Security best practices remain a top priority for enterprises, especially as high-profile hacks and cybersecurity breaches pose increased risks. According to the 2022 Morgan Stanley CIO survey, IT spending is expected to reach 4.4%, with cloud computing and security software as the leading verticals. This rapid digital transformation across sectors presents organizations with opportunities, along with some new challenges.

Sometimes you may have related events that you want to group together or want to give a friendly name to events. This could be especially true if you have a group of API calls you want to combine into a single API product. Fortunately with Moesif you can do exactly that, so that groups of events can be looked at as a single unit, like a SKU. In Moesif, this can be done by using the Event Tag feature.

Pricing APIs correctly is a key part of your API monetization strategy. That means understanding how you should charge for usage, whether it’s better to set your pricing by month or quarter, whether data tiers or a Pay As You Go API pricing model would work best and a whole host of other elements. In this post we’ll cover all you need to know when pricing APIs.

A key part of business is the drive for continual improvement, to always do better. “Better” can mean different things to different organizations. It could be about offering better products, better services, or the same product or service for a better price or any number of things. Fundamentally, to be “better” requires ongoing analysis of the current state and comparison to the previous or next one. It sounds straightforward: you just need data and the means to analyze it.

When I first started my role as an analytics engineer, I was tasked with rewriting a bunch of data models that were written in the past by contractors. These models were taking over 24 hours to run and often failed to run at all. They were poorly thought out and contained a bunch of “quick fix” code rather than being designed with the entire flow of the model in mind.

In the growing digital landscape, it’s a significant challenge to meet and cope with customer expectations, changing trends, use of technology, and expand the user base for digital applications. Many applications today fail to realize their full potential because they do not consider the complete end-user requirements during the design and development phase. It requires an exceptional effort to create and develop new technology accessible to all users.

In a world where technological advances are made on a daily basis, software products are often affected by routine updates. While updating software is necessary for all businesses, it can introduce a slew of bugs into applications and websites. If these software bugs are not thoroughly tested, validated, and fixed, they could end up costing the company a lot of money in production. User interface (UI) and visual bugs in software products are often disregarded due to the focus on functional testing.

Our five key points: Your data management processes are only as effective as the quality of the data you collate. Gaining access to as much data as possible is vital if you want the business-critical insights that can set you apart from the crowd. For Ecommerce businesses, so many of the resources you use are online, such as cloud-based SaaS, ERPs, or CRMs. Integrate.io explains why data integration is such a big part of data management for Ecommerce and the benefits of an intuitive ETL and ELT tool.

Have you developed a vision for modernizing your testing? Now it’s time to make that vision a reality. When you set out to transform your testing practice, don’t just aim to improve a few processes—instead, strive to make sweeping changes in the culture and activities of your testing organization. By definition, a transformation should entail major changes. It’s your chance to implement an entirely new vision for testing.