Operations | Monitoring | ITSM | DevOps | Cloud

The weakest link in most digital networks is the person sitting in front of the screen – the defining feature of the Internet of People (IoP). Because that’s where, through cunning and manipulative tactics, unsuspecting recipients can be tricked into opening toxic links. Little do they know, however, they’ve unwittingly opened the gates to digital catastrophe. Of course, I have nothing against people. In fact, some of my best friends are people!

In this blog post we’ll help answer the age old question, “What does this service talk to and what does it say?” We’ll see how to inspect inbound and outbound REST API calls to see what calls are being made and what incoming traffic causes a reaction. This can be pretty handy when you’re taking over maintenance of an existing service, or if your code just isn’t behaving the way you expect.

The discovery of the Log4Shell vulnerability in the ubiquitous Apache Log4j package is a singular event in terms of both its impact and severity. Over 1 million attack attempts exploiting the Log4Shell vulnerability were detected within days after it was exposed, and it may take years before we see its full impact.

With a nearly endless array of open source projects available to contribute to these days, knowing where to start contributing can feel easier said than done. Need some inspiration? Whether you’re new to the world of open source, are gearing up for Open Source Fridays in the new year, or just want to see what other folks are excited about, check out a few of our favorite open source projects to contribute to in 2022.

TLDR; Pleco is a service that automatically removes Cloud managed services and Kubernetes resources based on tags with TTL. When using cloud provider services, whether using UI or Terraform, you usually have to create many resources (users, VPCs, virtual machines, clusters, etc...) to host and expose an application to the outside world. When using Terraform, sometimes, the deployment will not go as planned.

More and more agencies and brands are relying on machine learning these days to analyze mountains of data and provide insights they can use to better inform advertising campaigns. Using ML, artificial intelligence tools can recognize patterns in data gleaned from existing campaigns to see how ads are impacting customer engagement, purchase intent and conversion rates.