Elastic Observability Features & Capabilities

Elastic Observability

SmythOS

groundcover

Elastic Observability is a software that allows users to monitor their business's health and performance. Elastic Observability offers a wide range of features, including monitoring, alerting, reporting, and analytics.

Access Controls/Permissions

Activity Dashboard

Activity Tracking

AI/Machine Learning

Alerts/Notifications

Application Security

Bottleneck Identification

Capacity Analytics

Charting

Container Monitoring

Customizable Reports

Dashboard Creation

Data Aggregation

Data Import/Export

Data Visualization

Database Monitoring

Diagnostic Tools

Drag & Drop

Email Alerts

Event Logs

Incident Management

Issue Management

Issue Tracking

IT Monitoring

Monitoring

Multi-Cloud Management

Performance Analysis

Performance Management

Performance Metrics

Performance Monitoring

Predictive Analytics

Real-Time Analytics

Real-Time Data

Real-Time Monitoring

Real-Time Notifications

Real-Time Reporting

Real-Time Updates

Reporting & Statistics

Reporting/Analytics

Root Cause Analysis

Search/Filter

Server Monitoring

Single Sign On

SSL Security

Status Tracking

Third-Party Integrations

Transaction Monitoring

Trend Analysis

Uptime Reporting

User Management

Visual Analytics

Workflow Management

Datadog

Splunk Enterprise

New Relic

Site24x7

LogicMonitor

ServicePilot

AppDynamics

ManageEngine Applications Manager

ManageEngine OpManager Plus

Pandora FMS

Logz.io

Essential tool for all my devops needs

Review for Elasticsearch

It is a really good product and does what it intends to do well, as long as you are not intimidated by the terminal and configuration files.

Logstash works great with Elasticsearch and Kibana, making it easy to ingest data and transform it

Elastic - Very fast moving company and product

We're ElasticSearch mainly to index large amount of logs from several servers. Its makes it very easy for us to index and search logs. Logstash sends the logs and with Kibana we access to logs and create nice dashboards. But, you have to manage your indexes. For our log an index is created every day which we reindex monthly to a new index, then we do a forcemerge and after that we delete the daily indexes. This keeps the number of shards low. If we don't do this we run into problems because if to many shards. But, you can schedule this via curl and with every new version of Kibana/ElasticSearch you can do more and more via the GUI. For us this is the number one tool to index and search gigabytes of logs on a daily base and we're able to keep months of logs and still be able to search through it.

Great for indexing a large amount of data

before we use syslog with mysql, when mysql reach space to 500GB we can not search faster, we need to delete. but since we use graylog enterprise and also elastiflow to monitor the real time traffic we save alot of time, we can querry million message in a few second only, and space of data are up to 1TB can still search faster.

Elasticsearch super fast search billion log file in a second

Elasticsearch is an essential part of the our operations architecture. 

Best open source search engine, offers fast and speedy search

and look for log files and then find the issue. ELK sovles this problem efficiently.During troubleshooting, it is biggest pain to open servers 

Searching made easy when you need it the most.

As a developer, was using it for quite a lot of time for different projects and would say it is almost impossible to find an alternative for this product due to the fact it is the best product in the segment. 

Industry standard for search 

It has been really good. We only have JSON data and we stream it to the elastic search. We can search and index data as we need and it is really bast and performant.

Using ELK stack for monitoring and logging

Elasticsearch is one of the best in the market, it's efficient and highly scalable.

This is the best in the market.

Elasticsearch is wonderful free software. It is fast, scalable and easy to use. 

We are using Elasticsearch along with Logstash and Kibana. This setup provides great tool for parsing and searching through a tons of logs which are centralized in Elasticsearch.

Best tool for your logs

Elasticsearch is used as part of the ELK stack and we used it mainly to search logs.

Great solution for searching data

Great tool for incident management

Elastic Search 

Elastic Observability screenshot: Elastic Observability stream

Elastic Observability screenshot: Elastic Observability dashboard

Elastic Observability screenshot: Elastic Observability service map

Elastic Observability screenshot: Elastic Observability metrics

Compliance Management

Data Connectors

Metadata Management

Data Quality Control

Data Security

Document Storage

Multiple Data Sources

Audit Trail

Automatic Backup

Data Integration

Full Text Search

Interactive queries

Database Support

Collaboration Tools

Data Cleansing

Data Analysis Tools

Data Synchronization

Customer Database

Data Capture and Transfer

Task Scheduling

Data Verification

Secure Data Storage

Data Extraction

Data Migration

Master Data Management

Behavior Analytics

Audit Management

Information Governance

Data Management

Elastic Observability Features

Features Summary

Screenshots

Contenders comparison

Common Elastic Observability comparisons

Reviewers who mentioned features said: