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About Daniel Berman

Daniel Berman is Product Evangelist at Logz.io. He is passionate about log analytics, big data, cloud, and family and loves running, Liverpool FC, and writing about disruptive tech stuff.

December 2016

Taking a Look at 5 Startups at AWS re:Invent 2016

By | December 8th, 2016|Amazon Web Services, Blog|

It was impossible to visit every single company at re:Invent 2016, but here are some of the cool technologies that caught our eye.

Using Kibana Timelion for Time Series Analysis

By | December 7th, 2016|Blog, Kibana|

Where Kibana falls short in time series analysis and visualization, Timelion helps by combining independent data sources within the same visualization.

Reporting From the Front of AWS re:Invent 2016

By | December 1st, 2016|Amazon Web Services, Blog|

In case you missed the live stream, here's a recap from Las Vegas of the major news that has come out of AWS re:Invent 2016 so far.

November 2016

Integrating Logz.io with PagerDuty & Using Aggregations for Alerts

By | November 30th, 2016|Blog, Company News|

Built-in alerting is a popular Logz.io feature. Now, we've integrated with PagerDuty and added the ability to trigger alerts on field aggregations as well.

Playing Around with Metricbeat and Elastic Stack 5.0

By | November 28th, 2016|Blog, ELK Stack|

Metricbeat collects metrics from servers, systems, and services and ships them to an output destination such as Elasticsearch, Logstash, Redis, or Kafka.

Logging Docker Containers with AWS CloudWatch

By | November 21st, 2016|Blog, Docker|

How to set up the integration between Docker and AWS and then establish a logging pipeline from CloudWatch into the Logz.io ELK Stack.

Elasticsearch Mapping: The Basics, Two Types, and a Few Examples

By | November 14th, 2016|Blog, Elasticsearch|

Mapping in Elasticsearch can seem daunting, especially if you’re just starting out with ELK. This article will help you to understand the basics.

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