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I just want to remind everyone else (as I did earlier in my original post) that if you have a Smart TV you can download the Xfinity app directly to your set, and you won't have the audio lag. This bypasses the ROKU box . . . not an ideal solution, but it does work. It needs to be said . . . EVERY other streaming service works perfectly on ROKU . . . except Xfinity. It's not Roku folks . . . it's Xfinity!

Discord users may experience streaming sound problems, preventing them from hearing audio when they share their screen on Discord (and vice versa). The voice settings on the Discord application or Windows might be messed up. So, in this article, I have shared some methods to help you resolve the Discord stream no sound issue. Once fixed, you can even select an excellent screen recorder to capture Discord calls or audio effortlessly. Read on to find out more!

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Step 4. Quality of Service (QoS) is used by Discord to ensure that calls and streaming are prioritized above other local network traffic, but this occasionally results in problems. So, toggle off the Enable Quality of Service High Packet Priority slider to disable the feature and check whether the sound is working.

Kinesis Data Streams manages the infrastructure, storage, networking, and configuration needed to stream your data at the level of your data throughput. You don't have to worry about provisioning, deployment, or ongoing maintenance of hardware, software, or other services for your data streams. In addition, Kinesis Data Streams synchronously replicates data across three Availability Zones, providing high availability and data durability. By default, Kinesis Data Streams scales capacity automatically, freeing you from provisioning and managing capacity. You can choose provisioned mode if you want to provision and manage throughput on your own.

After you sign up for AWS, you can start using Kinesis Data Streams by creating a Kinesis data stream through either the AWS Management Console or the CreateStream operation. Then configure your data producers to continuously add data to your data stream. You can optionally send data from existing resources in AWS services such as Amazon DynamoDB, Amazon Aurora, Amazon CloudWatch, and AWS IoT Core. You can then use AWS Lambda, Amazon Managed Service for Apache Flink, or AWS Glue Streaming to quickly process data stored in Kinesis Data Streams. You can also build custom applications that run on Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Container Service (Amazon ECS), and Amazon Elastic Kubernetes Service (Amazon EKS) using either Amazon Kinesis API or Amazon Kinesis Client Library (KCL).

The capacity mode of Kinesis Data Streams determines how capacity is managed and usage is charged for a data stream. You can choose between provisioned and on-demand modes. In provisioned mode, you specify the number of shards for the data stream. The total capacity of a data stream is the sum of the capacities of its shards. You can increase or decrease the number of shards in a data stream as needed, and you pay for the number of shards at an hourly rate. In on-demand mode, AWS manages the shards to provide the necessary throughput. You pay only for the actual throughput used, and Kinesis Data Streams automatically accommodates your workload throughput needs as they ramp up or down. All Kinesis Data Streams write and read APIs, along with optional features such as Extended Retention and Enhanced Fan-Out, are supported in both capacity modes.

Yes. You can switch between on-demand and provisioned mode twice a day. The shard count of your data stream remains the same when you switch from provisioned mode to on-demand mode and vice versa. With the switch from provisioned to on-demand capacity mode, your data stream retains whatever shard count it had before the transition. But from that point on, Kinesis Data Streams monitors your data traffic and scales the shard count of this on-demand data stream up or down depending on traffic increase or decrease.

KCL handles complex issues such as adapting to changes in data stream volume, load-balancing streaming data, coordinating distributed services, and processing data with fault tolerance. KCL enables you to focus on business logic while building applications. Refer to Kinesis Data Streams documentation here for more details on KCL.

You can scale up a Kinesis data stream capacity in provisioned mode by splitting existing shards using the SplitShard API. You can scale down capacity by merging two shards using the MergeShard API. Alternatively, you can use UpdateShardCount API to scale up (or down) a stream capacity to a specific shard count.

