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5 Predictions for the Enterprise Software Market in 2014

Jyoti Bansal

AppDynamics announced our 2014 predictions for the enterprise software market:

1. Enterprise IT will model Web companies, becoming more agile to expedite application deployment

To remain competitive and facilitate the increased pace of innovation in the enterprise, IT departments will retool to learn and adopt software development principles and processes from leading Web companies such as Google, Amazon and Netflix - which deliver innovation in days versus weeks - rather than from traditional vendors like IBM, Oracle and SAP.

This will allow enterprises to accelerate the delivery of applications to stay competitive in global markets, moving to weekly application release cycles instead of monthly or quarterly cycles and accepting the risks that come with a higher pace of change. Automated application testing and deployment will mean more repeatable processes, less manual effort and more predictable results.

2. "Bite-sized" applications will bypass IT teams

IT teams will be frequently bypassed as "bite-sized" applications that are refreshed often, delivered from the cloud and consumed across multiple device types, start to replace the traditional, rigid, "system-of-record" application suite.

3. Enterprises will require a different type of accountability across development and operations teams

Enterprises will measure their agility and commercial success based on shared key performance indicators (KPIs) such as productivity or revenue across teams, so that everyone is aligned and focused on what matters — the business.

Traditionally, enterprises have compensated development teams based on the delivery of new software features and the frequency at which they delivered them. Conversely, companies have measured operations teams based on ability to maintain application availability, health and uptime (e.g. 99.99 percent) rather than on the introduction of change and risk.

In 2014, enterprises will start to hold DevOps accountable to the same KPIs. Shared metrics will provide a new level of transparency and accountability, so that development and operations teams will know the exact impact their actions have on the business.

4. Enterprises will move to elastic production applications built for the cloud

In 2014, enterprise use of the public cloud will finally move from development and test applications to elastic production applications built for the cloud. Enterprises will begin using Amazon Web Services for elastic production applications, making them more accessible, more deployable and smarter in the cloud, using auto-scaling and auto-remediation capabilities.

These changes will allow enterprises to scale vertically and horizontally automatically and cost-efficiently, as demand for their business services fluctuates over time. This elasticity will also allow enterprises to avoid the high cost of over-provisioning resources ahead of time.

5. Enterprises will begin to focus on mobile-first applications and the end-user experience

IT will begin to shift focus from back-end services to mobile performance and the end-user experience. Enterprise IT will begin to measure customer success in using applications and evaluate the business implications of application performance.

Jyoti Bansal is Founder and CEO of AppDynamics.

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5 Predictions for the Enterprise Software Market in 2014

Jyoti Bansal

AppDynamics announced our 2014 predictions for the enterprise software market:

1. Enterprise IT will model Web companies, becoming more agile to expedite application deployment

To remain competitive and facilitate the increased pace of innovation in the enterprise, IT departments will retool to learn and adopt software development principles and processes from leading Web companies such as Google, Amazon and Netflix - which deliver innovation in days versus weeks - rather than from traditional vendors like IBM, Oracle and SAP.

This will allow enterprises to accelerate the delivery of applications to stay competitive in global markets, moving to weekly application release cycles instead of monthly or quarterly cycles and accepting the risks that come with a higher pace of change. Automated application testing and deployment will mean more repeatable processes, less manual effort and more predictable results.

2. "Bite-sized" applications will bypass IT teams

IT teams will be frequently bypassed as "bite-sized" applications that are refreshed often, delivered from the cloud and consumed across multiple device types, start to replace the traditional, rigid, "system-of-record" application suite.

3. Enterprises will require a different type of accountability across development and operations teams

Enterprises will measure their agility and commercial success based on shared key performance indicators (KPIs) such as productivity or revenue across teams, so that everyone is aligned and focused on what matters — the business.

Traditionally, enterprises have compensated development teams based on the delivery of new software features and the frequency at which they delivered them. Conversely, companies have measured operations teams based on ability to maintain application availability, health and uptime (e.g. 99.99 percent) rather than on the introduction of change and risk.

In 2014, enterprises will start to hold DevOps accountable to the same KPIs. Shared metrics will provide a new level of transparency and accountability, so that development and operations teams will know the exact impact their actions have on the business.

4. Enterprises will move to elastic production applications built for the cloud

In 2014, enterprise use of the public cloud will finally move from development and test applications to elastic production applications built for the cloud. Enterprises will begin using Amazon Web Services for elastic production applications, making them more accessible, more deployable and smarter in the cloud, using auto-scaling and auto-remediation capabilities.

These changes will allow enterprises to scale vertically and horizontally automatically and cost-efficiently, as demand for their business services fluctuates over time. This elasticity will also allow enterprises to avoid the high cost of over-provisioning resources ahead of time.

5. Enterprises will begin to focus on mobile-first applications and the end-user experience

IT will begin to shift focus from back-end services to mobile performance and the end-user experience. Enterprise IT will begin to measure customer success in using applications and evaluate the business implications of application performance.

Jyoti Bansal is Founder and CEO of AppDynamics.

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Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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