“Remember that guy that gave up? Neither does anybody else.” Progress on the new Monitive has been slow as a snail in a marathon, but nevertheless the progress was there. Since the last update last year, a lot has been going on, and one day I woke up and just decided to write, even if small updates. Not only because Monitive is about transparency, but because I love writing.

Apache Flink is an open source framework, written in Java and Scala, for stateful processing of real-time and batch data streams. Flink offers robust libraries and layered APIs for building scalable, event-driven applications for data analytics, data processing, and more. You can run Flink as a standalone cluster or use infrastructure management technologies such as Mesos and Kubernetes.

We are today very excited to bring you new updates to CFEngine. This is a set of patch releases for the CFEngine 3.12 LTS and 3.15 LTS series. We usually release new patch releases every 6 months, but we want to bring new features and all improvements and bug fixes to our users as soon as possible.

The unexpected and sudden shift to remote working introduces a new set of problems within the incident response space. And while each organization needs to take its own unique circumstances into account, this post outlines the best practices and steps that can be taken in the right direction in keeping operations both productive and proactive.

“Shadow IT” can be a divisive subject depending on how long you’ve been in the IT field. There is a legacy attitude within many IT teams that shadow IT must be controlled – but it can bring significant benefits to an organization. Modern IT teams understand these benefits, and focus on balancing shadow IT’s value and risk. Moving past that legacy attitude and developing a modern IT mentality in your organization can be difficult.

We added a series of improvements to our notifications settings, making it easier for you to control where your alerts are sent.

Even with a complete understanding of the benefits that come with running a hybrid environment, companies are still challenged with digital transformation best practices: what to move, when to move it, what’s being spent, how it’s performing, and what’s being overutilized and underutilized. This is why Amazon Web Services (AWS) is one of the most strategic partners in LogicMonitor’s ecosystem.

Nothing’s worse than getting a call from the users that the network is down. Too often, IT lacks the visibility they need to get before performance issues arise, meaning you’re in the dark until a user or customer calls to complain. Once an outage happens, the clock is ticking. And the more time you take to understand and resolve the issue, the more it costs you: in terms of customer dissatisfaction, and also staff time & lost productivity.

This article will cover the most common challenges you might find when trying to use Prometheus at scale. Prometheus is one of the foundations of the cloud-native environment. It has become the de-facto standard for visibility in Kubernetes environments, creating a new category called Prometheus monitoring. The Prometheus journey is usually tied to the Kubernetes journey and the different development stages, from proof of concept to production.

Runtime security for Rancher environments requires putting controls in place to detect unexpected behavior that could be malicious or anomalous. Even with processes in place for vulnerability scanning and implementing pod security policies and network policies in Rancher, not every risk will be addressed. You still need mechanisms to confirm these security barriers are effective and provide a last line of defense when they fail.