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Go Beyond Application Upgrades for True Modernization

Steve Tranchida
Verinext

Fueled by the need to become digitally competitive, businesses are on a mission to modernize their operations, investing in applications and moving workloads to the public cloud. It's driving the Application Modernization Services Market to an estimated 16.80% growth rate until 2030, according to Market Research Future (MRFR).

While updating software or investing in new applications can certainly improve performance, by itself it can only provide a short-term fix and does not take into account the totality of what needs to be done to achieve modernization that has long term value. That takes a holistic approach that includes a retooling of the foundational architecture and a rethinking of development and engineering processes to align with faster digital innovation.

Technology is not the endgame here. It is the result of careful analysis of what an organization needs in architecture and platform changes to face the evolving digital future.

Assessing Architecture

Modern architecture is more fluid than static, designed to be a system of components that can operate more independently, using off-the-shelf platforms when they meet a need and having the flexibility to incorporate new technology when it supports a business initiative.

Before making new technology purchases organizations need to examine their underlying architecture with an eye toward digital innovation. Machine learning driven analysis, AI applications, cloud-native applications — all require integration into an organization's architecture and ongoing support, updates and management as workloads expand.

The reality is a legacy siloed architecture won't support this level of agility and change required in a modern architecture. As McKinsey says, "This notion of architecture as a discrete and separate function is further challenged in a digital enterprise: architecture does not have a natural home in the idealized model of a flat, distributed agile-delivery organization made up of developers, designers, testers, and product owners."

To get to this more flexible state that engages DevOps and product teams, it's best to begin with a roadmap that can plan the transition and create manageable sections along the way. All teams engaged in the transition should collaborate and reach consensus on budget, staff time needed, milestones to reach, and switchovers that can cause any workflow disruption, among other factors.

Aligning Processes

Along with redefining architecture is reassessing how an organization's teams approach change. Before spending budget on a modern architecture platform, internal staff must evaluate whether its approach aligns with the nimble, flexible dynamic of a digital business. How teams manage, scope projects, design and code for applications, release new software and secure all these initiatives must support modernization.

Implementing modern software development and platform engineering processes therefore is essential to successfully building and managing digitally focused IT systems. Platform engineering is gaining prominence as a way for developers to have more autonomy in creating software and services and more quickly moving innovation to market. Gartner describes it as a "frictionless, self-service developer experience that offers the right capabilities to enable developers and others to produce valuable software with as little overhead as possible." In brief, it provides customized tools within a platform, to enable DevOps to get to the finish line far more efficiently with a project.

Gartner estimates by 2026, 80% of software engineering organizations "will establish platform teams as internal providers of reusable services, components, and tools for application delivery. Platform engineering will ultimately solve the central problem of cooperation between software developers and operators."

To stay competitive in the faster time-to-market culture, digital businesses need modern processes like platform engineering to respond quickly to changing customer needs.

Being Smart About Technology

With a redefined architecture and modern development processes in place, organizations can make smart, strategic decisions about technology investment. Using the architecture roadmap and milestones as the foundation, all teams can begin to frame what technology is needed to facilitate modernization. This avoids making costly short-term decisions on purchases and helps to focus on the endgame, which is not technology, but long-term digital competitiveness.

Steve Tranchida is VP, Digital Architecture & Strategy, at Verinext

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Go Beyond Application Upgrades for True Modernization

Steve Tranchida
Verinext

Fueled by the need to become digitally competitive, businesses are on a mission to modernize their operations, investing in applications and moving workloads to the public cloud. It's driving the Application Modernization Services Market to an estimated 16.80% growth rate until 2030, according to Market Research Future (MRFR).

While updating software or investing in new applications can certainly improve performance, by itself it can only provide a short-term fix and does not take into account the totality of what needs to be done to achieve modernization that has long term value. That takes a holistic approach that includes a retooling of the foundational architecture and a rethinking of development and engineering processes to align with faster digital innovation.

Technology is not the endgame here. It is the result of careful analysis of what an organization needs in architecture and platform changes to face the evolving digital future.

Assessing Architecture

Modern architecture is more fluid than static, designed to be a system of components that can operate more independently, using off-the-shelf platforms when they meet a need and having the flexibility to incorporate new technology when it supports a business initiative.

Before making new technology purchases organizations need to examine their underlying architecture with an eye toward digital innovation. Machine learning driven analysis, AI applications, cloud-native applications — all require integration into an organization's architecture and ongoing support, updates and management as workloads expand.

The reality is a legacy siloed architecture won't support this level of agility and change required in a modern architecture. As McKinsey says, "This notion of architecture as a discrete and separate function is further challenged in a digital enterprise: architecture does not have a natural home in the idealized model of a flat, distributed agile-delivery organization made up of developers, designers, testers, and product owners."

To get to this more flexible state that engages DevOps and product teams, it's best to begin with a roadmap that can plan the transition and create manageable sections along the way. All teams engaged in the transition should collaborate and reach consensus on budget, staff time needed, milestones to reach, and switchovers that can cause any workflow disruption, among other factors.

Aligning Processes

Along with redefining architecture is reassessing how an organization's teams approach change. Before spending budget on a modern architecture platform, internal staff must evaluate whether its approach aligns with the nimble, flexible dynamic of a digital business. How teams manage, scope projects, design and code for applications, release new software and secure all these initiatives must support modernization.

Implementing modern software development and platform engineering processes therefore is essential to successfully building and managing digitally focused IT systems. Platform engineering is gaining prominence as a way for developers to have more autonomy in creating software and services and more quickly moving innovation to market. Gartner describes it as a "frictionless, self-service developer experience that offers the right capabilities to enable developers and others to produce valuable software with as little overhead as possible." In brief, it provides customized tools within a platform, to enable DevOps to get to the finish line far more efficiently with a project.

Gartner estimates by 2026, 80% of software engineering organizations "will establish platform teams as internal providers of reusable services, components, and tools for application delivery. Platform engineering will ultimately solve the central problem of cooperation between software developers and operators."

To stay competitive in the faster time-to-market culture, digital businesses need modern processes like platform engineering to respond quickly to changing customer needs.

Being Smart About Technology

With a redefined architecture and modern development processes in place, organizations can make smart, strategic decisions about technology investment. Using the architecture roadmap and milestones as the foundation, all teams can begin to frame what technology is needed to facilitate modernization. This avoids making costly short-term decisions on purchases and helps to focus on the endgame, which is not technology, but long-term digital competitiveness.

Steve Tranchida is VP, Digital Architecture & Strategy, at Verinext

The Latest

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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...