Logz.io vs. AWS Hosted Elasticsearch

Looking for an AWS Elasticsearch alternative?

With Logz.io you can get up and running with production level ELK in less than 5 minutes and turn your machine data into actionable insights.

Why log analysis is important in AWS environments

AWS provides us with a high degree of flexibility when building our environment. We can dynamically start and stop services, configure network routing and move data around. Therefore, production applications are inherently more distributed and built out of a series of components that need to operate together to deliver a service to the end user successfully. The ability to aggregate and analyze logs in real time, and in a centralized location, is imperative in AWS environments because this data is critical to understanding how the system is operating, and without it — understanding how the service is performing is impossible.

Why you should use ELK (Elasticsearch, Logstash, and Kibana) for log analysis

ELK is the most common and fastest growing log analytics platform in the world. It is used by companies like Netflix, LinkedIn, Facebook, Google, Microsoft, and Cisco. ELK is an open source stack of three libraries (Elasticsearch, Logstash, and Kibana) that parse, index, and visualise log data (and, yes, it’s free).

AWS Elasticsearch and the Logz.io ELK Stack compared

Free
AWS
Logz.io
Compliance Not part of the VPC SOC II
Logstash x
Kibana 4.0.3 4.1.2
Pre Built Dashboards x
Log Parsing Manual Automatic
Scaling Manual Automatic
Shard optimization x
Elasticsearch mapping Manual Automatic
Index management x
Shipping Plugins Logstash and CloudWatch Only 30 different shipping methods
Free Trial x
Free Tier Minimal 1 GB a day
Alerts Basic Functionality with complex setup AWS Service Built-in Alerts
Data Retention x
Integrations x Slack, PagerDuty(Custom wehlock support)
Extra Features x
Role Based Access x
Extra Features AWS services Native AWS support, Docker Support,
ELK Apps, Alerts, User Control, Insights
Elasticsearch version 1.5.2 2.3 (Always latest stable)
ELK Upgrades x
S3 Archiving
Pricing (100GB a day with 14 days retention) $4,303* (3 master, 6 data and 2 client nodes) $4,368/m

Turn machine data into actionable insights with ELK as a Service

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