1-888-841-5578 Resources Blog

Blog | IT Operations Analytics Change Analytics

Blog

Two Gartner IT Market Clock Reports Give High Scores to IT Operations Analytics

Gartner released two new IT Market Clock reports, showing the critical role IT Operations Analytics. Read more...

Gartner Says Change-based Causal Analysis Makes Availability and Performance Data Actionable

A recent Gartner report addresses how increased availability and performance data volumes don't provide enterprises with sufficient actionable information. The report asserts that causal analysis  makes availability and performance data actionable, with change-based causal analysis holding the most promise for IT operations leaders. Read more...

Workflow - Data Collection Stage

As part of our series on applied machine learning workflow, we'll look at where data comes from, and how we make sense of huge collections of data. Read more...

Algorithm of the Week: Naive Bayes

Naïve Bayes classifier is able to predict a distribution over a set of outcomes and is a good approach for enabling enable IT Operations Analytics tools to check whether an event is expected or not. Read more...

Algorithm of the Week: Apriori

Apriori algorithm is used for frequent pattern mining and association rule learning over transactional databases and is a good approach for enabling IT Operations Analytics tools to detect frequent patterns, and identify critical changes. Read more...

Data and Problem Definition

As part of our series on applied machine learning workflow, we'll look at how to define your problem, and to specifically focus on what to fix for early and more efficient resolution of operational issues. Read more...

Google Unavailable due to Configuration Change

Google cloud users experienced a brief outage, leaving users scratching their heads about what was happening to their Google services. Google attributed the root cause to a configuration change introduced to the network stack. Read more...

Applied Machine Learning Workflow

With Machine Learning projects following a knowledge discovery process, we'll explore the recommended approach to an applied machine learning workflow that you can follow for thinking in a more focused way to tackle data-driven problems. Read more...

Algorithm of the Week: k-Nearest Neighbors (k-NN)

k-NN stores is used for both classification and regression problems, and works well for dynamic environments that require frequent updates, making itan attractive approach for anomaly and outlier detection. Read more...

What Kind Of Problems Can Machine Learning Solve?

Machine learning can be applied to solve really hard problems. While Machine learning can't be applied to everything, we'll look at the different approaches for applying Machine Learning and what problems can be solved. Read more...