Boemska ESM brings unparalleled visibility to complex analytic workloads running on shared multi-user environments.
Whether you depend on your platform to deliver business-critical regulatory reporting, or to support the self-service analytics demands of your interactive users, ESM will keep your platform performance stable and predictable, controlling cost and enabling optimal efficiency at scale.
“We no longer need to stay awake until 2am to identify resource conflicts that threaten our regulatory batch runs. In addition, whereas some of our interactive users would bring our shared platfrom down at least once a week, since deploying ESM we have enjoyed 11 months without a single major incident.“
SAS Administrator, Npower
“Within 24 hours of installing ESM, we were able to identify and fix a long standing issue that was causing our analysts to suffer unacceptable delays when running their forecasts. After the recommended change, our application response times dropped back to seconds, and thanks to ESM, our effective capacity tripled.“
IT Support Manager, Frontline
“Our implementation of ESM helped CZ enhance the load process enormously. We process billions of rows on a daily basis, and where detailed performance information was previously missing, thanks to ESM we were able to optimise our data load processes so that they finish by early morning instead of the late afternoon.“
Cluster BI, CZ Groep (cz.nl)
Right-size your cloud infrastructure. Reduce the number of incidents, accelerate time-to-resolution, and eliminate missed SLAs on your business-critical data platforms.
Substantially increase your effective operating capacity through advanced batch schedule optimisation, performance tuning and by enabling cooperative resource sharing.
Easily create accurate chargeback reports that show the departmental breakdown of platform resource use for cost re-allocation in multi-tenant environments.
Enable self-service root cause analysis and workload management. Empower users and inspire confidence in quality of development before it is promoted to production.
ESM was built from the ground-up with one primary purpose: to solve the challenge of understanding and managing mixed analytic workloads on enterprise-scale data platforms.
For more detailed information about how ESM does this, click here.