Introducing the Next Generation of Hyperconverged Infrastructure
Key Benefits & Advantages
The power of NVMe PCIe flash dramatically accelerates performance, improves response times, increases density and reduces cost.
Lower Capex & Opex
Run more virtual machines per node and simplify performance management with intelligent automation.
The simplicity of policy-based management lets IT consolidate more applications and guarantees service delivery with predictable performance.
Guarantee predictable performance for critical applications that power business success.
The intelligence of automatic workload prioritization simplifies management of performance and data protection based on business priorities.
Confidently consolidate multiple enterprise application workloads on a single infrastructure.
Advanced Quality of Service
Pivot3’s fifth-generation quality of service (QoS) engine enables IT to confidently consolidate multiple mixed workloads on a single infrastructure and deliver guaranteed, predictable application performance. Simple, pre-defined policies ensure IOPS, throughput, latency and data protection are all easily applied and managed.
Through automated resource prioritization, mission-critical applications take performance priority during times of resource contention and real-time data management ensures the performance targets are automatically sustained, giving IT the confidence to guarantee service for existing and newly deployed workloads.
Advanced QoS Components
Each application workload is unique, which is why Pivot3 customers can assign an appropriate performance policy to each one. QoS performance policies define performance targets for each workload that manage minimum IOPS and throughput, and maximum latency. QoS policies are assigned when a volume is created and can be changed on-the-fly as business needs require. By automating policy changes, QoS scheduling give IT the agility to support the business as application priorities and workloads change.
Each QoS policy has a corresponding Service Level that governs how each one is prioritized when the system is under load. There are three service levels built into the QoS engine: Mission-Critical, Business-Critical, and Non-Critical, and each is pre-assigned to QoS policy. They instruct the system on how important it is to maintain each QoS policy’s targets. For example, if there’s resource contention, QoS policy 1 (Mission-critical) will be maintained by prioritizing its I/O requests over Non-Critical workloads first, and Business-Critical workloads, if necessary.
Dynamic QoS manages where data is stored in real-time (RAM, PCIe flash, SSD or HDD) to ensure performance Service Levels are met. The caching and tiering algorithms of the system are directly tied to the QoS policies and priorities to ensure that the right data is placed in the appropriate storage medium to deliver on the specified performance targets. The data is moved between tiers in real-time as workloads change, ensuring predictable performance and the most efficient use of system resources.
Data protection QoS provides policy-based management and automation of snapshots and their retention to best align with data protection needs. Policies can be applied to volumes or groups of volumes, and can be scheduled, allowing customers to set pre-defined schedules for both performance and data protection policies that can change automatically at pre-determined times. A queuing mechanism ensures that mission-critical jobs go to front of the queue to be executed first, business-critical jobs next, and finally, non-critical jobs.
Broad Data Services and Hardware Platforms for Enterprise IT Needs
Acuity comes with a comprehensive set of data services, including Pivot3’s patented erasure coding. Additional data services include snapshot and clones, application-integrated data protection, data reduction, and integrations with VMware vSphere and VMware vCenter. Acuity runs on a broad set of HCI nodes, including Pivot3’s new Flash and Hybrid Accelerator nodes and Flash and Hybrid nodes. All nodes offer flexibility in capacity, CPU, RAM and graphics cards to meet specific use case requirements.