@Scale’s Post

🚀 Discover the power of advanced video input pre-filtering in modern production workflow! Originally used to reduce noise in low-quality video, these techniques have evolved to enhance even pristine content. Tune into “Rethinking the Video Transcoding Pipeline: How Pre-Filtering Holds the Key to Efficiency and Quality” by Ramzi Khsib from Amazon Web Services (AWS), and explore how AWS Elemental's new pre-filtering solution improves video quality by reducing file sizes without compromising visual fidelity, while tackling common issues like softness and deblocking. 🌐 Learn how this technology enables efficient, high-quality video delivery for everything from streaming to broadcast, and gain practical insights for optimizing your own workflows. Register for Video @Scale today: https://lnkd.in/gxU5wKQj

Are you ready to unlock real-time data-driven insights? Join Deepthi M. and Me at 🔓📈 "ANT304-R | Accelerating the shift from batch to stream processing" which explores the transformative journey from traditional batch processing to stream processing. Gain key insights into architectural patterns, challenges, and best practices for seamless migration. 🚀 Witness a compelling use case demonstrating the benefits of real-time data processing with AWS streaming services. Register now: https://lnkd.in/e_nTG_XG #AWSreInvent #StreamProcessing #DataDriven

Hello Connections, ☁Day 25: #30DaysCloudChallenge Amazon Kinesis is a platform on AWS to collect, process, and analyze real-time, streaming data. Here's a simple demonstration using Kinesis Data Streams. Step 1: Log in to AWS Management Console Step 2: Navigate to Kinesis Step 3: Create a Data Stream Step 4: Configure the Data Stream Step 5: Verify the Data Stream Thank You !! #KarthiM #PEP #AWSCloudClub #30DaysCloudChallenge #AmazonWebService STAY TUNED !! MORE TO COME !! 🤗

🌟 Exciting News! 🌟 I recently completed an AWS Skillbuilder Lab on "Streaming Dynamic Content using Amazon CloudFront," diving into the world of dynamic streaming with Apple's HLS protocol. I explored how Amazon CloudFront ensures a seamless viewing experience by adapting to varying network speeds. Key Learnings: 📌 HLS (HTTP Live Streaming): Allows dynamic adjustment of movie playback quality matching available network speeds by creating different quality streams. 📌 Multi Bit-Rate Stream: Delivering media files in various bit-rates ensures optimal playback based on network speed. 📌 Amazon Elastic Transcoder: Provides scalable media transcoding, converting files for playback on multiple devices. 📌 Amazon CloudFront: Distributes content with low latency and high speeds. Lab Highlights: ✨ Set up and configured an Amazon Elastic Transcoder Pipeline. ✨ Created multi bit-rate media files with Amazon Elastic Transcoder. ✨ Delivered dynamic streams with Amazon CloudFront to ensure efficient content distribution. ✨ Set up Amazon Elastic Transcoder Pipeline and CloudFront distribution. ✨ Transcoded video files into different HLS formats for remote device distribution. This hands-on experience solidified my knowledge of AWS services like S3, Elastic Transcoder, and Amazon CloudFront for efficient media content delivery. It significantly enhanced my ability to implement and manage cloud-based streaming solutions. I’m excited to apply these skills in future projects and continue my journey in cloud computing. #AWS #CloudFront #ElasticTranscoder #CloudComputing #HLS #Streaming #ContinuousLearning #CloudEngineering

Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that can also convert speech into text. It supports a wide variety of audio coding formats, such as WAV, MP3, MP4, FLAC, AMR, AMR-WB, Ogg, and WebM. Moreover, it can process batch and streaming transcriptions. https://lnkd.in/g3ERkDna #aws #awscertified #awscertification #speechrecognition #transcription

Smooth workflows are critical in the cloud native world. This Cloud Native Computing Foundation (CNCF) Cloud Native Live session explores building an Internal Developer Platform (IDP) Backstage from Spotify that empowers developers with self-service tools while streamlining security and observability. Watch the recording with Linkerd Tech Evangelist Flynn and Backstage Maintainer Ben Lambert as they show you how a service mesh like Linkerd can supercharge your IDP, ensuring seamless communication and clear visibility. #Backstage #IDP #ServiceMesh #Linkerd #CloudNative #OpenSource

AWS is an excellent choice for streaming data storage due to its scalability, powerful processing options, flexible querying and analytics capabilities, strong security and compliance features, and the ability to optimize for performance and cost using best practices and the right combination of services. Here are some simple tips and services to manage streaming data from sensors. #Scalability #AWSStreamingData #StreamingAnalytics #RealTimeData #DataArchitecture #AWSKinesis #AmazonS3 #AWSLambda #AmazonEMR #AWSGlue #AmazonAthena #AmazonRedshift #ApacheParquet

Currently working on developing a demo using Apache Iceberg and Spark Structured Streaming to be run using EMR Serverless. This project includes a set of best practices for high throughput streaming ingest. So far numbers look good, let's see how far we can push end-to-end latency! #aws #analytics

Thrilled to enable 👋 Ollama Tool Calling support s/o Ian Maurer 👉 https://lnkd.in/dUzwd4As (+4 more updates 👇) 🛠️ Bedrock streaming error message fix 🔒 AWS Secret Mgr - fix get_secret from env var ⚡️ Caching - fix cache hit logging for streaming ✅ VertexAI - safetyResults + citationMetadata logged to langfuse

In a pivotal move for the video industry, Amazon Web Services (AWS) has launched ServerlessVideo, showcasing the power and flexibility of serverless architecture for both live and on-demand video streaming. 🎥 With the integration of technologies like AWS Step Functions, Amazon EventBridge, and AI-driven tools, ServerlessVideo promises to revolutionize video broadcasting, reducing image processing times from weeks to minutes. In his new article, Max Kalmykov, SVP at DataArt Media & Entertainment, explores the serverless approach and how AWS is shaping the future of video streaming: https://lnkd.in/d2Fxq2Dy #DataArt #DataArtMedia #videoindustry #serverlessvideo #AWS #serverless