Sometimes, when working with a top-of-the-line monitoring tool, having access to the best possible visibility, granularity, and reliability is simply not enough. Sure, those features represent the ultimate goals in…
Drinking from the Firehose: How SolarWinds Database Performance Monitor Compresses its Metrics
Understanding your SQL Server Monitoring: Part 2 CPU
Welcome back. Last time we met, I reiterated the importance of a good SQL Server monitoring solution, and not just monitoring, but monitoring intelligently. We also went over ways to…
Daily Monitoring of Microsoft Exchange
Email is the lifeline for almost every business in this world. When email is down businesses cannot communicate. There is loss of productivity, which could lead to dollars lost, which…
Understanding your SQL Server Monitoring: Part 1 Storage
As IT professionals, our main mission is to keep applications running successfully. Each application is judged by end-users, using different factors. Exchange is considered successful by users as long as…
Application Monitoring: From Fire Fighter to Psychic Powers
As IT professionals, we have all been there, the dreaded help desk call “Is email down?” (Replace with any business critical application). One of the worst things we deal with…
Anomaly Detection for Monitoring – A New eBook
We’re excited to share Anomaly Detection for Monitoring a new, free eBook written by Preetam Jinka and Baron Schwartz. In the eBook, published in collaboration with Ruxit and O’Reilly, Preetam…
Improving Data Privacy in 2016
January 28 is Data Privacy Day (DPD). Observed since 2008, DPD brings awareness to the importance of data privacy and protection. According to the Verizon 2015 Data Breach Investigations Report,…
Queueing Theory: London Underground Escalator Policy Challenges Social Norms
In 2016, we published our eBook Everything You Need to Know About Queueing Theory, and as part of its launch, we blogged about one way (of the many) queueing theory…
All Data is Not Created Equal
“Horizontal expansion loses the depth, though excessive depth that only provokes darkness is futile. Therefore a balance between depth and vastness is essential in learning” ― Privavrat Thareia
Analyzing Spark’s MPP Scalability with the USL
Over at the Percona Performance Blog, Vadim recently published benchmark results for Apache Spark, and the shape of the graphs caught my eye. Here’s one of Vadim’s charts: The benchmark…