaaS services with customer systems and interface with third-party clouds such as Azure and AWS. In short, there’s always a way to optimise and safeguard your (online) service availability that matches your business context and requirements.
High availability is more than a design
With 24/7 all-system monitoring, we’re able to intervene swiftly if a problem occurs. Better still, we can pre-empt issues such as disc overloads and ensure that ample system resources are always available. But, no matter how good a high-availability design may be, collaboration, governance and operational agility are required to ensure that the design remains optimised for the current requirements, and that prompt preventive intervention is always possible. High availability is the product of a continuous process of learning, development and adaptation.
