Most of us have learned the hard way that it’s usually cheaper to fix something before it breaks and needs an expensive emergency repair. Because of that, I like to keep track of what’s happening in my house so I know as early as possible if something is wrong. As part of that effort, I have a temperature sensor in my attic attached to a Raspberry Pi, which Prometheus scrapes every 15 seconds so I can view the data in Grafana.
Sentry is excellent at capturing runtime errors in your applications. With the recent additions of performance monitoring and release health, it can further help as you build and ship code. Recently we used Sentry to ensure we didn’t break Sentry while doing a large refactor. When replacing an API or code path with a new implementation you’ll likely ‘deprecate’ the old path, but how do you know when that old path is finally not in use?
In 1927, the world was introduced to the origins of Artificial Intelligence (AI) in the form of a robot in the movie Metropolis. Throughout nearly a century since then, movies have continued to iterate on the complexities of AI, as both a fun take on it and serious commentary on the potential concerns and consequences. This is all well and good, but as AI has continued to evolve, we find ourselves asking, “how can we actually use this to make our lives easier?”
As a Senior Solutions Engineer helping customers deploy cloud-native technologies, I have been using Docker and Rancher for more than five years. Heck, I even helped steer Rancher for offline use when it was the 0.19 release. I have loved the product and company for YEARS. We all know how complicated it is to set up Kubernetes, and customers love Rancher because it simplifies that rollout.
Apache Hadoop is an open-source software framework that can process and distribute large data sets across multiple clusters of computers. Hadoop was designed to break down data management workloads over a cluster of computers. It divides data processing between multiple nodes, which manages the datasets more efficiently than a single device could. Here is our list of the best Hadoop monitoring tools.
The conventional monitoring solution focussed primarily on analysing the performance of the network. Gradually, the scope of such tools increased and they are now packed with a host of security features. Focus is now more towards Forensic analysis, security threats analyzer, TCP analyzer, Firewall monitoring, Auditing and Compliances. So, how do you know which network security monitoring tool is essential for you? Which technique will provide the best ROI for your business?
One of the key benefits of using Kubernetes is that it’s very flexible and fault tolerant. However, that also means that it has quite a lot of complexity to deal with. A well-built operator abstracts that complexity away and helps manage updates and upgrades seamlessly. The Mattermost Kubernetes operator is basically like having a Mattermost Cloud Engineer running inside your Kubernetes cluster managing Mattermost for you.
