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Collaboration is key in the world of Git version control. But keeping track of changes from multiple developers can get tricky. This blog post dives into two essential Git features—remotes and cherry-pick—that empower you to streamline your workflow and effectively manage contributions.
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By default, your GitHub repository typically has a single remote—the origin, representing the main repository you cloned from. However, in larger projects with multiple developers, things get more interesting. Often, developers create personal forks before they push their code.This allows them to work on a separate copy of the code base, and once they are satisfied with the changes, they can merge back into the main codebase.
Here’s where remotes come into play. They are references to additional copies of your Git repository, potentially containing valuable contributions from other developers.
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Let’s use an Open-Source project: Lottie
Imagine we’re working with the fantastic Lottie by Airbnb, a library that renders After Effects animations on mobile platforms. We’ve cloned a fork (iayanpahwa/lottie-android) and want to explore changes made by other contributors to lottie (gpeal and felipecsl).
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To access these developers’ workspaces, we can add them as remotes using the git remote add command:
git remote add <remote_name> <repository_URL>For example:
git remote add gpeal https://github.com/gpeal/lottie-android.gitgit remote add felipecsl https://github.com/felipecsl/lottie-android.gitNow, using git remote -v, you can see all configured remotes, including their URLs.
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With remotes in place, we can retrieve changes from other contributors using git fetch.
- Fetching from a specific remote:
- Fetching from all configured remotes:
git fetch --allThis downloads the commits made by these developers without integrating them into your local working directory yet.
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Git cherry-pick allows you to meticulously select and apply specific commits from other branches (including those fetched from remotes) onto your current branch. This is particularly useful for integrating contributions from multiple developers, testing them individually, or incorporating specific fixes.
A Real-World Cherry-picking Scenario
Imagine you manage an open-source project that receives a wave of pull requests. You might want to test these contributions together before merging them. Here’s how cherry-picking can help:
Create a New Branch:
git checkout -b my-test-branch- Fetch Necessary Code (if not already done): Use
git fetchas explained earlier. - Cherry-picking Commits: Once you have access to the desired commits, cherry-pick them one by one using their commit hashes:
git cherry-pick <commit_hash>For instance, to test a specific commit (648c61f5275998c461347b5045dc900405306b31) by contributor gpeal:
git cherry-pick 648c61f5275998c461375647845dc900405306b31 [ commit made by gpeal ] This brings gpeal’s changes to your my-best-branch for isolated testing.
Remember: Cherry-picking can rewrite history, so use it cautiously. Always create a dedicated branch for testing before integrating changes into your main codebase.
Wrapping Up:
By mastering remotes and cherry-pick you can effectively collaborate on Git projects, leverage valuable contributions from others, and ensure a smooth and efficient development workflow.
Feel free to reach out with any questions! Happy coding! Do check our blogs on git internals for more learning:
- How Git Submodules Can Save You Time
- Git Internals Part 1- List of basic Concepts That Power your .git Directory
- Git Internals Part 2: How does Git store your data?
- Git Internals Part 3: Understanding the staging area in Git
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In my last blog, I discussed managing dependencies with git submodules. However, when working with large projects that have many dependencies, traditional methods like git submodules can become cumbersome. Google’s repo tool emerges as a powerful solution specifically designed to handle this challenge.
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repo is an in-house dependency management tool developed by Google. It excels at managing many dependencies, making it ideal for projects like the Android Open Source Project (AOSP) and custom Android ROMs.
Unlike git submodules, which are an integrated git feature, repo functions as a separate executable script. This necessitates installation before diving in.
Installation (Choose your adventure!)
Linux:
Create a directory for Repo:
mkdir ~/binUpdate your PATH environment variable:
export PATH=~/bin:$PATHDownload and make Repo executable:
curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
chmod a+x ~/bin/repo
OSX:
Use Homebrew to install Repo:
brew install repo
For other platforms, refer to official docs: https://gerrit.googlesource.com/git-repo
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Repo relies on a manifest file stored in a separate Git repository. This XML file is the central hub, outlining where to fetch project dependencies, their storage location, and specific revisions (commits).
