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Q&A: HP Talks About App Development and DevOps - Part 1

Pete Goldin
APMdigest

In Part 1 of APMdigest's exclusive interview, John Jeremiah, Technology Evangelist for HP's Software Research Group, talks about how to succeed in the current app development environment.

APM: HP seems to be making a lot of news in the application developer space, particularly the mobile developer space. What's driving the push?

JJ: At the HP Discover event in June, our CEO, Meg Whitman, discussed HP's four transformative areas that cover the whole company, including hardware, software and services. HP's push into the developer space is tied to several of these areas.

The first area that links to developers is empowering the data-driven organization, as companies are collecting an unprecedented amount of information about their customers, and the way their products and services are used. Data helps businesses make better decisions, and in the app delivery space it helps application development teams deliver higher-quality applications faster. Data also enables application development teams themselves to be more productive, as well as the enterprise end-users for whom they're designing new applications.

Second, enabling workplace productivity is about delivering world-class service to end users on their device of choice, often mobile. To do this, development teams have to be able to "know" what end users want, when they want it and how they want it. Then, developers have to be able to quickly deliver high quality solutions to keep their end-user community happy and satisfied.

APM: What do organizations need to do to be successful in the current app development environment?

JJ: Organizations face two seemingly conflicting challenges. They must roll-out new applications and functionality at speeds never seen before, but these applications must also be extremely reliable and high-quality, particularly from an end-user performance perspective.

Today, brands practically live and die by their mobile app store rankings. Customers who have a bad experience with a mobile app are probably not going to give it a second chance, and will move on to a competitor quickly. In addition, customers will not hesitate to post negative reviews and complaints on social media sites. Similarly, employees using an app to do their job will be less productive if the app is clumsy and time-consuming. Therefore it is imperative that organizations select the right tools and methodologies to manage the balance between speed and quality.

APM: What are the right tools and methodologies?

JJ: The best approach for a given development project really depends on the business drivers, application complexity and business risk tolerance. For mobile apps, speed of delivery and frequent updates are expected, typically agile and DevOps are the norm with substantial automation (testing, deployment, etc.).

On the other hand, updates to large and very complex core business systems (ERP, financial, etc) often don't require speed, but rather require exceptionally low risk of errors and defects. In these cases, often a more traditional (waterfall type) approach is suitable.

The "right" tools is a function of several factors: the team's skill set, the need for distributed collaboration and integration into the existing tool ecosystem.

APM: What makes a quality app? What are the key factors in the "quality" equation?

JJ: When people think of app quality, they most often think in terms of it being functional – working as it is supposed to – and delivering a slick, easy experience for end users. A quality app should be able to work flawlessly in both good and bad network conditions, which frequently change. Development teams need to design for fluid network situations, and not assume 4G or WiFi.

But there are more components to quality than functional and end-user performance – there is also security; we call this the "quality trifecta". A quality app should also be trustworthy from a security perspective. In the race to market for new applications, developers often fall into the trap of re-using existing software components that may defective without their knowing. With hackers using increasingly sophisticated methods, this can leave organizations with huge blind spots. This can be particularly harmful in the mobile app arena, since mobile app transactions often tie directly to back-end systems. A security hole in a mobile app can seriously compromise a company's IT infrastructure.

APM: What are the key points that the business side of companies does not realize about app development, but really should know?

JJ: Industry leaders are rolling out new apps and capabilities at a mind-boggling pace. For example, the Facebook mobile app is updated and refreshed every two weeks like clockwork. This is the new normal, and Facebook and others are setting expectation levels for end users regarding both the frequency and quality of apps. Users expect apps to be constantly fixed and updated, and other companies need to get on board.

Unfortunately, not all companies have the resources of Facebook, that allow them to achieve these seemingly dichotomous ends – extremely fast roll-out of high quality software. But whether we like it or not, software is what sets companies apart today, and business executives know this and are relentlessly focused on it. There needs to be a mindset shift, from "project" to "product". Rather than funding a "project" for a new mobile app, businesses need to shift their mindset to consider how to fund the life of the "product". This allows the product team to accelerate their pace of delivery, based on their available resources.

