Item: Elasticsearch
Rating: 10
Author: Jose Adan Ortiz

Overall Satisfaction with Elasticsearch

Use Cases and Deployment Scope

Elasticsearch has been a big help for us. We used to work with Application Performance Management Tools that need another layer of visualization and data treatment, and with Elasticsearch we have delivered better insights for our customers.
We use Elasticsearch at our Technology & Services Department to address these issues for our customers:
- Customized Dashboards.
- Anomaly Detection.
- Metrics Predictability.

Pros and Cons

Pros

Anomaly detection. It can find patterns over a wide variety of metrics and values.
Behind the walls, Elasticsearch has a robust distributed architecture to support queries and data processing, and it is easy to maintain and scale.
Elasticsearch has a new Elastic Cloud SaaS solution which is very easy to deploy, set up, and scale with all features and more.
Elasticsearch has an important security layer to separate access to data and dashboards.

Cons

If you want to explode Elasticsearch's capabilities, you need to have a medium-high SQL and Database knowledge.
The user interface is heavy in Java requirements, and sometimes you can get some lag displaying heavy results for heavy queries.
It will be helpful if you can construct Logstash queries with a drag&drop based user interface.

Return on Investment

Elasticsearch can give you insights based on predictability, to do a Capacity Plan for infrastructure metrics.
The Visualization and Dashboards can give you a real view of business KPIs.
With OOTB anomaly detection, you can see potential issues with systems.

Alternatives Considered

Splunk Enterprise

With Elasticsearch you can integrate a lot of data sources. It can act as a small DataLake where you can put different kinds of data and extract important insights. With Splunk, additional to elevated costs of licensing and hardware, you need to have expert engineers to address business and platform requirements. If you have Elasticsearch, it can be easily deployed and scaled.

Other Software Used

Slack, Freshsales CRM, Microsoft Visual Studio Code

Likelihood to Recommend

Elasticsearch can be used perfectly inside a site for searching features in order to respond quickly to user queries. It can be used to act as a Centralized Log Server, where you can define events based on pattern detection for anomaly detection.
Elasticsearch has potent visualization features with Canvas and OOB Dashboards that can respond to business and technical requirements.

Comments

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Elasticsearch, centralized logs and anomaly detection, easily deployed.