High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

DZone

NOVEMBER 25, 2023

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. The New Decision Matrix: Beyond Performance Metrics Performance metrics are pivotal, no doubt. Yet, they are often evaluated in isolation, removed from the business context.

Database 278

Database Latency Speed Metrics 278

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. What is mobile app performance? Issue remediation.

Best Practices 211

Best Practices Mobile Metrics Performance 211

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 227

Efficiency Virtualization Hardware Performance 227

Dynatrace

OCTOBER 3, 2024

Dynatrace OTel Collector Understand your applications with ease Due to a lack of contextual insights and actionable intelligence, application teams often find themselves overwhelmed by data, unable to quickly identify the root causes of performance issues. There is no need to think about schema and indexes, re-hydration, or hot/cold storage.

Performance 259

Performance Architecture Innovation Latency 259

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 253

Latency Cache Infrastructure Strategy 253

High Scalability

SEPTEMBER 8, 2018

You get all the multicore Anna performance you want, but you don’t pay for what you don’t need. Just to throw out some numbers, we measured Anna providing 355x the performance of DynamoDB for the dollar. Each storage server collects statistics about the requests it serves, the data it stores, etc.

Storage 199

Storage Performance AWS Efficiency 199

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. This allowed for sequential access and indexed access, but random writes could cause performance issues.

Storage 130

Storage Engineering Cache Database 130

The Netflix TechBlog

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. 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

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 15, 2020

This extends Dynatrace visibility into Citrix user experience and Citrix platform performance. Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Citrix VDA.

Latency 37

Latency Performance Virtualization Infrastructure 37

DZone

JUNE 15, 2023

In the realm of production applications, it is customary to address performance bottlenecks such as CPU and memory issues in order to identify and resolve their underlying causes. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. These include Quality-of-Experience(QoE) measurements at the customer device level, Service-Level-Agreements (SLAs), and business-level Key-Performance-Indicators(KPIs).

Traffic 349

Traffic Latency Tuning Systems 349

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. The data warehouse is not designed to serve point requests from microservices with low latency. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 254

Latency Storage Big Data Tuning 254

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

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. AI performs frequent data transfers.

Strategy 234

Strategy Artificial Intelligence Storage Cloud 234

The Netflix TechBlog

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Storage 300

Storage Cache Metrics Database 300

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. – A Dynatrace customer, Head of Performance Engineering. 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 256

Availability Hardware Latency Traffic 256

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Query language.

Artificial Intelligence 221

Artificial Intelligence Storage Analytics Government 221

The Netflix TechBlog

SEPTEMBER 10, 2024

Finally, the device receives the message, and the action, such as “Show me Stranger Things on Netflix”, is performed. Dynomite had great performance, but it required manual scaling as the system grew. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs.

Latency 233

Latency Cache Tuning Efficiency 233

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient.

Virtualization 206

Virtualization Storage Metrics Monitoring 206

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " High performance. SoCC’19. "Narrowing Introducing Shredder.

Serverless 99

Serverless Storage Latency Cloud 99

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 121

Performance Latency Hardware Storage 121

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. Active data includes jobs and tasks that are currently running.

Cache 235

Cache Latency Traffic Systems 235

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 130

Performance Hardware Tuning Storage 130

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 153

Storage Latency Operating System Network 153

Dynatrace

AUGUST 21, 2024

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 203

Engineering Systems Latency Metrics 203

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB is a fully managed NoSQL database service that provides fast performance at any scale. Amazon DynamoDB offers low, predictable latencies at any scale. It is very gratifying to see all of our learning and experience become available to our customers in the form of an easy-to-use managed service. The growth of Amazonâ??s

Scalability 164

Scalability Database Ecommerce Latency 164

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 259

AWS Efficiency Azure Cloud 259

The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. SIGCOMM’20.

Energy 130

Energy Latency Performance Network 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. A Note on Data Locality.

Best Practices 138

Best Practices Latency Storage Tuning 138

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 287

Traffic Metrics Systems Strategy 287

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 122

Database Logistics Availability Social Media 122

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? By logging all titles as they are displayed, we can process these logs to identify anomalies and gain insights into system performance.

Traffic 174

Traffic Scalability Strategy Monitoring 174

The Netflix TechBlog

APRIL 26, 2022

The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. Then we started hitting roadblocks while optimizing the query performance. Eventually, we decided to simplify the logger. However, Spark query execution remained slow.

Storage 197

Storage Design Scalability Latency 197

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.

Latency 130

Latency AWS Storage Tuning 130