Many users are sharing passwords with someone outside their household

According to a survey by The Harris Poll, one in 10 Americans would prolong a relationship with a friend or partner to maintain access to their streaming account. Moreover, 68% of Americans admitted to using the same password on multiple accounts and 6… Continue reading Many users are sharing passwords with someone outside their household

Streaming Traffic Peaks During Biden Inauguration

Live news streaming traffic during the Biden inauguration ceremony on January 20 peaked at 12 Tbps on the Akamai Intelligent Edge Platform. The peak, which occurred as now-President Biden was taking the oath of office just before 12 PM ET, is roughly 8… Continue reading Streaming Traffic Peaks During Biden Inauguration

Streaming Traffic Peaks During Biden Inauguration

Live news streaming traffic during the Biden inauguration ceremony on January 20 peaked at 12 Tbps on the Akamai Intelligent Edge Platform. The peak, which occurred as now-President Biden was taking the oath of office just before 12 PM ET, is roughly 8x higher than what we typically see for mid-day traffic on a weekday. However, it’s still less than the 18 Tbps we observed during 2020 election night on November 3. Continue reading Streaming Traffic Peaks During Biden Inauguration

Using LL-HLS with byte-range addressing to achieve interoperability in low latency streaming

HTTP Adaptive Segmented (HAS) streaming began to be used at scale from 2008 to 2012, with the advent of Move Networks, Microsoft Smooth Streaming, Apple HLS, Adobe HDS, and MPEG DASH. With the typical 10s segment durations of the day, livestream latencies (measuring latency as the time from an action being filmed to that same action being displayed on a device’s screen) remained in the 30s to 60s range, trailing broadcast by a significant degree. Over the next decade, segment durations were reduced down to 2s, bringing with them a concomitant reduction in latency to the 8s to 16s range. That range remains the typical latency for many live events today. The year 2020 then brought the industry a pleasant surprise — not one, but two HAS standards were released that target latency in the 2s range: Low Latency DASH (LL-DASH) and Low Latency HLS (LL-HLS). Both these standards were developed independently, and while they can be deployed as separate streams in a content delivery system, there are performance and cost gains to be had for packagers, origins, CDNs, and players if both streaming formats can be served by a single-set of media objects. Continue reading Using LL-HLS with byte-range addressing to achieve interoperability in low latency streaming

Preparing the Edge for a Big Year in Live Streaming

Next year is shaping up to be a big one for live streaming. Typically characteristic of even years, when many major international sporting events take place, 2021 looks like it could defy the trend. Akamai is predicting an unprecedented surge in live s… Continue reading Preparing the Edge for a Big Year in Live Streaming

Preparing the Edge for a Big Year in Live Streaming

Next year is shaping up to be a big one for live streaming. Typically characteristic of even years, when many major international sporting events take place, 2021 looks like it could defy the trend. Akamai is predicting an unprecedented surge in live streaming that will start in late 2020 and continue throughout 2021. During this stretch, we could realistically see 50 million people concurrently streaming a single live event. That’s roughly double the largest number of viewers we’ve seen during a single event in the past. With this in mind, Akamai has used much of 2020 to prepare new capabilities included in the Akamai Platform Update that will help customers prepare for this surge in live streaming. Continue reading Preparing the Edge for a Big Year in Live Streaming

Machine Learning’s Role in Safe Livestreaming

With no concrete end in sight to stay-at-home orders across the globe, people are flocking to unified communications and streaming platforms in droves. Whether they are craving human connection, working remotely or attending classes online, millions a… Continue reading Machine Learning’s Role in Safe Livestreaming

Machine Learning Identifies Weapons in the Christchurch Attack Video. We Know, We Tried It

It took 29 minutes for a Facebook user to first report the livestream of the Christchurch terrorist. Now a machine learning system spots weapons in the stream with an over 90 percent confidence rating. Continue reading Machine Learning Identifies Weapons in the Christchurch Attack Video. We Know, We Tried It