As we discussed in Firecracker MicroVMs: Lightweight Virtualization for Containers and Serverless Workloads, Firecracker is a lightweight virtual machine monitor (VMM) that uses Linux kernel-based virtual machines (KVM) to provision and manage lightweight virtual machines (VMs), also known as microVMs. Without further ado, here is a list of the top ten reasons why we love Firecracker.

If you’ve ever used Go before, the concepts of Publish/Subscribe should be fairly familiar to you. It is much like how goroutines communicate over channels between each other, the idea boils down to allowing for such a channel to have multiple ‘subscribers’ receive messages sent on the channel. This paradigm can be powerful when used right, allowing for a cut down of complexity from both the publisher and subscriber side, as well as fast asynchronous communication.

The insurance industry is among those most impacted by the COVID-19 pandemic. Claims are likely to top €190 billion in 2021, according to reinsurer Lloyd’s of London. However, the pandemic did not fire the starting pistol in challenging insurers to transform, although it has amplified the issue. You can read more about the challenges specific to this sector in a recent interview with Gijsbert Cox, EMEA Insurance Industry Leader at Appian.

It’s 2021 and somehow, I’m still trying to convince people that content is one of the biggest revenue drivers there is. Back in 2017, there was an influx of “content is king” and “why content is important” blogs on LinkedIn and Medium, but it seems little notice has been taken in the years that have followed.

One of the most requested features in a data integration tool is greater flexibility around the scheduling of packages and workflows. With Xplenty, this can be achieved through the use of our Cron Expression scheduling feature. Cron is a software utility that enables Unix-based operation systems, such as Linux, to use a job scheduler. You can create cron jobs, which execute a script or command at a time of your choosing. Cron has broad applications for tasks that need time-based automation.

AWS provides many solutions for managing business data. There’s Amazon Relational Database, or Amazon RDS, which is ideal for scaling your databases on the cloud. There’s Amazon Redshift for warehousing your data. For collecting big data, we’ve looked at a number of modern data integration platforms, but Amazon CloudFront is more of a content delivery platform. So, why are we talking about CloudFront in terms of big data right now?

Five differences between Stitch vs. Dell Boomi vs. Xplenty: Real-time data provides a competitive advantage, so every business requires an analytics strategy. But many organizations struggle to integrate data because they store information in lots of locations, including apps, SaaS, and legacy systems. Extract, Transform, and Load (ELT) makes it easier for companies like yours to access data in disparate locations and move it to one centralized system.

With all the emphasis on the ‘why’ of digital transformation, there’s little clarity of what the end result should look like. And that’s on purpose, because transformation goals are different for each organization and a cookie-cutter model of successful businesses would only stifle innovation. But if there’s one term to describe the end-state of a digitally transformed business, it would be ‘composable enterprise’.

Today’s businesses often rely on hundreds of digital assets, including legacy systems and new applications that streamline their processes. However, you can’t rely on your SaaS apps, microservices, and systems to integrate themselves. Instead, you need an API solution built for full lifecycle API management. Microsoft Azure API Management and 3scale get a lot of positive reviews from users.

In this episode of CDO Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Keyur Desai, CDO of TD Ameritrade. They discuss battlescars in two areas: Building a Data Strategy and Pervasive Self-Service Analytics Platforms. Keyur is a data executive with over 30 years of experience managing and monetizing data and analytics.