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2015 APM Predictions from AppDynamics

Maneesh Joshi

In addition to our predictions on APMdigest's list of 15 Predictions for 2015, AppDynamics offers some additional predictions:

1. In 2014, we continued to see the rapid ascent of a new generation of APM company that is leveraging big data, cloud, SOA, analytics and Agile technologies to out-innovate the solutions provided by legacy APM providers. We will see more of this in 2015 with many older companies going private due to their inability to compete with younger, more innovative companies and the way in which these legacy providers are structured internally.

2. Mobile APM as a standalone application will no longer exist in 2015. Businesses will realize the importance of reliance on backend infrastructure, which will necessitate end-to-end visibility across all of their applications from one comprehensive APM solution.

3. The gap between business analytics and IT analytics is quickly narrowing. In 2015, software analytics and business analytics will be viewed as one and the same and as a critical piece of business intelligence from stakeholders on both sides of the equation.

4. APM is not a new space, but is changing rapidly with the ever-changing design and delivery of software. Old APM solutions cannot keep up with upgraded applications and the amount of distributed infrastructure required by new applications. In 2015, companies that do not apply a modern APM solution by year's end will be severely hindered and fall behind their competitors.

5. Shop Direct's CEO commented this year that 50% of the company's consumers viewed its site through a mobile device, but in 2015 100% of their customers will test content through their mobile app. 2015 will be do or die in terms of mobile. Mobile channels are exploding and businesses need to get the mobile experience right this year — not just one time, but on an ongoing basis with the right kind of APM tools.

Maneesh Joshi is Senior Director of Product Marketing and Strategy at AppDynamics.

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2015 APM Predictions from AppDynamics

Maneesh Joshi

In addition to our predictions on APMdigest's list of 15 Predictions for 2015, AppDynamics offers some additional predictions:

1. In 2014, we continued to see the rapid ascent of a new generation of APM company that is leveraging big data, cloud, SOA, analytics and Agile technologies to out-innovate the solutions provided by legacy APM providers. We will see more of this in 2015 with many older companies going private due to their inability to compete with younger, more innovative companies and the way in which these legacy providers are structured internally.

2. Mobile APM as a standalone application will no longer exist in 2015. Businesses will realize the importance of reliance on backend infrastructure, which will necessitate end-to-end visibility across all of their applications from one comprehensive APM solution.

3. The gap between business analytics and IT analytics is quickly narrowing. In 2015, software analytics and business analytics will be viewed as one and the same and as a critical piece of business intelligence from stakeholders on both sides of the equation.

4. APM is not a new space, but is changing rapidly with the ever-changing design and delivery of software. Old APM solutions cannot keep up with upgraded applications and the amount of distributed infrastructure required by new applications. In 2015, companies that do not apply a modern APM solution by year's end will be severely hindered and fall behind their competitors.

5. Shop Direct's CEO commented this year that 50% of the company's consumers viewed its site through a mobile device, but in 2015 100% of their customers will test content through their mobile app. 2015 will be do or die in terms of mobile. Mobile channels are exploding and businesses need to get the mobile experience right this year — not just one time, but on an ongoing basis with the right kind of APM tools.

Maneesh Joshi is Senior Director of Product Marketing and Strategy at AppDynamics.

Hot Topics

The Latest

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 ...