DataSynapse GridServer Monitoring

ClearStone for DataSynapse GridServer (Formerly DataSynapse Versavision)

The ClearStone DataSynapse GridServer Management Pack enables comprehensive DataSyanpse GridServer monitoring and performance tuning. It is a complete automated grid reporting and chargeback solution for enterprise compute grids.

ClearStone for DataSynapse GridServer provides insights into usage, performance, and financial metrics for compute grids, and allows users, operational staff, and architects to meet targeted performance levels with optimal resource utilization. Using Evident ClearStone, IT departments get the information they need in order to improve demand management and to support more dynamic provisioning. ClearStone analytics provide the objective means to determine whether resource sharing across grids is practical based on workloads, service performance, historical trends, and available resource types.

Using ClearStone DataSynapse GridServer monitoring, you can answer questions like these:

Can you provide the insight into utilization required to define policies that automate and maximize usage across DataSynapse grids?
Do you know where “white space” for increased workloads is available across the enterprise?
Are you spending more than 20 days a year building reports for DataSynapse GridServer capacity planning, workload optimization or trend analysis?
Can you determine DataSynapse GridServer performance, usage drivers and workload allocation by business or service?
Do you need to convince business units of the DataSynapse grid’s utilization and demand drivers? Do you need to manage demand or recover costs through usage-based chargebacks?

Evident ClearStone for DataSynapse GridServer is a monitoring platform for usage, performance, and chargeback reporting, backed by a robust data warehouse, which collects, consolidates, summarizes and analyzes data across DataSynapse grids.

Off-grid metrics critical to tuning overall performance – such as the distributed caches and middleware – can be integrated so that resources are optimized for specific workloads. ClearStone’s DataSynapse GridServer monitoring supports 50 standard reports which can be customized by users and which analyze usage and performance by service, location, job and task level. ClearStone analytics can identify whether under-utilized capacity allows for resource sharing across DataSynapse grids based on workloads, performance, trends and available resources. ClearStone’s chargeback reporting — with rating for dedicated, harvested and scavenged machines — enables a fair economic model in shared services/private cloud environments.

A sample ClearStone daily report for an equities service shows requests, compute time, and SLA performance for DataSynapse GridServer.

A ClearStone report on DataSynapse GridServer batch times.

A ClearStone report on application requests in a multi-tenant DataSynapse grid environment.

Evident ClearStone DataSynapse GridServer monitoring is in production in environments with over 30,000 engines, analyzing over 40M tasks/week. Its reports answer critical performance and usage questions faster that traditional reporting tools or database-dependent products that force engineers to craft and submit queries.

Benefits

Single data store for enriched DataSynapse GridServer monitoring data – allowing views for different audiences (e.g. the business user, operational staff, and IT architects)
Optimized Stored Procedures functions (ETLs) summarize and format data for reporting – allowing quicker report generation
Open data access for custom reporting or data mining with third-party tools

Grid Chargeback for DataSynapse GridServer

Sharing compute grid engines in a “private cloud” can increase IT efficiency, increase business agility, and reduce costs. Engines “owned” by a specific group can be shared when they are free to process tasks from other applications.

To take full advantage of a private-cloud operating model, enterprises need an automated solution for metering and rating (costing) the sharing of non-dedicated grid resources. The ability to charge for the time consumed eases the adoption of shared resource pools, and helps realize the economies of scale from more fully utilized resources.

Knowing that they can accurately charge for the use of their resources makes DataSynapse grid owners more willing to contribute their resources to a shared pool.

Evident ClearStone offers enterprises:

The ability to charge based on the elapsed time of task on an engine by service
Support for multiple rate classes for different types of engine configurations (dedicated, scavenged, desktop)
Detailed reports and summaries of cross-chargeback data