See What You’ve Been Missing: Proactively Spot and Solve Performance Problems
Posted in tech
It’s not easy to diagnose performance problems in the average enterprise today, because poor visibility makes it difficult to locate the source of performance issues. When applications slow down, determining whether hotspots are on the server (compute), network, caches, or storage takes investigation, and few enterprises can afford the time or cost of a trial-and-error hunt for the root cause of the problem.
DataSphere transforms this process with metadata-driven insight and analytics. By gathering telemetry on clients, DataSphere enables IT admins to see which applications are generating the workload and the performance each client receives. It also gathers performance information across all storage resources integrated into the global dataspace.
In addition, DataSphere charts workloads historically. This allows administrators to make decisions based on whether a workload spike is a one-time or recurring event. Importantly, DataSphere makes all this information available from a single UI to finally enable administrators to view data and storage performance across the datacenter. The diagram below illustrates how admins can easily view the IO activity of files:
Fig. 1: DataSphere charts workloads historically, helping
administrators better manage data.
Figure 2. Admins can view all storage systems’ performance
and capacity from a single pane of glass.
Once admins locate performance problems, resolving them can be challenging because fixes frequently require data to be migrated, which might also require application downtime and potential business disruption.
DataSphere makes remediating problems simple in the following ways:
- Data-centric, policy-based management. DataSphere allows
administrators to assign policies that define data performance (IOPS, bandwidth,
latency) and protection (availability, durability, security) objectives. Admins
no longer have to determine whether a particular storage system can meet
application owners’ requirements. They can create the policy, and let
DataSphere handle the placement of data on the ideal storage for the job.
- Non-disruptive, automated remediation. When data falls out of
compliance with policy, DataSphere can move data to another storage system that
can meet data’s objectives, without impacting the application. This eliminates
the complexity of planning migrations to avoid disrupting business continuity.
- Scale out any storage type. DataSphere enables admins to add
performance and capacity of any storage type, as needed, automatically
rebalancing workloads according to the data’s policies. DataSphere enables
organizations to scale out any storage, including server flash, SAN, NAS, and
cloud/object storage, as needed. This reduces the need to overprovision, which
can save organizations a ton of money. It also makes life easier for IT since, when
IT receives a new storage request, they no longer have to figure out which of
their suitable storage devices have capacity for the new app or, if IT has to
deploy more storage, how and when to redistribute existing data.
- Smart, granular control. DataSphere gives admins file-level control
over all data in the global dataspace, while making it easy to apply them via
Smart Objectives. Smart Objectives apply objectives to data dynamically using
rules and conditions. For example, admins can apply objectives by matching file
type extension patterns, such as .log, .tmp, .dat or .sql. Smart Objectives can
also apply objectives to data based on file activity or inactivity. For
example, admins can apply objectives to a share that ensures that all files in
a share that have been accessed in the last day are placed on storage that can
deliver 10,000 IOPS, 100MB/bandwidth, and .5ms latency and that all files in
the share that have not been accessed in the last 30 days get moved to
DataSphere makes data management easy by delivering comprehensive visibility into application’s data access and storage use, while automating remediation of hot spots non-disruptively across any storage customers choose to deploy. Want to learn more? Connect with us at email@example.com.