Can we survive 1 million big data events per day?

IBM execs have spent a good portion of collective shoe leather this week hosting the Information on Demand Forum event in Las Vegas.

There are “cognitive computing intelligence and predictive analytics” technologies being launched here that expand the IBM BLU Acceleration portfolio.

Just how bad is big data?

IBM estimates that an average firm’s servers, networks and applications can generate more than 1.3 terabytes of data per day in the form of log files, software error alerts, IT service tickets and network configuration updates.

NOTE: This can result in more than one million “events” or system alerts per day – and this spells living hell for systems administrators and the software application developers they help to serve.

IBM says we are on the cusp of a new era in computing where systems can learn, reason, sense, predict and enhance decision making.

“As the value of data continues to grow, the differentiator for clients will be around predicting what could happen to help transform their business with speed and conviction,” said Steve Mills, senior vice president and group executive, software and systems at IBM.

“Cognitive systems, such as IBM’s Watson, can “understand” the context within users’ questions, uncover answers from big data, and improve performance by continuously learning from experiences,” added Mills.

With IBM SmartCloud Analytics – Predictive Insights, users are promised the option to sift through terabytes of IT operations data in real time, spotting only the trends that are critical to IT network performance — this new technology will run on the SoftLayer infrastructure, which will be the foundation of IBM’s cloud portfolio.

Storage decisions, made more intelligent?

IBM is also applying machine learning and analytics to storage with a new version of SmartCloud Virtual Storage Center. The firm says that organisations can save time and money by automating complex storage tiering decisions and moving to cloud storage.

By analysing data usage patterns, this intelligent software identifies the type of storage best suited for an organisation’s data — and automatically makes the change without interruption to the user or applications.