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2016 APM Prediction: Application Performance and Delivery Remain Top-of-Mind

Todd DeCapua

It's a new year and the fight for market share amongst all enterprises has never been fiercer. Organizations compete for customers on multiple fronts — in person, on the web, and via mobile applications. Today, it's not enough to churn out applications, products, and services faster than the competition. Anything that fails to meet a high performance standard could cause a serious loss of brand value, revenue, and the ability to attract and maintain customers and competitive advantage.

Below are three predictions for what we can expect in 2016:

1. Load Testing will move to the cloud

In 2016, we'll see more enterprises moving load testing to the cloud. Companies are under constant pressure to deliver products and services to the market faster than ever before. Meanwhile, business owners are exhausted by in-house IT departments with slow delivery cycles. In this dichotomy, performance must not be sacrificed. By using load testing from the cloud capabilities, the business and technology teams both get what they need: Technology gets an affordable, secure way to test system and application performance before it reaches production, and the business doesn't have to wait so long that it loses competitive advantage.

2. Enterprises will prioritize lifecycle virtualization

Organizations today are expected to deliver quality products and services to market on time, and therefore, they must have the ability to virtualize production conditions and ensure their solutions are ready for prime time. For instance, releasing a buggy video-streaming application can have major consequences, but imagine the ramifications of releasing autonomous vehicle software that causes a self-driving car to blow through red lights — or a home security system that can be overridden by a simple hack. In 2015, less than half of performance and development professionals used Release Quality as a baseline metric to judge application performance, according to a report sponsored by HPE and blind survey executed by YouGov. This number is expected to rise in 2016 as organizations fully appreciate that there are no second chances with respect to making a strong first impression based on performance.

3. Organizations will adopt a "Continuous Evolution" model

Continuous Evolution will leverage new channels of delivery for end-users and businesses. The way of doing business is changing, and a need to evolve to the next level is more evident than ever before. Being challenged by mobile is the story of the past, and now is the time for businesses to hit the multiplier by leveraging their existing mobile capabilities. Companies must learn to take the best of their mobile investments, then accelerate them through their backlog with DevOps practices, and deliver game changing results via IoT. Effectively, Continuous Evolution enables a business to ensure the delivery of quality, scale, and performance throughout its products and services; so businesses impress their customers with amazing experiences.

Though the year ahead brings many unknowns, users will continue to judge businesses by their performance. Those who embrace the changes ahead will rise to the top, while the others will simply be left behind.

Todd DeCapua is Chief Technology Evangelist at Hewlett Packard Enterprise.

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 ...

2016 APM Prediction: Application Performance and Delivery Remain Top-of-Mind

Todd DeCapua

It's a new year and the fight for market share amongst all enterprises has never been fiercer. Organizations compete for customers on multiple fronts — in person, on the web, and via mobile applications. Today, it's not enough to churn out applications, products, and services faster than the competition. Anything that fails to meet a high performance standard could cause a serious loss of brand value, revenue, and the ability to attract and maintain customers and competitive advantage.

Below are three predictions for what we can expect in 2016:

1. Load Testing will move to the cloud

In 2016, we'll see more enterprises moving load testing to the cloud. Companies are under constant pressure to deliver products and services to the market faster than ever before. Meanwhile, business owners are exhausted by in-house IT departments with slow delivery cycles. In this dichotomy, performance must not be sacrificed. By using load testing from the cloud capabilities, the business and technology teams both get what they need: Technology gets an affordable, secure way to test system and application performance before it reaches production, and the business doesn't have to wait so long that it loses competitive advantage.

2. Enterprises will prioritize lifecycle virtualization

Organizations today are expected to deliver quality products and services to market on time, and therefore, they must have the ability to virtualize production conditions and ensure their solutions are ready for prime time. For instance, releasing a buggy video-streaming application can have major consequences, but imagine the ramifications of releasing autonomous vehicle software that causes a self-driving car to blow through red lights — or a home security system that can be overridden by a simple hack. In 2015, less than half of performance and development professionals used Release Quality as a baseline metric to judge application performance, according to a report sponsored by HPE and blind survey executed by YouGov. This number is expected to rise in 2016 as organizations fully appreciate that there are no second chances with respect to making a strong first impression based on performance.

3. Organizations will adopt a "Continuous Evolution" model

Continuous Evolution will leverage new channels of delivery for end-users and businesses. The way of doing business is changing, and a need to evolve to the next level is more evident than ever before. Being challenged by mobile is the story of the past, and now is the time for businesses to hit the multiplier by leveraging their existing mobile capabilities. Companies must learn to take the best of their mobile investments, then accelerate them through their backlog with DevOps practices, and deliver game changing results via IoT. Effectively, Continuous Evolution enables a business to ensure the delivery of quality, scale, and performance throughout its products and services; so businesses impress their customers with amazing experiences.

Though the year ahead brings many unknowns, users will continue to judge businesses by their performance. Those who embrace the changes ahead will rise to the top, while the others will simply be left behind.

Todd DeCapua is Chief Technology Evangelist at Hewlett Packard Enterprise.

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 ...