 Hello, welcome to a short webinar around TrueSight operations and why now is the time to move to TrueSight. My name is Ron Coleman and I'm a Principal Product Manager for BMC Software focused on the TrueSight platform. I also have Tim Bacarta with me, a Senior Solution Architect, to help detail how BMC can help you make this move to TrueSight. So during this webinar, we're going to focus on three key areas. First of all, why move? The second area we're going to focus on is what are the key capabilities that TrueSight provides to help you have a reason to move. And finally, we're going to focus on how BMC is enabling customers to be successful in their journey to TrueSight. So first of all, why move to TrueSight operations? When looking at monitoring as a whole, and if you look at the history of monitoring, it has evolved substantially from the early days of up-down detection. And if you follow the history of our solutions, you'll notice the same pattern. Back in the mid-90s, when patrol was first introduced, monitoring was primarily about is the server up, is the server down, is the database running, all in a very siloed manner. But from there, we moved away from the siloed view and decided to try to consolidate events of not only BMC tools, but other third-party tools to provide that single pane of glass for all events. This led to being able to take those events, understand how they impacted CIs in the service model, and the upstream of a service. So then we could actually see this service is impacted by this particular device. However, even at this level, there was still a separation of monitoring and event management. This separation led us to the next era of consolidation in the late 2000s. This was with BPPM. BPPM provided an integrated view of monitoring, event management, as well as impact management. And this was also when we first started introducing machine learning in the form of dynamic baseline. Now in the current environment, we're entering the age of an application-centric end-to-end performance monitoring solution that takes the use of analytics to the next level all around AI ops. This is what we call true site. So let's drill down a bit into AI ops. AI ops stands for artificial intelligence for IT operations. And essentially, AI ops refers to IT operations platforms that use artificial intelligence to make IT operations smarter. It does this first by unifying data. This is a key strategy behind true site, bringing all the data together, whether it's application data or infrastructure data. Then it leverages machine learning or advanced analytics to start detecting patterns across the data. Again, something that we started initially with BPPM, but now we're taking it to the next level. And then finally, it's all about using this data and the machine learning to measure impact and act on this information across an increasingly complex IT environment. Or in other words, perform the job of IT operations. So a key takeaway here is that AI ops is more than just machine learning or analytics. It is a complete IT operations platform. Now if you look at BMC's approach to IT ops, it is a platform that leverages our rich base monitoring capabilities that we've always had, our focuses on services, and our ability to automate processes and remediation activities all while leveraging analytics across the entire platform. To get a little more specific on the value, true site operations provides you access to an application-centric approach to IT operations driven by analytics. This allows you to increase up time, minimize outages with analytics, while at the same time reducing cost of your infrastructure by leveraging a single consolidated solution. You can also standardize and automate your processes, leveraging best practices and new product innovation, and really at the end of the day, change the culture of IT to be much more business focused. Now let's dig into the key capabilities provided by true site operations. I've broken these capabilities down into five key areas. Application-centric IT ops, machine learning and analytics, automation, cloud monitoring, and the platform itself. First, application-centric IT ops. Like I mentioned with describing the evolution of monitoring at the beginning, IT operations is no longer simply about up-down detection. IT operations exist to ensure the performance of applications used by the business. So with true site operations, you have application context, the ability to automatically discover applications and provide a single view of both application transaction information and detailed infrastructure information, not simply one or the other. We also provide end user experience monitoring, including synthetic and real transactions. End user experience provides that key performance indicator to allow you to understand if there's an actual impact to a location or even a single end user running an application. This in turn leads to a drill down all the way into the performance of the application code. This is usually a black box or a blind spot for IT operations. But with this capability, IT operations can further pinpoint whether an issue is caused by the application itself or the application code or it's caused by the infrastructure. And lastly, we can take all this information up one level higher and understand the impact to the business by leveraging a service model within the CMDB. Infrastructure to application to service, all within one view. The second key area is around machine learning and analytics. Although this concept is fairly new in the market, BMC has been leveraging machine learning for many years and is now continuously expanding on the capabilities. Dynamic baselines are the fundamental starting point for machine learning. By understanding trends and learning behaviors of metrics over time on an hourly, daily, weekly, and even a seasonality basis, true side operations is able to understand whether a particular metric is abnormal or not, reducing the need for static thresholds. This in turn opens up more advanced analytic capabilities. For example, being able to predict when a metric is going to be out of range within the next three hours. Another example is leveraging this information to provide a probable cause analysis, looking across multiple metrics and devices to determine the most likely cause of an impacting event. The other area we invested heavily in is around log analytics. While the metric data will typically give you the ability to pinpoint the device and metric that is a problem, the root cause of why it's a problem is generally found in the log file. Log analytics provides the ability to collect, index, sort, analyze, and compare raw log data across your infrastructure. The third area is all around automation. To provide a true AIOPS solution, automation is required. In true side operations, we provide the ability to automate administrative items like endpoint management, as well as orchestrate complex workflows for triage and remediation. From an endpoint perspective, we've introduced the concept of policy management to provide a centralized solution to ensure the correct monitoring is deployed on each endpoint. Additionally, we now provide the ability to keep the endpoints up to date with the most current monitoring libraries, as well as the most current agent. From an orchestration perspective, the ability to connect IT operations to the service desk through intelligent ticketing is a key automation capability. Instead of simply opening an incident for every event, we provide the ability to open up intelligent incidents that can be prioritized and routed automatically based off of business relevance. And lastly, complex orchestration can be accomplished with an out-of-the-box integration to BMC Atrium Orchestrator. Do simple activities such as restart a service or complex activities such as provisioning additional capacity all automatically. The fourth key area is all around cloud monitoring. While this is not necessarily capability only associated with TrueSight, the need for it has greatly increased over the past several years, so it's worth putting an additional focus. With TrueSight operations, we're thinking in terms of multi-cloud performance management. This essentially means that IT is not just using a single cloud provider or a private cloud or only on-premise hardware, but all of the above. We now have deep metric collection capabilities from AWS to Azure to private cloud deployments such as OpenStack, VMware, Red Hat Enterprise Virtualization. All of this consolidated with the same traditional views of on-premise offerings and with the same analytics capability I described earlier, dynamic baselines, probable cause analysis, and log analytics. Again, all within a single solution. The fifth and final area is around the TrueSight operations platform. A lot of the platform models were sprinkled into the previous points, but it's important to understand that the new platform itself is a key reason to move from the legacy solutions. The biggest change is all around the user experience. We now have the capability to create role-specific dashboards, not by the administrator, but by the user themselves. Create a view as a DBA or a view as a Windows administrator or a view as an application owner quickly and easily with out-of-the-box dashlets. This also includes TrueOps, the new mobile app for TrueSight operations. Give your application and service owners an easy way to see the health of their application or services all from their end user device, their iOS device or their Android device. We've also integrated other consoles, such as TrueSight capacity optimization, intuitive network monitoring, all to provide a single view and a single launching place for IT operations to access all the data they need to make their good decisions. And the last area around the platform is industrialization. Simply put, TrueSight operations is designed for the largest, most secure enterprises in the world. As such, we offer a highly available architecture, secure communication channels with TLS 1.2, secure authentication mechanisms, and a multi-tenant environment that allows data segregation. All of this is with TrueSight operations. So to summarize, TrueSight operations through these five key areas of capability provides you an application-centric approach to IT ops driven by analytics, essentially enabling your own AI ops platform. This is why now is the time to move to TrueSight.