Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. There is plenty to like about moving to a serverless architecture, but there can be some disadvantages compared to the traditional, monolithic model.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. When an application is triggered, it can cause latency as the application starts.

Serverless 245

Serverless Efficiency Lambda Azure 245

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. 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. via bug fixes).

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Metrics are a key part of understanding application health. Client metrics and QoE changes.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

The Netflix TechBlog

NOVEMBER 2, 2020

High level playback architecture with priority throttling and chaos testing Building a request taxonomy We decided to focus on three dimensions in order to categorize request traffic: throughput, functionality, and criticality. Those two metrics are approximate indicators of failures and latency.

Traffic 252

Traffic Metrics Infrastructure Architecture 252

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

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 137

Tuning Cache Servers Benchmarking 137

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. We are taking Big Data Orchestration to the next level and constantly solving new problems and challenges, please stay tuned. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

Brendan Gregg

MAY 16, 2017

You might imagine that at some point we had a major scaling crises, where it looked like we'd fail due to an architectural bottleneck, and engineers worked long nights and weekends to save Netflix from certain disaster. A latency outlier issue that happened every 15 minutes. That'd make a great story, but it didn't happen.

Java 75

Java Entertainment Engineering Scalability 75

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 106

Database Benchmarking Latency C++ 106

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. For specific information on I/O tuning and balancing, you will find more details in the following document. Dirty Page Latency ​​ – A page is considered dirty when data modifications have taken place.

Servers 40

Servers Cache Media Hardware 40

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Stay tuned!

Benchmarking 97

Benchmarking Cache Latency Tuning 97