2018 Application Performance Management Predictions - Part 5
January 03, 2018
Share this

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2018. Part 5 covers NoOps, Analytics, Machine Learning and AI.

Start with 2018 Application Performance Management Predictions - Part 1

Start with 2018 Application Performance Management Predictions - Part 2

Start with 2018 Application Performance Management Predictions - Part 3

Start with 2018 Application Performance Management Predictions - Part 4

AUTONOMOUS OPERATIONS: NO OPS

2018 will mark the year of blending APM intelligence, as just another data source, into the ultimate IT business goal: Autonomous Operations, also called NoOps by Forrester. These AI-powered, automated and autonomous systems will automate deployment, monitoring, management, securing and remediation of IT environment. If your current APM solution is not already integrated/capable of integrating into these larger systems, you'll want to use 2018 to get yourself acquainted and start your projects. The future starts now.
Daniel Schrijver
Senior Principal Product Marketing Director, Oracle

NO OPS NO LONGER

"NoOps" will no longer be a thing as infrastructure and operations/run teams become more involved in the development aspects of the software engineering and take back the Ops.
Alex Popov
Cloud Enablement and Continuous Delivery, Barclaycard

MACHINE LEARNING

The New Focus: Proactive, Not Reactive. In today's fast-changing, dynamic virtual environments, IT managers can no longer afford to be reactive or to use trial-and-error to address issues. As 2018 progresses, IT management will be able to take full advantage of the holistic, predictive analytics that new machine-learning based tools enable. These tools can predict and even recommend steps to avoid a variety of issues that can take IT application owners by surprise with costly results. For example, IT can use these tools to eliminate application performance issues, threats to failovers and unexpected capacity usage.
Jerry Melnick
President & CEO, SIOS Technology

New global research from Quocirca, Damage Control: The Impact of Critical IT Incidents, shows that improved operational intelligence, driven by machine data, will continue reduce the impact of critical IT incidents in 2018. The average organization records 1,208 IT incidents per month, 5 of which turn out to be critical. In particular, operational intelligence reduces the number of duplicate incidents through machine learning and repeat incidents through improved root cause analysis.
Bob Tarzey
Independent Analyst and Freelance Writer, Quocirca

2018 will see the adoption of AI, in the form of machine learning, by major software vendors who will be embedding it within their core applications. This machine learning will also become a standard platform for data analytics for new development initiatives. The IoT market will take greatest advantage from this adoption, as the volume of data needing analysis grows exponentially.
Sven Hammar
Founder and CSO, Apica

Read Sven Hammar's Blog: What's Ahead for the Software Testing Industry in 2018?

AI

Nearly all IT management product companies are now claiming to be AI driven. Analysts are declaring AI to be a strategic requirement. CIOs are demanding AI products. The market will start to go beyond buzzwords and hype, and focus on how intelligent automation can be used.
Tom Joyce
CEO, Pensa

2017 saw virtual assistants and chatbots popping up a bit more regularly, though mostly confined to the advanced enterprise ITSM and help desk platforms. In 2018 AI-based tools like these will trickle down to more midmarket ITSM products. They'll also be the basis for one or two new ITSM best-of-breed and application startups.
Craig Borowski
Content Analyst, Software Advice (a Gartner Company)

As more enterprises move toward deploying IoT for business applications, AI and machine learning will become imperative, rather than optional. AI will gain more prominence as an enabler of improved ITSM, self-service offerings, and as a necessary element in digital transformation initiatives.
Marcel Shaw
Engineer, Federal Markets, Ivanti

Companies are having trouble keeping up with consumers' desire for innovation. Better, sleeker, faster seems to be in constant demand — and all with a flawless experience. But, old legacy apps weren't built for this modern wave of digital users. They just don't work at speed or scale — at least without performance issues that cause more abandon rates than signups. So, companies are rebuilding their legacy apps on the cloud. But, these rapid changes have given rise to complex IT ecosystems, which make it difficult to monitor digital performance and manage the user-experience effectively — at least by using traditional tools. That's why, in 2018, AI will become critical in IT's ability to master increasing IT complexity in order to deliver on consumer demands. Organizations will look to AI to automate all the heavy lifting and proactively identify problems so that they can pinpoint the underlying root cause of any issues before their customers are impacted.
Alois Reitbauer
Chief Technology Strategist, Dynatrace

Despite the hype, AI has demonstrated value in industries across the board — from agriculture to biotech to manufacturing. AI is just beginning to ingest data to power services and offerings, in turn providing information necessary for better decision-making. AI's success will continue in the new year, specifically in a new area: troubleshooting. Expect to see an impact on troubleshooting for operators, data centers, etc. as AI helps individuals tackle the day-to-day issues, enabling them to focus on critical problems that AI itself can't help. In 2018, AI will guide and augment humans in solving hard problems as it further cements its value-add as a human cognitive partner, guiding us through the trees to make more impactful decisions.
Ash Munshi
CEO, Pepperdata

