Ever since the dawn of feature releases, feature flags have become the de facto standard for managing and controlling features in software applications. Many software development methodologies these days such as agile, are heavily focused on releasing continuous updates and features. In addition, a few companies have based their entire business around serving clients a cloud-based feature flagging solution. But in limited bandwidth situations or when you need to optimize the performance of your client-facing applications making API requests may not be ideal. This can be handled by implementing a process called caching with the help of a popular tool called Redis.

It can be time-consuming to create and manage the infrastructure that drives your software applications as they grow and become larger. Also, what about ongoing updates and releases of new features? Luckily, there is a solution to this problem in the form of a tool designed by Hashicorp called Terraform. This allows us to define our infrastructure in a central configuration file without having to create it on every provider platform we use.

While there may not be a one-size-fits-all solution for optimizing workflow and maximizing productivity, you can often put things in place to really up your productivity game. At ConfigCat, we understand this and strive to provide our customers with the essential integration tools to help automate their feature flagging workflow.

For this reason, we are thrilled to announce that ConfigCat now has an official integration with Zapier, a powerful automation tool. With this Zapier integration, you can now connect ConfigCat with over 5,000+ apps, unlocking a new level of automation for your feature flagging workflow. This allows you to make things happen on autopilot without ever having to touch them after the initial integration. And you know what's most interesting about this integration? No code is required! It's like having superpowers.

Can naming feature flags be hard?

Yes. Just like variables in programming, naming feature flags can get tricky if you don't follow a naming standard. When feature flags don't have good names, it can be difficult for people using them to remember what they do. In this article, we'll see a few naming conventions we can use for feature flags.

dyrector.io is an open-source container management platform that offers self-service Docker and Kubernetes deployment and configuration management capabilities to any cloud or on-premises infrastructure for developers with an intuitive UI.

Startups are newly opened companies or companies in their early stages. They have an idea or a finished product that needs placement and funding, which could help them start conquering the market. How do startups come to life? Well, usually, it's the case of one or more people who are colleagues or friends who believe they have an idea or a solution that is in high demand. Often there needs to be more funding at the start, and the biggest challenge is getting sufficient funds to keep operating. Due to that, most startups fail in the first two years of existence. To grow and fulfill their venture, they need the help of the services like feature flags which could make them competitive. But there is a difference from service to service based on the locations and different laws.

The primary goal of many software companies today is to keep end users engaged with their software by releasing new features and updates. This is made possible via a mechanism known as feature flagging. As software applications grow and scale to the ever-increasing demand for new features, another problem arises. It is easy to lose track of where we use feature flags throughout our code. This results in forgetting to remove them when their features have been fully implemented and deployed. How do we fix this?

Feature flagging services have become a crucial part of software development. They simplify the release of new software features by removing the complexity of the feature flagging system and allowing developers to concentrate on their software. In this article, we'll examine the ways of adding a new feature to a React application and compare the use of feature flags by integrating two well-known feature flagging services, ConfigCat and LaunchDarkly, into the application.

Continuous Integration (CI) is a process by which new features and updates are continuously added to an application to keep it updated and secure. At the end of each cycle, the changes are deployed to end users. To prevent human errors, various automated tools are chained together to carry out this process. CircleCI is a broader tool that facilitates this, and it also provides an automated solution for managing your feature flags.

After using a certain tool, feature, or framework in expanding projects, things will start to look more complicated. You begin to wonder if everything is up to standards. Are things implemented correctly and are we following the best practices at the moment, so we have an easier time in the future? The short answer is probably not, because it's impossible.

Every project is different, and it requires an individual approach which will have to have some shortcuts. That being the case, each tool has a certain set of advice on what not to do. If followed, projects can avoid looming pitfalls.

Feature flags are an innovative way of feature management. By using it, you can flag the component and easily disable or enable a feature. This can be done without redeploying the application, and it can target specific clients, regions, or any other category needed.