Ausnahme gefangen: SSL certificate problem: certificate is not yet valid ๐Ÿ“Œ Burst 4K encoding on Azure Kubernetes Service

๐Ÿ  Team IT Security News

TSecurity.de ist eine Online-Plattform, die sich auf die Bereitstellung von Informationen,alle 15 Minuten neuste Nachrichten, Bildungsressourcen und Dienstleistungen rund um das Thema IT-Sicherheit spezialisiert hat.
Ob es sich um aktuelle Nachrichten, Fachartikel, Blogbeitrรคge, Webinare, Tutorials, oder Tipps & Tricks handelt, TSecurity.de bietet seinen Nutzern einen umfassenden รœberblick รผber die wichtigsten Aspekte der IT-Sicherheit in einer sich stรคndig verรคndernden digitalen Welt.

16.12.2023 - TIP: Wer den Cookie Consent Banner akzeptiert, kann z.B. von Englisch nach Deutsch รผbersetzen, erst Englisch auswรคhlen dann wieder Deutsch!

Google Android Playstore Download Button fรผr Team IT Security



๐Ÿ“š Burst 4K encoding on Azure Kubernetes Service


๐Ÿ’ก Newskategorie: Programmierung
๐Ÿ”— Quelle: azure.microsoft.com

Burst encoding in the cloud with Azure and Media Excel HERO platform.

Content creation has never been as in demand as it is today. Both professional and user-generated content has increased exponentially over the past years. This puts a lot of stress on media encoding and transcoding platforms. Add the upcoming 4K and even 8K to the mix and you need a platform that can scale with these variables. Azure Cloud compute offers a flexible way to grow with your needs. Microsoft offers various tools and products to fully support on-premises, hybrid, or native cloud workloads. Azure Stack offers support to a hybrid scenario for your computing needs and Azure ARC helps you to manage hybrid setups.

Finding a solution

Generally, 4K/UHD live encoding is done on dedicated hardware encoder units, which cannot be hosted in a public cloud like Azure. With such dedicated hardware units hosted on-premise that need to push 4K into the Azure data center the immediate problem we face is a need for high bandwidth network connection between the encoder unit on-premise and Azure data center. In general, it's a best practice to ingest into multiple regions, increasing the load on the network connected between the encoder and the Azure Datacenter.

How do we ingest 4K content reliably into the public cloud?

Alternatively, we can encode the content in the cloud. If we can run 4K/UHD live encoding in Azure, its output can be ingested into Azure Media Services over the intra-Azure network backbone which provides sufficient bandwidth and reliability.

How can we reliably run and scale 4K/UHD live encoding on the Azure cloud as a containerized solution? Let's explore below.ย 

Azure Kubernetes Service

With Azure Kubernetes Services (AKS) Microsoft offers a managed Kubernetes platform to customers. It is a hosted Kubernetes platform without having to spend a lot of time creating a cluster with all the necessary configuration burden like networking, cluster masters, and OS patching of the cluster nodes. It also comes with pre-configured monitoring seamlessly integrating with Azure Monitor and Log Analytics. Of course, it still offers flexibility to integrate your own tools. Furthermore, it is still just the plain vanilla Kubernetes and as such is fully compatible with any existing tooling you might have running on any other standard Kubernetes platform.

Media Excel encoding

Media Excel is an encoding and transcoding vendor offering physical appliance and software-based encoding solutions. Media Excel has been partnering with Microsoft for many years and engaging in Azure media customer projects. They are also listed as recommended and tested contribution encoder for Azure Media Services for fMP4. There has also work done by both Media Excel and Microsoft to integrate SCTE-35 timed metadata from Media Excel encoder to an Azure Media Services Origin supporting Server-Side Ad Insertion (SSAI) workflows.

Networking challenge

With increasing picture quality like 4K and 8K, the burden on both compute and networking becomes a significant architecting challenge. In a recent engagement with a customer, we needed to architect a 4K live streaming platform with a challenge of limited bandwidth capacity from the customer premises to one of our Azure Datacenters. We worked with Media Excel to build a scalable containerized encoding platform on AKS. Utilizing cloud compute and minimizing network latency between Encoder and Azure Media Services Packager. Multiple bitrates with a top bitrate up to 4Kp60@20Mbps of the same source are generated in the cloud and ingested into the Azure Media Services platform for further processing. This includes Dynamic Encryption and Packaging. This setup enables the following benefits:

  • Instant scale to multiple AKS nodes
  • Eliminate network constraints between customer and Azure Datacenter
  • Automated workflow for containers and easy separation of concern with container technology
  • Increased level of security of high-quality generated content to distribution
  • Highly redundant capability
  • Flexibility to provide various types of Node pools for optimized media workloads

In this particular test, we proved that the intra-Azure network is extremely capable of shipping high bandwidth, latency-sensitive 4K packets from a containerized encoder instance running in West Europe to both East US and Honk Kong Datacenter Regions. This allows the customer to place origin closer to them for further content conditioning.