APM: What is the "shift left" movement in testing?

JJ: Traditionally, the application lifecycle followed a sequential model – ideation, development, testing and finally, production. It used to appear that testers assumed the bulk of responsibility for ensuring an application worked as it was supposed to, before it moved to the production phase. Developers would essentially throw their newly created application "over the wall" to testers — and later IT ops — and consider their job done. "I've created the app, now it's your job to make sure it works" was a common line of developer thinking.

But today, developers are assuming a greater role in testing, ensuring that applications meet basic functional requirements before they move any further down the funnel towards testing, and ultimately production. In addition, testing teams are getting involved earlier in the cycle so that quality checks are not left to the end.

This is known as the "shift left" movement, and its goal is to prevent code defects from getting too baked into applications as they progress through the lifecycle. The further along an application moves toward production, the more embedded defects can become, and the more costly and time-consuming they are to un-do. In fact, when you look at DevOps, the concept of keeping the application always "production ready" is really a statement about the entire team embracing quality at all stages.

APM: What are some of the most common challenges developers face as they start to shift left to this new style of delivery?

JJ: Even with their newly added responsibilities, the world of agile and DevOps demands development teams work within shortened cycles. It is a race against time. In addition, where testers are concerned, more application roll-outs also mean more testing. Testers simply don't have time to get bogged down in manual tasks like provisioning testing platforms, tweaking testing environments and executing multiple rounds of repetitive tests. Fortunately, tools exist today to bring greater testing automation to developers, and integrate right into existing developer environments and frameworks. Further downstream, automation tools for testers enable them to test more applications, faster.

Read Part 2 of the interview, where John Jeremiah, Technology Evangelist for HP's Software Research Group, talks about DevOps

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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Q&A: HP Talks About App Development and DevOps - Part 1

Pete Goldin
APMdigest

In Part 1 of APMdigest's exclusive interview, John Jeremiah, Technology Evangelist for HP's Software Research Group, talks about how to succeed in the current app development environment.

APM: HP seems to be making a lot of news in the application developer space, particularly the mobile developer space. What's driving the push?

JJ: At the HP Discover event in June, our CEO, Meg Whitman, discussed HP's four transformative areas that cover the whole company, including hardware, software and services. HP's push into the developer space is tied to several of these areas.

The first area that links to developers is empowering the data-driven organization, as companies are collecting an unprecedented amount of information about their customers, and the way their products and services are used. Data helps businesses make better decisions, and in the app delivery space it helps application development teams deliver higher-quality applications faster. Data also enables application development teams themselves to be more productive, as well as the enterprise end-users for whom they're designing new applications.

Second, enabling workplace productivity is about delivering world-class service to end users on their device of choice, often mobile. To do this, development teams have to be able to "know" what end users want, when they want it and how they want it. Then, developers have to be able to quickly deliver high quality solutions to keep their end-user community happy and satisfied.

APM: What do organizations need to do to be successful in the current app development environment?

JJ: Organizations face two seemingly conflicting challenges. They must roll-out new applications and functionality at speeds never seen before, but these applications must also be extremely reliable and high-quality, particularly from an end-user performance perspective.

Today, brands practically live and die by their mobile app store rankings. Customers who have a bad experience with a mobile app are probably not going to give it a second chance, and will move on to a competitor quickly. In addition, customers will not hesitate to post negative reviews and complaints on social media sites. Similarly, employees using an app to do their job will be less productive if the app is clumsy and time-consuming. Therefore it is imperative that organizations select the right tools and methodologies to manage the balance between speed and quality.

APM: What are the right tools and methodologies?

