29May2017

Gartner IT Operations Strategies Summit 2017

OpsDataStore recently attended, exhibited and presented at the Gartner IT Operations Strategies Summit in Orlando FL. Here we review a few of the major themes of the conference.

Digitization

Gartner shared the results of some direct research that they did with their clients. As you can see, CEO’s of global enterprises have high expectations for the positive impact of digital initiatives in their companies. And Gartner made it very clear that it is an imperative for IT Operations to participate in, drive, accelerate and successfully manage these digitization initiatives if IT Operations want to remain relevant in this new era.

The Five Imperatives for IT Operations in the Digital Era

In order for IT Operations to be relevant in the Digital Era, Gartner identified five key initiatives that IT Operations Executives need to embark upon and master in their organizations. These are shown in the image below.

Let’s review these five initiatives and how OpsDataStore helps you implement them and realize the value from them:

Become transaction oriented

This means stop focusing upon just the hardware and software infrastructure that supports the business applications and their transactions and also focus upon the reliability, performance, and user experience of executing those transactions.

The challenge here is that transactions are monitored by APM tools, and APM tools are designed for the teams that support the applications, and not for IT Operations.

OpsDataStore solves this problem by integrating the metrics from the APM tools into the infrastructure metrics making the combination usable by IT Operations.

Build agile and software defined solutions

This means that every enterprise that embarks upon a digitization initiative must build some of the competencies that agile software vendors rely upon. It is the essence of a successful digitization strategy that your digital offerings compete successfully in the marketplace which requires continuous refinement and enhancement.

The challenge here is that the existing monitoring stack in most enterprises is not designed for rapid change at all layers of the stack. Rapidly changing applications running on dynamic infrastructure is something that most people are simply not equipped to monitor successfully.

OpsDataStore solves this problem by establishing the relationships between the transactions and the infrastructure over time (think a real-time, time-series CMDB) which allows for the management of these dynamic environments.

Monitor Everything

The key here is the expanded scope of “everything”. Everything now includes every micro-service, every container, every virtual server, virtual network segment, virtual storage element, and every “thing” in your IOT strategy.

The challenge here is that your existing monitoring systems are not set up to cope with this deluge of incoming data, much less set up to process it and make it useful.

OpsDataStore addresses this issue by being the only big data back end for all monitoring data and all monitoring vendors. We are the only vendor that has scalable big data back end to address this challenge and the only vendor that has the business strategy of partnering with all of the vendors that are source of this data.

Interact with the API Economy

The thesis of this mandate is that your data (in an anonymous form) might be valuable to other people and organizations and might be a source of supplemental revenue to your company.

The challenge here is to organize your data so that both people inside of your company and potentially people outside of your company can easily access it and make sense of it.

OpsDataStore enables both the easy consumption of your IT operations and applications data by organizing the data into real-time relationships which makes it very easy to consume this data in a variety of forms and in your choice of BI or big data analytics tools.

Automate Data Driven Decision Making

Gartner said that monitoring needs a big data back end to enable data driven decisions in IT Operations. This big data back end is necessary to process the many streams of data from all layers of the stack with frequency and granularity. The first goal of this big data back end for IT Operations is to enable IT to make data driven decisions in the same way that the business has been doing for years. This data then feeds the automation systems that use AI and machine learning to automate the routine operation of many aspects of the environment.

The challenge here is that these many streams of data are not inherently related to each other. There is no built in way within these streams of data for you to know “what belongs to what”. The simplest example is that your APM tools do not know where in your physical and virtual infrastructure your transactions are running. To ask your machine learning systems to guess at this leads to failures and bad outcomes.

OpsDataStore’s patent pending Dynamic Object Model uniquely solves this problem by establishing the relationship between every monitored object (transaction, application, virtual server, physical server, datastore, and ultimately every “thing” as that data arrives). This creates a real-time time-series of relationships, or a real-time CMDB.

Summary

OpsDataStore and our ecosystem of partnering vendors are uniquely positioned to help enterprise IT Operations organizations succeed and delivering upon these mandates and opportunities from Gartner.

If you would like a personal demonstration of OpsDataStore for you and your team, please fill out this demo request form and we will get back to you immediately.