High-level Architecture of used Azure components for 4K encoding in the Azure cloud.

Workflow:

  1. Azure Pipeline is triggered to deploy onto the AKS cluster. In the YAML file (which you can find on Github) there is a reference to the Media Excel Container in Azure Container Registry.
  2. AKS starts deployment and pulls container from Azure Container Registry.
  3. During Container start custom PHP script is loaded and container is added to the HMS (Hero Management Service). And placed into the correct device pool and job.
  4. Encoder loads source and (in this case) push 4K Livestream into Azure Media Services.
  5. Media Services packaged Livestream into multiple formats and apply DRM (digital rights management).
  6. Azure Content Deliver Network scales livestream.

Scale through Azure Container Instances

With Azure Kubernetes Services you get the power of Azure Container Instances out of the box. Azure Container Instances are a way to instantly scale to pre-provisioned compute power at your disposal. When deploying Media Excel encoding instances to AKS you can specify where these instances will be created. This offers you the flexibility to work with variables like increased density on cheaper nodes for low-cost low priority encoding jobs or more expensive nodes for high throughput high priority jobs. With Azure Container Instances you can instantly move workloads to standby compute power without provisioning time. You only pay for the compute time offering full flexibility for customer demand and future change in platform needs. With Media Excelโ€™s flexible Live/File based encoding roles you can easily move workloads across different compute power offered by AKS and Azure Container Instances.

Container Creating on Azure Kubernetes Services (AKS)

Media Excel Hero Management System showing all Container Instances.

Azure DevOps pipeline to bring it all together

All the general benefits that come with containerized workload apply in the following case. For this particular proof-of-concept, we created an automated deployment pipeline in Azure DevOps for easy testing and deployment. With a deployment YAML and Pipeline YAML we can easily automate deployment, provisioning and scaling of a Media Excel encoding container. Once DevOps pushes the deployment job onto AKS a container image is pulled from Azure Container Registry. Although container images can be bulky utilizing node side caching of layers any additional container pull is greatly improved down to seconds. With the help of Media Excel, we created a YAML file container pre- and post-container lifecycle logic that will add and remove a container from Media Excel's management portal. This offers an easy single pane of glass management of multiple instances across multiple node types, clusters, and regions.

This deployment pipeline offers full flexibility to provision certain multi-tenant customers or job priority on specific node types. This unlocks the possibility of provision encoding jobs on GPU enabled nodes for maximum throughput or using cheaper generic nodes for low priority jobs.

Deployment Release Pipeline in Azure DevOps.

Azure Media Services and Azure Content Delivery Network

Finally, we push the 4K stream into Azure Media Services. Azure Media Services is a cloud-based platform that enables you to build solutions that achieve broadcast-quality video streaming, enhance accessibility and distribution, analyze content, and much more. Whether you're an app developer, a call center, a government agency, or an entertainment company, Media Services helps you create apps that deliver media experiences of outstanding quality to large audiences on todayโ€™s most popular mobile devices and browsers.

Azure Media Services is seamlessly integrated with Azure Content Delivery Network. With Azure Content Delivery Network we offer a true multi CDN with choices of Azure Content Delivery Network from Microsoft, Azure Content Delivery Network from Verizon, and Azure Content Delivery Network from Akamai. All of this through a single Azure Content Delivery Network API for easy provisioning and management. As an added benefit, all CDN traffic between Azure Media Services Origin and CDN edge is free of charge.

With this setup, weโ€™ve demonstrated that Cloud encoding is ready to handle real-time 4K encoding across multiple clusters. Thanks to Azure services like AKS, Container Registry, Azure DevOps, Media Services, and Azure Content Delivery Network, we demonstrated how easy it is to create an architecture that is capable of meeting high throughput time-sensitive constraints.

...



