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IT Leaders Identify Efficiency, Cloud and Analytics as Top 2015 Priorities

Steven Wastie

Nearly half of IT leadership and operations personnel identify improving operational efficiency as their number one near-term internal priority, and nearly one-third say big data analytics is their top deliverable goal, according to a survey by AppDynamics. Respondents also indicated a strong push into both public and private cloud, and nearly a quarter plan to implement container solutions in the next 12 months.

We’re seeing cloud picking up tremendous momentum. When you add together public and private, just about everybody is either building new applications or migrating existing ones to the cloud. That’s something we’ve been waiting to see for some time, as enterprises have built up their comfort levels with moving important applications out of their data centers.

The other area that’s getting serious traction is analytics. About 29 percent of IT professionals we surveyed said that delivering "big data analytics" to their organization is their number one priority. They are looking to harvest data from their applications that can contribute to real business insights. So these two areas of focus — cloud and analytics — are going to dominate 2015.

Also noteworthy from the survey is what emerging stage technologies IT professionals say they are pursuing, most notably, container solutions. Docker and other container solutions are big topics of conversation, and 24 percent say they have plans to use such a solution in the next 12 months.

Here are the main survey highlights:

■ 46% say “improving operational efficiency” is their IT department’s #1 priority

■ 29% say delivering big data analytics to their organization is their #1 priority

■ 26% are building new applications in a public cloud, and 17% are migrating existing applications to a public cloud

■ 34% are building new applications in a private cloud, and 20% are migrating existing applications to a private cloud

■ 76% say they have no plans to implement a container solution in the next 12 months or are not familiar with container solutions

Mobile continues to pose challenges for IT departments; 25 percent of respondents say they don’t have sufficient mobile application development resources, and 24 percent say security concerns are still a barrier to mobile app deployment.

This data points out two significant trends. One is that IT is looking to get the most out of its resources, as shown by the overwhelming prioritization of efficiency. The second is a push to deliver greater value to the business side of the enterprise through analytics.

The survey was conducted in the fourth quarter of 2014, with 193 respondents in IT leadership and operations roles who attended AppDynamics’ AppSphere users conference. The margin of error is +/-5.76% at a 95% confidence level.

Steven Wastie is Chief Marketing Officer of AppDynamics.

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IT Leaders Identify Efficiency, Cloud and Analytics as Top 2015 Priorities

Steven Wastie

Nearly half of IT leadership and operations personnel identify improving operational efficiency as their number one near-term internal priority, and nearly one-third say big data analytics is their top deliverable goal, according to a survey by AppDynamics. Respondents also indicated a strong push into both public and private cloud, and nearly a quarter plan to implement container solutions in the next 12 months.

We’re seeing cloud picking up tremendous momentum. When you add together public and private, just about everybody is either building new applications or migrating existing ones to the cloud. That’s something we’ve been waiting to see for some time, as enterprises have built up their comfort levels with moving important applications out of their data centers.

The other area that’s getting serious traction is analytics. About 29 percent of IT professionals we surveyed said that delivering "big data analytics" to their organization is their number one priority. They are looking to harvest data from their applications that can contribute to real business insights. So these two areas of focus — cloud and analytics — are going to dominate 2015.

Also noteworthy from the survey is what emerging stage technologies IT professionals say they are pursuing, most notably, container solutions. Docker and other container solutions are big topics of conversation, and 24 percent say they have plans to use such a solution in the next 12 months.

Here are the main survey highlights:

■ 46% say “improving operational efficiency” is their IT department’s #1 priority

■ 29% say delivering big data analytics to their organization is their #1 priority

■ 26% are building new applications in a public cloud, and 17% are migrating existing applications to a public cloud

■ 34% are building new applications in a private cloud, and 20% are migrating existing applications to a private cloud

■ 76% say they have no plans to implement a container solution in the next 12 months or are not familiar with container solutions

Mobile continues to pose challenges for IT departments; 25 percent of respondents say they don’t have sufficient mobile application development resources, and 24 percent say security concerns are still a barrier to mobile app deployment.

This data points out two significant trends. One is that IT is looking to get the most out of its resources, as shown by the overwhelming prioritization of efficiency. The second is a push to deliver greater value to the business side of the enterprise through analytics.

The survey was conducted in the fourth quarter of 2014, with 193 respondents in IT leadership and operations roles who attended AppDynamics’ AppSphere users conference. The margin of error is +/-5.76% at a 95% confidence level.

Steven Wastie is Chief Marketing Officer of AppDynamics.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...