JJ: The best approach for a given development project really depends on the business drivers, application complexity and business risk tolerance. For mobile apps, speed of delivery and frequent updates are expected, typically agile and DevOps are the norm with substantial automation (testing, deployment, etc.).

On the other hand, updates to large and very complex core business systems (ERP, financial, etc) often don't require speed, but rather require exceptionally low risk of errors and defects. In these cases, often a more traditional (waterfall type) approach is suitable.

The "right" tools is a function of several factors: the team's skill set, the need for distributed collaboration and integration into the existing tool ecosystem.

APM: What makes a quality app? What are the key factors in the "quality" equation?

JJ: When people think of app quality, they most often think in terms of it being functional – working as it is supposed to – and delivering a slick, easy experience for end users. A quality app should be able to work flawlessly in both good and bad network conditions, which frequently change. Development teams need to design for fluid network situations, and not assume 4G or WiFi.

But there are more components to quality than functional and end-user performance – there is also security; we call this the "quality trifecta". A quality app should also be trustworthy from a security perspective. In the race to market for new applications, developers often fall into the trap of re-using existing software components that may defective without their knowing. With hackers using increasingly sophisticated methods, this can leave organizations with huge blind spots. This can be particularly harmful in the mobile app arena, since mobile app transactions often tie directly to back-end systems. A security hole in a mobile app can seriously compromise a company's IT infrastructure.

APM: What are the key points that the business side of companies does not realize about app development, but really should know?

JJ: Industry leaders are rolling out new apps and capabilities at a mind-boggling pace. For example, the Facebook mobile app is updated and refreshed every two weeks like clockwork. This is the new normal, and Facebook and others are setting expectation levels for end users regarding both the frequency and quality of apps. Users expect apps to be constantly fixed and updated, and other companies need to get on board.

Unfortunately, not all companies have the resources of Facebook, that allow them to achieve these seemingly dichotomous ends – extremely fast roll-out of high quality software. But whether we like it or not, software is what sets companies apart today, and business executives know this and are relentlessly focused on it. There needs to be a mindset shift, from "project" to "product". Rather than funding a "project" for a new mobile app, businesses need to shift their mindset to consider how to fund the life of the "product". This allows the product team to accelerate their pace of delivery, based on their available resources.

APM: What is the "shift left" movement in testing?

JJ: Traditionally, the application lifecycle followed a sequential model – ideation, development, testing and finally, production. It used to appear that testers assumed the bulk of responsibility for ensuring an application worked as it was supposed to, before it moved to the production phase. Developers would essentially throw their newly created application "over the wall" to testers — and later IT ops — and consider their job done. "I've created the app, now it's your job to make sure it works" was a common line of developer thinking.

But today, developers are assuming a greater role in testing, ensuring that applications meet basic functional requirements before they move any further down the funnel towards testing, and ultimately production. In addition, testing teams are getting involved earlier in the cycle so that quality checks are not left to the end.

This is known as the "shift left" movement, and its goal is to prevent code defects from getting too baked into applications as they progress through the lifecycle. The further along an application moves toward production, the more embedded defects can become, and the more costly and time-consuming they are to un-do. In fact, when you look at DevOps, the concept of keeping the application always "production ready" is really a statement about the entire team embracing quality at all stages.

APM: What are some of the most common challenges developers face as they start to shift left to this new style of delivery?

JJ: Even with their newly added responsibilities, the world of agile and DevOps demands development teams work within shortened cycles. It is a race against time. In addition, where testers are concerned, more application roll-outs also mean more testing. Testers simply don't have time to get bogged down in manual tasks like provisioning testing platforms, tweaking testing environments and executing multiple rounds of repetitive tests. Fortunately, tools exist today to bring greater testing automation to developers, and integrate right into existing developer environments and frameworks. Further downstream, automation tools for testers enable them to test more applications, faster.

Read Part 2 of the interview, where John Jeremiah, Technology Evangelist for HP's Software Research Group, talks about DevOps

Hot Topic
The Latest
The Latest 10

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...