๐Ÿ“Œ Burst 4K encoding on Azure Kubernetes Service


๐Ÿ“ˆ 52.98 Punkte

๐Ÿ“Œ Spieleentwicklung: Burst Compiler 1.3 ermรถglicht Debugging von Burst-Code


๐Ÿ“ˆ 42.27 Punkte

๐Ÿ“Œ Azure Kubernetes Service on Azure Stack HCI (AKS-HCI): An Azure Arc enabled turnkey | OD502


๐Ÿ“ˆ 30.91 Punkte

๐Ÿ“Œ GNU Screen up to 4.8.0 UTF-8 Encoding encoding.c denial of service


๐Ÿ“ˆ 30.25 Punkte

๐Ÿ“Œ Google Go Encoding XML Package encoding error [CVE-2020-29511]


๐Ÿ“ˆ 27.5 Punkte

๐Ÿ“Œ Google Go up to 1.15 Encoding XML Package encoding error


๐Ÿ“ˆ 27.5 Punkte

๐Ÿ“Œ Google Go Encoding XML Package encoding error [CVE-2020-29509]


๐Ÿ“ˆ 27.5 Punkte

๐Ÿ“Œ Encoding Categorical Variables: A Deep Dive into Target Encoding


๐Ÿ“ˆ 27.5 Punkte

๐Ÿ“Œ Secure traffic between pods using network policies in Azure Kubernetes Service (AKS) | Azure Friday


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Microsoft Azure Kubernetes Service/Azure IoT Edge Docker privilege escalation


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Implement Azure Database for PostgreSQL - Hyperscale & Azure Kubernetes Service


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Learn Live - Manage Azure Kubernetes Service on Azure Stack HCI


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Microsoft Learn: Ein Azure Kubernetes Service-Netzwerk mit Azure CNI entwerfen


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Multiple node pools in Azure Kubernetes Service (AKS) | Azure Friday


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ How to build and deploy a containerized app to Azure Kubernetes Service (AKS) | Azure Friday


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Ignite 2022: Azure Arc und Azure Kubernetes Service fรผr Edge-Gerรคte


๐Ÿ“ˆ 24.51 Punkte

๐Ÿ“Œ Azure Container Registry Tasks: Build and deploy to Azure App Service | Azure Friday


๐Ÿ“ˆ 21.97 Punkte

๐Ÿ“Œ Azure Friday Live - Azure App Service full-screen create experience | Azure Friday


๐Ÿ“ˆ 21.97 Punkte

๐Ÿ“Œ How to execute Azure Machine Learning service pipelines in Azure Data Factory | Azure Friday


๐Ÿ“ˆ 21.97 Punkte

๐Ÿ“Œ Azure Friday Live - Helm 3: Distributed app package management for Kubernetes | Azure Friday


๐Ÿ“ˆ 21.76 Punkte

๐Ÿ“Œ Azure Arc gives you the ability to run Azure Kubernetes anywhere you need.


๐Ÿ“ˆ 21.76 Punkte

๐Ÿ“Œ Azure Friday Live - Helm 3: Distributed app package management for Kubernetes | Azure Friday


๐Ÿ“ˆ 21.76 Punkte

๐Ÿ“Œ Preview of Availability Zones for your Kubernetes cluster in Azure | Azure Friday


๐Ÿ“ˆ 21.76 Punkte

๐Ÿ“Œ Azure Arc enabled Kubernetes with GitOps | Azure Friday


๐Ÿ“ˆ 21.76 Punkte

๐Ÿ“Œ God Eater 2 Rage Burst: Ende August für PS4, PS Vita und PC in Europa; Termin ...


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ [shellcode] - Linux/x86-64 - Subtle Probing Reverse Shell, Timer, Burst, Password, Multi-Terminal (84, 122, 172 bytes)


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ God Eater 2 Rage Burst: Ende August für PS4, PS Vita und PC in Europa; Termin ...


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ [shellcode] - Linux/x86-64 - Subtle Probing Reverse Shell, Timer, Burst, Password, Multi-Terminal (84, 122, 172 bytes)


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ Inti Creates verrรคt neue Details zu Mighty Gunvolt Burst


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ Bitcoin Bubble Burst soll vor Kurseinbruch warnen


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ GSM burst transmission in GNU Radio


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ Pre-Production Samsung Galaxy Note 7 Units Burst Into Flames in China


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ Pre-Production Samsung Galaxy Note 7 Units Burst Into Flames in China


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ Boffins don't want to burst your bubble โ€“ they create them with sound


๐Ÿ“ˆ 21.14 Punkte

๐Ÿ“Œ Is Bitcoin Just A Bubble That Will Burst In 2019 Or Really A Worthwhile Investment?


๐Ÿ“ˆ 21.14 Punkte











matomo