The Netflix TechBlog

JANUARY 25, 2023

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. All data should be also available for offline analytics in Hive/Iceberg. A data model in Marken can be described using schema — just like how we create schemas for database tables etc.

Scalability 283

Scalability Latency Media Architecture 283

The Morning Paper

MARCH 3, 2020

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. NSDI’20. This paper is a real joy to read. Requirements.

Database 106

Database AWS Network Design 106

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MARCH 7, 2023

We designed a unique concept called Annotation Operations which allows teams to create data pipelines and easily write annotations without worrying about access patterns of their data from different applications. There are many naive solutions possible for this problem for example: Write different runs in different databases.

Media 264

Media Latency Architecture Database 264

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. There is an issue with this, which causes the OS to swap even with memory available.

Best Practices 52

Best Practices Design Tuning Database 52

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. What is a stored procedure?

Benchmarking 62

Benchmarking Database Network C++ 62

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Droplets. minutes of downtime in one year.

Azure 187

Azure AWS Latency Database 187

Percona

APRIL 13, 2023

PostgreSQL is a popular open source relational database management system that is widely used for storing and managing data. Replication lag is the delay between the time when data is written to the primary database and the time when it is replicated to the standby databases. What is replication lag?

Latency 79

Latency Tuning Open Source Network 79

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Read/Write latency. Data Placement. System Coordination. Consistency.

Database 213

Database Latency C++ Scalability 213

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. HyperScale Database. Hyperscale databases are provisioned using vCores. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).

Media 237

Media Traffic Processing Design 237

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. This freshness measurement can then be used by out-of-the-box Dynatrace anomaly detection to actively alert on abnormal changes within the data ingest latency to ensure the expected freshness of all the data records.

DevOps 197

DevOps Analytics Airlines Metrics 197

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Snappy compression is designed to be fast and efficient regarding memory usage, making it a good fit for MongoDB workloads. At the time of insert ops, no other queries or DML ops were running in the database.

Storage 105

Storage Network Open Source Latency 105

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. The workflow is initiated. 4c & 5.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. A new record entering a database table. Tasks like API requests, database calls, and file system management are perfect candidates for this service.

Lambda 183

Lambda AWS Serverless Hardware 183

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 93

AWS Benchmarking Performance Traffic 93

O'Reilly Software

JUNE 12, 2018

Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. This meant a lot of time was spent on things like cycle time analysis, build pipeline design, test automation, and infrastructure automation. How do you do that effectively?

Database 72

Database Cache Architecture Latency 72

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” Build a Spring @Configuration class that autowires the KafkaProperties bean injected by the Netflix Spring runtime and, using the Kafka settings available from that bean, construct an Alpakka-Kafka ConsumerSettings bean.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. The popularity of MongoDB MongoDB has emerged as a popular database platform. 5 among all database management systems and No. It ranks No.

Open Source 74

Open Source Database Scalability Software 74

Percona

MAY 2, 2023

At the same time that I see database engineers relying on the tool, sites such as StackOverflow are banning ChatGPT. Since your dataset is 100 GB and you have 500 GB of RAM, you can allocate a significant portion of the available memory to the InnoDB buffer pool. I adjusted my datadir in my.cnf file, but my database is not starting.

Social Media 119

Social Media Database Servers Cache 119

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

FEBRUARY 18, 2022

Scaling Policies To address the thundering herd problem and to keep latencies under acceptable thresholds, the cluster scale-up policies are configured to be more aggressive than the scale-down policies. This approach enables the computing power to catch up quickly when the queues grow.

Systems 334

Systems Traffic Architecture Mobile 334

Scalegrid

MARCH 14, 2024

Key elements, including: Cloud Backup and Disaster Recovery Hybrid Cloud Security Interoperability Compliance Must be considered carefully to facilitate smooth workload movement between environments while reducing latency. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 197

Database Traffic Transportation Open Source 197

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Improved performance and availability. The third big advantage of cloud migration is performance and availability.

Cloud 169

Cloud Traffic Best Practices Strategy 169

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. Our system doesn’t require strict consistency guarantees and does not use database transactions.

Traffic 279

Traffic Metrics Systems Strategy 279

Percona

MARCH 20, 2023

When designing an architecture, many components need to be considered before deciding on the best solution. In short, each cluster is, in reality, a single database with high availability and other functionalities built in. Let us take a look also the latency: Here the situation starts to be a little bit more complicated.

Games 118

Games Latency Traffic Cache 118

Percona

JULY 20, 2023

It is very common to see many infrastructure layers standing between a PostgreSQL database and the Application server. At Percona Support, we use pg_gather as the method to collect and study the wait events because it is a standalone SQL script and doesn’t need to install anything on the database systems. pgbench -h 10.197.42.1

Network 61

Network Performance Latency Servers 61

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. How Bulldozer leverages Spark, Protobuf and KV DAL for moving the data.

Latency 243

Latency Storage Big Data Tuning 243

The Morning Paper

SEPTEMBER 1, 2019

IPA: invariant-preserving applications for weakly consistent replicated databases Balegas et al., For bonus points, revisit your application design so that more parts of it can be coordination free. VLDB’19. IPA for developers, happy days! An example makes all this much clearer. That’s a pretty neat idea!

Database 42

Database Latency Games Design 42