Built for Scale

DataTools Cloud services are more consistent, predictable, and scalable than anyone else - and we can prove it.

We have more server capacity than anyone else and a smooth scaling process mandates a minimum 40% redundancy buffer at all times – all built on the industry leading Amazon Web Services.

That means zero scheduled or unscheduled downtime – which is why Australia’s leading companies choose DataTools for their address capture and verification solutions.

  • Robust and Reliable

    DataTools understand that reliability is of the utmost importance. DataTools Cloud servers are housed at Amazon Web Services (AWS) state-of-the-art, highly-available data centre located in Sydney Australia.
  • Set and forget

    The service is fully maintained for you by DataTools. DataTools Server Specialists will look after all server updates including security patches and data file updates without you or your IT team needing to worry about anything.
  • Capacity

    DataTools Shared Server Clusters contain a minimum of 20 large servers in the Amazon data centre located in Sydney. For increased reliability the servers are evenly split over 5 isolated Availability Zones connected through low-latency links.
  • DataTools performs server updates with no down time

    DataTools follows a rigorous process to eliminate possible down time during updates. The process begins with the creation of a new “Pre-Release” server image – based on the current production image – that is isolated from the production servers. The Pre-Release server is then updated with all the latest server and security patches followed by the installation of the DataTools software and data file updates. The server is then put through a thorough testing and QA phase before being given the OK for deployment into DataTools Dev\UAT environment for customer testing for a pre-release period of 1 week. The deployment process into the DataTools Production environment involves the creation of a new server from the Pre-Release image for every existing server in the Production Cluster. Once all the new servers are up and running, they are added to the Production Cluster, for a while doubling the cluster size. The old servers are then retired from the Production Cluster leaving only the new servers with no down time experienced by the users.
  • Intelligent Load Balancing Cluster Control

    The Intelligent Load Balancing Cluster Control automatically distributes and balances the incoming application traffic among all the servers running, improving the availability and scalability of the DataTools service.
  • 24 Hour Monitoring and Automatic Health Checks

    DataTools Cloud is monitored constantly through automatic custom built health checks that check the vitals of the servers every 3 seconds. If a server is determined to be unhealthy it is automatically removed from the cluster and replaced by a new server image. In addition to the automatic health checks within the data centre two external independent providers Pingdom and Uptime Robot are also set to not only monitor the service availability but also the service performance.
  • Scalability and Auto Scaling

    DataTools constantly monitors server traffic and performance to ensure the base cluster size is adequately handling the expected performance requirements with power in reserve. Pre-empting busy times of the day, week and year. In the event of average CPU usage across the cluster rising above 60% for more than 10 minutes, the cluster will automatically launch additional servers. This process will continue until the cluster’s average CPU usage over a 1-hour period drops to below 15%, at which time a single server will be removed from the cluster (while maintaining an average CPU usage below 60%) until the cluster returns to its base cluster size. Auto Scaling enables the DataTools service to scale and handle instant changes in requirements or spikes in popularity reducing the need to perfectly forecast traffic.
  • Service Commitment

    DataTools uses commercially reasonable efforts to make DataTools Cloud service available with an Annual Uptime Percentage of at least 99.5% during the Service Year. In the event DataTools Cloud service does not meet the Annual Uptime Percentage commitment, you will be eligible to receive a Service Credit.
  • Disaster Recovery

    In the extremely rare event where all 5 isolated Availability Zones in the AWS Sydney data centre were inoperable causing all DataTools servers to go offline. DataTools would enact its alternative AWS data centre disaster recovery plan. In preparation for this plan DataTools stores securely dormant copies of the latest DataTools server images in an offshore AWS data centre ready to be started in event of complete data centre failure. This would allow DataTools to bring the service back online even without the primary AWS Sydney data centre being available.