Tasktop

JUNE 6, 2019

“‘Tech debt is taking a loan against next month’s income in order to buy a feature today”‘ The rollout of our founder and CEO Mik Kersten’s Flow Framework has led me to a whole new understanding of how software should be built. Debt (impediments to future delivery). Defects (quality).

DevOps 80

DevOps Software Software Analytics 80

DZone

MARCH 7, 2024

I owe a huge debt of gratitude to both Zachary and Eliyahu — not only for the work they put into developing those libraries but also for the support they have given me as I came up to speed on both the technical and Jewish religious guidelines (halacha) needed to use them.

Java 247

Java Speed Development 247

Simform

JULY 11, 2021

Technical debt slow development life cycles and even brings some of them to a screeching halt. And while CTOs and project managers devote enough attention to technical debt at the backend, nothing much has been done about the frontend.

Technology 52

Technology Technology Development 52

O'Reilly Software

JUNE 14, 2019

Continue reading Prioritizing technical debt as if time and money mattered. Adam Tornhill offers a new perspective on software development that will change how you view code.

Code 71

Code Software Software Development 71

Professor Beekums

NOVEMBER 25, 2017

Technical debt is a contentious topic. Building product quickly is at first a very desirable goal, but oftentimes that means taking on technical debt which can slow down a team’s ability to build product in the future. The basic principle is a simple ROI calculation.

45

45

DZone

FEBRUARY 8, 2023

Legacy code is usually always associated with technical debt—the cost of achieving fast release and optimal speed-to-market time; however, at the expense of providing quality and durable code that will still need to be revamped later.

Best Practices 268

Best Practices Code Speed Efficiency 268

Professor Beekums

JUNE 26, 2016

The subject of technical debt comes up often in software development. It is better to have something done sooner rather than later from the perspective of the project. Yet, this assumes all things are equal, which is rarely the case. Often a developer will have a choice: the short term path or the long term path.

Software 40

Software Software Development 40

Dynatrace

DECEMBER 6, 2022

In addition to requiring a high degree of custom coding, feature flags can rapidly accrue technical debt that can be opaque to diagnose. Problem #1: Tight coupling and technical debt. They have introduced technical debt, making it costly and time-consuming to migrate to a “better fit” solution.

Open Source 206

Open Source DevOps Java Code 206

DZone

JANUARY 2, 2024

Code quality suffers immensely, and technical debt piles up. Writing JUnits manually for legacy code is a nightmare. The least priority is allotted to JUnits due to deadlines; hence gets skipped. Solution: JUnit-Mockito Automation GitHub Automation takes in the Class name and creates a legal working JUnits.

Code 251

Code Testing 251

InfoQ

MARCH 7, 2024

The main drivers for creating a new architecture were challenges around reliability, scalability, observability/debugibility, as well as technical debt impeding the team’s ability to maintain the existing solution. By Rafal Gancarz

Scalability 125

Scalability Architecture Design Development 125

Dynatrace

MARCH 25, 2022

“We had a lot of technical debt and outages,” says Venkatesh Harikrishnan, Parker’s enterprise resource manager. But the Parker team transformed their organization from being controlled by technical debt and system downtime to providing a friction-free user experience across its global digital platform.

Benchmarking 171

Benchmarking Efficiency DevOps Tuning 171

Dynatrace

DECEMBER 16, 2019

Many of us are already familiar with technical debt. Summarized: technical debt is measured by the catch-up rework required to compensate for poor decisions. Commonly applied to development processes, technical debt accrues overtime when we choose an inefficient path of least resistance. Intellectual debt.

Artificial Intelligence 149

Artificial Intelligence Traffic Efficiency Innovation 149

Dynatrace

JANUARY 16, 2020

In part one, we began our discussion about intellectual debt by pointing out how machine learning systems contribute to the widening gap between what works and our understanding of why it works. Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency.

Cloud 156

Cloud Artificial Intelligence Virtualization Efficiency 156

DZone

MAY 15, 2020

Conducting a thorough analysis of whether your software meets all the requirements, whether it is secure, responsive, complete, and easy to use is crucial to avoiding technical debt and making sure your software is well received after the release. And this is exactly what testers do for you.

Testing 246

Testing Software Software Processing 246

All Things Distributed

JUNE 24, 2021

Our challenge has the ambitious goal of fixing one million bugs and helping AWS customers save $100 million in technical debt. Using modern tools like CodeGuru, we’re able to transform the way we go about bug bashes, improving developer productivity with ML.

AWS 189

AWS Development 189

Simform

OCTOBER 10, 2022

When you rush your software development, it can lead to technical debt, and you may pay more interest than your initial investment! So here is a comprehensive guide on tech debt, its causes, types and top ways to manage it. Going fast does not always mean you win the race!

Software 104

Software Software Development 104

Dynatrace

AUGUST 25, 2023

Yet upgrading antiquated systems and effectively integrating them into modern workflows is challenging despite the potential to increase efficiency, improve security, reduce the higher operational costs associated with supporting tech debt, and avoid the foreseeable breaks in end-of-life apps.

Government 203

Government Infrastructure Programming Cloud 203

High Scalability

NOVEMBER 2, 2020

We could’ve saved a lot of time by hacking things together and making it work, but instead chose to take a step back and use this opportunity to redesign, clean up some technical debt, and establish a solid foundation for future work.

Storage 231

Storage Design Infrastructure Engineering 231

Dynatrace

NOVEMBER 9, 2021

Observability provides deeper technical insights into what’s happening within cloud environments, in comparison to APM and/or traditional monitoring methods. To achieve this, the underlying application delivery process also needs to be modernized to provide agility, but also to reduce costs and eliminate technical debt.

