The Power of Deep Code Insights
March 30, 2020

Jina Na
AppDynamics

Share this

The rise of technologies like cloud computing and automated delivery pipelines has enabled teams to deliver software at breakneck speed. In fact, top tech companies deploy software hundreds, even thousands of times per day, raising the bar for digital services. To stay competitive, organizations in every industry must match the pace of innovation set by these digital-native companies.

However, it's challenging to maintain heterogeneous applications and ensure that service is not only available, but also delighting users and driving business outcomes. From the front-end experience to back-end architecture, a web of third-party services, legacy data centers and a distributed, multi cloud infrastructure are supporting the application.

If you're unable to effectively manage these complex application environments, your business is impacted — an outage leads to poor user experience which leads to lost business and impact to your organizational productivity and resources. Take for instance what recently happened with the Iowa caucus app. Coding issues led to significant delays in counting and reporting important primary results, which led other states, such as Nevada, to pull two previously developed apps for their own primary elections, losing out on tens of thousands of dollars.

This example shows that while deployment velocity has increased exponentially, traditional approaches to troubleshooting fall short when it comes to equipping developers (and IT teams) with enough information to pinpoint the root cause of application code issues.

In fact, according to Stripe Research, developers spend roughly 17.3 hours each week debugging, refactoring and modifying bad code — valuable time that could be spent writing more code, shipping better products and innovating. The bottom line? Nearly $300B (US) in lost developer productivity every year.

What happened in Iowa is just one example of how developers are often blamed for code level issues, issues that with the right level of insight could reveal what's causing a bug in production before impacting the digital experience for customers.

So what's the solution and what opportunities would developers suddenly benefit from if they spent more time writing code and less time debugging?

The Aha Moments — What Code Level Insights Bring to Life

The job of a developer is never ending given business priorities and product roadmaps. For those battling issues in monolithic environments or in highly distributed, microservices-based applications, code level insights greatly improve software delivery efficiency by enabling developers to spend less time debugging and more time delivering world-class software.

Specifically, today, once developers ship their code, access to the application and data is restricted. This means that most dev teams are forced to rely on time and resource intensive logging to collect the critical data needed to understand the cause of any performance impact.

Instead of this time intensive, often manual process, by leveraging code-level insights, developers are able to capture critical data and context, on-demand. This level of insight, means, developers have access to data and can collect the necessary information when they need to in order to pinpoint what's causing an issue. As a result, developers have witnessed a decrease in MTTR, improving the overall IT efficiency of their teams, a tighter alignment between Operations and Development teams and according to recent studies, a 25 percent improvement in developer productivity, freeing up valuable time to focus on releasing new features.

Armed with time back, developers can focus on building market-differentiating products that drive user experience, customer satisfaction, and business priorities. This is especially key for organizations competing with younger, digital-native companies.

Jina Na is Associate Product Marketing Manager at AppDynamics
Share this

The Latest

May 23, 2024

Hybrid cloud architecture is breaking the backs of network engineering and operations teams. These teams are more successful when their companies go all-in with the cloud or stay out of it entirely. When companies maintain hybrid infrastructure, with applications and data residing across data centers and public cloud services, the network team struggles. This insight emerged in the newly published 2024 edition of Enterprise Management Associates' (EMA) Network Management Megatrends research ...

May 22, 2024

As IT practitioners, we often find ourselves fighting fires rather than proactively getting ahead ... Many spend countless hours managing several tools that give them different, fractured views of their own work — which isn't an effective use of time. Balancing daily technical tasks with long-term company goals requires a three-step approach. I'll share these steps and tips for others to do the same ...

May 21, 2024

IT service outages are more than a minor inconvenience. They can cost businesses millions while simultaneously leading to customer dissatisfaction and reputational damage. Moreover, the constant pressure of dealing with fire drills and escalations day and night can take a heavy toll on ITOps teams, leading to increased stress, human error, and burnout ...

May 20, 2024

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...