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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. How can neural networks fit into Netflix video encoding? Video encoding using a conventional video codec, like AV1.

Network 292
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Designing Instagram

High Scalability

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 257
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity.

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Lessons learned from enterprise service-level objective management

Dynatrace

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs? Saturation.

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Mastering MongoDB® Timeout Settings

Scalegrid

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. For example, your payment history might be on one database cluster and your analytics records on another cluster. Knowing about these types of timeouts is essential for mastering MongoDB usage.

Java 130