DevOps 217

DevOps Innovation Cloud Programming 217

Dynatrace

NOVEMBER 3, 2023

This shift is accompanied by a rise in technical debt and coordination efforts among teams. Without a central and integrated platform, scaling automation to drive further impact becomes an insurmountable challenge.”

Engineering 211

Engineering DevOps Software Engineering Scalability 211

Dynatrace

APRIL 21, 2023

Along with state government agencies, commercial enterprises face similar struggles with high downtime costs, technical debt, and a negative effect on customer experience. That enables them to weave automated incident management into their IT systems and prevent outages before they occur.

Innovation 182

Innovation Speed Artificial Intelligence Government 182

Simform

JANUARY 17, 2023

Application modernization helps in reducing technical debt and improving system efficiency. Overcoming these challenges and reducing tech debt requires the right strategy. So, here are six successful modernization examples with unique strategies to reduce tech debt.

Strategy 59

Strategy Efficiency Engineering Code 59

Dynatrace

JANUARY 6, 2020

In part one, we introduced the concept of intellectual debt, defining it as the gap between what works and our knowledge of why it works. As is often the case with technical debt, some amount of intellectual debt is acceptable, even necessary. Accruing intellectual debt limits an analyst’s ability to notice.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

Abhishek Tiwari

JANUARY 8, 2021

Organizational debt is a sibling of technical debt. While technical debt is unhealthy and generally a well-understood problem, organizational debt can be killer and often treated as an afterthought. How to detect orgnizational debts? How to pay your organizational debts?

Design 59

Design Processing Performance Engineering 59

Dynatrace

JANUARY 31, 2024

Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability. AI adoption requires an ongoing mindset shift where organizations examine and observe all processes of building and enhancing services beyond the technical stack of their AI applications.

Cache 204

Cache Azure Infrastructure Monitoring 204

Simform

FEBRUARY 9, 2023

Technical and design debt can affect the user experience of your applications. So, modernizing the user interface and experience becomes key for businesses. Here is a UI/UX modernization guide for your projects with detailed discussion on benefits, challenges and best practices.

Best Practices 52

Best Practices Design 52

Tasktop

FEBRUARY 9, 2021

Technical debt (removal of impediments to future delivery). If you could regularly address more features or debt work, for example, then this benefit begins to compound over time. Defects (quality). Risk (security, governance, compliance). It sustains market dominance over time. Originally posted on Medium on 01/30/2021.

Innovation 98

Innovation Cloud Government Efficiency 98

Dynatrace

OCTOBER 28, 2020

This information is critical to creating a variable-driven approach to problem remediation at scale, and not a pile of technical debt that is unwieldy to manage. Dynatrace Davis AI closing out the problem. Collaborate across teams.

C++ 178

C++ Innovation Processing Efficiency 178

O'Reilly Software

JUNE 13, 2019

Prioritizing technical debt as if time and money mattered. Watch " Prioritizing technical debt as if time and money mattered ". Michael Feathers explores various scaling strategies in light of research about human cognition and systems cohesion. Watch " Choices of scale ". From the trenches with Rebecca Parsons.

Software Architecture 89

Software Architecture Architecture Software Software 89

Dynatrace

DECEMBER 16, 2022

Fed up with the technical debt of traditional platform approaches, IT teams often embrace best-of-breed software-as-a-service solutions. The monolithic platform approaches of the early 2000s don’t serve organizations today.

Innovation 196

Innovation Software Software Cloud 196

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. In layman’s terms, SLOs represent the performance or health of a service.

Metrics 190

Metrics Best Practices DevOps Infrastructure 190

Tasktop

JANUARY 30, 2020

Flow Distribution is the proportion of Flow items (features, defects, debt, risk) in a specific value stream that can be adjusted depending on the need to maximize business value. However, investing in more new features meant taking on more technical debt. Flow Distribution helps get your business priorities straight.

Healthcare 52

Healthcare Metrics Tuning Software 52

Dynatrace

APRIL 2, 2020

We’ve put together a comprehensive microsite that explains the technical rationale behind this decision and the migration paths to new Dynatrace offerings. Of course, your organization will need to be technically fit enough to catch the next wave while avoiding technical and intellectual debt.

Network 166

Network Traffic Monitoring Java 166

Dynatrace

JUNE 26, 2020

Legacy services/applications have been streamlined as the inefficiencies have been identified (using the monitoring) and removed as technical debt, new services are now monitored at a much deeper level before production delivery.

Virtualization 142

Virtualization Monitoring Speed Infrastructure 142

Percona

JUNE 5, 2023

While easy to do in a development environment, it does represent technical debt when it reaches production. What you end up with is a host breaking up and sharing valuable system resources, i.e., CPU, RAM, disk, etc., between multiple instances of PostgreSQL data clusters.

Database 119

Database Open Source Servers C++ 119

Tasktop

MAY 27, 2021

And there comes a time in a product’s life cycle where you just have to prioritize tech debt for the sake of future acceleration.”. Flow Distribution showed more and more capacity going towards defect resolution, while very little tech debt was being addressed. . So how do you know when it’s the right time to replatform?

Metrics 69

Metrics Games Engineering Efficiency 69

Abhishek Tiwari

JANUARY 7, 2021

It also covers approach taken by Rare, Developer are responsible for quality Game is always shapable Each build contains small number of changes Trunk-based development Static and dynamic feature toggles Continuously improve cycle time Tackle technical debt Continuous improvements.

Games 75

Games Software Engineering Engineering Design 75