The beauty of Repo lies in its ability to manage multiple manifests. Imagine a huge, complex project like the Android Operating system with 100 dependencies. You could create a dedicated “lib.xml” manifest to fetch those specific libraries, eliminating the need to include hundreds of unrelated dependencies from a broader manifest. Similarly, the testing and compliance team can have ‚Äúqa.xml‚Äù and ‚Äúcompliance.xml‚Äù to manage extra QA and compliance-related dependencies separately, which might not be needed in production but required during development. Both could also have the same libraries but different versions. Hence repo using manifest.xml makes handling dependencies extremely flexible.
For this demo, we’ll keep things simple with a single “default.xml” file.
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Clone the Example Repository having our manifest:
git clone git@github.com:iayanpahwa/manifest-demo.gitExamine the default.xml file:
This file specifies the main Project (ex, EazyExit) with two dependencies, FastLED and PubSubClient, along with their corresponding URLs, paths, and revision IDs.
<?xml version="1.0" encoding="UTF-8"?>
<manifest>
<remote fetch="https://github.com/iayanpahwa/" name="EazyExit" />
<project name="FastLED.git" path="lib/FastLED" remote="EazyExit" revision="c1ab8fa86f6d6ecbf40ab7f28b36116a3c931916" />
<project name="pubsubclient.git" path="lib/PubSubClient" remote="EazyExit" revision="dddfffbe0c497073d960f3b9f83c8400dc8cad6d" />
</manifest> Note: The manifest allows for various configurations, including project branches and alternative remotes (like Bitbucket or GitLab). Refer to the official documentation for a comprehensive list: https://gerrit.googlesource.com/git-repo/+/master/docs/manifest-format.md
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- Push the default.xml file to your GitHub repository (if using the provided example).
- Create a project directory (e.g., EazyExit).
Navigate to your project directory and initialise Repo
3. This command establishes the current directory as your project workspace.
Fetch dependencies using the repo sync command:
4. This command retrieves all dependencies specified in the manifest and stores them according to the defined paths.
By leveraging repo, you can effectively manage many dependencies within a single, streamlined workflow.
Repo empowers you to manage complex dependencies with ease, promoting a more flexible and adaptable development process. Checkout our other blogs on:
- How Git Submodules Can Save You Time
- Git Internals Part 1- List of basic Concepts That Power your .git Directory
- Git Internals Part 2: How does Git store your data?
- Git Internals Part 3: Understanding the staging area in Git
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In software development, we rarely build projects entirely from scratch. We leverage open-source libraries and frameworks to accelerate development and avoid reinventing the wheel. But managing these dependencies can quickly become a tangled mess, especially as projects grow and dependencies multiply.
This blog post explores a simple yet powerful Git feature called git-submodule, which streamlines dependency management and keeps your codebase clean and organised.
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Many developers resort to simply manually cloning and directly pushing dependency code into their main project’s codebase. While this may seem convenient at first, it creates several challenges:
- Version Control Issues: Updating dependencies becomes a manual process, increasing the risk of compatibility issues and security vulnerabilities.
- Upstream Changes: New features or bug fixes in the original library require manual integration, which is time-consuming and error-prone.
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git submodules allow you to integrate external Git repositories (containing your dependencies) directly into your project. This creates a modular approach with several benefits:
- Independent Updates: You can update submodules individually without affecting your main project code.
- Version Tracking: Submodules track the specific commit hash of the dependency you’re using, ensuring consistency and reproducibility.
- Modular Codebase: Your project remains clean and organised, with dependencies clearly separated from your core code.
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Let’s walk through a practical example. Imagine a project named “submodule-demo” that relies on two libraries:
- FastLED: A library for controlling LEDs
- PubSubClient: A library for implementing an MQTT client
Here’s how to leverage git-submodules to manage these dependencies:
- Project Structure: You can create a dedicated directory (e.g.,
lib) within your project to store dependencies. - Adding Submodules: Use the
git submodule addcommand to specify the URL of the external repository and the desired submodule path:
cd your_project/lib
git submodule add https://github.com/iayanpahwa/FastLED.git
git submodule add https://github.com/iayanpahwa/pubsubclient.git
This fetches the code from the specified repositories and stores them within the lib directory.
3. Initialising and Updating: Anyone cloning your project can easily initialise and update the submodules using the following commands:
git clone <your_project_URL>
cd <your_project_URL>
git submodule init
git submodule update
Alternatively, you can use the --recursive flag during cloning to automate these steps:
git clone --recursive <your_project_URL>
4. Version Control: Git submodules record the specific commit hash used from each dependency. This ensures everyone working on the project uses the same library version, promoting consistency and preventing compatibility issues.
