The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

AUGUST 1, 2022

Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. What about my persistent volume provider?

Storage 193

Storage Database Network Metrics 193

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 87

Storage Scalability Strategy Performance 87

Dynatrace

JANUARY 31, 2024

Designed to reach beyond petabyte (PB) scale, OpenPipeline will—at its launch— quintuple the ingest throughput from 100 TB a day per tenant to 500 TB a day per tenant. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Commitment to privacy.

Analytics 198

Analytics Processing Transportation Storage 198

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 231

Monitoring Artificial Intelligence Performance Analytics 231

Dynatrace

OCTOBER 4, 2022

A data lakehouse addresses these limitations and introduces an entirely new architectural design. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Grail is built for such analytics, not storage.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 290

Media Storage Infrastructure Systems 290

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. But it doesn’t stop there.

Analytics 196

Analytics Software Software Storage 196

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. With performance optimization at its core along with mitigating risks associated with relying solely on one cloud provider or taking advantage of cost efficiencies. What is Hybrid Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

Scalegrid

MARCH 8, 2024

They should ensure alignment with operational requirements while choosing the most appropriate log format configuration to efficiently manage server activities directly or indirectly related to potential data transformations on databases under stewardship. Use the ‘–log-bin’ option to designate a base name for the binary log files.

Database 162

Database Strategy Servers Best Practices 162

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. An example of data about members is the video they had watched or added to their My List.

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets.

Open Source 252

Open Source Software Engineering Internet Internet 252

The Netflix TechBlog

OCTOBER 27, 2020

For example, in order to enhance our user experience, one online application fetches subscribers’ preferences data to recommend movies and TV shows. The data warehouse is not designed to serve point requests from microservices with low latency. Let’s look at an example of a Bulldozer YAML configuration (Figure 3).

Latency 243

Latency Storage Big Data Tuning 243

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 105

Storage Network Open Source Latency 105

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. OTel is designed to ensure flexibility and stability. We second that.

AWS 218

AWS Strategy Storage Metrics 218

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. This separation aims to streamline transaction write logging, improving efficiency and consistency. Who can benefit from DLV? and later v10 versions MySQL: 8.0.28

AWS 94

AWS Benchmarking Performance Traffic 94

Scalegrid

JULY 17, 2020

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. For example, Stripe transactions. JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data.

Storage 321

Storage Database Efficiency Processing 321

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. It is possible to remount on the fly; For example, in order to remount /mnt/db/ with these options: mount -oremount,rw,noatime/mnt/db It is necessary to add/edit the corresponding line in /etc/fstab for the option to persist on reboots.

Best Practices 52

Best Practices Design Tuning Database 52

Scalegrid

DECEMBER 28, 2023

How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. Pagination is an important factor to consider in MongoDB as it allows for the efficient organization of big datasets. The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Dynatrace

SEPTEMBER 8, 2023

To achieve this, we’ll create a Grail bucket specifically designed to retain data for a duration of 10 years (3,657 days). In the above recording, we demonstrate an alert specifically designed to notify when there is a significant increase in pending transactions.

Database 274

Database Artificial Intelligence Metrics Monitoring 274

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. These essential data points heavily influence both stability and efficiency within the system. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. Data encryption should be applied along with robust access controls and efficient encryption key management procedures.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 212

Open Source Social Media Infrastructure Operating System 212

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. The efficiency achieved in processing and storage layers brought us big savings on computing and storage costs.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. OTel is designed to ensure flexibility and stability. We second that.

AWS 147

AWS Strategy Storage Metrics 147

Percona

AUGUST 9, 2023

MySQL 8 brought a significant architectural transformation by replacing the traditional MyISAM-based system tables with the Transaction Data Dictionary (TDD), a more efficient and reliable approach. This information is stored in transactional storage, ensuring atomicity for schema changes.

Database 76

Database Storage Scalability Games 76

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Strategic Tech

MAY 24, 2019

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables.

Design 45

Design Software Architecture Strategy Technology 45

Percona

FEBRUARY 24, 2023

Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 116

Cloud Serverless AWS Storage 116

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., For example, a contract that sends a reward amount of tokens to a user based on that user’s average balance per day over some period. For example, suppose the read set is and the write set is. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 215

AWS Best Practices Analytics Cloud 215