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. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

DECEMBER 27, 2022

First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Establish realistic SLO targets based on statistical and probabilistic analysis. Latency is the time that it takes a request to be served. Reliability.

Software 272

Software Software Benchmarking Latency 272

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions.

Availability 253

Availability Hardware Latency Traffic 253

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 216

Serverless Lambda Azure AWS 216

Dynatrace

MAY 17, 2023

The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more. Performance analysis covers the technical aspects of the service, such as error rates, geo-locations, XHR actions, and user-bot ratio.

Metrics 179

Metrics Monitoring Database Network 179

The Netflix TechBlog

FEBRUARY 18, 2022

We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

AUGUST 16, 2023

That’s a significant amount and certainly more than is necessary relative to the traffic on most clusters. More acutely, if a traffic spike occurs and Zuul instances scale up, it exponentially increases connections open to origins. There is effectively no churn of connections, even at peak traffic.

Traffic 170

Traffic Servers Google Metrics 170

Dynatrace

JULY 24, 2023

When a server experiences an outage, the system promptly triggers an alert and initiates actions like restarting a server or redirecting traffic to a redundant server. Change impact analysis is an indispensable process for effectively managing changes within an organization’s infrastructure and applications.

DevOps 228

DevOps Traffic Efficiency Servers 228

Percona

DECEMBER 11, 2023

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. For write-only traffic, the QPS counters match the performance of standard RDS instances for lower thread counts, though, for higher counters, there is a drastic improvement.

AWS 97

AWS Benchmarking Performance Traffic 97

Dynatrace

JULY 18, 2023

Dynatrace provides automation for detecting problems, and you can opt to automatically run a change-impact analysis report to proactively validate important objectives. This same mechanism can also be leveraged to validate the impact of new software releases on resources, logs, performance, reliability, or business measures.

Best Practices 198

Best Practices Code Infrastructure Latency 198

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Percona

MARCH 20, 2023

Instead, an analysis needs to be done. In this case, we have a quite well-defined scenario that can resemble the image below: In this scenario, the proxies must sit inside Pods, balancing the incoming traffic from the Service LoadBalancer connecting with the active data nodes. Given that, there never was a single straight answer.

Games 121

Games Latency Traffic Cache 121

Dynatrace

SEPTEMBER 30, 2021

In case of a spike in traffic, you can automatically spin up more resources, often in a matter of seconds. Likewise, you can scale down when your application experiences decreased traffic. For example, as traffic increases, costs will too. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 172

Cloud Traffic Best Practices Strategy 172

Dynatrace

JUNE 8, 2020

Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs. Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency.

Software 166

Software Software Programming Metrics 166

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. I presented this analysis of response time distributions talk in 2016 — at Microxchg in Berlin ( video ). Mu is the mean of each component, the latency. I’ve been thinking about this for a long time.

Lambda 98

Lambda Latency Cache C++ 98

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 213

Monitoring Social Media IoT Metrics 213

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. The short answer is no.

Energy 130

Energy Latency Performance Network 130

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 104

Performance Monitoring Traffic Database 104

The Netflix TechBlog

AUGUST 13, 2020

We also highlight interesting broader events such as regional traffic evacuations and nearby deployments , information that is vital to understanding health holistically. Regional traffic evacuations. For example, a latency increase is less critical than error rate increase and some error codes are less critical than others.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

DZone

FEBRUARY 26, 2021

This test helps to ensure that the application performs as expected irrespective of the conditions like fluctuating network, bandwidth availability, or traffic load.

Performance Testing 122

Performance Testing Testing Performance Latency 122

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

Randon ASCII

JANUARY 12, 2022

One benchmark I wrote measured the L2 cache latency. I don’t remember what the L2 cache latency was but do remember that the latency varied depending on which CPU core I ran it on. The L2 latency from CPU core 0 was pretty reliably four cycles lower than the L2 latency from CPU core 1 or 2. So, anyway. mm distance!

Cache 126

Cache Latency Benchmarking Hardware 126

Percona

NOVEMBER 9, 2023

Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands. It distributes the load among containers and nodes automatically, ensuring that your application can handle any spike in traffic without the need for manual intervention from an IT staff.

Efficiency 103

Efficiency Cloud Healthcare Open Source 103

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? Few implementations have performance that approaches the lower bounds on shared-memory synchronization latency. Runtime contention.

Hardware 40

Hardware Transportation Performance Latency 40

IO River

NOVEMBER 15, 2023

In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. ‍At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. But instead of porridge, we're talking about WAF rules.Â

Traffic 52

Traffic Network Logistics Architecture 52

The Netflix TechBlog

NOVEMBER 2, 2021

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., Similar to chunk-based encoding , the VQS workflow consists of chunk-based quality calculations, followed by an assembly step. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 74

Performance Cache Traffic Metrics 74

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. Key players include HDFS and Ceph, prominent choices among distributed storage options tailored specifically for massive dataset analysis tasks.

Storage 130

Storage Systems Big Data Azure 130

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. That changed by the end of the year.) ## 5. in total.

Speed 126

Speed Java AWS Virtualization 126

The Morning Paper

JULY 4, 2019

Moreover, just like an A/B test, we’ll be collecting metrics while the experiment is underway and performing statistical analysis at the end to interpret the results. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors).

Latency 77

Latency Engineering Metrics Traffic 77