AIOPS

Continued adoption of machine learning, data science principles, and big data techniques that will improve pattern discovery, anomaly detection and root cause analysis. Because of this, AIOps/ITOA will play a larger role.
David Ishmael
Director of IT Operations Analytics, Trace3

Artificial intelligence will evolve IT by seeing predictive analytics replace manually intensive activities with intelligent automation. This evolution has been coined AIOps. This will allow organizations to leverage data and AI to quickly identify problems, provide recommendations on how to resolve existing issues, streamline automation with self-service and self-recovery capabilities, and predict future outcomes to forecast costs. AIOps will take IT operations analytics (ITOA) to the next level by automatically applying insights to ensure high performing IT environments are proactively making decisions that ultimately improve the health of the business.
Rick Fitz
SVP and GM of IT Markets, Splunk

AI LIMITATIONS

In 2018, we expect to see a growing realization of the limitations of today's AI for IT issue identification and resolution. As the number of performance-impacting elements (and IT complexity) increases, AI can be helpful in identifying some problem spots, but human intervention will always be needed to discern what (if any) issues are truly customer-impacting and thus warrant a call to IT teams in the middle of the night. For example, let's say a front-end server is slowing down. Are customers growing angered? Are revenues in danger? Or can the issue wait until the morning? These are things that a machine can't necessarily learn. AI without guided human intervention can actually have the adverse impact of desensitizing IT staffs and making them less effective.
Mehdi Daoudi
CEO and Founder, Catchpoint

CONVERGENCE OF ITOA AND BI

We expect a convergence of IT Operations Analytics (ITOA) and Business Intelligence (BI), with AI as the bridge. AI allows for the analysis of every metric at the most granular level while still correlating them across disparate data sources. With excessively large amounts of data, traditional dashboards become slow and overwhelming containing many false and missed alerts. The only way to track, learn and derive insights from all of the available data is to use AI. Once you have an AI system evaluating the IT and business metrics, unified alerts can identify true insights, and companies will have access to a "single pane of glass" so that both business and technology executives can have a clear understanding of every aspect of the business.
David Drai
CEO, Anodot

Read 2018 Application Performance Management Predictions - Part 6, covering more about ITOA and data.

Share this

The Latest

April 18, 2019

A vast majority of organizations are still unprepared to properly respond to cybersecurity incidents, with 77% of respondents indicating they do not have a cybersecurity incident response plan applied consistently across the enterprise, according to The 2019 Study on the Cyber Resilient Organization, a study conducted by the Ponemon Institute on behalf of IBM ...

April 17, 2019

People and businesses today make mistakes similar to Troy, when they get too enamored by the latest, flashiest technology. These modern Trojan Horses work through their ability to "wow" us. Cybercriminals find IoT devices an easy target because they are the cool new technology on the block ...

April 16, 2019

Software security flaws cause the majority of product vulnerabilities, according to the 2019 Security Report from Ixia's Application and Threat Intelligence (ATI) Research Center ...

April 15, 2019

The majority of organizations (nearly 70 percent) do not prioritize the protection of the applications that their business depend on — such as ERP and CRM systems — any differently than how low-value data, applications or services are secured, according to a new survey from CyberArk ...

April 12, 2019

While 97 percent of organizations are currently undertaking or planning to undertake digital transformation initiatives, integration challenges are hindering efforts for 84 percent of organizations, according to the 2019 Connectivity Benchmark Report from MuleSoft ...

April 11, 2019

Companies have low visibility into their public cloud environments, and the tools and data supplied by cloud providers are insufficient, according to The State of Public Cloud Monitoring, a report sponsored by Ixia ...

April 10, 2019

Without improvement in time and budget constraints, the majority of tech pros (75 percent) say they will be unable to confidently manage future innovations, according to IT Trends Report 2019: Skills for Tech Pros of Tomorrow, a new report from SolarWinds. This reality ultimately puts businesses at risk of performance and competitive advantage losses, making the prioritization of skills and career development for tech pros paramount ...

April 09, 2019

Tech pros have one foot grounded in today's hybrid IT realities while also setting their sights on emerging technology, according to IT Trends Report 2019: Skills for Tech Pros of Tomorrow ...

April 08, 2019

This Thursday EMA will be presenting a webinar — Automation, AI and Analytics: Reinventing ITSM — covering recent research. There were quite a few surprises. And in fact, many of the surprises indicated a yet-more-positive outlook than we expected ...

April 05, 2019

Almost three-fourths (69 percent) of organizations have plans to deploy 5G by 2020, according to a new 5G use case and adoption survey by Gartner. Organizations expect 5G networks to be mainly used for IoT communications and video, with operational efficiency being the key driver ...