Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). To simulate text messages I have used ~3 billion of reddit comments (10 years from 2007 to 2017), downloaded from pushshift.io. So can we use it as our main datastore? count()?? ? 1 rows in set.

Database 40

Database Analytics Blockchain Healthcare 40

Sutter's Mill

JULY 12, 2010

From the article: … Active objects dramatically improve our ability to reason about our thread’s code and operation by giving us higher-level abstractions and idioms that raise the semantic level of our program and let us express our intent more directly. NET, Java, and C/Pthreads. 2 How Much Scalability Do You Have or Need?

C++ 40

C++ Java Programming Website 40

Brendan Gregg

JANUARY 17, 2018

It is used for capacity planning and scalability analysis. The tool also has a cumulative mode (-C), which resets the referenced flags once then takes continuous measurements. wss.pl -C `pgrep -n mysqld` 1. Your app may have populated 100 Gbytes of main memory, but only uses 50 Mbytes each second to do its job. 102.36. [.].

Cache 71

Cache Latency C++ Programming 71

Brendan Gregg

JANUARY 16, 2018

It is used for capacity planning and scalability analysis. The tool also has a cumulative mode (-C), which resets the referenced flags once then takes continuous measurements. wss.pl -C `pgrep -n mysqld` 1. Your app may have populated 100 Gbytes of main memory, but only uses 50 Mbytes each second to do its job. 102.36. [.].

Cache 40

Cache Latency C++ Programming 40

Highly Scalable

MARCH 10, 2015

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns. Kadie, 1998.

Retail 152

Retail C++ Analytics Metrics 152

High Scalability

NOVEMBER 25, 2019

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. In 2007, businesses had started to become more distributed; customers were using multiple devices to access their files and there was a need to make this experience as smooth as possible.

Architecture 52

Architecture Cache Azure Storage 52