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55 posts tagged with "feature flags"

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· 8 min read
Chavez Harris

In a previous post, I covered best practices and tips for using ConfigCat feature flags with Docker. While Docker has advantages for easily sharing and deploying containerized applications, it poses challenges when deploying and managing those containers at scale. This is where Kubernetes comes in. Using feature flags, you can control your Kubernetes deployments and services with a simple click without editing your .yaml config files. Let's take a look together!

Feature flags with docker cover

· 9 min read
Tímea Kopacz

As the world becomes increasingly digital and technology advances, so too do the threats. As a result, we must adapt and learn how to protect and safeguard our online presence, making robust cybersecurity measures more vital than ever before. This is especially important for companies, which generally have more at stake than individuals, necessitating a shift from outdated methods to new strategies to effectively combat cyber attacks.

A hacker fighting ConfigCat feature flags

· 4 min read
Csilla Kisfaludi

We'd like to share the story of how we successfully rolled out Config V2, the latest and most advanced version of ConfigCat. Let us take you behind the scenes and show you how we used our own tool to achieve a smooth and gradual rollout. Join us as we explain the steps we took to launch Config V2 and demonstrate how we "eat our own dog cat food".

The rollout of Config V2

· 5 min read
Tímea Kopacz

In the ever-evolving world of software development, the ability to create personalized and dynamic user experiences is paramount. This article explores how InfluxDB, a prominent time-series database solution, leveraged ConfigCat's feature flags to enhance their Cloud 2 user testing processes. The insights shared in this article are based on a video presentation by Gavin Cabbage from InfluxDB.

InfluxData and ConfigCat logo cover

· 9 min read
David Herbert

The rise of AI in software development is reshaping the industry's landscape, redefining roles, and setting new benchmarks for efficiency, innovation, and creativity. Gone are the days when software development was exclusively the domain of developers meticulously crafting code, with the process steeped in manual oversight and prone to human error. The introduction of AI into this sphere has been akin to when factories started using assembly lines in manufacturing—revolutionizing productivity and output quality.

AI's role in software development has swiftly moved from a supportive backdrop to a central player, taking on tasks that once consumed countless hours of human labor. Its capabilities have snowballed, from analyzing vast data to identifying patterns, automating repetitive tasks, and even preempting developer actions by suggesting improvements and debugging possible errors or bugs. It has enabled developers to transcend traditional limitations, empowering them to innovate at an unprecedented pace and scale. Hence, AI has become a keystone in the quest for efficiency, precision, and speed in software development.

illustration of ai in feature management

· 9 min read
Chavez Harris

Machine learning models are the core building blocks of artificial intelligence. As of this writing, a popular AI chatbot circulating in the media and tech industry is ChatGPT. It uses several large generative language models under the hood and can perform tasks that some might describe as super-human.

This advancement in AI showcases the potential of machine learning models and their transformative impact. With the number of machine learning libraries available on the internet, you can even develop your custom models. What's even better is that you can decouple the features of your model and control how they behave using feature flags.

Using feature flags with machine learning models

· 8 min read
David Herbert

The conversation about ethics in technology has become increasingly vital as software continues to advance and intertwines deeply with our daily lives. Among the various pivotal tools at a developer's disposal, feature flags stand out due to their profound impact on user experience and business outcomes. They allow for the selective enabling and disabling of features without deploying new code, fundamentally transforming how features are rolled out, tested, and managed. This flexibility is revolutionary, facilitating dynamic changes to the software environment that can be tailored to diverse user groups and providing a robust platform for experimentation.

illustration of developer implementing feature flags