The throughput of a Kinesis data stream is designed to scale without limits. The default shard quota is 500 shards per stream for the following AWS Regions: US East (N. Virginia), US West (Oregon), and Europe (Ireland). For all other Regions, the default shard quota is 200 shards per stream. You can request the increase in the shard quota using the AWS Service Quotas console.

Kinesis Data Streams integrates with AWS Identity and Access Management (IAM), a service that helps you securely control access to your AWS services and resources for your users. For example, you can create a policy that allows only a specific user or group to add data to your data stream. You can also attach a resource-based policy to your data stream or registered consumer to control access at the resource level. For more information about access management and control of your data stream, see Controlling Access to Amazon Kinesis Data Streams Resources using IAM.

Amazon Kinesis is secure by default. Only the account and data stream owners have access to the Kinesis resources they create. Kinesis supports user authentication to control access to data. You can use IAM policies to selectively grant permissions to users and groups of users. You can securely put and get your data from Kinesis through SSL endpoints using the HTTPS protocol. If you need extra security, you can use server-side encryption with AWS Key Management Service (AWS KMS) keys to encrypt data stored in your data stream. AWS KMS allows you to use AWS-generated KMS keys for encryption, or if you prefer, you can bring your own KMS key into AWS KMS. Lastly, you can use your own encryption libraries to encrypt data on the client side before putting the data into Kinesis.

Kinesis Data Streams and Amazon MSK are both popular data streaming platforms that help you build your own streaming workloads that process data for specialized needs. Both services are scalable, secure, and highly available. They can both be deployed to run streaming use cases such as real-time web and log analytics, personalizing customer experiences, event-driven architectures, IoT analytics, and real-time fraud detection. When choosing between the two, it is important to consider your specific use case and requirements. Here are some factors to consider:

Kinesis Data Streams enables real-time processing of streaming big data. It provides ordering of records, as well as the ability to read and/or replay records in the same order to multiple Amazon Kinesis Applications. The Amazon Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications reading from the same Kinesis data stream (for example, to perform counting, aggregation, and filtering). Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. Amazon SQS lets you easily move data between distributed application components and helps you build applications in which messages are processed independently (with message-level ack/fail semantics), such as automated workflows.

When using a device to capture audio, Video SDK sets a default global volume value of 85 (range [0, 255]). Video SDK automatically increases a capture device volume that's too low. You can adjust the capture volume as per your needs by adjusting the microphone or sound card's signal capture volume.

Speak into your development device as you move the slider on the Slider Control to the left and then right. You notice the volume decrease and then increase in the web demo app as the recording volume changes.

Press Share Sharing. You see your device screen shared in the web demo app and a preview on your development device. Press the same button again, you see screen sharing is stopped and the camera stream is restored in the web demo app.

To investigate the growth and diversification of Twitch, EEDAR collected the number of views by game for the top 100 games at every half hour interval throughout Q4 2014. When aggregated, this metric provides a sense of both number of users and their length of engagement, a metric which EEDAR calls "view volume." EEDAR estimates that the sample of games that reach the top 100 games (n=2791) accounts for 99 percent of the stream traffic on the site for Q4 2014.

While Twitch is becoming a more diverse content channel, the top multiplayer games that have strong eSports communities and operate as an ongoing game as a service (GaaS) drive a large percentage of the overall traffic. Interestingly, while League of Legends has almost double the share of Twitch view volume as Dota 2, Dota 2 over-indexes compared to the overall size of the respective games, as League of Legends has approximately seven times the monthly active users as Dota 2 (70 million compared to 10 million). This is likely driven by Twitch being a primarily Western Market product and by Dota 2 having a higher percentage of users that are interested in competitive play (League of Legends is considered the more accessible of the two games).

While inconsistent sound levels are hardly a new issue in the audio/video world, streaming services seem to have exacerbated the problem by putting so many different companies in charge of the experience. The good news is that the industry is taking some steps toward solving the problem. In the meantime, there are some tricks you can employ on your own to make volume levels more manageable. be457b7860