Nadav SofermanCo-Founder, CPO
Nadav is a true cloud expert. A veteran of the Israeli hi-tech industry, Nadav worked at various Internet startups for the past 17 years - developing web & mobile software and managing development teams.
Videos in web sites and apps are starting to catch up with images in terms of popularity and they are a constantly growing part of the media strategy for most organizations. This means bigger challenges for developers who need to handle these videos in their web sites and mobile apps. Cloudinary's mission is to solve all developer needs around image and video content management. In this blog post, we are excited to introduce Cloudinary's complete cloud-based video content management solution for developers.
As developers of web apps, you often need to let users upload files to your app - mainly images and videos. You want the upload interface you provide to offer an intuitive user experience, including the ability to drag & drop multiple media files, preview thumbnails of selected images and videos, view upload progress indication and more. Since we now all live in the cloud era, chances are that many of your users also store media files in the cloud rather than only locally on hard drives and mobile devices, so the option to pick files from social networks like Facebook, cloud storage services such as Dropbox, photo services like Google Photos and more is a big advantage.
Every image is unique and every one of your website visitors is different. In a perfect world, we'd like to adapt each image individually to be "just right" for every user. With "just right" being perfectly cropped, using responsive dimensions, correct encoding settings and optimal quality with the best image format.
The number of different devices available and their potential screen resolutions keep increasing, and to support this wide range of resolutions and devices, responsive website design is now the standard. A website's markup must adapt itself to look perfect on all the different devices and in various resolutions, pixel densities and mobile device orientations. Managing, manipulating and delivering images, is one of the main challenges of breakpoints for responsive design that web developers face.
As the end of 2015 approaches, we wanted to share a quick summary of Cloudinary’s accomplishment this year and some of our plans for next year. We couldn't possibly do this without including an image manipulation example! That's our hat trick in the title :-)
At Cloudinary, we always seek to seamlessly leverage the best optimized image formats for any of the different use cases for web and mobile applications. Therefore, we quickly added support for FLIF: uploading of FLIF files and dynamic conversion of any image format to FLIF or from FLIF.
As a website/app developer or owner, you’ve undoubtedly experienced your fair share of glitches and mishaps when it comes to users or site visitors sharing your content. Many outlets such as news and media sites, social networks, or eCommerce sites include the option to "like" or "share" content such as blog posts or images. Once shared, the social network site displays a snippet of the shared content alongside a featured image. This way, your site content gets maximum exposure in social networks and attracts additional visitors.
The Internet was abuzz last week after the announcement of Google’s new logo. What caught our eyes more than the artistic changes was this sentence on Google's blog: "building a special variant of our full-color logo that is only 305 bytes, compared to our existing logo at ~14,000 bytes". Sounds exciting! But is it correct?
Last month I was invited to speak at Daho.am, Munich's developers conference. This conference was organized by Stylight, a very successful fashion technology startup. Stylight signed up for a free Cloudinary account about 3 years ago and similarly to Cloudinary back then, Stylight were quite a young startup. Since then both companies have grown impressively together and Stylight are now a premium customer of Cloudinary, managing hundreds of millions of images.