n0derunner

SEPTEMBER 15, 2023

Background For the past few months engineers from Nutanix have been participating in the MLPerftm Storage benchmark which is designed to measure the storage performance required for ML training workloads. appeared first on n0derunner.

Benchmarking 59

Benchmarking Storage Servers Engineering 59

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. What problem are we solving? Assemble and decrypt parts? —?Our

Media 214

Media Storage Processing Cache 214

Dynatrace

JUNE 10, 2024

Security analytics solutions are designed to handle modern applications that rely on dynamic code and microservices. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. Observability starts with the collection, storage, and accessibility of multiple sources.

Analytics 220

Analytics Network Hardware Open Source 220

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. What’s the difference between Fluent Bit and Fluentd?

Best Practices 231

Best Practices IoT Metrics Storage 231

Scalegrid

MAY 13, 2020

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Why haven’t cash-strapped American schools embraced open source? Hacker News). Thoughts, Insights and Further Pointers.

Java 244

Java Best Practices Google Analytics 244

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 269

Serverless AWS Lambda Storage 269

Dynatrace

OCTOBER 4, 2022

A data lakehouse addresses these limitations and introduces an entirely new architectural design. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Grail is built for such analytics, not storage.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

High Scalability

NOVEMBER 2, 2020

This is guest a post by Preetam Jinka , Senior Infrastructure Engineer at ShiftLeft. NG SAST was initially designed only for vulnerabilities. We rewrote almost all of the storage used for storing code analysis results while maintaining backwards compatibility and without any outages. Originally published here.

Storage 231

Storage Design Infrastructure Engineering 231

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. The graphic below (Fig. 1) depicts the migration of traffic from fixed bitrates to DO encodes. Krasula, A. Choudhury, S. Malfait, A.

Open Source 252

Open Source Software Engineering Internet Internet 252

All Things Distributed

MAY 19, 2017

We decided to use our inventive powers to design and build a new database engine that would give database systems such as MySQL and PostgreSQL reliability and performance at scale, at a level that could serve even the most demanding OLTP applications.

Database 117

Database Design Cloud Storage 117

Alex Russell

AUGUST 30, 2021

The decision to ban competing browser engines is as old as iOS, but Apple has only attempted to explain itself in recent years. Does Apple restrict, in any way, the ability of competing web browsers to deploy their own web browsing engines when running on Apple's operating system? Apple's Arguments #. If no, please explain why not.

Engineering 98

Engineering Open Source Website Operating System 98

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. The top Kubernetes challenges and potential solutions Despite its benefits, Kubernetes has some potential pitfalls that engineering leaders should consider when managing the complexity it introduces.

Open Source 181

Open Source Storage Analytics Innovation 181

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. Now let’s look at how we designed the tracing infrastructure that powers Edgar.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

MARCH 14, 2023

User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Dawn Chenette , Design Lead This approach had several benefits for product engineering.

Media 291

Media Innovation Energy Architecture 291

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. Memcached’s primary strength lies in its simplicity.

Cache 130

Cache Storage Scalability Architecture 130

Percona

APRIL 17, 2023

Since MongoDB usually works with a replica set, it is possible to increase this parameter to get better performance: # edit /etc/mongod.conf storage: journal: enabled: true commitIntervalMs: 300 WiredTiger cache For dedicated servers, it is possible to increase the WiredTiger(WT) cache. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

The Netflix TechBlog

FEBRUARY 13, 2023

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns. Figure 2 - a series of frame match cuts from Wednesday.

Media 290

Media Storage Infrastructure Systems 290

Dynatrace

OCTOBER 4, 2022

Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. It should be open by design to accelerate innovation, enable powerful integration with other tools, and purposefully unify data and analytics.

Analytics 180

Analytics Software Software Storage 180

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. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 105

Storage Network Open Source Latency 105

Percona

JANUARY 30, 2023

Instead, it seems PostgreSQL Developers are of the opinion that encryption is a storage-level problem and is better solved on the filesystem or block device level. It does not require encryption capabilities on the storage level to provide data security. But first, where does the need for encryption really come from?

Database 124

Database Storage Government Open Source 124

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency 147

Efficiency Storage Database Scalability 147

DZone

JANUARY 23, 2022

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. . – this is addressed through monitoring and redundancy. Redundancy by building additional data centers.

Hardware 243

Hardware DevOps Network Storage 243

The Netflix TechBlog

FEBRUARY 9, 2022

The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. Let’s define some requirements that we are interested in delivering to the Netflix data engineers or anyone who would like to schedule a workflow with some external assets in it. workflow ?—?see

Storage 201

Storage Data Engineering Testing Code 201

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. A recurring theme was Site Reliability Engineering. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. Dynatrace news.

AWS 201

AWS Strategy Storage Metrics 201

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. The motivation has not changed since then; the design has. Design evolution Axion fact store has four components?—?fact

Storage 187

Storage Design Scalability Latency 187

High Scalability

SEPTEMBER 8, 2018

They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above. Each storage server collects statistics about the requests it serves, the data it stores, etc. Related Articles.

Storage 199

Storage Performance AWS Efficiency 199

The Netflix TechBlog

MAY 5, 2021

Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities. Finally, once the encoded copy is prepared, this copy can be persisted by Netflix Drive to a persistent storage tier in the cloud.

Media 174

Media Storage Architecture Cloud 174

Scalegrid

MARCH 8, 2024

Use the ‘–log-bin’ option to designate a base name for the binary log files. Following creation, best practices dictate carefully transferring the secure backup file and its associated binary log SQL files to your designated recovery host. To enable this feature, you must: Turn the ‘log_bin’ variable to ‘ON’.

Database 162

Database Strategy Servers Best Practices 162

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage 122

Storage Cloud AWS Media 122

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The data warehouse is not designed to serve point requests from microservices with low latency.

Latency 243

Latency Storage Big Data Tuning 243

Percona

FEBRUARY 24, 2023

Use reduction at scale requires a cultural shift, and engineers must consider the cost as they think of memory or bandwidth as another deployment KPI. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. To learn more about platform engineering, explore the following resources.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. A recurring theme was Site Reliability Engineering. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. Dynatrace news.

AWS 147

AWS Strategy Storage Metrics 147

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 94

AWS Benchmarking Performance Traffic 94

Scalegrid

JANUARY 12, 2024

These vendors serve data center players and offer advanced options, such as ScaleGrid’s engine, which ensures that different elements work well together automatically, eliminating the need for manual effort in managing heterogeneous environments. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130