The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251

Latency Cache Infrastructure Strategy 251

The Netflix TechBlog

SEPTEMBER 10, 2024

Dynomite is a Netflix open source wrapper around Redis that provides a few additional features like auto-sharding and cross-region replication, and it provided Pushy with low latency and easy record expiry, both of which are critical for Pushy’s workload. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.

Latency 235

Latency Cache Tuning Efficiency 235

The Netflix TechBlog

OCTOBER 19, 2020

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

Scalegrid

SEPTEMBER 10, 2024

Additionally, we’ve added the Philadelphia AWS Local Zone , helping to reduce latency for customers operating in the eastern U.S. This enables ScaleGrid users in Australia and nearby regions to access lower-latency services and improved performance. Stay tuned for more exciting updates in the months to come! <p>The

Latency 130

Latency AWS Storage Tuning 130

DZone

JULY 10, 2019

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. But to get the best performance, like any technology stack, you need to follow the best practices.

Best Practices 138

Best Practices Latency Storage Tuning 138

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

Storage 150

Storage Latency Operating System Network 150

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Additionally, the time-sensitive nature of these investigations precludes the use of cold storage, which cannot meet the stringent SLAs required.

Traffic 172

Traffic Scalability Strategy Monitoring 172

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 285

Traffic Metrics Systems Strategy 285

The Netflix TechBlog

MAY 14, 2021

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. The watermarking functionality, at the start, was a simple offering with various Google Drive integrations for storage and links.

Traffic 167

Traffic Java Latency Google 167

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

MARCH 23, 2023

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. If you see concurrency issues, you can tune this variable.

Performance 128

Performance Hardware Tuning Storage 128

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. Requirements.

AWS 137

AWS Metrics IoT Storage 137

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). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 210

Monitoring Social Media IoT Metrics 210

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. Requirements.

AWS 133

AWS Metrics IoT Storage 133

Percona

MAY 1, 2023

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. This message is normally a side effect of a storage subsystem that is not capable of keeping up with the number of writes (e.g., Want to save money on your AWS RDS bill? The settings might not be optimal. IOPs) required by MySQL.

AWS 124

AWS Hardware Storage Tuning 124

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., Stay tuned for more details on these algorithmic innovations. VQS is called using the measureQuality endpoint. The workflow is initiated.

Media 179

Media Innovation Metrics Latency 179

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

Scalegrid

NOVEMBER 4, 2024

Each ran with the following specs: 8GB RAM 2 vCPU 120GB SSD Configuration Details : Each PostgreSQL instance for Scalegrid and Amazon RDS was set up with default tuning parameters for PostgreSQL versions 13, 14, and 15. Network Latency : We ran both machines in the same region and conducted the tests from within the same box in that region.

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

Percona

NOVEMBER 3, 2023

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. 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 109

Database Benchmarking Latency C++ 109

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. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 105

Lambda Cloud IoT AWS 105

Percona

AUGUST 10, 2018

This may help tune your table level autovacuum settings appropriately. Tuning Autovacuum in PostgreSQL. How do we identify the tables that need their autovacuum settings tuned ? . In order to tune autovacuum for tables individually, you must know the number of inserts/deletes/updates on a table for an interval.

Tuning 45

Tuning Cache Database Storage 45

All Things Distributed

OCTOBER 2, 2017

Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases. DynamoDB automatically re-distributes your data to healthy servers to ensure there are always multiple replicas of your data without you needing to intervene.

Internet 113

Internet Internet AWS Performance 113

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. One-click, on-demand distributed training that sets up and tears down the cluster after training.

Tuning 77

Tuning AWS Scalability Infrastructure 77

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. vCore Pricing Tier. GB per vCore. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

HammerDB

MAY 5, 2019

However in the Skylake microarchitecture (you can see a list of CPUs here ) the PAUSE instruction changed and in the documentation it says “the latency of the PAUSE instruction in prior generation microarchitectures is about 10 cycles, whereas in Skylake microarchitecture it has been extended to as many as 140 cycles.”

Testing 49

Testing Tuning Latency Storage 49

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

The Morning Paper

MARCH 17, 2020

higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM. Optane DIMMs are here! Optane memory is also more pattern-dependent than DRAM.

Scalability 59

Scalability Latency Cache Media 59

The Morning Paper

MARCH 10, 2020

This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system. The paper examines three different uses of RocksDB at Facebook: UDB , the underlying storage engine for the MySQL databases storing the social graph data. Three workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Brendan Gregg

JUNE 30, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. Networks, PCIe busses, CPU interconnects, memory busses, and storage devices (both throughput and IOPS), all have fixed limits. They are: **Performance mantras**. Don't do it.

Benchmarking 47

Benchmarking Latency Cache Network 47

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. If tuned for performance, there is a good change reliability is compromised - and vice versa. In a nutshell, a data pipeline is a distributed system.

Latency 63

Latency Analytics Scalability Engineering 63

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 CFQ works well for many general use cases but lacks latency guarantees. Spoiler alert: This post focuses on MongoDB 3.6.X tcp_fin_timeout = 30 net.ipv4.tcp_keepalive_intvl

Best Practices 52

Best Practices Design Tuning Database 52

Brendan Gregg

JUNE 29, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. Networks, PCIe busses, CPU interconnects, memory busses, and storage devices (both throughput and IOPS), all have fixed limits. They are: **Performance mantras**. Don't do it.

Benchmarking 40

Benchmarking Latency Cache Network 40

Brendan Gregg

SEPTEMBER 5, 2017

Here's some output from my zfsdist tool, in bcc/BPF, which measures ZFS latency as a histogram on Linux: # zfsdist. Tracing ZFS operation latency. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). Hit Ctrl-C to end. ^C

Virtualization 75

Virtualization AWS Engineering Hardware 75

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . maximum transition latency: Cannot determine or is not supported. . innodb_file_per_table.

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

NOVEMBER 5, 2018

Additionally for the log disk component it is latency for an individual write that is crucial rather than the total I/O bandwidth. A good example of how tuning is an iterative process. For MySQL the dependency is at the storage engine level and in this case for the InnoDB storage engine the parameter is self-explanatory.

Benchmarking 40

Benchmarking Database C++ Virtualization 40