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January 2017

A Machine Learning Approach to Log Analytics

By | January 19th, 2017|Blog, Log Management|

Supervised machine learning is one of the most powerful tools in the data scientist's toolbox, and now the approach can be used in log analytics.

Aggregated Alerting for Logs with Logz.io and BigPanda

By | January 4th, 2017|Blog, Log Management|

BigPanda reduces the signal-to-noise ratio in IT monitoring. Logz.io creates advanced alerts on specific log messages. Here's how they can work together.

Why Log Data is Important for Compliance

By | January 3rd, 2017|Blog, Log Management|

We've seen a massive shift from on-premise to chains of SaaS platforms. But how can we be sure that all this infrastructure is running properly?

December 2016

Log Correlation with Logz.io and Datadog

By | December 15th, 2016|Blog, Log Management|

How to create an alert in Logz.io for a specific Elasticsearch query, ingest the alert with the Datadog API, and then build a comprehensive dashboard.

Server Log Analysis: It’s More Important Than Google Analytics

By | December 6th, 2016|Blog, Log Management|

Why do you need server log analysis? More than 70 million people use browser add-ons that block Google Analytics and similar trackers.

November 2016

Kafka vs. Redis: Log Aggregation Capabilities and Performance

By | November 23rd, 2016|Blog, Log Management|

Kafka and Redis are used for log aggregation. In this post, we compare the two in regards to their various capabilities and performance tests.

September 2016

Building an NGINX Access Log Monitoring Dashboard

By | September 20th, 2016|Blog, Log Management|

NGINX access logs contain a wealth of information that when monitored efficiently, can provide a clear picture of how the web server is behaving.

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