APMdigest asked experts across the industry — including analysts, consultants and vendors — for their opinions on the next steps for ITOA. These next steps include where the experts believe ITOA is headed, as well as where they think it should be headed. Part 5 offers some interesting final thoughts.
Start with Next Steps for ITOA - Part 1
Start with Next Steps for ITOA - Part 2
Start with Next Steps for ITOA - Part 3
Start with Next Steps for ITOA - Part 4
REACTIVE TO PROACTIVE
ITOA will help evolve tomorrow's IT organization from a reactive speeds and feeds provider focused on capacity availability into a proactive data-driven fulfillment engine delivering stability, agility and innovation ahead of business needs.
Trace3 Research 360 View Trend Report: IT Operations Monitoring & Analytics (ITOMA)
The next step in the evolution of IT Operations Analytics is establishing a more holistic approach that considers the performance of people AND machines. Metrics tied to machines and tools are now table stakes for ITOA. However, in the future, organizations will need to look at the system as a whole, which includes the humans involved. In order to have a complete understanding of ITOps health, IT organizations must have a comprehensive view of how their people are interacting with machines, data and other people, and establish metrics accordingly to this whole rather than just the parts.
Head of DevOps, PagerDuty
Organizations are collecting massive amounts of live data streams, which on its own can feel like a major accomplishment. But the key question is: so what? If they have no way to analyze billions of data points from servers, machines, containers and applications in millisecond response time, none of that work matters. By adopting newer and more flexible open source products with machine learning capabilities tailored to time series use cases, organizations will be better equipped to use all of their data to help them operate better, detect infrastructure problems, cybersecurity, or fraud, and solve critical business issues.
VP Worldwide Marketing, Elastic
The next natural step for ITOA is for the machines to leverage the analytics to make reasoned decisions and take actions based on the information collected. Analytics leads to heuristics – when machine intelligence is able to interpret the data based on business defined policies and standards. Once the machine can make recommendations, the next evolutionary step is for the machine to act on those recommendations. The orchestration and automation of IT environments is evolving. Tools and standards such as Openstack are being developed to enable the automated management and orchestration of IT architectures. Expect more multi-vendor collaboration to build architectures that can be integrated into a single management and orchestration environment over the next couple years, but do not expect full integration and a mature, automated, self-analyzing, and self-healing network ecosystem for years to come.
Director of Application Delivery Solutions, Radware
As threats continue to increase in frequency and sophistication, enterprises will need to look to IT Operations Analytics as a tactic to identify and proactively address anomalies before security threats fully materialize. With the rise of connected devices and the Internet of Things and emerging technologies like Artificial Intelligence, organizations are increasingly moving toward analytics and automation as a tactic to supercharge cybersecurity.
VP, Product Management, Gigamon
Performance management focused on the speed and reliability of user interactions will always be very important. But performance management must also focus on efficiency of code execution, with an eye towards cost optimization for underlying CPU resources. As the mainframe continues to be the platform of choice for mission-critical transactional applications, slight code tweaks can yield performance boosts for thousands of users. However, with mainframe licensing costs (MLCs) comprising approximately 30 percent of mainframe budgets – and withh these costs continuing to rise – it is equally critical to be more pro-active about service level management of the workload so R4HA peaks can be minimized, keeping costs in check and wasted expenses down. We expect IT Operations Analytics - particularly for mainframe user organizations - to expand in focus, optimizing not just the user experience but costs as well.
Product Manager, Compuware
ANALYTICS AVAILABLE TO ALL
Predictive analytics in application performance management offers a powerful way to improve customer experience. By deploying correlation and mathematical modeling techniques, it analyzes relationships between multiple data points to accurately predict future application behavioral trends, and data anomalies which would affect end-users. Presently predictive analytics is available and affordable for large business with money and resources, however that is going to change in the near future. With emerging technologies and new and easy ways of presenting information to end-users, vendors will differentiate themselves by offering simpler and more affordable ways to deploy predictive analytics in their APM solutions, making it available to all.
Product Analyst, ManageEngine
Making predictions is always a gamble. But given the way 2017 played out and the way 2018 is shaping up, odds are that certain technology trends will play a significant role in your IT department this year ...
With more than one-third of IT Professionals citing "moving faster" as their top goal for 2018, and an overwhelming 99 percent of IT and business decision makers noticing an increasing pace of change in today's connected world, it's clear that speed has become intrinsically linked to business success. For companies looking to compete in the digital economy, this pace of transformation is being driven by their customers and requires speedy software releases, agility through cloud services, and automation ...
Looking back on this year, we can see threads of what the future holds in enterprise networking. Specifically, taking a closer look at the biggest news and trends of this year, IT areas where businesses are investing and perspectives from the analyst community, as well as our own experiences, here are five network predictions for the coming year ...
As we enter 2018, businesses are busy anticipating what the new year will bring in terms of industry developments, growing trends, and hidden surprises. In 2017, the increased use of automation within testing teams (where Agile development boosted speed of release), led to QA becoming much more embedded within development teams than would have been the case a few years ago. As a result, proper software testing and monitoring assumes ever greater importance. The natural question is – what next? Here are some of the changes we believe will happen within our industry in 2018 ...
Application Performance Monitoring (APM) has become a must-have technology for IT organizations. In today’s era of digital transformation, distributed computing and cloud-native services, APM tools enable IT organizations to measure the real experience of users, trace business transactions to identify slowdowns and deliver the code-level visibility needed for optimizing the performance of applications. 2018 will see the requirements and expectations from APM solutions increase in the following ways ...
We don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...
Planning for a new year often includes predicting what’s going to happen. However, we don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...
The annual list of DevOps Predictions is now a DEVOPSdigest tradition. DevOps experts — analysts and consultants, users and the top vendors — offer predictions on how DevOps and related technologies will evolve and impact business in 2018 ...
Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2018 ...
Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2018. Part 6 covers ITOA and data ...