Item: Amazon Elasticsearch Service
Rating: 6
Author: Verified User

Overall Satisfaction with Amazon Elasticsearch Service

Use Cases and Deployment Scope

We use AWS Elastic to compile metadata options for products that have a lot of options on them, things like rugs with multiple sizes, colors, patterns, shapes, and so on. This helps us to create one source of truth that we can then call through the API to get the data back we need through a lightweight webservice call.

Pros and Cons

Pros

Search
Query language
light-weight

Cons

onboarding
technical skills
difficulty in learning language

Return on Investment

Observability
Troubleshooting
Trending

Usability

It is an extremely powerful tool if the time is put in to learn it. There are basic skeletons of out of the box behavior, it involves having really dedicated people to learn how to use it to take full advantage of its capabilities. A 10 for the tool itself, minus 3 for the difficulty in learning and maintenance.

Alternatives Considered

New Relic, Grafana and Splunk Cloud

Splunk is the most flexible of the 3 where you can manipulate the data to whatever fits your specific use case. Grafana has the most powerful capabilities but the steepest learning curve. Grafana also does offer the most flexibility as you can visualize almost any data source. Elastic is a solid middle ground between the 2.

Key Insights

Do you think Amazon Elasticsearch Service delivers good value for the price?

Are you happy with Amazon Elasticsearch Service's feature set?

Yes

Did Amazon Elasticsearch Service live up to sales and marketing promises?

Did implementation of Amazon Elasticsearch Service go as expected?

Would you buy Amazon Elasticsearch Service again?

Yes

Other Software Used

Grafana, Splunk Cloud, New Relic

Likelihood to Recommend

Elasticsearch is well suited for somebody that does not have any search capabilities or observability already in place. The ECS schema is a good one to adopt to structure your data in a usable and serviceable way.

Elasticsearch like most SaaS observability offerings, can be difficult to learn, and can have extra charges based on storage, replication, and ingest needs.

Comments

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Elasticsearch is fantastic, with some caveats