When I joined Appian as CMO last December, the world was in the middle of the COVID-19 crisis, the low-code automation market was exploding as companies reacted to massive change, and Forrester was predicting that 75% of application development would be using low-code platforms (up from 44% in 2020) by the end of 2021. In other words, the time was ripe to update the Appian brand for the coming decade of change.

Have you ever wondered why your bounce rate is always over 70% and can never quite figure out why? Your content reads great, you’ve got top-notch videos of your products, and you’ve even got a testimonial from Microsoft saying how good your company is! Well, all of these things seem to have little impact on visitors to your website if you have a) constant pop-ups or b) slow page loading speed (and if you have both, I’d disable Google Analytics now…).

In the age when data is the new oil, more than 80% of IT decision-makers delay their business decisions due to slow data processing. Architecting your ETL pipeline with database replication can speed up your data processes. Database replication creates an analytic database as a separate copy of your production database. This unburdens the transactional database from analytical queries while securing fresh data in the analytical database for faster time-to-insights.

A short guide to data management best practices for both large enterprises and fast-growing startups.

As complex applications change faster than ever, testers must create, prioritize and maintain tests with greater speed and velocity than ever before. In-sprint testing cannot rely on slow and manual test case creation, and maintaining repetitive scripts manually becomes impossible in short iterations. Testing requires an automated and systematic approach to test creation so you can reliably update tests based on the latest changes.

The art of management is to act at the right moment. Good leaders allow team members to be autonomous when things are going in the right direction. In the same time, they are swift in fixing up issues when it was a minor problem, thus avert a crisis later on in time. Knowing the right time act is not easy. This ability used to come from years of experience through trials and errors. With modern source control tools (e.g.

Speedscale was built primarily to provide engineering teams with better insight into their applications over time, replaying single transactions for root cause analysis that give developers and SREs confidence that tomorrow’s application code will work just as well in production as it did yesterday.

Data integration is crucial in today’s business world. Business data comes via many sources, from internal databases to clicks on a website. Being able to access all your data in one place helps your business make better, faster decisions. But how do you integrate all your data, and what’s the best way to do it? Here we discuss five data integration methods, how they work and why businesses continue to choose them.

Recent global events have forced many businesses to embrace digital technology. This and advancements in software technology caused explosive innovation, resulting in the development of new platforms within many organization’s technology suite. Functionalities such as automation, artificial intelligence, and even some internet of things (IoT) applications are now commonplace across large enterprises, small businesses and start-ups alike.

Anything that can be connected will be connected. This is the ultimate goal of technology. Connections with new objects and devices open the door for big data and new insights. It’s a branch of technology long in the making, with just a few hiccups. But advances in API technology aim to address these concerns and advance the IoT into a new era. As these advancements continue, organizations are learning that APIs can play a crucial role in increasing connectivity across the suite of IoT applications.