Big Data
Although 78% of organizations surveyed have an observability practice in place, 91% said they face challenges that prevent them from realizing the full potential of the systems they have already deployed, according to Observability and Demystifying AIOps, a report from Chronosphere and ESG ...
Visibility and automation is key to sustaining the growth and evolution of APM. Speaking to APMdigest, Pepperdata CEO Ash Munshi delved deeper into why he thinks visibility and automation are the future of APM well into 2022 ...
APMdigest asked the top minds in the industry what they think AIOps can do for IT Operations. Part 5 is all about data ...
Gartner, Inc. predicts that by 2025, 70% of organizations will shift their focus from big to small and wide data, providing more context for analytics and making artificial intelligence (AI) less data hungry ...
Two-thirds (67%) of those surveyed expect the sheer quantity of data to grow nearly five times by 2025, according to a new report from Splunk: The Data Age Is Here. Are You Ready? ...
In Episode 4, IBM Fellow Mac Devine, VP & CTO Strategic Customer Success, Watson Cloud Division of IBM, joins the AI+ITOPS Podcast to discuss the data-driven organization, the Big Data behind AIOps, and how to get the right data at the right time with the right insights ...
In Episode 2, Jonah Kowall, CTO of Logz.io and former Gartner Research VP, joins the AI+ITOPS Podcast to discuss some of the hottest topics in ITOps today, including AIOps, Open Telemetry, Observability, and the challenges of Big Data in AI ...
As the data generated by organizations grows, APM tools are now required to do a lot more than basic monitoring of metrics. Modern data is often raw and unstructured and requires more advanced methods of analysis. The tools must help dig deep into this data for both forensic analysis and predictive analysis. To extract more accurate and cheaper insights, modern APM tools use Big Data techniques to store, access, and analyze the multi-dimensional data ...
IT practitioners are still in experimentation mode with artificial intelligence in many cases, and still have concerns about how credible the technology can be. A recent study from OpsRamp targeted these IT managers who have implemented AIOps, and among other data, reports on the primary concerns of this new approach to operations management ...
Data-driven applications are helping drive cloud growth, according to a survey by Unravel Data. The data also reveals that enterprises are most concerned with a lack of sufficient technical talent to properly manage these data systems as well as the perceived high cost of deploying a modern data infrastructure ...
What if I said that a 95% reduction in the amount of IT noise, 99% reduction in ticket volume and 99% L1 resolution rate are not only possible, but that some of the largest, most complex enterprises in the world see these metrics in their environments every day, thanks to Artificial Intelligence (AI) and Machine Learning (ML)? Would you dismiss that as belonging to the realm of science fiction? ...
APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 4 covers the infrastructure, including the cloud and the network ...
Retailers that have readily adopted digital technologies have experienced a 6% CAGR revenue growth over a 3-year period, while other retailers that have explored digital without a full commitment to broad implementation experienced flat growth over the same period ...
The goal of EMA's latest research was to look at how advanced IT analytics (AIA) — EMA's term for primarily what today is best known as "AIOps" — is being deployed. Here are the remaining four of my seven personal takeaways ...
OK, the data is in! The goal of EMA's latest research was to look at how advanced IT analytics (AIA) — or EMA's term for primarily what today is best known as "AIOps" — is being deployed. Here are seven of my own personal takeaways ...
There are many pain points that companies experience when they try to deploy and run Big Data applications in their complex environments or use public or private cloud platforms, and there are also some best practices companies can use to address those pain points. Here are 5 more pain points and corresponding best practices ...
The word "Big" in Big Data doesn't even come close to capturing what is happening today in our industry and what is yet to come. The volume, velocity, and variety of data that is being generated has overwhelmed the capabilities of infrastructure and analytics we have today. There are many pain points that companies experience when they try to deploy and run Big Data applications in their complex environments or use public or private cloud platforms, and there are also some best practices companies can use to address those pain points ...
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 ...
The complexity of data in motion is growing and risks undermining the success of the modern data-driven enterprise. A recent survey of data engineers and architects, conducted by StreamSets, sought to bring some perspective to the new reality in the enterprise, leading to some interesting insights about the enterprise data landscape ...
Big data continues to be the fastest-growing segment of the information management software market. New findings released by Ovum estimate that the big data market will grow from $1.7bn in 2016 to $9.4bn by 2020, comprising 10% of the overall market for information management tooling ...
The advent of the Holiday Season means it is time for the annual list of Application Performance Management (APM) predictions, the most popular post on APMdigest, viewed by tens of thousands of people in the IT community around the world every year. 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 2017. A forecast by the top minds in Application Performance Management today, here are the predictions ...
The spookiest day of the year is here, and Halloween is actually a good reminder that trouble in the data center is always lurking just beneath the application surface, ready to wreak havoc at any moment ...
All businesses are fully aware of how much data they're swimming through on a daily basis. And because its buzzy and trendy, most of these businesses are looking to do more with their data, striving to implement cool sounding technologies like machine learning and predictive analytics. But a startling number are overlooking a crucial factor that could make or break the success of these investments: the quality of their own data ...
According to Brocade, moving into 2016, more businesses are expected to leverage smart machines and transformative technologies to give them a clear competitive advantage. Brocade outlines the top transformative technology trends in networking to watch for in 2016 and beyond ...
Industry experts — from analysts and consultants to users and the top vendors — offer predictions on how APM and related technologies will evolve and impact business in 2016. Part 3 focuses on IT Operations Analytics (ITOA) ...
