Blog-on-Digital-Transformation

Posts Tagged ‘Research and Development’

Love Ruby on Rails

November 6, 2015 | 0 Comments | Eugene Melnikov
This blog post compares Ruby on Rails and Node.js across a number of scenarios: implementing changes, debugging, dealing with packages, etc.

Golang Internals, Part 6: Bootstrapping and Memory Allocator Initialization

October 15, 2015 | 0 Comments | Siarhei Matsiukevich
This blog post explains how to initialize traceback, the stack pool, a memory allocator, size classes, the heap, etc.

Golang Internals, Part 5: the Runtime Bootstrap Process

This blog post explores the specifics of resizable stacks and internal TLS implementation.

Golang Internals, Part 4: Object Files and Function Metadata

March 18, 2015 | 1 Comment | Siarhei Matsiukevich
This blog post explores the structure of function metadata, and how a garbage collector uses it.

Golang Internals, Part 3: The Linker, Object Files, and Relocations

March 11, 2015 | 0 Comments | Siarhei Matsiukevich
Learn how to generate a Go object file and work with relocations, as well as what TLS is and how the Go linker operates.

Golang Internals, Part 2: Diving Into the Go Compiler

Using a sample Go program, this blog post explains how a node tree is generated and utilized.

Golang Internals, Part 1: Main Concepts and Project Structure

This blog post explains the structure of a Go-based project, dives into the Go compiler, and overviews a Go node.

10 Key Criteria for Evaluating API Automation Tools

February 10, 2015 | 0 Comments | Alex Khizhniak
APIs are crucial for any microservices-based architecture—as a means of communication between its components.

A Comparison of Redis Cloud, ElastiCache, openredis, RedisGreen, Redis To Go

January 27, 2015 | 0 Comments | Vladimir Starostenkov
The study evaluates the behavior of six major Redis-as-a-service providers under three scenarios.

NoSQL Tech Comparison 2014: Cassandra (DataStax), MongoDB, and Couchbase

October 2, 2014 | 0 Comments | Alex Khizhniak
The new study compares the popular NoSQL databases across 21 criteria: performance, scalability, availability, ease of installation, maintenance, etc.