The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. What is Bulldozer Bulldozer is a self-serve data platform that moves data efficiently from data warehouse tables to key-value stores in batches. Figure 1 shows how we use Bulldozer to move data at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

NOVEMBER 15, 2021

This includes troubleshooting issues with software, services, and applications, and any infrastructure they interact with, such as multicloud platforms, container environments, and data repositories. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs. Observability engineering success!

Metrics 183

Metrics Engineering Energy Tuning 183

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 211

Storage Architecture Tuning Efficiency 211

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Metrics on Grail “Metrics are probably the best understood data type in observability ,” says Guido Deinhammer, CPO of infrastructure monitoring at Dynatrace. But logs are just one pillar of the observability triumvirate.

Analytics 191

Analytics Innovation Metrics Database 191

Percona

APRIL 14, 2023

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Consider alternative tools, systems, and services: Many cloud providers offer long-term storage, serverless options, or component options for specific needs, with vastly different pricing models.

Database 78

Database Serverless Tuning Cloud 78

Scalegrid

JUNE 22, 2020

ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price. MySQL Configuration Management & Tuning.

Database 217

Database Benchmarking Latency Performance 217

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. We’ll release additional monitoring support for new services soon, so stay tuned for further updates. Azure Logic Apps. Azure Data Factory v1.

Azure 158

Azure Cloud Tuning Monitoring 158

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns.

Cloud 76

Cloud Open Source Strategy Best Practices 76

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). One of the key advantages of DEM is its versatility.

Monitoring 209

Monitoring Social Media IoT Metrics 209

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

OCTOBER 18, 2023

Look closely at your current infrastructure (hardware, storage, networks, etc.) This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s). Should I be bringing in external experts to help out?

Open Source 88

Open Source Database Hardware Strategy 88

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. Percona makes PostgreSQL work out of the box for enterprise infrastructure, empowering you to innovate freely. Free from vendor lock-in.

Open Source 75

Open Source Healthcare Social Media Database 75

Tech News Gather

JUNE 16, 2023

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. UberEats also excels in providing a reliable and efficient delivery service. Stay tuned for valuable insights on designing a captivating UberEats clone.

Social Media 52

Social Media Tuning Strategy Media 52

The Netflix TechBlog

NOVEMBER 2, 2021

Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. Stay tuned for more details on these algorithmic innovations. VQS currently represents the largest workload fueled by the Cosmos platform. Acknowledgments This work was made possible with the help of many stunning Netflix colleagues.

Media 171

Media Innovation Metrics Latency 171

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

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

Particular Software

APRIL 9, 2018

While you probably wouldn't expect this from a software infrastructure company, we opened a theme park! This infrastructure monitoring helps us understand whether our theme park has the infrastructure it needs to operate. Infrastructure monitoring is also common in the software industry. Welcome to Particular World.

Systems 40

Systems Infrastructure Monitoring Tuning 40

The Morning Paper

JUNE 13, 2019

” If we want an increasing number of applications to use machine learning, we must automate issues that affect ease-of-use, performance, and cost efficiency for users and providers… Despite significant research, this is missing right now. We’d like to pack models as efficiently as possible on the underlying infrastructure.

Hardware 58

Hardware Latency Serverless Energy 58

High Scalability

NOVEMBER 25, 2019

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. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. If tuned for performance, there is a good change reliability is compromised - and vice versa. In a nutshell, a data pipeline is a distributed system.

Latency 63

Latency Analytics Scalability Engineering 63