Today’s enterprise IT organizations are experiencing a massive upheaval due to pressure from employee forces. It’s a familiar story. Just think of the turmoil caused by the dawning of the bring-your-own-device (BYOD) era, with employees demanding to use their beloved personal mobile phones for work.

Hiring a software developer is hard work! So how do you know if the programmer you’re interviewing is a good fit for your development team? This guide will help you evaluate candidates by examining their technical skills, team fit, and cultural fit. Incorporating ‘the why’ into your developer interview process can help make sure you’re hiring the right people for your culture. It’s also a great opportunity to gauge how well a candidate will do within your organization.

The number of applications and services is increasing as companies face time-to-market pressure from customers. Application programming interfaces (APIs) are a key component of modern software architectures. APIs are tools that let companies share their data internally or with third-party services to create new value-driven products for customers.

Hitachi Vantara’s latest improvements to Pentaho make it significantly easier for organizations to move data workloads from on premises to the cloud and back again. The new Pentaho 9.3 Long-Term Support (LTS), part of Hitachi’s Lumada portfolio, offers a cloud deployment option that we anticipate will be a critical accelerant of data-driven transformation.

Our Five Key Points: When you start an e-commerce business, you know that you’ll need some top-level digital services to get your products and services online and in front of the right audience. Not every online store is as big as Amazon, but with effective tools, you can still make waves. How do you pick the right apps and SaaS or PaaS to make your online business as profitable as possible?

Python is a programming language originally developed in the late 1980s. Since then, it has seen continuous growth and remains one of the most popular programming languages, especially in data science. Many programmers learn Python as their first language, and it has a wide range of uses. Its second iteration, Python 2.0, landed in 2000, after extensive development throughout the 90s.

API providers need to understand how their consumers are using their APIs. Usage metrics are essential because they tell you about API adoption, how your API is growing over time, and which endpoints are seeing more (or less) use. When you look at API usage metrics, you should be measuring the active users on your API in the sense that most closely aligns with your service.

As far back as the 1920s, Service Level Agreements (SLA) were used to guarantee a certain level of service between two parties. Back then, it was the on-time delivery of printed AR reports. Today, SLAs define service standards such as uptime and support responsiveness to ensure reliability. The benefit of having an SLA in place is that it establishes trust at the start of new customer relationships and sets expectations.

Elixir is all about performance. Say you have an app up and running with Elixir, but some parts aren't working as fast as you would like them to. That is where profiling comes in. Profiling tools usually walk you through the frequency and duration of function calls and where they spend their time. Erlang has impressive profile tooling available at its disposal. In this post, we will look into three profiling tools in Elixir: cprof, eprof, and fprof.