The Netflix TechBlog

FEBRUARY 13, 2023

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

Media 290

Media Storage Infrastructure Systems 290

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. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237

Cloud Media Storage Cache 237

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. The graphic below (Fig. 1) depicts the migration of traffic from fixed bitrates to DO encodes.

Open Source 252

Open Source Software Engineering Internet Internet 252

Scalegrid

JULY 17, 2020

JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. JSONB storage does not deduplicate the key names in the JSON. If that doesn’t work, the data is moved to out-of-line storage.

Storage 321

Storage Database Efficiency Processing 321

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. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 94

AWS Benchmarking Performance Traffic 94

The Netflix TechBlog

JUNE 13, 2023

We can start by dialing traffic in a single data center to allow for an easier side-by-side comparison of key metrics across data centers, thereby making it easier to observe any deviations in the metrics. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 279

Traffic Metrics Systems Strategy 279

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

NOVEMBER 4, 2022

When issues arise, teams can’t depend on these tools for quick resolutions, because data comparisons are difficult and contribute to delays. Overall, 53% of IT leaders say t he number of tools needed to monitor the end-to-end technology stack makes it difficult to operate efficiently.

Government 147

Government Analytics Cloud Storage 147

Percona

DECEMBER 28, 2023

Its functionality has been significantly improved in comparison to Audit Log and currently mirrors the functionality of the MySQL Enterprise Audit plugin. Compress the audit log files to reduce the storage space occupied with log files. We’re happy to introduce Audit Log Filter — our newly upgraded audit plugin.

Open Source 101

Open Source Database Servers Storage 101

The Netflix TechBlog

AUGUST 28, 2020

Bitrate versus quality comparison For a sample of titles from the 4K collection, the following plots show the rate-quality comparison of the fixed-bitrate ladder and the optimized ladder. The optimized ladder entails a smaller storage footprint compared to the fixed-bitrate ladder.

Network 330

Network Storage Innovation Mobile 330

Percona

SEPTEMBER 1, 2023

Character encoding refers to the method used to represent characters as binary data for storage and transmission. How Character Sets Affect Data Storage and Retrieval You can specify the character set for each column when you create a table, indicating the set of characters allowed in that column.

Performance 52

Performance Storage Social Media Database 52

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Here are the configurations for this comparison: Plan. EC2 instances. VM instances. DigitalOcean.

Azure 344

Azure AWS Database Latency 344

Scalegrid

JULY 8, 2019

You’ll learn more about the best instance types and disks to use below, and you can check out this MySQL Provider Comparison to see the advantages and limitations of the top four managed MySQL solutions, ScaleGrid, Compose, Azure Database, and Amazon RDS. High Availability Deployment.

Azure 219

Azure Cloud Virtualization Database 219

Dynatrace

JANUARY 16, 2023

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Kubernetes infrastructure models differ between cloud and on-premises.

Open Source 347

Open Source Java Operating System Programming 347

Scalegrid

JANUARY 8, 2024

What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? Technology Enabling Multi-Cloud and Hybrid Cloud The functioning of various hybrid cloud deployment models is supported by a range of technologies. This provides the ability to easily adjust and meet evolving business requirements. <p>The

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 184

Metrics Analytics Software Architecture Open Source 184

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

MAY 9, 2019

Consequently, each new version of OneAgent for Windows consumed double storage space: one for the *.exe This storage space was consumed not only on our own infrastructure but also on each of the Dynatrace cluster nodes in the case of Managed deployments. ” Briefly, before the change, the *.exe msi artifacts were built separately.

Storage 116

Storage Tuning Traffic Architecture 116

Percona

JUNE 30, 2023

Below you will find a short FAQ about the new operator and a comparison to version 1.x. Percona’s commitment to open source ensures that the Percona Operator for PostgreSQL version 2 remains a flexible and customizable solution that can be tailored to meet the unique needs of any organization. In version 1.x,

Availability 91

Availability Open Source Azure Hardware 91

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period. If we talk about overall disk usage for the instance monitoring 1,000 Database services, the average disk usage per datapoint comes out to be roughly.25

Monitoring 96

Monitoring Scalability Cache Database 96

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. . “Every year, poor data quality costs organizations an average $12.9

DevOps 198

DevOps Analytics Airlines Metrics 198

Percona

JULY 13, 2023

Here is an example comparison of utf8 and utf8mb4 using MySQL tables and queries: MySQL 5.7 Table: To ensure proper storage of emojis, let’s create the table columns using the utf8mb4 character set. This makes it a good choice for storing complex text data, text searches, and comparisons.

