The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

VoltDB

MAY 30, 2024

Finding the right data platform BEFORE you get mired in an emergency iis key. But choosing the best possible data platform to embed in your solution isn’t easy. Here are the questions we think OEMs should ask when selecting a data platform for their applications. No tech investment can save them. Consider the cloud.

Latency 52

Latency Cloud Database Tuning 52

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

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. What is Microsoft Hyper-V?

Efficiency 203

Efficiency Virtualization Hardware Performance 203

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

DECEMBER 14, 2023

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage.

Java 130

Java Network Servers Database 130

HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. However, there can be a lack of understanding of the benefits that stored procedures bring or if you have a benchmarking tool or database that doesn’t support stored procedures, then you have nothing to compare against.

Benchmarking 62

Benchmarking Database Network C++ 62

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.

Database 106

Database AWS Network Design 106

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Data Placement. Data Consistency. System Coordination.

Database 213

Database Latency C++ Scalability 213

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

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

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

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Performance 127

Performance Cache Servers Social Media 127

Dynatrace

MAY 19, 2022

Due to the massive amount of data, no one knew what action to take if a number went red. In their new dashboard, they added dimensions for load, latency, and open problems for each component. The “Four Golden Signals” include the following: Latency. This represents the total number of requests across the network.

Automotive 260

Automotive Latency Architecture Azure 260

VoltDB

MARCH 21, 2024

The law of entropy clearly applies as much to tech stacks and data management as it does to closets and desk drawers. The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data.

Cache 52

Cache Database Storage Availability 52

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. In this blog, we will discuss both data and network-level compression offered in MongoDB.

Storage 105

Storage Network Open Source Latency 105

Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.

AWS 183

AWS Latency Performance Benchmarking 183

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. What is workload in cloud computing? This trend features running multiple distinct variants simultaneously, each relying on services delivered by various vendors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. 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. Spoiler alert: This post focuses on MongoDB 3.6.X

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

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

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!).

Latency 269

Latency Ecommerce Servers Mobile 269

Percona

MAY 2, 2023

In today’s data-driven world, losing critical data can be catastrophic for any organization. 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. Why are MongoDB database backups important? Why are MongoDB database backups important?

Best Practices 52

Best Practices Database Storage Servers 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

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. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. A new record entering a database table.

Lambda 173

Lambda AWS Serverless Hardware 173

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. have adopted Kubernetes.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This covers everything from tech specs and what you expect from the service to security, how you’ll handle data, and how services will be managed. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Azure Virtual Network Gateways. Azure Batch.

Azure 144

Azure Cloud Big Data Virtualization 144

The Netflix TechBlog

AUGUST 30, 2021

When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN. These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates.

Latency 213

Latency Traffic Transportation Cloud 213

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Traces collected from various microservices are ingested in a stream processing manner into the data store.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Grafana database backend: Prometheus version 2.15.2+d The collected data is aggregated and presented in a single view.

Benchmarking 120

Benchmarking Metrics C++ Database 120

IO River

NOVEMBER 2, 2023

This is where Content Delivery Networks (CDNs) come into play. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. It requires expertise in server-side scripting languages, database management, and integration with content management systems or APIs. What is Dynamic Content?Dynamic

Cache 52

Cache Social Media Website Performance Website 52

VoltDB

JUNE 19, 2017

Unfortunately, this means that the age-old Telco bugbears will rear their ugly heads again, including latency. 5G, as a fundamental requirement, mandates a 1 millisecond latency from the datasource to its destination. This requires 1 ms network latency. These have to communicate with each other.

Latency 40

Latency Retail Virtualization Hardware 40

VoltDB

JUNE 19, 2017

Unfortunately, this means that the age-old Telco bugbears will rear their ugly heads again, including latency. 5G, as a fundamental requirement, mandates a 1 millisecond latency from the datasource to its destination. This requires 1 ms network latency. These have to communicate with each other.

Latency 40

Latency Retail Virtualization Hardware 40

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75