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. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Brendan Gregg

DECEMBER 31, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Storage I/O. We help where we can. File System. Networking.

Tuning 61

Tuning AWS Best Practices Network 61

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Storage I/O. We help where we can. File System. Networking.

Tuning 52

Tuning AWS Best Practices Network 52

Percona

APRIL 14, 2023

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Consolidate workloads: In the past, you might have wanted to split out additional replicas or cluster nodes to process specific types of workloads, such as those related to reporting.

Database 81

Database Serverless Tuning Cloud 81

Dynatrace

SEPTEMBER 28, 2020

Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Getting the problem status of all environments has to be efficient. js framework.

Storage 198

Storage Architecture Tuning Efficiency 198

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 176

Analytics Innovation Metrics Database 176

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 90

Open Source Database Hardware Strategy 90

Percona

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns.

Cloud 77

Cloud Open Source Strategy Best Practices 77

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

Scalegrid

JANUARY 8, 2019

Simply put, in a MySQL semisynchronous replication configuration, the master commits transactions to the storage engine only after receiving acknowledgement from at least one of the slaves. This will delay the failover process as our framework expects the slave to be fully up-to-date before it can be promoted. Stay tuned!!

Availability 113

Availability Tuning Speed Network 113

Percona

AUGUST 27, 2018

Dangerous , because if you set this to a thread when using connection pooling OR ProxySQL and multiplexing, you may end up assigning a limitation to queries that instead, you wanted to run efficiently. Good examples are: ETL processes for data archiving, reporting, data consolidation and so on. Another cool useless feature???

Tuning 44

Tuning Virtualization Testing Servers 44

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 192

Monitoring Social Media IoT Metrics 192

Tech News Gather

JUNE 16, 2023

With our comprehensive and actionable articles, you’ll gain the knowledge and insights needed to navigate each stage of the development process with confidence. By leveraging the power of mobile technology, UberEats provides a seamless and efficient way for users to order their favorite meals from a wide range of eateries.

Social Media 52

Social Media Tuning Strategy Media 52

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. Stay tuned for more tips from our coach Jean Louis Lormeau. Ability to add the metric in one of your dashboards.

Metrics 159

Metrics Tuning Programming Systems 159

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times. ibd -rw-r --. ibd -rw-r --.

Open Source 85

Open Source Storage Database Big Data 85

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

AUGUST 17, 2023

PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting.

Open Source 77

Open Source Healthcare Social Media Database 77

Percona

JULY 2, 2023

Having a backup strategy in place that takes regular backups and has secure storage is essential to protect the database in an enterprise-grade environment to ensure its availability in the event of failures or disasters. WALs in PostgreSQL are similar to transaction log files in the InnoDB storage engine for MySQL.

Strategy 52

Strategy Database Storage Open Source 52

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries.

Strategy 40

Strategy Storage Database Best Practices 40

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. The Sort only has 19 rows to process, so it consumes only 1ms or so. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). Test Environment. All the operators in this plan use row mode execution.

Servers 86

Servers Tuning Database Efficiency 86

Particular Software

APRIL 9, 2018

Every software system is dependent on a few types of infrastructure (CPU, memory, storage, network), so it's no surprise that there are lots of off-the-shelf tools that provide this capability. To understand if our theme park is running efficiently or not, we'll need monitoring tools that understand how theme parks really work.

Systems 40

Systems Infrastructure Monitoring Tuning 40

Official Blog - World Web Technology

MAY 12, 2023

Stay tuned. The front-end of the website is what you see and interact on the display on the screen and the backend is the logical part of the app that has components such as storage, coding, content management, etc. It gives you freedom from traditional web application development process. What is Headless CMS?

Website 52

Website Development Scalability Architecture 52

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Optimize on prem cold storage cost. Video Transcoding.

Architecture 52

Architecture Cache Azure Storage 52

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. Processed 4.15

Database 40

Database Analytics Blockchain Healthcare 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Brendan Gregg

SEPTEMBER 5, 2017

There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks.

Virtualization 76

Virtualization AWS Engineering Hardware 76

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 102

Hardware Storage Big Data Blockchain 102

SQL Server According to Bob

JANUARY 11, 2020

DBCC Page Auditing DBCC page auditing is the process of executing common DBCC consistency checks as pages are read from disk. Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

NOVEMBER 2, 2021

This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. Here is a step-by-step description of the processes involved: 1. Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient.

Media 171

Media Innovation Metrics Latency 171

All Things Distributed

NOVEMBER 28, 2012

Also, because similar data are stored sequentially, Amazon Redshift can compress data efficiently, which further reduces the amount of IO it needs to perform to return results. Redshift has a massively parallel processing (MPP) architecture, which enables it to distribute and parallelize queries across multiple low cost nodes.

Cloud 164

Cloud Storage Architecture Scalability 164