Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Answer-driven DevOps automation goes beyond creating tickets and extends to executing workflows designed to extract ownership information and then route the ticket to the responsible teams.

DevOps 209

DevOps Traffic Efficiency Servers 209

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. By the following morning, alerts were received regarding high memory consumption and GC latencies, to the point where the service was unresponsive to HTTP requests.

Latency 213

Latency Traffic Transportation Cloud 213

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. You can also create custom charts. Requirements.

AWS 134

AWS Metrics IoT Storage 134

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. You can also create custom charts. Requirements.

AWS 132

AWS Metrics IoT Storage 132

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

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs. This was a perfectly sufficient design for many years. To name a few: Updating XML files is error-prone and manual in nature.

Engineering 142

Engineering Scalability Architecture Innovation 142

InfoQ

DECEMBER 27, 2023

LinkedIn announced that it would be moving to gRPC with Protocol Buffers for the inter-service communication in its microservices platform, where previously an open-source Rest.li framework was used with JSON as a primary serialization format.

Open Source 142

Open Source Latency Tuning Scalability 142

Brendan Gregg

MAY 16, 2017

We're on the EC2 cloud, which has great scalability, and our own cloud architecture of microservices is also designed for scalability. A latency outlier issue that happened every 15 minutes. That'd make a great story, but it didn't happen. Java core dump analysis for a crashing JVM. -

Java 75

Java Entertainment Engineering Scalability 75

InfoQ

APRIL 15, 2024

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.

Artificial Intelligence 107

Artificial Intelligence Big Data Data Engineering Latency 107

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

The Netflix TechBlog

DECEMBER 21, 2020

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. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

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 third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

OCTOBER 27, 2020

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. Figure 1 shows how we use Bulldozer to move data at Netflix. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

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. The incremental processing solution (IPS) described here has been designed to address the above problems. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. 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

All Things Distributed

DECEMBER 12, 2013

We launched DynamoDB last year to address the need for a cloud database that provides seamless scalability, irrespective of whether you are doing ten transactions or ten million transactions, while providing rock solid durability and availability. Going beyond Key-Value. Start with DynamoDB.

Games 130

Games Scalability Database Retail 130

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements.

Lambda 122

Lambda Cloud IoT AWS 122

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. This is different from ​​ the reference count design ​​ that was ​​ used in SQL Server 7.0 and ​​ 2000.

Servers 40

Servers Cache Database Media 40

All Things Distributed

OCTOBER 2, 2017

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. So, we set out to build a fully hosted AWS database service based upon the original Dynamo design.

Internet 128

Internet Internet AWS Performance 128

The Netflix TechBlog

DECEMBER 17, 2019

Designed with High Availability in mind. We designed the framework to minimize database impact. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low. Dumps can be taken any time, via a provided API.

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

Designed with High Availability in mind. We designed the framework to minimize database impact. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low. Dumps can be taken any time, via a provided API.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

NOVEMBER 3, 2023

However, this design decision led to a different set of challenges. Additionally, instead of implementing business logic by composing multiple individual Processors together, users could express their logic in a single SQL query, avoiding the additional resource and latency overhead that came from multiple Flink jobs and Kafka topics.

Processing 265

Processing Engineering Infrastructure Latency 265