Operations | Monitoring | ITSM | DevOps | Cloud

Data masking is a technique of hiding sensitive data from certain users who should not be able to view or access the actual values. This post will look at the reasons why you might choose to implement data masking and discuss both dynamic and static data masking techniques, and when it is appropriate to use each of these.

In this blog, we will be introducing the concept of High-performance computing (HPC) and HPC clusters. We will also introduce a few categories of practical workloads important in the HPC space. This blog is a part of a series of blogs on HPC where we will introduce you to the world of HPC.

Datadog Events provides customers with a data feed about their infrastructure and applications, delivering an up-to-the-minute history of activity such as code deployments, configuration changes, and triggered alerts. Events collects data from Datadog products and over 100 third-party integrations—including Docker, Jenkins, Kubernetes, Sentry, AWS CloudWatch, and Azure Service Health.

This is the second part of our EKS with Terraform series. In Part 1, we talked about Infrastructure as Code and its benefits. We also mentioned the tools we will be using. This time we will actually start using Terraform to create a VPC and EC2 instance.

Here on the CircleCI Insights team we don’t just develop stuff for CircleCI users, we are CircleCI users. Really, there’s no better way to get to know your product than to use it, and the Insights team is no exception. A few months ago, we realized that our pipeline configuration for the Insights UI left much to be desired.

IT service desk technology has made tremendous strides over the past decade. Despite this fact, however, a recent survey by Gatepoint Research revealed that 74% of today’s on-site workforce still relies on phone calls to get the support they need. Remarkably, this number is even higher (80%) amongst remote workers. This is placing a heavy burden on support teams that are already stretched too thin.