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
Despite the growth in popularity of artificial intelligence (AI) and ML across a number of industries, there is still a huge amount of unrealized potential, with many businesses playing catch-up and still planning how ML solutions can best facilitate processes. Further progression could be limited without investment in specialized technical teams to drive development and integration ...
With over 200 streaming services to choose from, including multiple platforms featuring similar types of entertainment, users have little incentive to remain loyal to any given platform if it exhibits performance issues. Big names in streaming like Hulu, Amazon Prime and HBO Max invest thousands of hours into engineering observability and closed-loop monitoring to combat infrastructure and application issues, but smaller platforms struggle to remain competitive without access to the same resources ...
Generative AI has recently experienced unprecedented dramatic growth, making it one of the most exciting transformations the tech industry has seen in some time. However, this growth also poses a challenge for tech leaders who will be expected to deliver on the promise of new technology. In 2024, delivering tangible outcomes that meet the potential of AI, and setting up incubator projects for the future will be key tasks ...
SAP is a tool for automating business processes. Managing SAP solutions, especially with the shift to the cloud-based S/4HANA platform, can be intricate. To explore the concerns of SAP users during operational transformations and automation, a survey was conducted in mid-2023 by Digitate and Americas' SAP Users' Group ...
Some companies are just starting to dip their toes into developing AI capabilities, while (few) others can claim they have built a truly AI-first product. Regardless of where a company is on the AI journey, leaders must understand what it means to build every aspect of their product with AI in mind ...
Generative AI will usher in advantages within various industries. However, the technology is still nascent, and according to the recent Dynatrace survey there are many challenges and risks that organizations need to overcome to use this technology effectively ...
In today's digital era, monitoring and observability are indispensable in software and application development. Their efficacy lies in empowering developers to swiftly identify and address issues, enhance performance, and deliver flawless user experiences. Achieving these objectives requires meticulous planning, strategic implementation, and consistent ongoing maintenance. In this blog, we're sharing our five best practices to fortify your approach to application performance monitoring (APM) and observability ...
In MEAN TIME TO INSIGHT Episode 3, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses network security with Chris Steffen, VP of Research Covering Information Security, Risk, and Compliance Management at EMA ...
In a time where we're constantly bombarded with new buzzwords and technological advancements, it can be challenging for businesses to determine what is real, what is useful, and what they truly need. Over the years, we've witnessed the rise and fall of various tech trends, such as the promises (and fears) of AI becoming sentient and replacing humans to the declaration that data is the new oil. At the end of the day, one fundamental question remains: How can companies navigate through the tech buzz and make informed decisions for their future? ...
We increasingly see companies using their observability data to support security use cases. It's not entirely surprising given the challenges that organizations have with legacy SIEMs. We wanted to dig into this evolving intersection of security and observability, so we surveyed 500 security professionals — 40% of whom were either CISOs or CSOs — for our inaugural State of Security Observability report ...