Testsigma

NOVEMBER 18, 2021

He makes the points that non-functional testing should be higher up in your priority, that manual test data provisioning keeps you from truly reaping the rewards of automation, and that you must never miss an opportunity to celebrate good work. Q3: What are some testing anti-patterns you wish never existed? That is slow.

Engineering 104

Engineering Social Media DevOps Azure 104

Dynatrace

JUNE 9, 2021

According to the 2019 Verizon Data Breach Investigations Report, web application attacks were the number one type of attack. According to the 2019 Verizon Data Breach Investigations Report, web application attacks were the number one type of attack. Recent examples include: The Equifax data breach, in which the private records of 147.9

Open Source 182

Open Source Entertainment Tuning Internet 182

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. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Highly Scalable

APRIL 2, 2012

In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. From the technical perspective, the following properties should be highlighted: All data is initially stored in the relational database, but this database is heavily loaded because it is a master record for many applications.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? Is it expensive JavaScript, slow web font delivery, heavy images, or sluggish rendering?

Performance 145

Performance Cache Media Metrics 145

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It will help you build up a company-tailored case study with real data. Table Of Contents.

Performance 145

Performance Cache Network Metrics 145