Rittman Mead Blog

New Performance Analytics Release

Poor performance is one of the most common complaints we hear upon arrival to customer sites, and often for good reason. When users have time to “make the rounds” before the system returns a result (if it returns a result at all), they have the right to be frustrated. Unfortunately,

kibana

Time Series Visualisations: Kibana or Grafana?

Grafana [http://grafana.org/] has rapidly become one of the de-facto “DevOps” tools for real time monitoring dashboards of time series metrics. In addition to its powerful visualisations, Grafana is not tied to a particular stack or vendor, and supports multiple backend data sources including InfluxDB [https://www.influxdata.com/

Technical

System Metrics Collectors

The need to monitor and control the system performances is not new. What is new is the trend of clever, lightweight, easy to setup, open source metric collectors in the market, along with timeseries databases to store these metrics, and user friendly front ends through which to display and analyse

Technical

OBIEE Performance - Why Metrics Matter (and…Announcing obi-metrics-agent v2!)

One of the first steps to improve OBIEE performance is to determine why it is slow. That may sound obvious—can’t fix it if you don’t know what you’re fixing, right? Unfortunately, the “Drunk Man anti-method [http://www.brendangregg.com/methodology.html]”, in which we merrily stumble

Technical

OBIEE Monitoring and Diagnostics with InfluxDB and Grafana

In this article I’m going to look at collecting time-series metrics into the InfluxDB database and visualising them in snazzy Grafana dashboards. The datasets I’m going to use are OS metrics (CPU, Disk, etc) and the DMS metrics from OBIEE, both of which are collected using the support

Technical

Extended Visualisation of OBIEE Performance Data with Grafana

Recently I wrote about the new obi-metrics-agent [http://ritt.md/oma-intro] tool and how it enables easy collection of DMS data from OBIEE into whisper, the time-series based database behind graphite. In this post I’m going to show two things that take this idea further: 1. How easy it