The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.

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The Netflix TechBlog

SEPTEMBER 8, 2020

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. While this gave client teams a very convenient “serverless” model, over time we ran into multiple operational and devex challenges with this service. It was a Node.js

Latency 233

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Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Solving for SR.

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Engineering DevOps Government Latency 176

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

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Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

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O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions. Upcoming events.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

The Morning Paper

JUNE 13, 2019

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

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The Netflix TechBlog

MARCH 1, 2021

Orchestrated Functions as a Microservice by Frank San Miguel on behalf of the Cosmos team Introduction Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. On the one hand, logic is divided between API, workflow and serverless functions. debian packages).

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O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

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Serverless Architecture FinTech Infrastructure 88

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

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Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

NOVEMBER 2, 2021

The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. There is an external-facing API layer (Optimus), a rule-based video quality workflow layer (Plato) and a serverless compute layer (Stratum). via bug fixes). We call this system Cosmos. The workflow is initiated.

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Media Innovation Metrics Latency 171

The Morning Paper

FEBRUARY 6, 2020

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.

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Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 178

Artificial Intelligence Metrics Architecture DevOps 178

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. It’s Aurora Serverless. In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS.

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AWS Database Serverless Storage 52

Smashing Magazine

AUGUST 3, 2023

Large preview ) Storing Data In BigQuery For Comprehensive Analysis Once we capture the Web Vitals metrics, we store this data in BigQuery , Google Cloud’s fully-managed, serverless data warehouse. Its robust infrastructure, scalability, and a wide network of edge locations around the world made it a strong candidate. LCP in seconds.

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Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Unfortunately, other than cost advantage Wordpress and Drupal have similar deficiencies i.e. legacy monolith architecture.

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Smashing Magazine

SEPTEMBER 24, 2021

It can be hosted on a CDN like Vercel or Netlify, which results in lower latency. Vercel and Netlify also use serverless functions for the Server Side Rendering, which is the most efficient way to scale out. It also contains infrastructure code, think of certain generic react hooks or GraphQL client code. Challenges.

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