The first lesson you learn as you start to work around the DevOps field is that being optimistic is not a good virtue. While that might seem overly pessimistic, let me explain. We plan our architecture to fit our needs, deal with edge cases, scale our applications up and as wide as we see fit, and with all of that, we still always expect for the unexpected to happen. As engineers, we are expected to deal with that unexpected.

A quote from Tim Cook says- “When you care about people’s happiness and productivity, you give them what brings out the best in them and their creativity. And if you give them a choice, they’ll say, ‘I want an iPhone,’ or ‘I want a Mac.’ We think we can win a lot of corporate decisions at that level.” This says a lot about the love for the iPhone we all have!

Data integration has been around for decades in some form or fashion, as organizations are always looking for ways to combine their enterprise data and collect it in a centralized location. The most commonly used and dominant type of data integration is ETL (extract, transform, load). ETL first extracts data from one or more source systems, transforms it as necessary, and then loads it into a target warehouse or data lake.

Congratulations! This is an exciting moment to begin building a new mobile app. Cross-platform frameworks have changed everything: thanks to them, developers can now ship performant apps across many platforms with a single codebase. Two of the biggest frameworks are Flutter and React Native, both with a ton of buzz around them. So what’s the right choice for your project?

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? In our humble opinion, we believe that’s Cloudera Data Platform (CDP). And sure, we’re a little biased—but only because we’ve seen firsthand how CDP helps our customers realize the full benefits of public cloud.

We’re going to investigate the basic strategies to debug an application created with Unity, from logs to breakpoints, during the development stage. Once an app is in production we can switch to using Bugfender, and we’ll explain this too. To illustrate this tutorial we have created a custom app called The Bugfender Game, a variation of the popular Flappy Bird. Unity is a cross-platform game engine that gives users the ability to create games and experiences in 2D, 3D, VR and AR.

Since the start of the pandemic nearly a year ago, there's been one word on the lips of every business leader, analyst, and investor around the world: cloud. COVID-19 fundamentally changed the way businesses operate. In response, organizations went all in on cloud, betting on the unmatched scale, speed, and security of SaaS applications to help them weather the storm. Nowhere was this shift more pronounced that in our own data and analytics industry.

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. It’s a pie-in-the-sky statement that sounds great, right? And while you’d be forgiven for thinking that it might sound too good to be true, operational ML is, in fact, achievable and sustainable. You can get the very kind of ML you need to increase revenue and lower costs. To help teams work smarter and do things faster.

As organizations refocus and restrategize this year, machine learning projects seem to be on the top of IT priority lists. Innovation is more important than ever, and this has led to higher spending, increased hiring budgets, and a wider range of ML use cases. Despite this, organizations are facing challenges in actually deploying machine learning models at scale. A lot of models are never operationalized, or if they are, the process to production takes too long.

Azure API Management (APIM) is a powerful platform that enables you to publish and scale APIs while ensuring they are secured. One of the great features of Azure APIM is that you can add plugins and transforms to your APIs without any code change or restarts. These capabilities are deployed using XML Policies which are a collection of statements.