Serverless computing is one of the fastest-growing areas in software development, along with hybrid clouds and using multi-cloud strategies. The global serverless architecture market is expected to grow at a CAGR of 16.2% in 2021 through 2026. It will reach $10.29 billion from $4.2 billion in 2020, according to MarketWatch. The serverless approach promises to help developers beat the cons of self-managed and even virtual server infrastructure. But is serverless right for you?

“Cost” would seem to underpin almost every decision IT teams make. Sure, business requirements drive overall operations budgets, but it’s always in tension with decades-old certainties about cost. It’s long been the unyielding constant of IT equations. In particular, IT pros migrating application infrastructures out of the data center have discovered the on-premises math of cost containment no longer works.

In this tutorial, I will show you how to build and deploy a Jekyll static site to AWS S3 + Cloudfront using GitHub Actions. At PagerTree we use GitHub Actions to automate the building and deploying of our marketing site pagertree.com. These days, if you have to do anything manually more than a couple of times, you should probably be automating it. GitHub Actions make it easy to automate software workflows.

Recently, Amazon AWS introduced the new feature EC2 Serial Console for instances using Nitro System. It provides a simple and secure way to perform troubleshooting by establishing a connection to the serial port of an instance. Even though this feature is useful in case of break glass situations, from a security perspective, it could be used by adversaries to gain access through an unguarded secondary entrance.

Radnor, PA – April 20, 2021 – Goliath Technologies, a leader in end user experience monitoring and troubleshooting software, announced today they are introducing the industry’s first Citrix Cloud Connector Module. This new module monitors not only the health of the entire Citrix Cloud infrastructure but all Cloud Connectors as well.

A common challenge in data engineering is to combine traditional data warehousing and BI reporting with experiment-driven machine learning projects. Many data scientists tend to work more with Python and ML frameworks rather than SQL. Therefore, their data needs are often different from those of data analysts. In this article, we’ll explore why having a data lake often provides tremendous help for data science use cases.

The race to cloud migration can seem like a good idea for most businesses, but a common trend has been to get there as soon as possible. Much like with the story of the tortoise and the hare, there are lessons to be learned from moving too fast. When it comes to cloud migration, businesses would be smart to choose a more strategic route and take their time.

Today we are excited to share a key milestone, not only for Logz.io, but also for our industry as a whole. For the first time ever, an industry analyst took on the ambitious challenge of analyzing and assessing several different markets including monitoring and telemetry, APM, AIOps, observability, and more. The radar also takes account of evaluating leaders’ various products, unveiling a comprehensive overview under the unified lens of Observability.

Back in December, Amazon Web Services (AWS) and Grafana Labs partnered to launch the Amazon Managed Service for Grafana in a preview to a limited set of customers. Amazon Managed Service for Grafana is a scalable managed offering that provides AWS customers a native way to run Grafana directly within AWS alongside all their other AWS services.

Instead of using the public internet, more and more businesses are adopting Azure ExpressRoute for direct connectivity to the Azure public cloud. Here’s a more detailed look at the reasons why…