Beyond the Basics:
While submodules default to fetching the latest commit from the dependency’s main branch, you can specify a different branch or commit hash. Refer to the official Git documentation (https://git-scm.com/book/en/v2/Git-Tools-Submodules) for details on advanced usage.
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By embracing git submodules, you can effectively manage dependencies, improve code organization, and streamline project collaboration. This approach promotes a more modular and maintainable codebase, saving you time and headaches in the long run.
Feel free to explore our other blog posts on Git internals for further insights!
Git Internals Part 1- List of basic Concepts That Power your .git Directory
Git Internals Part 2: How does Git store your data?
Git Internals Part 3: Understanding the staging area in Git
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This blog is contributed to Developer Nation by Netdata
Properly monitoring the health and performance of Docker containers is an essential skill for solo developers and large teams alike. As your infrastructure grows in complexity, it’s important to streamline every facet of the performance of your apps/services. Plus, it’s essential that the tools you use to make those performance decisions work across teams, and allow for complex scaling architectures.
Netdata does all that, and thanks to our Docker container collector, you can now monitor the health and performance of your Docker containers in real-time.
With Docker container monitoring enabled via cgroups, you get real-time, interactive charts showing key CPU, memory, disk I/O, and networking of entire containers. Plus, you can use other collectors to monitor the specific applications or services running inside Docker containers.
With these per-second metrics at your fingertips, you can get instant notifications about outages, performance hiccups, or excessive resource usage, visually identify the anomaly, and fix the root cause faster.
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Docker is a virtualization platform that helps developers deploy their software in reproducible and isolated packages called containers. These containers have everything the software needs to run properly, including libraries, tools, and their application’s source code or binaries. And because these packages contain everything the application needs, it runs everywhere, isolating problems where code works in testing, but not production.
Docker containers are a popular platform for distributing software via gateio, as we do for Netdata itself. But perhaps more importantly, containers are now being “orchestrated” with programs like Docker Compose, and platforms like Kubernetes and Docker Swarm. DevOps teams also use containers to orchestrate their microservices architectures, making them a fundamental component of scalable deployments.
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Netdata uses control groups—most often referred to as cgroups—to monitor Docker containers. cgroups is a Linux kernel feature that limits and tracks the resource usage of a collection of processes. When you combine resource limits with process isolation (thanks, namespaces!), you get what we commonly refer to as containers.
Linux uses virtual files, usually placed at /sys/fs/cgroup/, to report the existing containers and their resource usage. Netdata scans these files/directories every few seconds (configurable via check for new cgroups every in netdata.conf) to find added or removed cgroups.
The best part about monitoring Docker containers with Netdata is that it’s zero-configuration. If you have Docker containers running when you install Netdata, it’ll auto-detect them and start monitoring their metrics. If you spin up Docker containers after installing Netdata, restart it with sudo service netdata restart or the appropriate variant for your system, and you’ll be up and running!
Read more about Netdata’s cgroup collector in our documentation.
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Netdata auto-detects running containers and auto-populates the right-hand menu with their IDs or container names, based on the configuration of your system. This interface is expandable to any number of Docker containers you want to monitor with Netdata, whether it’s 1, 100, or 1,000.
Netdata also uses its meaningful presentation to organize CPU and memory charts into families, so you can quickly understand which containers are using the most CPU, memory, disk I/O, or networking, and begin correlating that with other metrics from your system.
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Netdata comes with pre-configured CPU and memory alarms for every running Docker container. Once Netdata auto-detects a Docker container, it initializes three alarms: RAM usage, RAM+swap usage, and CPU utilization for the cgroup. These alarms calculate their usage based on the cgroup limits you set, so they’re completely dynamic to any Docker setup.
You can, of course, edit your health.d/cgroups.conf file to modify the existing alarms or create new ones entirely.
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Netdata’s Docker monitoring doesn’t stop with entire containers—it’s also fully capable of monitoring the apps/services running inside those containers. This way, you’ll get more precise metrics for your mission-critical web servers or databases, plus all the pre-configured alarms that come with that collector!
You can monitor specific metrics for any of the 200+ apps/services like MySQL, Nginx, or Postgres, with little or no configuration on your part. Just set the service up using the recommended method, and Netdata will auto-detect it.
For example, here are some real-time charts for an Nginx web server, running inside of a Docker container, while it’s undergoing a stress test.
