Operations | Monitoring | ITSM | DevOps | Cloud

Is monitoring in the cloud special enough to warrant a list of tips and best practices? We think so. On the one hand, monitoring in the cloud might seem easy since there is a large number of solutions to choose from. On the other hand, though, the dynamic and distributed nature of the cloud can make the process much more challenging. In this article, we’ll cover ten tips and best practices that will help you ace your cloud monitoring game.

As if the temperature this summer was not high enough, this new major release of the Elastic Stack promises turns it up a notch with some hot new features. Bundling new ETL capabilities in Elasticsearch, a bunch of improvements in Kibana and a lot of new integration goodness in Filebeat and Metricbeat, Elastic Stack 7.3 is worth 5 minutes of your time to stay up to date.

Hive and Spark are two very popular and successful products for processing large-scale data sets. In other words, they do big data analytics. This article focuses on describing the history and various features of both products. A comparison of their capabilities will illustrate the various complex data processing problems these two products can address.