Analytics

May 24, 2018

DEVOPSdigest asked experts from across the IT industry for their opinions on the top tools to support DevSecOps. Part 3 covers security and monitoring ...

February 15, 2018

Organizations are focusing investments on security and analytics, while actively researching emerging technologies such as machine learning and artificial intelligence, according to the 2018 CIO Tech Poll: Tech Priorities survey ...

January 22, 2018

LogiGear predicts that the following trends will be worth keeping an eye on in 2018: Blockchain technology has the potential to be disruptive and is going to be in high demand as this becomes more popular ...

January 04, 2018

DevOps experts offer predictions on how DevOps and related technologies will evolve and impact business in 2018. Part 6 covers analytics and data ...

May 22, 2017

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, DEVOPSdigest partner site APMdigest asked experts across the industry for their opinions on the next steps for ITOA ...

March 30, 2017

As trends like cloud computing and DevOps become the de facto standard, organizations are increasingly looking for next-generation analytics tools and services that provide continuous intelligence to help them build, run and secure modern applications, and accelerate their journey to the cloud, according to a new study with UBM Technology titled The New Normal: Cloud, DevOps and SaaS Analytics Tools Reign in the Modern App Era ...

December 05, 2016

An overwhelming majority of developers (93 percent) indicate that web technologies are critical to their strategy for desktop and mobile, and the demand for new applications and updates to existing applications isn’t going away, according to The State of the Modern Web, a survey of web development professionals ...

September 28, 2016

The reason Gartner brought the idea of bimodal IT to light was to create breathing space so that organizations could transform and innovate without crashing and burning. The reason that Agile was created, for instance, was to enable a faster, more responsive process than waterfall practices can offer. However, switching to continuous delivery and integration mode too quickly could prove disastrous for certain systems, as some change carries more inherent risk than other changes. Following are key elements to consider when transitioning to ensure that applications continue to run at optimal levels ...

July 20, 2016

After many science fiction plots and decades of research, Artificial Intelligence (AI) is being applied across industries for a wide variety of purposes. AI, Big Data and human domain knowledge are converging to create possibilities formerly only dreamed of. The time is ripe for IT operations to incorporate AI into its processes ...

February 10, 2016

To optimize application performance, IT teams need to proactively ensure the optimized performance of every underlying infrastructure component, including physical and virtual servers, networks, storage devices, databases, end-user services and cloud and big data environments. It is imperative that they not only identify and resolve issues quickly, but also pre-empt potential issue before there's an adverse impact on the user experience. Below are six key requirements that can help you achieve these objectives ...

January 13, 2016

At this moment there are over two million apps available for download, and as many as 60,000 new apps added per month. But with countless new additions and tremendous growth expected over the years, thousands of applications are also being removed to never return – entering the app graveyard ...

December 04, 2015

Data science and machine learning algorithms have become pervasive throughout the modern consumer world. There are many successful applications of machine learning in consumer products that we use on a daily basis. But, when we look at the Ops world, we find that there is no breakthrough product that incorporates these same machine learning innovations ...

December 03, 2015

Log Analytics is a process of investigating logs and hoping to derive actionable information that might be useful to the business. Many log analytics tools are used to gain visibility into web traffic, security, application behavior, etc. But how valuable and practical is log analytics in reality? ...

November 12, 2015

Improving end-user customer experience is one of the key objectives of an application performance management solution in a production environment. By leveraging the application performance data earlier in the development cycle, DevOps teams can ensure readiness for exceptional customer experience before deploying any application in production. Finally, harnessing the business data in application transactions and logs and correlating them with operational data can provide actionable business insights. In this blog, I will discuss five steps to DevOps success leveraging an application performance management solution in production ...

November 03, 2015

Over the last few years I've tried to represent a clear and growing trend that I've come to call "Advanced IT Analytics" or AIA, in contrast with other industry terms such as "IT Operations Analytics" and "Big Data". My issue with the former is that AIA isn't restricted to operations, but can reach out across all of IT, including executives, service desk and ITSM teams, development and even non-IT business stakeholders. It is multi-use case and multi-stakeholder in value, as the same data mosaic may serve performance, security, change management, and DevOps requirements, while also supporting business stakeholders in areas such as customer experience and market planning ...

February 17, 2015

With agile and lean influencing our thinking, it’s perhaps no surprise that the impetus behind DevOps has come from development. That’s great for the speed side of the equation, but success requires that IT operations also modify their practices. This means ensuring that Application Performance Management (APM) tools and processes are not only supporting the resilience and service goals of production systems, but that they exhibit the functionality needed to help improve customer experience – even as applications are developed, tested, released and deployed. APM can accelerate the benefits of DevOps, but where do you start and what tools do you use? The tech landscape is littered with many products and services all claiming to be the secret sauce that’s going to support a DevOps-like culture. But don’t be fooled, modern APM can only accelerate DevOps when it exhibits four fundamental characteristics. Quite simply it has to be "EPIC" ...

February 12, 2015

APMdigest asked experts from across APM and related markets for their recommendations on the best ways to ensure application performance before app rollout. The second set of six recommendations includes testing and analytics ...

October 21, 2014

Organizations that are "extremely successful" in advanced operations analytics (AOA) are 20 times more likely to be "very successful" in their hybrid cloud adoptions than those who were only "moderately successful" or less in AOA, according to a new Enterprise Management Associates (EMA) Research Report, The Many Faces of Advanced Operations Analytics ...

May 21, 2013

DevOps emerged as a philosophy for bridging the gap between operations and development silos, where each focused on different priorities, using different processes and tools. This article will focus on some key challenges existing in the DevOps approach — challenges that leave operations to wade through overwhelming amounts of operational data — and how new analytics-based tools stand to provide insight into meaningful information, ultimately closing this gap, and putting development and operations into better synch ...