Visit our documentation and use the search bar at the top to figure out how to monitor favorite containerized service.
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To get started monitoring Docker containers with Netdata, install Netdata on any system running the Docker daemon. Netdata will auto-detect your cgroups and begin monitoring the health and performance of any running Docker containers.
If you already have Netdata installed and want to enable Docker monitoring, restart Netdata using the appropriate command for your system.
Netdata handles ephemeral Docker containers without complaint, so don’t worry about situations where you’re scaling up and down on any given system. As soon as a new container is running, Netdata dynamically attaches all the relevant alarms, and you can see new charts after refreshing the dashboard.
For a more thorough investigation of Netdata’s Docker monitoring capabilities, read our cgroups collector documentation and our Docker Engine documentation. You can also learn about running Netdata inside of a container in your ongoing efforts to containerize everything.
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In this captivating episode, we delve into the dynamic journey of Anand Mishra, the CTO of Analytics Vidhya, a frontrunner in the Data Science realm. Anand shares his transformative evolution from a Data Scientist to assuming the pivotal role of CTO, illuminating the intricate pathways and milestones that shaped his career trajectory. As we navigate through his experiences, listeners gain invaluable insights into the evolving landscape of Data Science, particularly amidst the burgeoning influence of AI.
Anand provides a compelling narrative on where the field of Data Science is headed, painting a vivid picture of its metamorphosis under the relentless march of artificial intelligence. From the intricate nuances of modern data analytics to the potential unleashed by generative AI, Anand’s perspective offers a glimpse into the future of this rapidly evolving domain.
With each anecdote and observation, Anand weaves a narrative that not only captures the essence of his personal journey but also serves as a compass for those navigating the ever-changing seas of Data Science and AI. Join us as we unravel the tapestry of innovation and exploration in this thought-provoking conversation with one of the foremost voices in the field.
Tune in to uncover the untold stories, gain exclusive insights, and embark on a journey of discovery that promises to illuminate the path ahead in the enthralling world of Data Science and AI.
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This episode features Mirek Stanek, an experienced Engineering Manager and author of the blog “Practical Engineering Manager.” Ayan and Mirek engage in a conversation covering several crucial aspects of software development:
- Software Project Planning: They delve into the art of planning software projects effectively. This involves discussions on setting goals, defining clear roadmaps, breaking down tasks, and utilizing project management tools and methodologies.
- Managing and Motivating Engineers: Mirek shares his insights on building and leading successful engineering teams. He discussed strategies for fostering communication, collaboration, and a positive work environment, along with techniques for keeping engineers motivated and engaged.
- Climbing the Ladder: Aspiring engineers can gain valuable knowledge as Ayan and Mirek explore the topic of career advancement in software development, skills and experiences needed to progress, strategies for professional development, and navigating career transitions.
- Hiring: The conversation also touched upon the complexities of hiring talented engineers. Mirek, with his expertise, might share insights on building a strong hiring process, conducting effective interviews, and identifying the right individuals for the team.
This episode offers guidance for both aspiring and experienced software engineers, providing valuable insights on project management, team leadership, career growth, and the hiring process. By listening to Mirek’s expertise and Ayan’s engaging discussion, listeners can gain valuable knowledge and practical tips for navigating the world of software development.
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This podcast episode features Simon Grimm, a multi-faceted entrepreneur and content creator behind DevDactic, Galaxies.dev, and the Ionic Academy. The discussion revolves around three key areas:
- Cross-Platform Applications: Ayan and Simon delve into the world of cross-platform app development, exploring the benefits and challenges of building apps that work seamlessly across different platforms like mobile and web. They also discussed various frameworks and tools available for efficient cross-platform development.
- Solopreneur Journey: Simon shares his experiences and insights as a solopreneur content creator. He talked about the initial steps he took, the challenges he faced while building his ventures, and the strategies he used to stay motivated and productive.
- Course Planning and Execution: Ayan and Simon delve into the process of planning and executing courses, likely specific to the context of Simon’s online academies. They also discussed topics like identifying course themes, structuring content, building engaging learning experiences, and reaching the target audience.
This episode offers valuable insights for aspiring developers, content creators, and solopreneurs interested in learning from Simon’s experience in building successful online businesses and educational platforms.
