In large data centers, operations analytics tools can process tens of millions of IT events every day. These events stream in from security and performance monitoring tools, event logs, network devices, compute platforms, storage systems, and countless other sources.\nThat\u2019s the world we are in today, and it may soon seem like the good old days. That\u2019s because we are heading into a time when the IT shop will get hit with hundreds of billions of events every day\u2014an unfathomable amount of data to process.\nIn an earlier post, I explored the notion that this new scale of compute will demand a new scale of analytics. In addition, we\u2019re going to need a new class of IT analytics tools to glean insights from all of that data in real time. These tools are going to be critically important when it comes to maintaining the security, performance, and availability of IT services.\nIn the years to come, we\u2019re going to look to these tools to answer critical questions about what\u2019s happening in the data center. Analytics is going to be the IT manager\u2019s main view into the end-to-end environment, including things happening in distant clouds.\nLet\u2019s look at a few examples of the questions that analytics will help answer.\nAre there new security threats that I am blind to?\nWe\u2019re in an age of ever-more-sophisticated threats against data centers\u2014threats that can have catastrophic consequences. With today\u2019s Advanced Persistent Threats (APTs), malicious software may be in the environment for months without being detected.\u00a0\nAll companies are now caught up in a constant fight to defend the data center. As the scale of compute grows, analytics tools are going to be even more present on the front lines of the battle. In particular, operations teams are going to need tools that identify security anomalies in real time and recommend defensive steps\u2014before customers or law enforcement teams detect breaches.\nExisting threat intelligence tools can help, but it\u2019s both expensive and difficult to analyze data at such a large scale to get actionable insights. And this challenge is going to get a lot harder as we move from analyzing tens of millions of IT events per day to hundreds of billions of events. Our only hope here is the arrival of a new generation of IT analytics technologies.\nHow well are my cloud-based services performing?\nA big barrier to cloud adoption is the lack of insight and visibility into the cloud environment. With many cloud services, it\u2019s hard to see what\u2019s really going on out there, and that is simply unacceptable from a management standpoint.\nTo move confidently into a cloud environment, IT managers need cross-environment monitoring that provides a clear view into the performance of the services running in the cloud. Analytics that operate at the scale of a cloud environment are going to be an essential delivery vehicle for this visibility into cloud-based services.\nIs something in my environment on the verge of failing?\nGiven the rising costs of downtime, data center operators are going to need to make greater use of analytics tools to identify emerging issues with systems and facilities, so they can address problems proactively and avoid downtime.\nFor example, analytics tools might detect a high rate of memory errors on a system or a high rate of write errors on a disk, either of which could indicate that a component could be on the verge of failure. At the facilities level, your analytics tools might alert you to a spike in the temperature in a particular part of your data center, which could suggest that a chiller or air handler is having problems.\nThe goal is to get in front of problems like these, and that\u2019s going to be possible only if you have analytics that operate at the scale of the data center of the future. From threat detection and performance monitoring to proactive system and facilities management, we\u2019re going to need the help of powerful analytics software running on processors that have yet to be invented.\nThere are, of course, many good IT analytics tools in the market today. The problem is that these tools, by and large, can\u2019t deal with the scale of the data deluge that is about to hit IT shops and the growing complexity of our compute models, which will become an increasingly complicated mix of on-premises, off-premises, and cloud-based systems.\nI wish I could tell you that Intel has an off-the-shelf solution for the IT analytics challenges that are heading our way. The reality is, we don\u2019t have any such solution, but I can assure you that this is a problem we are studying very hard and are extremely passionate about. And I think it\u2019s also safe to say that in the months and years to come, we will work closely with our ecosystem partners to help enterprises solve this problem in a proactive manner.\nThis is a huge challenge for all us in enterprises environments\u2014but it\u2019s a challenge that we can and will overcome.\nTo see some examples of the power of analytics, visit The New Center of Possibility.