Database

#BackToBasics: Definitions of SQL Server release acronyms

05/04/16 Some content updated April 2nd, 2018 The post #BackToBasics: Definitions of SQL Server release acronyms appeared first on SolarWinds Blog.

How to Build a Probabilistic Sketch

04/13/16 Last month, we published our newest, free ebook, Sampling a Stream of Events With a Probabilistic Sketch, examining the way that SolarWinds® Database Performance Monitor u…

Always On Availability Groups & VMs

03/29/16 As Data Platform Engineers, we are responsible for maintaining the Availability of data to those that are authorized to access it. We have many tools available to us in or…

Why an App-Centric View Isn’t Enough

03/25/16 Sylvia Botros, Sendgrid’s lead DBA, recently told us about one of the ways her teams have found unique value in SolarWinds® Database Performance Monitor. “Engineering mana…

Requirements for Selecting Effective Samples From an Event Stream

03/18/16 There are good and bad ways to select a sample from a stream of events. Depending on how you do it, the resulting sample might be biased or incomplete in various ways. In …

Understanding Your SQL Server Monitoring: Part 3 – Memory (RAM)

03/03/16 In this series, I’ve tried to help you see the importance of SQL Server® monitoring, and also understand what that monitoring is telling you. So far, we’ve looked at how s…

Drinking from the Firehose: How SolarWinds Database Performance Monitor Compresses its Metrics

02/23/16 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, tho…

Anomaly Detection for Monitoring – A New eBook

01/27/16 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 …

Queueing Theory: London Underground Escalator Policy Challenges Social Norms

01/19/16 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 has re…

Analyzing Spark’s MPP Scalability with the USL

01/13/16 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 Factors That Impact Availability, Visualized

12/21/15 We all want our systems to have high availability, but sometimes the exact meaning of “high availability” isn’t very clearly defined. However, availability — like scalabil…

8 Reasons Why ChatOps Isn’t Working At Your Company

12/16/15 About a year and half ago I published a blog post about ChatOps at VividCortex (if you’re unfamiliar with ChatOps, that original post still serves as a good primer). At th…