Curated articles, resources, tips and trends from the DevOps World.
Everyone in IT knows about technical debt. Technical debt (also known as tech debt, code debt, or design debt) is a metaphor that describes the possible consequences of development teams prioritizing the delivery of a functionality or project, which later needs to be refactored or redone.
We talked a bit about the Software Development Life Cycle (SDLC) in a recent post, but today, we’re going to dig a little deeper into one particular and crucial element in the testing phase, particularly for Agile development: regression testing.
Say what you will about Amazon Web Services, but the cloud giant has been able to scale its systems and services for more than two decades now, continually introducing new features while keeping the user experience manageable.
In today’s hyper-connected world, managing an organization’s digital presence is not just a luxury — it’s a necessity. As businesses strive for efficiency and innovation, digital footprints shape perceptions, impact decision-making, and define success.
Ambassador Labs sponsored this post. Insight Partners is an investor in Ambassador Labs and TNS.
If you listen to the experts developing C++ standards, it’s clear that being part of a committee isn’t easy. This was evident at an ISO C++ 26 panel discussion at the recent Supercomputing 2024 conference. Some proposals can take more than a decade to become an ISO C++ standard.
We all know the challenge: Developers want to focus on building and delivering great software, but the list of non-coding tasks is always growing.
Las Vegas — Amazon Web Services entered the Generative AI foundation model arena Tuesday, introducing four foundation models at its Re:Invent developer conference. Previously, Amazon relied on providing access to other models, such as Anthropic’s Claude.
After analyzing nearly 10 years of CVEs, from July 15, 2014 to Dec. 14, 2023, Google researchers calculated that at least 40% of safety exploits in C++ were related to spatial memory exploits (like writing to an out-of-bounds memory location).
Data is everywhere and has become crucial to businesses and developers all over the globe. One language that does exceptionally well with data is Python. Every data scientist knows this, and often has to depend on Python to get the job done.
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