Skip to main content

Panda activity widget

Keep track of all your encoding jobs

We’ve recently launched a new great way to keep track of your encoding queue, rather than logging into the app. The Panda activity web widget is an easy glance at what videos are being encoded, and those that are pending.

Data includes the filename, the profile, encoding process, and number of jobs left in the queue.

Configure it!

It’s really easy to get the widget on your website:

  1. Log into your account at pandastream.com
  2. Click on a cloud
  3. Under Cloud Settings, change “Enable Web Widget” to Yes.
  4. Copy and Paste the code to your website.
  5. Click Save Changes at the bottom of the Cloud Settings page.

Encode Faster with Panda Multi-Core Encoders

We’ve been experimenting with ways to increase the speed of encoding times and we’ve developed a feature that allows you to turn the knob, slam the gas pedal, or push on the thrust lever. Multi-Core encoders.

Panda’s value proposition is buy an encoder and use it as much as you’d like. Our customers love that. If you have more volume of encoding jobs, you would add encoders. Adding encoders doesn’t increase the speed of jobs – you simply can encode more at once.

Video Encoding Kryptonite

Enter Panda Multi-Core. We think we have found the kryptonite to video encoding by enabling the use of multi-core encodings. With Panda Multi-Core, you now have the ability to turn on 2-32 cores on your video encoding processes.

At this point we are testing how much faster you can encode your videos using our most popular codecs, like WebM. We are still testing how fast we can increase the speed, but it is theoretically possible to increase encoding speed by 2x, 10x or even more.

Scenarios explained

Lets say you’re currently on our Crane plan, which is four encoders. That gives the capability of encoding four videos at the same time. With Panda Multi-Core you can turn up the speed on each of those encoders by as many cores as added.

multicore

Those 4 encoders can tap into our multi-core system, and you can choose to have as many cores on each of those 4 encoders. For example, you can encode four videos at once, but with up to 32 cores each!

Its kinda like being in a water slide race against your best buds, but you just put on a jet pack.

Apply for Beta

Currently we are testing out multi-core encoders with a few of our customers and seeing great results. Do you want to reduce your encoding times by 2, 10 or even 32 times? Give us a shout!

Timestamps in Panda

timestamp

A few weeks back we showed you how you could implement timestamps on your encoded videos, and we had a lot of great feedback – thank you!

A few of you also asked if this was available in the GUI as well. So, we did it! You can login to your Panda account, and select or create a new profile that you want to use for timestamps. You can check the timestamps box, and that will turn on the feature.

Currently, the options are limited, simply turning it on and off. If you are looking for more options in the GUI for timestamps, please let us know!

The video encoder adds the timestamp with FFMPG and works best with FPS of 24, 25, 30, 50 and 60.

timestamps-onvideo

The Program Praises Speedy Panda Integrations

We had the chance to sit down with Coe Lottis and Eli Anderson from The Program to discuss how they used Panda for their newest project. Coe is a Partner and Director of brand Strategy. He crafts concepts for their brand partners, then brings those concepts to market. Eli is a Senior Application Engineer.

About The Program

The Program is a digital agency located in Portland, Oregon with a growing client base in Los Angeles. The agency has a number of big brand clients, such as Nike, Twitter, Obey Clothing and more. Most of their clients lean on them for technology, and new and innovative ways of interacting with consumers across digital touchpoints.

The Program’s newly launched project allows users to upload their own content. This year-long project uses Panda. “It has been a fun one for us,” Coe says. Eli adds: “The app is live in production. Everything is working great.”

theprogram

Ease Of Use Made Panda The Obvious Choice

For this project, The Program was looking for a cloud video encoding solution. They relied on their application engineers to pitch solutions they thought would be a good fit for the project’s needs and requirements.

0ee4f96The Program’s tech lead, Eli worked with Panda previously, so suggested it for this project. “This was the third large project integration that I used Panda for. I evaluated it along with a couple other solutions. One of the main reasons I chose it for this project is the ease of integration. I mainly develop on Ruby, and did all the integration from scratch. This project uses Ruby on Rails and Panda has great integration there.”

“What it came down to was ease-of-use more than anything,” adds Coe Lottis. “As we looked at what some of the options were, it became apparent that Panda was the right fit. Having a tech lead that was familiar and comfortable working with Panda made it our obvious choice.”

User Integrations Makes Panda A Turnkey Product That The Program Recommends

Panda can easily be integrated using a web interface, javascript API or other integration. The Program sees this as one of its key benefits. Eli used Panda’s Ruby Gem to integrate. He goes on to say, “I also really like the debug console that Panda has for uploads, and being able to send messages back to the application. It’s super handy. The tool is set up well, and is easy to use.”

Coe LottisWe asked Coe if he would recommend Panda for similar solutions. “I would suggest Panda for its user integration. When we have a large project that takes upwards of a year, we look for solutions that don’t require heavy lifting from an integration perspective. Panda has a turnkey solution that provides all the features we needed for the requirements of this project. We were able to roll it out with minimal effort, based on the service that Panda offers.”

Panda Doesn’t Slow The Train

Sometimes, integrating third-party tools can slow down a project path. Not so with Panda, Coe states: “When you look at having to integrate third-party systems, it can bog things down and really slow the train. It’s key for us to work with a third-party vendor, like Panda, where we can get the support and information that we need in a timely manner. You can hit hurdles when you work through certain levels of integration that sometimes aren’t necessary. It may boil down to a third-party service not remaining focussed on what their piece is. Panda focusses on what it does and does it really well. It’s allowed us to plug in and keep moving along.”

Panda’s Pricing Sweetens The Deal

In addition to ease-of-use and ease-of-integration, Coe Lottis goes further to say: “The costs are great. Panda’s pricing model allowed us to hang on to our budget.”