Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. StackOverflow statistics show that 26% of developers preferred it in 2017, 34% in 2019, and 40% in 2021. What is PostgreSQL used for? Is PostgreSQL enterprise-ready?

Open Source 80

Open Source Healthcare Social Media Database 80

The Netflix TechBlog

OCTOBER 19, 2020

By 2017, open source projects like Open-Tracing and Open-Zipkin were mature enough for use in polyglot runtime environments at Netflix. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

JUNE 6, 2019

contributed the containerd container runtime to the Cloud Native Computing Foundation (CNCF) in 2017. These capabilities not only ensure full-stack visibility into containers (down to the code level and database), they’re also key for automated discovery of your container and service-to-service dependencies. So stay tuned.

Monitoring 166

Monitoring Tuning Metrics Analytics 166

Percona

JANUARY 17, 2019

In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. I’m using the “Airlines On-Time Performance” database from [link] (You can find the scripts I used here: [link] ). sec) mysql> explain select count(*) from ontime where flightdate > '2017-01-01'G 1. MySQL on ec2.

Cache 47

Cache C++ AWS Airlines 47

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.

Architecture 80

Architecture Scalability Google Operating System 80

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Inserts are efficient for bulk inserts only.

Database 40

Database Analytics Blockchain Healthcare 40