Digital Transformation Drives Mainframe’s Future

November 15, 2017 / G C Network / Comments Off on Digital Transformation Drives Mainframe’s Future

Packing My Bags For Prague and Dimension Data #Perspectives2015

By G C Network | May 15, 2015

Prague is a beautiful city!  My last time was in June 2010 when Jeremy Geelan invited me to speak at CloudExpo Europe (see my blog post and video from that…

SAP/HANA Does Big Data for National Security

By G C Network | May 13, 2015

Carmen Krueger, SAP NS2 SVP & GM While SAP is globally renowned as a provider of enterprise management software, the name is hardly ever associated with the spooky world of…

Be future ready: Selling to millennials and a marketplace of one

By G C Network | May 12, 2015

There is almost a deafening discussion going on about the self-centeredness of today’s young adults. Weather you call them Generation Y, millennials or twenty-somethings, the general refrain seems to be…

Surviving an Environment of IT Change

By G C Network | May 8, 2015

  “The Federal government today is in the midst of a revolution. The revolution is challenging the norms of government by introducing new ways of serving the people. New models…

OmniTI and GovCloud Join Forces to Provide Cloud-based Services

By G C Network | May 5, 2015

FULTON, Md.–(BUSINESS WIRE)–OmniTI, a leading provider of web infrastructures and applications for companies that require scalable, high-performance, mission critical solutions, today announced that it has partnered with GovCloud Network, LLC…

Cloud microservices make their play

By G C Network | April 29, 2015

 by Kevin L. Jackson Cloud computing seems destined to be the way enterprises will use information technology. The drastic cost reductions and impressive operational improvements make the transition an unstoppable trend.…

Tweeps Are People Too!!

By G C Network | April 25, 2015

I woke up this morning to the devastating news about the earthquake in Nepal. Sitting here in California  that destruction is literally on the other side of the world but…

The CISO role in cybersecurity: Solo or team sport?

By G C Network | April 14, 2015

The average length of time in the commercial sector between a network security breach and when the detection of that breach is more than 240 days, according to Gregory Touhill, deputy…

Setting standards for IoT can capitalize on future growth

By G C Network | March 30, 2015

by Melvin Greer Managing Director Greer Institute for Leadership and Innovation The adoption of Internet of Things (IoT) appears to be unquestioned. Advances in wearables and sensors are strategic to…

Women in tech: Meet the trailblazers of STEM equality

By G C Network | March 19, 2015

By Sandra K. Johnson CEO, SKJ Visioneering, LLC   Science, technology, engineering and mathematics (STEM) professionals are drivers of innovation,creativity and invention. STEM disciplines are significant drivers of economies worldwide,…

 

Digital Transformation is amplifying mainframe as mission critical to business growth more than ever before. With 70% of the world’s corporate data and over half of the world’s enterprise applications running on mainframe computers, they are at the core of just about every transaction. A single transaction can, in fact, drive up to 100 system interactions. The continued increase in mainframe transaction volumes, growing on average 7-8% a year for 78% of customers,  has even led to a new buzzword: The Connected Mainframe.
According to IDC’s research, connected mainframe solutions generate almost $200 million in additional revenue per year while simultaneously improving staff productivity and cutting operational costs. Over 50% of the benefit value ciomes from higher transaction volumes, new services, and business expansion. Businesses rely on mainframes to:
  • Perform large-scale transaction processing (thousands of transactions per second)
  • Support thousands of users and application programs concurrently accessing numerous resources
  • Manage terabytes of information in databases
  • Handle large-bandwidth communication

 

 

The growth of transaction volumes and diversity of applications connecting into the mainframes can lead to significant operational challenges. With more mobile to mainframe applications tio manage and more data to transact, including eventually blockchain data, organizations need to improve their mainframe operations model drastically. Reactive approaches to mainframe management just can’t keep up with the velocity of change and dramatic growth. Enterprises are losing an average $21.8 million per year from outages and 87% of these enterprises expect this downtime cost to increase in the future. An astounding 66% of enterprises surveyed admit that digital transformation initiatives are being held back by unplanned downtime.
Improving the enterprise’s ability to support increased mainframe workloads is why machine learning, augmented intelligence, and predictive analytics are critical to the CA Mainframe Operational Intelligence solution. Embedded operational intelligence proactively detects abnormal patterns of operation by ingesting operational data from numerous sources. This helps to anticipate and avoid problems through:
  • Detecting anomalies quickly and delivering proactive warnings of abnormal patterns
  • Using advancedvisualization and analysis that accelerates issue triage and root-cause analysis
  • Deploying multiple data collectors that work synergistically to provide broad visibility, more in-depth insights and increased accuracy of predictions
  • Delivering dynamic alerts that improve mean time to resolution (MTTR)
  • Combining simplified visualization of time-series data with deep-dive analysis tools
  • Clustering alerts automatically to correlate related alerts and symptoms
  • Removing irrelevant data points from reports to provide more actionable insights

 

CA Mainframe Operational Intelligence consumes data from multiple CA solutions and directly from the IBM® z Systems® environment through SMF records. Raw alerts from performance, network and storage resource management tools are automatically correlated to surface specific issues and provide predictive insights for each issue. With machine learning and intelligence, wide data sets lead to more accurate predictions, and better relationship and pattern analysis. This insight also includes drill-down and probabilities which can also trigger automated problem remediation. This capability is uniquely embedded into the management environment to more proactively optimize mainframe performance and availability with fewer resources.
This modern approach to operational management will help organizations on-board new IT staff to manage the mainframe moving forward, while also protecting limited mainframe experts to focus on essential tasks. Using machine learning and advanced analytics, your entire team can now acton potential issues much earlier, isolate the real root-cause faster and ultimately remediate issues before they become revenue-impacting incidents.

 

( This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.)

 

Cloud Musings

( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2017)

Follow me at https://Twitter.com/Kevin_Jackson
Posted in

G C Network

Cloud Computing

Cybersecurity