Scalegrid

MARCH 22, 2024

It focuses on aligning organizational needs with cloud services, balancing performance and cost, and ensuring compliance, security, and effective cost management. They can also bolster uptime and limit latency issues or potential downtimes. Pick combinations that are not just affordable but also high-performing.

Strategy 130

Strategy Cloud Government Innovation 130

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. 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 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. In layman’s terms, SLOs represent the performance or health of a service. Dynatrace news. Watch webinar now!

Metrics 189

Metrics Best Practices DevOps Infrastructure 189

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

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

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. In the recent MySQL 8.0.16 So to test I took a system with Skylake CPUs and all storage on a P4800X SSD. linux-glibc2.12-x86_64/data

Testing 48

Testing Tuning Latency Storage 48

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

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

JUNE 4, 2020

In this post, we are going to compare the performance and pricing of DigitalOcean PostgreSQL vs. ScaleGrid PostgreSQL to help you determine the best PostgreSQL hosting service on DigitalOcean. Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. PostgreSQL DigitalOcean Performance Test. Compare Pricing.

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

JANUARY 14, 2022

That is because Kubernetes provides several benefits from a performance perspective. However, setting the right parameters for Kubernetes clusters to ensure application availability, performance, and resilience while avoiding overspending isn’t a walk in the park. Dynatrace news. below 500ms) and error rates (e.g. lower than 2%.).

Latency 202

Latency Tuning Efficiency AWS 202

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

JUNE 13, 2023

A small percentage of production traffic is redirected to the two new clusters, allowing us to monitor the new version’s performance and compare it against the current version. Canaries also provide an opportunity to measure system performance under different load conditions, allowing us to identify and resolve any performance bottlenecks.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

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

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 243

Serverless Efficiency Lambda Azure 243

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

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 106

Artificial Intelligence Big Data Data Engineering Latency 106

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

The Netflix TechBlog

MAY 14, 2021

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases.

Traffic 160

Traffic Latency Java Google 160

The Netflix TechBlog

OCTOBER 27, 2020

Iceberg is widely adopted in Netflix as a data warehouse table format that addresses many of the usability and performance problems with Hive tables. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

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 138

Tuning Cache Servers Benchmarking 138

The Netflix TechBlog

FEBRUARY 18, 2022

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. This approach enables the computing power to catch up quickly when the queues grow.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

NOVEMBER 2, 2021

Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. via bug fixes).

Media 171

Media Innovation Metrics Latency 171

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

Scalegrid

OCTOBER 17, 2019

Moving to a multithreaded architecture will require extensive rewrites. But that causes a problem with PostgreSQL’s architecture – forking a process becomes expensive when transactions are very short, as the common wisdom dictates they should be. The PostgreSQL Architecture | Source. The Connection Pool Architecture.

Architecture 200

Architecture Database Latency Servers 200

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 Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92

Network Transportation Latency Entertainment 92

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. Two other schedulers are deadline and noop.

Best Practices 52

Best Practices Design Tuning Database 52

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. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. Before full-scale deployment, it's crucial to test the WAF's impact on application performance.

Traffic 52

Traffic Network Logistics Architecture 52

All Things Distributed

NOVEMBER 29, 2017

After this, there is often a long process of training that includes tuning the knobs and levers, called hyperparameters, that control the different aspects of the training algorithm. Built-in, high-performance ML algorithms, re-engineered for greater, speed, accuracy, and data-throughput.

Tuning 94

Tuning AWS Scalability Infrastructure 94

SQL Performance

APRIL 27, 2020

The business-critical tier has local SSD which provide much better IO performance with max data IOPS ranging from 8000 for a 2 vCore database up to 204,800 for an 80 vCore database. Hyperscale achieves high performance from each compute node having SSD-based caches which helps minimize the network round trips to fetch data.

Azure 55

Azure Database Serverless Hardware 55

IO River

NOVEMBER 2, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. Let's dive deep into these challenges.‍1. That's where Bot Detection comes in.

Traffic 40

Traffic Network Logistics Architecture 40

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. As is exactly the same with PostgreSQL for system choice a 2 socket system is optimal for MySQL OLTP performance. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

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. Most of my day is a 50/50 mixture of proactive projects, and reactive performance analysis. or at least try to!

Java 75

Java Entertainment Engineering Scalability 75

All Things Distributed

DECEMBER 12, 2013

However, we also knew that building a distributed database that has unlimited scale and maintains predictably high performance while providing rich and flexible query capabilities, is one of the hardest problems in database development, and will take a lot of effort and invention from our team of distributed database engineers to solve.

Games 130

Games Scalability Database Retail 130

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80