Five Minute Briefing - Data Center
May 3, 2021
Five Minute Briefing - Data Center: May 3, 2021. Published in conjunction with SHARE Inc., a bi-weekly report geared to the needs of data center professionals.
BMC has introduced the new AI-driven IT Operations (AIOps) and AI-driven Service Management (AISM) capabilities for the BMC Helix portfolio that will enable IT service and operations teams to predict issues better, resolve them faster, and provide always-on service. These capabilities are powered by the new BMC Helix Platform, which delivers open, cross-domain engagement, observability, and actionability.
IBM has announced innovations across its storage portfolio, including the revamped model ESS 5000, now delivering 10% greater storage capacity, and the new ESS 3200 which offers double the read performance of its predecessor.
IBM announced first-quarter 2021 earnings results. The company announced GAAP EPS from continuing operations of $1.06, Operating (non-GAAP) EPS of $1.77, and revenue of $17.7 billion. Systems (including Systems Hardware and Operating Systems Software) had revenues of $1.4 billion, up 4.3% (up 2.2% adjusting for currency), led by IBM Z.
IBM has a definitive agreement to acquire Turbonomic, an application resource management (ARM) and network performance management software provider based in Boston. The acquisition will provide businesses with full stack application observability and management to assure performance and minimize costs using AI to optimize resources—such as containers, VMs, servers, storage, networks, and databases. This will ensure they can efficiently assess and manage the performance of any application, anywhere.
News From SHARE
The refreshed website is complete and was officially released to the world on April 15, 2021. When you first arrive at the new website, you'll find easy and intuitive navigation plus more information at your fingertips from the home page.
Think About It
You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ironic that the age of big data has coincided with a long-term slide in data administration and modeling in many organizations. This is not a situation that should continue to be tolerated.