In an ideal world, developers would be able to release new products and features from development environments into production extremely fast while also not having to stress about breaking prod. Achieving this combination of development speed while also maintaining software reliability requires having the right toolchain and automation in place.
Git is a version control system (VCS) that allows you to track the development of a project over time. At the time of Git’s inception in 2005, developers had to use the command line interface (CLI) to manage Git. Learning and using the command line however is often an extremely difficult task for many developers and in some cases represents a significant barrier of entry for those seeking to leverage the power of Git. Enter the graphical user interface (GUI), also referred to as a Git Client.
Git hooks are an accommodating solution for organizations that seek to implement consistent policies and procedures across their teams. First and foremost, they enable teams to run custom scripts according to certain Git operations. Building automation into your Git client helps remove the possibility of human error and improves workflows with little effort. Here we will explore how Husky works with Git hooks in JS projects. First, let’s start with the basics.
Process improvement is the continuous refinement of workflows within an organization. To achieve operational excellence, you need to relentlessly work on improving your processes. By doing so, you will minimize waste, optimize resources, and improve quality and productivity. Without any hesitation, let's explore the best process improvement examples.
PostgreSQL is a popular open source object-relational database system designed to work for a wide range of workloads from single machines to data warehouses to web services with many concurrent users. PostgreSQL runs on all major operating systems and is used by teams and organizations across the world, including Netdata. If you are using PostgreSQL in production, it is crucial that you monitor it for potential issues. And the more comprehensive the monitoring the better!
Rated as the top order tracking and revenue generation app on Shopify, Rush lets businesses build and personalize their own dashboards to manage the post-sale process with real-time data, custom product recommendations, and user feedback. Their business model focuses on low touch and user-centered design (UCD), which leaves little room for issues impacting how people interact with the platform.
Both Artificial Intelligence and Machine Learning are complex things. There are so many things to know. These days human life has changed because of AI. So, before understanding the differences, let’s know about different factors. If I have to say the difference in simple words. AI helps us solve various tasks; on the other hand, Machine Learning is the subset of AI’s specific tasks. So, you can say that all Machine Learning is AI, but all AI is not machine learning.
Even before the cloud, no one liked deployment downtime. With applications hosted in traditional data centers that restricted access for local users, many organizations scheduled deployments when users were less likely to be using the applications, like the middle of the night. With widespread adoption of cloud-based, 24x7 environments available from all time zones, every hour of the day, easy-to-find deployment windows are gone.
