Dynatrace

JUNE 26, 2020

Virginia (AWS) ?, California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Sydney (AWS) ? Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS). Storage and management of credentials via the Synthetic Monitoring credential vault.

Monitoring 254

Monitoring Azure AWS Traffic 254

The Netflix TechBlog

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank! —?which is difficult when troubleshooting distributed systems.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. New features and enhancements.

Azure 212

Azure Metrics AWS Monitoring 212

Scalegrid

JULY 29, 2019

In this blog post, we’ll show you how to create your MySQL deployment at ScaleGrid while setting up your new WordPress site, and how to migrate to a ScaleGrid MySQL deployment for your existing WordPress deployment. Managing a database is hard, as it needs continuous updating, tuning, and monitoring to ensure the performance of your website.

Database 166

Database Cloud Website Azure 166

HammerDB

APRIL 19, 2023

In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

The Netflix TechBlog

OCTOBER 15, 2019

Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. High availability, via standby instances across AWS Availability Zones. We currently support MySQL and Postgres, including when deployed in AWS RDS and its Aurora flavor. Please stay tuned.

Transportation 192

Transportation Architecture Processing Storage 192

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. billion in 2020 to $4.1 Optimized system performance.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge A future blog will continue my exploration into Citus by scaling out pgbench into other architectures. In order to speed up the benchmark indexes must be added.

Database 105

Database Benchmarking Latency C++ 105

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. 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.

Best Practices 52

Best Practices Design Tuning Database 52

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

Percona

JULY 2, 2023

This blog was originally written in September 2018 and was updated in June 2023. As discussed in the introductory blog post , we highlight important aspects an enterprise should consider for its PostgreSQL environments. WALs in PostgreSQL are similar to transaction log files in the InnoDB storage engine for MySQL.

Strategy 52

Strategy Database Storage Open Source 52

Tech News Gather

JUNE 16, 2023

Welcome to the Consistent Blog, your go-to resource for valuable insights and expert guidance on building a highly profitable UberEats clone. Stay tuned to learn how to lay the foundation for a successful clone app that converts readers into leads. Stay tuned for valuable insights on designing a captivating UberEats clone.

Social Media 52

Social Media Tuning Strategy Media 52

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. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52

Brendan Gregg

SEPTEMBER 5, 2017

Search for recent blog posts on Linux containers, and try them out, and you'll piece together their capabilities and workings bit by bit. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). It can be menu driven or automated.

Virtualization 76

Virtualization AWS Engineering Hardware 76

The Netflix TechBlog

SEPTEMBER 24, 2021

Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side. 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.

Cloud 237

Cloud Media Storage Cache 237

Percona

JANUARY 17, 2019

AWS Aurora (based on MySQL 5.6) now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). I will compare AWS Aurora with MySQL (Percona Server) 5.6 Aurora PQ works by doing a full table scan (parallel reads are done on the storage level).

Cache 46

Cache C++ AWS Airlines 46

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

MARCH 28, 2011

We see that with our Amazon customers; when they hear a great tune on a radio they may identify it using the Shazam or Soundhound apps on their mobile phone and buy that song instantly from the Amazon MP3 store. blog comments powered by Disqus. he posts material that doesnt belong on this blog or on twitter. Contact Info.

AWS 138

AWS Cloud Storage Internet 138

All Things Distributed

NOVEMBER 28, 2012

They contain large amounts of locally attached storage on multiple spindles and are connected by a minimally oversubscribed 10 Gigabit Ethernet network. This configuration maximizes the amount of throughput between your storage and your CPUs while also ensuring that data transfer between nodes remains extremely fast. Amazon Redshiftâ??s

Cloud 164

Cloud Storage Architecture Scalability 164

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 145

Availability Performance Scalability AWS 145