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.
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.
Financial companies have lots of assets that are valuable and these assets such as laptops, mobiles etc. contain crucial information that is crucial for business continuity and for maintaining SLAs and TATs. Not too surprisingly, even financial sector entities such as banking institutions, lending services, brokerage firms face several issues due to mismanagement of assets. As a result, they suffer from asset misplacement, asset theft, decreased productivity, and unknown asset movement.
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.
As a busy executive, taking time to attend an event and listen to sessions is a luxury. And yet, I know that many of my best breakthrough ideas on how to lead my teams have come from taking those moments to tune into new ideas. The challenge is figuring out where the hidden nuggets of wisdom are buried in a mountain of content.
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.