By Ashok Rajagopalan |
In the proverbial quest to align the right price/performance costs with the value of the data, IT ends up with storage silos. This creates significant operational challenges and lock-in scenarios from hardware storage vendors.
So one option is… store everything on flash! Makes sense right?
Yes, except that it is too expensive, and might not be aligned with the economic value of the data in those flash devices.
Datera answer is smart software that runs on standard x86 servers at performance and latency of enterprise-class storage! Through its policy driven and smart placement architecture, Datera Elastic Data Fabric enables customers an easy way to program the right storage technology to be aligned for the value of the data. And as the value of data changes over time, customers can easily move workload transparently across different storage platforms through simple policy changes. The end result? Unmatched operational efficiency with high performance, low latency solution that drives the absolute lowest TCO! And no hardware lock-ins!
By Anne Smith |
We are back from The OpenStack Summit 2017 (held at Hynes Convention Center, Boston, MA). What a great show! It included talks on numerous topics comprised of presentations, panels, workshops, and educational opportunities through OpenStack Academy. Topics spanned cloud strategy and business case development to operational best practices and technical deep dives. There were a lot of great attendees and companies plus a guest keynote – Edward Snowden.
By Anne Smith |
OpenStack Summit is here! Open source has had a major impact over the past few years offering a proven way of collaborating to create technology. Incredible things take place when people can share and build together.
Datera is committed to the open source community and is a contributor to various Linux and OpenStack projects including Nova, Cinder, and Glance. In addition, Datera is the primary contributor and maintainer of Linux target mode stack, Linux-IO Target (LIO™)1 and various IO path modules for the Linux kernel. Datera continues to contribute patches and enhancements to the community. These contributions are widely adopted in the industry and are one of the primary drivers for the emergence of the software defined storage market and its use of Linux based storage targets.
One of the many benefits of Datera software is its “any orchestration stack” that supports VMware, Kubernetes, OpenStack, CloudStack, Docker, and Mesosphere for today’s agile business; its all-flash and hybrid flexibility; and how it aligns cost with performance.
By Ashok Rajagopalan |
Taking the scale-out paradigm to the next level, Datera 2.2 release support native L3 network integration as part of the scale-out control plane.
Cloud solutions are built on the foundation that resources are aggregated into scalable pools. For scale-out distributed systems, the datacenter network effectively becomes the “backplane.” Typical deployments require the flexibility to scale-out storage nodes beyond a single rack, primarily for two reasons: First, to build inter-rack redundancy to handle rack failures, and second, to drive intra-rack compute “locality,” reducing storage traffic across the network core or spine. Effectively, a desired deployment option for large enterprise and cloud service providers has been to scale storage nodes across multiple racks and provide “rack local storage” to try and contain storage traffic within racks. However, architecturally, nothing prevents remote rack compute instances from accessing this storage.
In cloud deployments, IP-based storage (iSCSI) is becoming ubiquitous. iSCSI is a simple method for the compute nodes to connect to storage. Network-based access control enforcement is another desired approach. Datera Elastic Data Fabric provides the notion of virtual IP address(es) for the iSCSI target port for a provisioned LUN. These virtual IP addresses provide the flexibility to float among the various Datera nodes – either due to cluster-wide load balancing or when node failures occurs. From the compute perspective, such activities are transparent and have no impact to the compute environment.
The traditional problem with iSCSI target port failover in classic L2 network topologies is that the virtual IP address can’t “migrate” outside of the rack in which it was originally provisioned, as that would imply crossing outside of the L2 subnet. This is addressed by iSCSI redirects in the native iSCSI protocol, where on a node failure, the connection gets pointed to a name service that will advertise the appropriate target port IP address, even across different L2 subnets. While this solution is transparent to the compute nodes, network security and access control solutions might be impacted due to the “change” in the target port IP address. Datera supports iSCSI redirects for target discovery and failure handling in data center environments, where the networking-based security and access control enforcements are not relevant.
By Ashok Rajagopalan |
Enterprises are looking to leverage the blueprints of web-scale computing to transform their data centers. Web-scale computing allows data centers to be built with the intelligence for scalability, and reliability in software using commodity hardware. This helps transform these data centers to become more agile. Cloud service providers such as Amazon, Google, and Facebook, are very successfully demonstrating this new paradigm to deliver IT services with high level of availability at a very low cost. Enterprises continue on their journey towards refactoring their on-premise infrastructure based on the blueprints of the public clouds such as AWS, Azure, and GCP.
This journey entails enterprises transitioning to next generation software defined technologies while leveraging investment in existing hardware. Several cultural shifts also are required to achieve this goal towards agile infrastructure. Broadly speaking, some of the core tenants are: