Since the start of the pandemic, business demands on your IT team have skyrocketed. You need granular, actionable insights to keep up with the speed and volume of digital transformation projects and IT incidents occurring across your organization. Canned reports from SaaS-based systems like ServiceNow aren’t fundamentally built for analytics.

It is incredibly helpful to quickly detect when a customer encounters an error and where the error originated from in your source code. Thankfully, this is where many interpreted languages shine. They always include a complete backtrace — the path where the call was made, which caused the error to be raised (or thrown). In AppSignal, any error alert will bring you to an incident detail page that shows you that backtrace.

Our joint customers can remain within Azure for all their cloud services, facilitating compliance and minimizing data movement costs.

We can all remember a time when we had a negative experience with a platform service. Perhaps we ran into a set of reoccurring errors or the platform was unreliable and continually crashed. The classical example of this might be the early days of Apple Maps. In any case, the common thread of these experiences is the feeling of frustration from valuable time lost, resulting in a tarnished relationship with the product. Thankfully, in the world of APIs, customer-facing teams have taken note.

When organizations track metrics by the thousands, millions, or even billions, it’s helpful in many ways to understand which metrics have close relationships, meaning when one metric behaves in a certain way, one or more additional metrics can be expected to behave in a similar or opposite way.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Kamil Walkowiak CTO and VP of R&D at cux.io, an app for UX Automation, behaviour and user experience analysis, currently operating in 102 countries. Kamil is the author of the UX Automation concept and teaches companies how to create more "observable" websites.

Stop what you’re doing and make your passwords more secure! How, you ask? Read on to find out. It’s become very anecdotal when we speak about passwords for our online accounts and why these might matter. We all take this very lightly and assume that no one can guess or work out what our passwords are and thus we think no one will be able to access our most sensitive information be it online bank accounts, Amazon accounts, or your emails. We are wrong.

Data warehouses fixed one aspect of the data silo problem but introduced another. They function as a large, single source of truth for your organization, but getting insights from this data in a typical Extract, Transform, Load (ETL) data pipeline requires the use of Business Intelligence (BI) and analytics platforms. By the time your data team creates these reports and sends them to other business units, it’s too late for daily decision-making.

For the past few years, microservices have been the talk of the town, with numerous success stories across big business and start-ups alike. However, with the rise of containerization in the enterprise, we are starting to hear about this term again as the new Holy Grail, the next step in the evolution of our applications. In this article we’ll look at some of the main driving forces behind why many developers now see microservices as the the future of application development.

In any business, in any industry that relies on purchases of their products or services, one of the most important rules is to retain its loyal customers. The Pareto Principle (80% of the results comes from 20% of the input) proves how important customer retention really is. Research shows that often, 80% of the sales come from around 20% of customers. Apply this method to your sales, and you’ll see!