Operations | Monitoring | ITSM | DevOps | Cloud

Netdata just launched a Pandas collector. Pandas is a de-facto standard in reading and processing most types of structured data in Python so if you have some csv/json/xml data, either locally or via some HTTP endpoint, containing metrics you’d like to monitor, chances are you can now easily do this by leveraging the Pandas collector without having to develop your own custom collector as you might have in the past.

One of my initial surprises upon joining Catchpoint about five months ago was to do with how much confusion there is in the observability market. Every single vendor has almost the same message around ensuring a great digital experience for your customers or employees or both. Of course, these experiences are critical to get right, but for the most part many of these solutions, at best, help to ensure that sites are live and available, and that they are reachable by some users.

Companies, like most things, rarely grow in a straight line. Plants will take root where they can, and send shoots where they can to get the most sunlight, even if there are obstacles in the way. But vines and branches aren’t known for their efficient pathing, which can make a tangled mess of the whole plant. So get a good sun hat and some pruning shears ready; you’ll need them today! The difference between organic and structured growth is one of purpose and planning.

Open source monitoring and observability tools can be found in production all over the world – whether they’re being used by startups or entire enterprise development teams. DevOps, ITOps, and other technical teams rely on tools like Prometheus, Grafana, OpenSearch, OpenTelemetry, Jaeger, Nagios, Zabbix, Graphite, InfluxDB, and others to monitor and troubleshoot their cloud environment.

Developing a strategy for integrating data across your organization helps ensure that everyone has access to the most up-to-date data in a secure way. This article provides an example of a strategy you can use to develop your own. Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.

Development teams build modern applications using microservice architectures. Individual services are built and maintained by separate teams, and then these services are combined using container-based orchestrators to comprise a complete product offering. Microservices are a standard development method because they allow teams to iterate releases, providing ongoing new customer-facing features and bug fixes without needing to redeploy an entire platform or app.

In Pandora FMS we are in luck, we now have Pandora FMS RHEL8 software certification. Some called it impossible, others the next step to take, whatever the case everyone received it with applause! But hold on…