Premium Samba Support
PrimaStasys and our German partner company SerNet are the only independent systems integrators who directly hire full-time Samba core team resources. Our CTO, John H Terpstra, is one of the early Samba Team members (since 1995) and the key author of the official Samba documentation.
PrimaStasys has assisted thousands of sites to obtain more reliable and scalable Windows network solutions. Click HERE to request a FREE Needs Assessment now.
Clustering Services
Cluster Services form a core component of a growing number of corporate network environments. Your business can benefit from Clustering through:
- Increase server uptime (availability)
- Expand load handling abilities (scalability)
- Expand computational ability at lower cost (efficiency)
- Reduce transaction processing time (performance)
Availability
High-availability clusters primarily address the problem of server failure. A high-availabilty cluster (HA Cluster) is comprised of a group of servers that provide fail-over capability in case one system fails or drops out of service. PrimaStasys can help you to select the right Open Source fail-over clustering tools that are right for your business. We have successfully architected fail-over clusters for storage systems (SAN and NAS) and for mission critical business services such as SQL, Web serving, and directory services. Red Hat Cluster Services provides a cost effective method of providing fail-over clusters.
Scalability
If your Windows file serving infrastructure is in need of a significant performance boost - don't delay, call PrimaStasys to design and implement a Samba-ctdb cluster today. Samba-ctdb provides a parallel server solution to meet Windows CIFS client file serving needs. Samba-ctdb is capable of presenting a group of Samba servers and makes them appear to the Windows client as a single machine. CTDB is the component that replicates client connection state information so that in the event of node failure the cluster will just keep working.
A Samba-ctdb cluster is often not complete without a clustered storage solution. We have designed storage clusters with up to 3 petabytes of storage. Storage clustering strategies include: availability, scalability, and redundancy. Storage clusters often utilize iSCSI storage, data replication, and file distribution across back-end file systems. PrimaStasys offers FREE consultation to determine how your business can benefit from a modern, cost-effective clustering solution.
Efficiency and Performance
If your business needs increased computing power, or more reliable computing services, the decision to purchase a larger costly server should always be compared with the cost of a cluster of smaller servers. Call PrimaStasys today to discuss your computional expansion or development needs.Clusters Articles
Samba 3.2 Adds Clustering - Samba 3.2 adds the ability to work with distributed file systems, such as GLustre, IBM's GPFS and Red Hat's GFS, to provide clustered file server systems. Samba-based clustered file server systems offer full Windows file-sharing semantics.
Samba Active/Active HA Cluster - Presenation by Thomas Merz at SambaXP in 2006.
Beowulf Clusters - "Beowulf Clusters are scalable performance clusters based on commodity hardware, on a private system network, with open source software (Linux) infrastructure. The designer can improve performance proportionally with added machines. The commodity hardware can be any of a number of mass-market, stand-alone compute nodes as simple as two networked computers each running Linux and sharing a file system or as complex as 1024 nodes with a high-speed, low-latency network."
Red Hat Cluster Suite - For applications that require maximum uptime, a Red Hat Enterprise Linux cluster with Red Hat Cluster Suite is the answer. Specifically designed for Red Hat Enterprise Linux, Red Hat Cluster Suite provides two distinct types of clustering:
- Application/Service Failover - Create n-node server clusters for failover of key applications and services
- IP Load Balancing - Load balance incoming IP network requests across a farm of servers