How do you manage to release often without major issues? Create a checklist for your software releases, a list of steps to blindly follow every time release a new piece of software. Here is an example of what steps your list should contain: This list can go on and on, by I would suggest that every team should have a similar checklist. This checklist should be reviewed and updated every 1-2 weeks (doesn’t matter if you do Scrum or Kanban), most likely at the team retrospective meetings.

In 2019, software testing was a $40 billion dollar industry. By 2026, it’s predicted to grow to $60 billion. This signals a paradigm shift in the importance of software testing and quality assurance. With an increased amount of testing and more advanced test strategies, it’s crucial to have a powerful test management tool.

Going into the new year, we had several exciting things in the works: expanding our office space, growing the team, attending and hosting events, and releasing a ton of new features for our users.

It’s no exaggeration to say that today’s internet is built on JavaScript. Around 95% of all websites have been built using the language, according to the latest figures. JavaScript has evolved beyond the client side and is now used to construct entire technology stacks, not to mention support databases like pouchdb and RethinkDB.

Welcome to 2020: the year in which having a business simply can’t happen without having a website. And, in recent years, not just ANY website. Business owners must have THE website: an online virtual space that is so magnificently created and intuitive to use, not to mention flame up emotions we never knew existed that users simply can’t forget. But how do you achieve this in a world with SO MANY WEBSITES without having to spend weeks if not MONTHS creating it?

There comes a time in every developer’s life (or daily routine, we’re not here to judge) where they have to go and fix a bug. Back in the days when I used to be a developer, I distinctly remember how each time I would go face to face with a bug, my favorite method to fix it was to add log lines. I mean, why not, right?

Thanksgiving holiday is upon us. For many of our customers, this is one of the most important periods of the year, with more than 189.6 million U.S. shoppers buying up bargains from Thanksgiving day through Cyber Monday last year. For them and for us, it’s crucial that internal systems can handle high traffic volume without downtime or performance degradation.

The device landscape is as vast as it is complex. With at least 63,000 possible device profiles reported—a number growing at almost 20% per year—the scale of device fragmentation is staggering. New models, operating systems, browsers, screen resolutions, etc., make it extremely difficult for web and app developers to deliver a consistently flawless user experience across all combinations.

Given the competitive value of analytics and rapid adoption rates across industries, you can’t afford a subpar analytics program. In the late 90s, Oakland Athletics general manager Billy Beane used data to discover undervalued talent and assemble a perennial playoff-caliber team, and he did so on a shoestring budget compared to Major League Baseball’s heavy hitters. Beane’s pioneering use of data analytics became the subject of the bestselling book Moneyball.

Many analytics programs struggle to assimilate data from numerous and unpredictable sources, but automated ELT offers a solution. Why do so many businesses struggle to establish successful analytics programs? A lack of data is not the problem. Data volumes — from hundreds of cloud applications to millions of IoT endpoints — are exploding across organizations and industries.