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Forget about dusty old maps and boring stats ‚Äì imagine navigating the ever-changing jungle of enterprise software development! It’s like discovering hidden tribes of people who code in modern programming languages (Python! Kotlin!), use cutting-edge CI/CD tools – Jenkins, CircleCI and work in big teams and have years of experience bringing an idea to life from the ground up by writing the most optimised code. It‚Äôs like building magical castles in the cloud.
That’s where we’re headed, adventurer! We’ll trek through Silicon Valley’s glittering skyscrapers, sneak into Bangalore’s secret startup dens, and even chill by the beach with coders from Africa brewing the next big tech revolution. No region is off-limits! Along the way, we’ll decode the whispers of rising tech trends ‚Äì AI whispering innovation to your data, blockchain building invisible fortresses, and old giants like Java shaking hands with nimble new stars like Swift. We’ll peek into everyone’s toolbox, from open-source bazaars to enterprise treasure chests, and maybe even borrow a cool gadget or two.
All this, based on our most recent pulse report, Q3, 2023, which you can find here. But before that, if you  are a professional developer or know someone who is, consider participating in our ongoing 26th Developer Nation survey and contribute to the optimisation of the developer experience.
Enterprise Development isn’t just about gadgets and gizmos. This is about the passionate humans behind the code ‚Äì the keyboard warriors battling bugs, the dreamers sketching the future, and the masterminds building software that’ll change the world (one line at a time!). Learning about enterprise developers is essential for a holistic understanding of software development, especially in large organizations where the challenges and requirements are distinct from those of smaller projects. This knowledge can benefit various stakeholders, from business leaders and project managers to individual developers and technology enthusiasts.
So, grab your coding backpack, your adventurous spirit, and your insatiable curiosity. It’s time to rewrite the jungle rules, one bug fix, one feature update, one innovative idea at a time.
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While regions like South Asia hold a scant 9.5% share of the world’s enterprise developers, North America, Western Europe, and Israel stand as towering giants, each wielding around 31% and 28.6% of the talent pool, respectively. This chasm in geographical distribution begs the question: what factors have sculpted such an uneven landscape?
Disparity in software development likely stems from socioeconomic and economic factors. Developed economies have better educational resources and established tech ecosystems, fostering a critical mass of skilled developers. Thriving tech hubs in other regions attract talent with promising careers and salaries while nascent ecosystems struggle to compete, hindering talent growth.
The stark disparities in the distribution of enterprise developers highlight the need for concerted efforts to bridge the digital divide and create a more equitable global tech landscape. By investing in human capital, fostering collaboration, and promoting inclusive growth, we can unlock the full potential of technology for all corners of the world.
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The technological preferences of enterprise developers paint a vivid picture of the industry’s driving forces. Web development and backend tasks reign supreme, captivating a whopping 82% of the developer pool. This focus reflects the ever-expanding web ecosystem and the crucial role of robust backend infrastructure in powering modern applications.
While web and backend rule the roost, mobile development and artificial intelligence (AI) are carving their own niches. With their ubiquitous presence in our daily lives, mobile apps attract roughly 35% of developers, driven by the ever-evolving mobile landscape and the insatiable demand for user-centric experiences. AI, though still in the early stages of enterprise adoption, holds the attention of around 33% of developers, hinting at its immense potential to revolutionise various sectors.
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Beyond technologies, the industries drawing developer interest are equally revealing. Software products and services take the crown, with nearly 40% of developers gravitating towards this dynamic domain. This affinity stems from the constant churn of innovation and the fast-paced nature of the software world. Financial services and banking, with their complex data landscapes and growing reliance on technology, come in a close second at 21.6%, showcasing the increasing convergence of finance and technology.
These trends signify a close interplay between developer preferences and industry needs. The prevalence of web and backend development aligns seamlessly with the software and financial sectors’ demand for a robust online presence and advanced data processing. Simultaneously, the growing interest in mobile and AI mirrors the increasing importance of user engagement and data-driven insights across various industries.
Understanding these connections provides valuable insights into the future of enterprise development. The emphasis on web, mobile, and AI is expected to strengthen, driven by both developer enthusiasm and industry demands. As these technologies advance, the software and financial sectors will likely stay ahead, attracting and fostering top developer talent.
