Skip to content

Vert.x

  • in Vert.x
  • 5 min read

Application Development Musings

Since joining HCL Labs my focus for Domino development has been Domino APIs, with Project Keep. Obviously there is little point using a REST API against a Domino database in an XPages application or LotusScript agent. Consequently, application development has been almost exclusively outside of XPages. This has reinforced key differences between Domino development and other application development frameworks. Now was a good time to cover this, particularly following Chris Toohey's excellent blog post "Was XPages a waste of time?". I've always been vocal, that my experience of XPages was not a waste of time. But I'm very much one of those who took a huge step further, and took a lot of time to understand very deeply how XPages worked and how other frameworks were similar or different.

  • in Vert.x
  • 4 min read

Statistics Publishing and Reporting Part Four: Auto-Configuration and Composite Registries

Part One: Domino and Statistics
Part Two: Prometheus Part Three: Micrometer and Prometheus Part Four: Micrometer and Composite Registries

Easier Endpoints for Single Backends

In the last part I covered outputting metrics. If you have an existing HTTP server or wish to create a standalone server, it's easy to output the metrics, as shown on the Vert.x samples:

  • in Vert.x
  • 3 min read

Statistics Publishing and Reporting Part Three: Using Micrometer

Part One: Domino and Statistics
Part Two: Prometheus
Part Three: Micrometer and Prometheus Part Four: Micrometer and Composite Registries

The Easy Way

In the previous two parts I gave some background on metrics and then described my first pass at coding metrics, quite frankly the hard way. The elephant in the room should be apparent: the metrics output was manually coded for a specific reporting tool.

  • in Vert.x
  • 4 min read

Statistics Publishing and Reporting Part Two: Statistics for Prometheus

Part One: Domino and Statistics
Part Two: Prometheus Part Three: Micrometer and Prometheus
Part Four: Micrometer and Composite Registries

In the last blog post I covered the differences between different statistical reporting tools. I can't speak for Panopta covered in the recent HCL webinar. I suspect they're using "pull" (they install an agent on the Domino server) and I suspect they're using one of the traditional reporting databases (their monitoring covers time periods, so there must be a database; and their offering is based around pre-built dashboards for various products, so no necessity for their USP to build their own reporting repository).