Cloud computing is well past the emerging stage. It’s no longer a radical idea for businesses to depend on cloud platforms and services to serve as their technology backbone--and the numbers show it. In 2018, Forrester reported that nearly 60% of North American enterprises rely on public cloud platforms. This year, Gartner projects that the public cloud services market will grow from last year’s $182.4 billion to $214.3 billion this year, a 17.5% jump.

Internet security, in general, is a challenge that we have been dealing with for decades. It is a regular topic of discussion and concern, but a relatively new segment of internet security is getting the lion’s share of attention—internet of things (IoT). So why is internet of things security… a thing?

5G is here and is widely expected to be a transformative communications technology for the next decade. This new data network will enable never-before-seen data transfer speeds and high-performance remote computing capabilities. Such vast, fast networks will need dedicated tools and practices to be managed, including AI and machine learning processes that will ensure efficient management of network resources and flexibility to meet user demands.

Hello, Checkly community and Monitoring as Code (MaC) aficionados! We have some exhilarating news that we can't wait to share. Our mascot is sporting sunglasses today because Checkly has been named in Gartner®'s 2023 Cool Vendors in Monitoring and Observability: Where Awareness Meets Understanding report!

Spark is known as a fast general-purpose cluster-computing framework for processing big data. In this post, we’re going to cover how Spark works under the hood and the things you need to know to be able to effectively perform distributing machine learning using PySpark. The post assumes basic familiarity with Python and the concepts of machine learning like regression, gradient descent, etc.

Today, I’m excited to announce a partnership between Logz.io and Microsoft Azure. With this partnership, Logz.io is now offering Azure customers a fully managed, scalable machine data analytics platform built on ELK and Grafana. What does that mean? Azure customers can now easily deploy, run, and scale ELK without the hassle and pain of maintaining and managing the stack themselves.

Over the last year or so, I experimented with different ways of getting customer feedback for Checkly. This post is about what worked for us and how I was totally wrong about chat widgets.