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As the software development lifecycle evolves, Continuous Integration and Continuous Deployment (CI/CD) practices have become indispensable. Jenkins emerges as the dominant force in this arena, enjoying a staggering 66.5% usage. GitLab’s self-hosted version follows suit, while IBMCode and TeamCity trail as smaller players. Notably, Jenkins is popular in organizations with over 1,000 employees, with self-hosted GitLab closely behind at 37.2%. Azure Pipelines, IBM UrbanCode, and TeamCity cater to smaller segments of the market.
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The age-old frustration of “It works on my machine but not yours” has become a relic of the past, thanks to containerisation technologies like LXC and Docker. These container technologies are especially favoured by backend developers, commanding an impressive 61.8% usage. Database-as-a-Service (DBaaS) is also prominent at 34.6%. In the backend developer’s toolkit, cloud monitoring services are vital, with 23.7% usage.
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In the DevOps domain, GitHub is the leader, commanding a substantial 28% usage. Google Cloud Developer Tools follow closely at 13.8%, while AWS CodeCommit lags with just around 8% usage. These statistics underline the importance of collaboration and version control in the modern software development landscape.
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The enterprise development world is dynamic and shaped by regional influences and technological preferences. As we navigate the evolving landscape, it is clear that specific tools and practices have become integral to the development lifecycle. Whether it’s the dominance of Jenkins in CI/CD or the widespread adoption of containerisation technologies, staying informed about the trends is essential for developers and businesses alike. As we move forward, anticipating and adapting to these shifts will be key to thriving in the ever-changing enterprise development world.¬†
If you are an enterprise developer, I’d love to connect with you personally and learn more about your work and day-to-day challenges and how Developer Nation and SlashData can help you from our decades of experience in Developer Market Research and community building. Please reach out to me at ayan.pahwa@slashdata.co or on social media. Cheers!
– @iAyanPahwa
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Let’s get real. It’s a pain generating unique long alpha-numeric passwords and 2-factor authentications for every web or app service we use today, often ending up using the same old password (we can remember) across services and skipping 2fas if not enforced. Even if you use a password manager to generate and auto-fill your state-of-the-art strong passwords, you’re still vulnerable to attacks like Phishing, where a website looks identical to the one you are trying to access, although in reality it is a fraudulent copy -trying to use and steal your passwords as soon as they’re entered.
Using a 2-factor authentication is handy in this situation. Still, it involves either SMS-based OTPs or authenticator apps like Authy or Google Authenticator for TOTPs, requiring cellular connectivity or installation of additional apps. Not to mention, if you lose your password manager, it will be a nightmare.
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Passkey is a new passwordless authentication, standard by the FIDO alliance that aims to replace passwords and 2FAs, providing a faster, easier, and more secure authentication process.
Passkeys work on public-key architecture, generating public and private keys for each web or app service you use. The public key is saved on the web/mobile service server you intend to use, and the private key is kept securely on your local device, e.g. your Smartphone. Every modern smartphone processor today has a Secure Element which will generate and save these passkeys, which means not even you can read or directly access your private key.
Whenever you want to authenticate on a service,- a signature generated from your saved public key will be sent to your device, and you can authenticate this signature using your private key + Biometric Authentication, e.g. your device PIN, fingerprint or Face ID. Once the signature from the public key and private key matches, you’ll be successfully logged in, meaning you don’t have to enter any password or OTPs, saving you from creeping eyes while entering your passwords in the coffee shops. The Private key never leaves your device, and you don’t need to remember everything, + it’s Phishing proof since Phishing sites won’t have your public key anyway üòâ
So, to actually hack you, the hacker will require your device + your fingerprints/FaceID, and I don’t wanna imagine that scenario anyway.
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Every service you wish to use will generate a unique passkey that can be synced across all your devices using the ecosystem cloud sync, e.g. iCloud or password manager provided by your browser. You can also share your passkeys with devices and people you want. Hardware keys like Yubikeys can also be used to generate and save passkeys. If you’re on a desktop, you can still use your mobile device for passkey authentication using QR codes generated by the services while trying to log in. The QR code can then be scanned by your phone and finished with the passkey authentication.
For businesses, it saves cost on OTP services you provide for your users, and it’s pretty easy to add support for passkeys in your web or mobile applications using already existing authentication APIs offered for all major platforms – iOS, Android, Chrome, etc.
To start with Passkeys, look at the services already supporting it at https://www.passkeys.io/who-supports-passkeys and join the Passwordless train.
Participate in our ongoing survey and share your thoughts to help us and our partners build a secure experience for You!