For decades, the development and operations teams within companies were siloed. Developers created the software. Operations tested and deployed it. But in 2009, IT consultant Patrick Debois coined the term “DevOps,” a merging of development and operations to improve communications, establish best practices and create feedback loops for organizations to keep improving the overall process.

This thread came in a weird way as a result of seeing yet another re-run of the classic movie “Back to the Future” the other day. Bear with me on this one, and hopefully it will start to make some sense.

While DevOps automation aims to eliminate most human intervention in the CI/CD DevOps pipeline, you can’t always cut people completely out of the process. There are still times when you’ll want an expert, hands-on review to assure that everything is as it should be before allowing your pipeline to proceed further.

Like a football or soccer team, security also has two lineups that must be continuously managed. One lineup involves protecting the digital assets and data of a business. The other: managing the security risk and vulnerability exposure of these environments and endpoints. The tension between these two lineups keep security and IT very busy. There is a critical shortage of expert security professionals, which means no expanding the bench of talent, even if you can afford it.

On October 4, Facebook and its family of apps, including Instagram and WhatsApp, suffered a global outage of its services that lasted approximately six hours. The massive outage has been blamed on configuration errors in backbone routers that are used to connect network traffic to the company’s data center. Facebook apologized to its 3.5 billion users who were unable to access any of the company’s services during the downtime.

The AIOps market is growing wildly, and with that comes a plethora of AIOps solutions. Not all AIOps companies are created equal. We are here to help with our list of the top 10 innovative AIOps companies.

Getting started with AWS and adding your credit card to your own account feels scary, but there are ways to get free credits so you can sleep better in the beginning. In this article, we’ll cover some tricks and tips to get started and keep using AWS for free. Stepping into some new terrain is hard. This is already true if it’s only about learning something new.

Python, used in around 53% of all Lambda functions, is the most popular language for doing Serverless. In this article, you’ll get an overview of the need-to-knows for error handling Python in AWS Lambda.

Many of you may have seen our State of Data Innovation report that we released recently; what better way to bring data and innovation closer together than through Machine Learning (ML)? In fact, according to this report, Artificial Intelligence (AI)/ML was the second most important tool for fueling innovation. So, naturally we have paired this report with a new release of the Machine Learning Toolkit (MLTK)!

If you've ever wanted to discover more about Kaggle, the online community for machine learning students and data scientist practitioners then look no further than our expert-led guide to get an overview on all the basics you need to know about this amazing opportunity provider and competition organiser.