Analytics
Predictive analytics is a popular ITOA technology that you can leverage to improve your business by leaps and bounds. Predictive analytics analyzes relationships among various data points to predict behavioral trends, growth opportunities and risks, which can add critical value to your business. Here are a few questions to help you decide if predictive analytics is right for your business ...
APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 5 offers some interesting final thoughts ...
APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 4 covers automation and the dynamic IT environment ...
APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 3 covers monitoring and user experience ...
APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 2 covers visibility and data ...
Managing application performance today requires analytics. IT Operations Analytics (ITOA) is often used to augment or built into Application Performance Management solutions to process the massive amounts of metrics coming out of today's IT environment. But today ITOA stands at a crossroads as revolutionary technologies and capabilities are emerging to push it into new realms. So where is ITOA going next? With this question in mind, APMdigest asked experts across the industry — including analysts, consultants and vendors — for their opinions on the next steps for ITOA ...
The growing market for analytics in IT is one of the more exciting areas to watch in the technology industry. Exciting because of the variety and types of vendor innovation in this area. And exciting as well because our research indicates the adoption of advanced IT analytics supports data sharing and joint decision making in a way that's catalytic for both IT and digital transformation ...
Research and Markets released the IT Operations Analytics Market - Global Forecast to 2022, reporting that the IT operations analytics market is projected to grow from an estimated USD 2.78 billion in 2016 to USD 19.84 billion by 2022.
Colin Fletcher, Research Director at Gartner, talks about Algorithmic IT Operations (AIOps) and the challenges and recommendations for AIOps adoption ...
In APMdigest's exclusive interview, Colin Fletcher, Research Director at Gartner, talks about Algorithmic IT Operations (AIOps) and how it will impact ITOA and APM ...
IT staff can't afford to waste time by manually comparing results from multiple different tools to determine the status of their important applications and identify the causes of performance issues when they arise. IT personnel need to think about solutions that deliver more accurate, real-time insights into virtual environments, so they can keep the business humming and end users productive. Here are a few tips on how IT teams can avoid or resolve application performance issues quickly and easily ...
Global revenue in the BI and analytics software market is forecast to reach $18.3 billion in 2017, an increase of 7.3 percent from 2016, according to the latest Gartner forecast. Gartner believes the rapidly evolving modern BI and analytics market is being influenced by the following 7 dynamics ...
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 ...
Apica highlights the following trends and predictions for 2017, covering the API Economy, ecommerce, analytics and more ...
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 ...
In my last blog, I expressed my opinion that IT operations teams may be about to enjoy a renaissance rather than dismally fading away — but only if they adopt new ways of working, measuring themselves and interacting with business stakeholders. In this blog, I'd like to discuss how technology investments can help smooth the way toward operational transformation with a few examples from recent interviews. More specifically, I'd like to focus on three key areas of innovation, all in some way related to Advanced IT Analytics ...
It's safe to say that the role of IT Operations is changing, but beyond that there are countless opinions about just why and how. Lately I've been hearing a growing number of doomsday prophecies about how operations professionals are going away as they shrink in importance to managing an infrastructure already being replaced by cloud. However, I see a strong and consistent trend that isn't a move away from operations, but rather a deliberate transformation of how IT operations teams work. So which vision is correct? Gloom and doom or new levels of empowerment and rebirth? ...
Over the past few years, IT service management (ITSM) has become increasingly important to an organization's IT strategy, and companies are seeking new ways to improve IT service delivery and efficiency via better ITSM processes. Using advanced IT analytics, managers can identify blind spots and hidden gaps in their ITSM process as well as make accurate decisions by monitoring key metrics. Here is how advanced IT analytics can make the best of your IT service desk ...
Gartner highlighted the top technology trends that will be strategic for most organizations in 2017. Analysts presented their findings during the recent Gartner Symposium/ITxpo ...
The first post in this two-part series introduced machine learning analytics as a new way to find and fix the root cause of performance problems to help meet SLAs. This post explains three ways MLA can be used to better utilize resources for optimal performance ...
How can you be responsive to user demands and support the apps they require? The first step is to optimize your data center. Data center monitoring that provides analytics about your entire IT infrastructure, whether it's on premise, in the cloud or a hybrid environment, is the foundation for this process ...
While the layers of abstraction created in virtualized environments afford numerous advantages, they can also obscure how the virtual resources are best allocated and how physical resources are performing. This can make maintaining optimal application performance a never-ending exercise in trial-and-error. This post highlights some of the challenges encountered when using traditional monitoring and analytics tools, and describes how machine learning, as a next-generation analytics platform, provides a better way to meet SLAs by finding and fixing issues before they become performance problems ...
Time is an important measurement of IT service, especially if we use transaction time. Time is well understood and begins to answer some of the fuzzy questions such as slowness and what is performance. Of course there are other great questions in IT and one of the most dreaded is: "How much does this application cost?" This question creates countless man hours of work quickly running into the diminished returns of hours spent vs. accuracy ...
IT has access to an amazing amount of data. Often we collect hundreds of data points on one server such as individual processor load, thread state, disk throughput both in and out etc. We then store this in a bin and use this to create a metric called something similar to server performance ...
Today's IT managers and engineers have an incredible arsenal of powerful tactical tools; APM, NPM, BSM, EUEM and the list goes on. The strength of these tools, their narrow, bottom-up focus, is also the cause of a real problem for businesses. These narrow tools miss issues that stem from the hand-off from one node or application to the next. The monitoring tools can't see the data falling into the gaps ...
