Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., We’re not told how Seer figures out that a major architectural change has happened. Seer is also tested on a 100-server GCE cluster with the Social Network microservices application. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Percona

JANUARY 19, 2023

Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11 sec) db1 test> CREATE TABLE tb3 (id int auto_increment primary key, test_text tinytext); Query OK, 0 rows affected (0.13

Open Source 85

Open Source Storage Database Big Data 85

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Information Architecture. Web Performance Daybook-Volume-2. Designing for Performance. Building Progressive Apps.

Performance 75

Performance Social Media Website Website Performance 75

Highly Scalable

MARCH 10, 2015

user behavior cannot be precisely predicted) or because it’s impossible to extrapolate the existing data to the case of interest (e.g. A/B testing and panel surveys are used in such cases to get additional data points that improve the precision of the model. the action is to introduce a completely new service). Pazzani, D.

Retail 152

Retail C++ Analytics Metrics 152