ITOpsChat

a better question is what skills are required to benefit from ITOA. The best tools are going to help non-SMEs and non-data scientists still reap the benefits of these solutions by making the insights clear and intuitive

anyone can 'roll your own solution' with open source tools and techniques, but that takes some PhDs to pull off. And common search platforms can help an SME dive into the detail. The key is helping the generalist get insights into issues...

Great point Kevin!

Q7 (of 8) is posted above. Feel free to revisit this question anytime.

Definitely the goal of ITOA solutions is to ensure high skills are not required, but most generic tools may not meet those goals

@stevesmythe Steve, what are the top 3 biggest pain points you hear from your customers?

I'll start with a common one we see is a lack of simple visibility into ops envs

traditional tools have been improving on this for years, but adding in the analytics capabilities provides a completely new level of insights into operational environments

Agreed Steve. Traditional tools present us with the raw data, and lots of it, but sufficient insight into the actual meaning buried in all that data is still remarkably scarce.

Q6 is posted above. Thanks!

Top 3 would be 1: My operations staff is too overwhelmed, 2: The business needs so many new applications up yesterday, but I don;t have ability to manage them due to lack of resources, 3: Downtime kills my SLAs, and I need to do better

A common benefit is the reduction in mean-time-to-repair....we are seeing upwards of 60-70% reductions, as you utilize rapid seach across all operational big data

We collected several game changing ITOA use cases you can find here: http://www.itoa-land...

Other directly measurable benefits include reduction in operational costs and staffing with introduction on behavioral learning algorithms

This at many clients is approaching 7-figure annual savings in skilled manpower to manage and configure traditional montoring solutions in favor of ITOA approaches

Accelerate incident investigation, assess and optimize IT Operations

Q4 is posted at the top of the page but feel free to add to this question anytime

By extracting insights and drawing intelligent correlations, IT Decision makers can get more than just individual parts - see the whole IT operations picture.

This is where IT operations finally has a chance to become integral to the business, not just a necessary evil. Understanding how the assets of IT support the business (or not) and how to ensure customer sat with core business apps is key

within 5 to 10 years, we’ll see how multiple vertical analytics will merge into a unified analytics layer, serving as a ‘brain’ for automated IT environments.

Will emphasize what Kevin said below, that in next 5 years, don;t necessarily see analytics a "new tool" but a part of enhaced capabilities operations teams and SMEs will use for advanced insights, and more efficiency

Stefanie, can we get to self-healing and self-administration in 5 years?

Steve, I believe so. Newer ITOA technologies are advancing rapidly. Wide spread adoption and realizing the benefits is next.

We'll see more intelligence in the data center & cloud. For example…

@ibmtivo A Blended Analytics approach (e.g. Performance, Log, Deployment Automation & Configuration Data), will drive this intelligence, raising the level of IT automation to include self-healing & self-administration of environments.

Here you can find predictions from a variety of expert ITOA resources: http://www.itoa-land...

Self-healing and self-administration is the ultimate goal, and ITOA tools today are an initial step to getting there

the best ITOA solutions are going to become an integrated part of those established workflows. It should not be about being the next tool to steal time - its about bring insights into the way people already work

Final question (#8) is posted above. Feel free to keep commenting on this one though.

Seeing that organizations are leveraging analytics for better IT Ops Insights, yet today’s ITOA solutions STILL limited by operating in silos (APM, log etc.), focus on symptoms, and limited analytics capabilities.

So to really reap benefits and promise that ITOA offers, IT decision makers need to break operating in silos and apply approach that blends and analyzes major sources of info together for operational insights.

Stefanie, do you see analytics deployments breaking down those traditional silos?

Steve - yes absolutely. Recognition is growing, adoption still needs to occur more though. Now there are a great variety of solutions out there like IBM's.

A great place to hear what some of the top analysts and vendors are saying as part of our ITOA Thought Leaders Series including IBM is located here: http://www.itoa-land...

Q5 is posted above. Thanks!

Starting to see clients start to get out of the problem/response mode with analytics- use to aggregate and spot trends

for those unfamiliar, IT Operations Analytics (aka ITOA) is the technolgies to leverage the operational data you already have for various business benefits

On a scale of 1-10 1 being not familiar and 10 being very familiar?

@itoalandscape Sure, that scale works for us

We would like to hear from others on their use of these solutions, but it is a relatively early market, so don;t be concerned if you don;t know tpoo much about this

Stefanie, what has been your experience in adoption of ITOA technologies?

Steve - from what I've seen from vendors and in speaking with analysts adoption is increasing at a rapid rate. People recognizing the need.

You can see what analysts are saying from some of these reports: http://www.itoa-land...

We are definitely seeing a rapid uptick, as awareness of the capabilities and ROIs obtained are more commonly understood

Q2 is posted above, feel free to revisit this question anytime though

About a 6/10. Getting NOI up and running takes a fair bit of time and effort. Need to understand how best to "sell" it now