The Netflix TechBlog

NOVEMBER 17, 2022

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block. How do we apply neural networks at scale efficiently?

Network 292

Network Media Innovation Efficiency 292

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 243

AWS Efficiency Azure Cloud 243

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.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently.

Best Practices 186

Best Practices Code Infrastructure Latency 186

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

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.

Engineering 173

Engineering DevOps Government Latency 173

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Setting up clear rules for managing your cloud infrastructure is key to keeping things from getting out of hand.

Strategy 130

Strategy Cloud Government Innovation 130

The Netflix TechBlog

SEPTEMBER 8, 2020

We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. For us, it means that we now need to have ~15 MDN tabs open when writing routes :) Let’s briefly discuss the architecture of this microservice.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 178

Lambda AWS Serverless Hardware 178

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 163

Cloud Traffic Best Practices Strategy 163

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

The Morning Paper

OCTOBER 11, 2020

Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. In the bent pipe architecture a satellite gathers and stores data until it is near a ground station, and then transmits whatever it has. Close-spaced constellation have much lower effective bandwidth, but also much lower latency.

Systems 125

Systems Latency Architecture Energy 125

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 242

Serverless Efficiency Lambda Azure 242

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. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.

Hardware 58

Hardware Latency Serverless Energy 58

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Testsigma

AUGUST 24, 2020

Lack of Testing Infrastructure: Often, organizations embark on the path of embracing Continuous Testing, without realizing the budgetary needs for it. A half-way journey to continuous testing without adequate infrastructure only adds to the woes of the testing team and doesn’t help anyone.

Testing 69

Testing Open Source Scalability Latency 69

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

JANUARY 14, 2022

Its ability to densely schedule containers into the underlying machines translates to low infrastructure costs. The following figure shows the high-level architecture where any load testing solution (e.g. The baseline configuration—the initial sizing of microservices—only provided an efficiency of 0.29 lower than 2%.).

Latency 200

Latency Tuning Efficiency AWS 200

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

Processing 229

Processing Media Latency Innovation 229

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Because of this flexibility, businesses may choose the infrastructure that best meets their needs. Cost and resource efficiency One of Kubernetes’ main advantages is its efficient use of resources.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

Serverless 228

Serverless Media Latency Social Media 228

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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data 253

Big Data Government Analytics Processing 253

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. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., via bug fixes).

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

JULY 12, 2019

The net result is, for many datasets, vastly more efficient use of RAM. and can achieve orders of magnitude more efficient data access, which opens up many possibilities. Old Gatekeeper Architecture This model had several problems associated with it: This process was completely I/O bound and put a lot of load on upstream systems.

Cache 183

Cache Architecture Latency Engineering 183

ACM Sigarch

DECEMBER 6, 2018

Orchestrate the processing flow across an end-to-end infrastructure. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. Four Research Areas for Visual Computing. Analyze/summarize Insights from Visual Streams. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. This architecture affords Amazon ECS high availability, low latency, and high throughput because the data store is never pessimistically locked. Below is a diagram of the basic components of Amazon ECS: How we coordinate the cluster.

Latency 166

Latency Architecture AWS Open Source 166