Database 90

Database Games Open Source Engineering 90

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 73

Open Source Database Storage Scalability 73

CSS - Tricks

DECEMBER 23, 2020

Here’s the simplest configuration that will run and collect Lighthouse reports for a static website project, and upload them to temporary public storage. // lighthouserc.js public', }, upload: { target: 'temporary-public-storage', }, }, }; The ci.collect object offers several options to control how the Lighthouse CI collects test reports.

Performance 78

Performance Storage Servers Virtualization 78

The Netflix TechBlog

FEBRUARY 13, 2020

The Alliance for Open Media (AOM) has recently extended this format to specify the storage of AV1-encoded images in its AVIF format. Image compression comparison framework We have open sourced a Docker based framework for comparing various image codecs.

Code 212

Code Metrics Efficiency Open Source 212

Percona

JANUARY 3, 2023

Name comparisons are case-sensitive. Table names are stored in lowercase on disk and name comparisons are not case-sensitive. MySQL converts all table names to lowercase on storage and lookup. Name comparisons are not case-sensitive. Lower_case_table_names values and their behavior: 0.

Database 72

Database Servers Storage Systems 72

The Morning Paper

AUGUST 29, 2019

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Another interesting experiment here compared the effects on performance of different storage types. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Scalegrid

JULY 13, 2020

Comparison Overview. pg_repack – reorganizes tables online to reclaim storage. The extreme complexity also increases the risk of error which can lead to critical mistakes that cost more time and money to resolve, which is why it is a common best practice in Oracle to limit changes to only a couple times each year. PostgreSQL.

Open Source 244

Open Source Tuning C++ Database 244

Brendan Gregg

NOVEMBER 4, 2020

Right now there are many BPF (eBPF) startups building networking, security, and performance products (and more in stealth), yet requiring customers to install LLVM, Clang, and kernel headers – which can consume over 100 Mbytes of storage – to use BPF is an adoption drag. It adds about 1.5 Ubuntu 20.10

C++ 145

C++ Programming Storage Code 145

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 97

Hardware Storage Big Data Blockchain 97

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. Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline.

Media 171

Media Innovation Metrics Latency 171

Percona

JULY 3, 2023

Also, please find below the related blogs for reference: PostgreSQL Sharding: An Overview and MongoDB Comparison Performing ETL Using Inheritance in PostgreSQL Percona Distribution for PostgreSQL provides the best and most critical enterprise components from the open-source community in a single distribution, designed and tested to work together.

Storage 80

Storage Database Performance Open Source 80

Dynatrace

JUNE 8, 2021

Since we’re ambitious, we’re going to lower the threshold to 1 second, in comparison to our initial limit of 3 seconds: By following these steps we were able to convert a multi-dimension analysis view to a calculated metric stored in multi-dimensional metrics storage, which provides us with 400 days of history and several other advantages: (..)

Metrics 170

Metrics Tuning Programming Systems 170

Percona

DECEMBER 27, 2022

Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Cluster-level encryption is a security measure that encrypts data stored in a cluster of servers or storage devices. .

Database 93

Database Storage Servers Strategy 93

Percona

JANUARY 19, 2023

It can help us to save costs on storage and backup times. sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

Open Source 85

Open Source Storage Database Big Data 85

ACM Sigarch

OCTOBER 4, 2018

On the other hand, one can implement this system with encryption/decryption units between the compute and the storage. This allows the same database to be implemented while removing storage and connections from the trust boundary. These two techniques serve complementary purposes: Probabilistic encryption hides data stored at rest.

Systems 47

Systems Hardware Storage Healthcare 47