Organisations do not suffer from a lack of data or qualified people who analyse it and draw conclusions but rather from the size of relevant data sets and the limited amount of time skilled people can spend on exploration and analysis. In this blog post we show how Hume Alerts can be used to solve this issue.
Enterprise Integration has existed since many, many years. Although it might seem like an old set of patterns, the reality is that more and more data silos, protocols and systems have been created in recent times which increase the need for the capabilities of an Enterprise Integration platform.
This is the second of a two post series on monitoring the Neo4j graph database with popular enterprise solutions such as Prometheus and Grafana. Monitoring the status and performance of connected data processes is a crucial aspect of deploying graph based applications. In Part 1 we have seen how to expose the graph database internals and custom metrics to Prometheus, where they are stored as multi-dimensional time series.
Database Monitoring is a crucial aspect of any application deployment. After all, databases manage data and sit quite down in the stack. They are robust pieces of software, but their setup and maintenance need care and attention since any problem has the potential to be disruptive to business.