Now Java developers can leverage Honeycomb to gain insight into the behavior of their apps and services by using an SDK similar to the ones we’ve already released for Go, Python, Javascript and Ruby.

Statistics published by the Journal of Hospital Medicine in July 2017 show that despite the persistent campaign to educate the healthcare community about the problematic nature of pagers and unsecured messaging, both continue to be popular technologies.

In a previous blog post, we talked about Amazon Relational Database Service (RDS). RDS is one of the most popular cloud-based database services today and extensively used by Amazon Web Services (AWS) customers for its ease of use, cost-effectiveness and simple administration.

Today we are releasing Graylog v2.4.6 to fix a few bugs.

Oftentimes, enterprises struggle to notify customers, employees, partners and other key stakeholders about incidents. Yet failure to maintain constant communication with key stakeholders may slow down incident response. Worst of all, a lack of communication may put customer relationships in danger and lead to revenue losses, brand reputation damage and other long-lasting business issues.

Today we’ve got a few new additions to take you through, and you can expect some other changes still to come as the week progresses!

Virtual architecture is complex to standup and deploy, and when it comes to the ability of your support team to fix an issue it needs to be done fast and when possible – proactively. This is extremely important from the business user perspective in all organizations, but even more importantly in healthcare where there is another person’s health and possibly even their life on the line.

Kubernetes is developing so rapidly, that it has become challenging to stay up to date with the latest changes (Heapster has been deprecated!). The ecosystem around Kubernetes has exploded with new integrations developed by the community, and the field of logging and monitoring is one such example.

It is imperative to keep a close watch on all the Cron jobs you have defined on your system, this would include checking errors and validation of codes. For monitoring of defined Cron Jobs, a developer can use a “Hosted monitoring system” like PushMon. This kind of a system is defined as a push monitoring system as it depends on receiving signals from Cron jobs for monitoring and error notification. A system like PushMon has the following 4 steps in its monitor of your Cron job.

In this article we will cover Docker image scanning with open source container security / image scanning tools. We will explain how to to deploy and setup Docker image scanning: both on private Docker repositories, and as a CI/CD pipeline validation step. We will also explore ways of integrating image scanning with CI/CD tools like Jenkins, Kubernetes runtime configuration features and runtime security tools like Falco.