The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. 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. But what happens when this machinery needs a transformation?

Traffic 279

Traffic Metrics Systems Strategy 279

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications. Redis Database Management with ScaleGrid ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., SLOG is another research system motivated by the needs of the application developer (aka, user!). Building correct applications is much easier when the system provides strict serializability guarantees. VLDB’19.

Latency 70

Latency Processing Benchmarking Systems 70

Highly Scalable

SEPTEMBER 18, 2012

As such, it encompasses distributed system coordination, failover, resource management and many other capabilities. These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. System Coordination. Scalability is one of the main drivers of the NoSQL movement.

Database 213

Database Latency C++ Scalability 213

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

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. Larger cells have better tolerance of tail latency (e.g.

Database 106

Database AWS Network Design 106

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. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 200

DevOps Analytics Airlines Metrics 200

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

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. For example, memory-resident databases without persistent disks, such as Redis cluster setups or Apache Spark installations, rely on stand-alone machines.

Database 130

Database Network Servers Monitoring 130

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be.

Architecture 200

Architecture Database Latency Servers 200

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Monitoring typically provides a limited view of system data focused on individual metrics.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? mongodump --host=mongodb1.example.net

Best Practices 52

Best Practices Database Storage Servers 52

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. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. A new record entering a database table.

Lambda 186

Lambda AWS Serverless Hardware 186

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 97

AWS Benchmarking Performance Traffic 97

Dynatrace

SEPTEMBER 30, 2021

A cloud migration strategy, however, provides technical optimization that’s also firmly rooted in the business value chain. Migrating to the cloud is a strategy many organizations pursue to streamline and consolidate their security efforts. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 172

Cloud Traffic Best Practices Strategy 172

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 87

Best Practices Hardware Tuning Scalability 87

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. But, if you’re considering leveraging a managed databases provider, you have another decision to make – are you able to host in your own cloud account or are you required to host through your managed service provider? Where to host your cloud database?

Cloud 242

Cloud Azure AWS Database 242

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 ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. 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.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. End-to-End Schema Evolution Schema is a key component of Data Mesh.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

NOVEMBER 2, 2021

The coupling problem Until recently, video quality measurements were generated as part of our Reloaded production system. This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. We call this system Cosmos. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

DECEMBER 21, 2020

Use cases We found several use cases where a system like AutoOptimize can bring tons of value. Merge As the data lands into the data warehouse through real-time data ingestion systems, it comes in different sizes. Previously we had our homegrown system called Ursula responsible for data ingestion into the Hive based warehouse.

Storage 203

Storage Latency Efficiency Data Engineering 203

VoltDB

NOVEMBER 10, 2017

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

Database 40

Database Latency Architecture Open Source 40

VoltDB

NOVEMBER 10, 2017

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

Database 40

Database Latency Architecture Open Source 40

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

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

IO River

NOVEMBER 2, 2023

These interactive features boost user participation, promote social sharing, and foster a sense of community.Cons of Dynamic Content:Increased Server Load: Dynamic content requires server-side processing and database queries to generate the content for each user request. How Can You Boost Website Performance?

Cache 52

Cache Social Media Website Performance Website 52

The Morning Paper

SEPTEMBER 10, 2019

Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). And given the growing scale of YouTube, some of those backend systems were starting to creak. Procella system overview. are divided.

Analytics 75

Analytics Latency Cache Google 75

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. in Atlas , Netflix’s in-memory dimensional time series database.

Media 214

Media Storage Processing Cache 214

IO River

NOVEMBER 2, 2023

These interactive features boost user participation, promote social sharing, and foster a sense of community.Cons of Dynamic Content:Increased Server Load: Dynamic content requires server-side processing and database queries to generate the content for each user request.

Cache 52

Cache Social Media Website Performance Website 52

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 128

Internet Internet AWS Performance 128

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. 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. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Particular Software

JUNE 3, 2019

From Udi Dahan's Advanced Distributed Systems Design Course , Day 1 Problem of scale The real problem with bandwidth is not one of absolute speed but one of scale. Disks, including those used by our databases, have bandwidth limitations as well. Today, we have DSL and cable modems; tomorrow, fiber may be widespread.

Latency 40

Latency Speed Network Strategy 40

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Only teams that master their systems can make intentional trade-offs.

Performance 86

Performance Latency Metrics Engineering 86