Elastic Observability Reviews & Product Details

Best way to analize and store million log traces in graphs. The best big data open source platform Review collected by and hosted on G2.com.

The timestamp fields are very restricted. It should be more open and automatically detecting the needed timestamp Review collected by and hosted on G2.com.

Elastic Observability is a powerful platform for observing transactions & telemetry customer data so that we can correlate issues within a short duration. This also helps us to handle Mean Time To Resolution (MTTR) efficiently, which is crucial for our end users. Along with the internal state of our applications, we can also gain insights into their dependencies & potential vulnerabilities to prevent production failures. Review collected by and hosted on G2.com.

Improvements in the documentation would be helpful while we work with various data connection and visualization requirements. It will also ease the complexities faced during Agent setup for our environment. Elastic Observability is apt for our enterprise needs as it aggregates, correlates and inspects our application's telemetry data to visualize our functionalities. Review collected by and hosted on G2.com.

It allows to search keywords or attributes pushed by fluent D filter in text format and returns JSON documents based on the search keywords and selected time frame. More than going through each Kubernetes log it's easy to search any issue within a few seconds around whole log files. Review collected by and hosted on G2.com.

When we use the elastic search API over HTTP it will take much time to return the JSON response when the log files' weight becomes terabytes. However, it can be avoided using backup and clearing the old logs from the storage. Review collected by and hosted on G2.com.

I like the watchers feature the most. It is very useful in support lifecycle. we create events n our logging and then we once we create the watchers for the given event. the watcher gets alerted. we can also write an action like triggering a slack notification that will alert the monitoring team. this has helped our team in championing the proactive monitoring. Review collected by and hosted on G2.com.

in watchers, the queries are limited unlike the free search/ lucene query. sometimes, its difficult to write a complex query for filtering an event in watcher script. Review collected by and hosted on G2.com.

Reduce the time engineers spend reading log files related to the Kubernetes cluster by using keyword search. Query any indexed keyword within seconds for any timeframe. Review collected by and hosted on G2.com.

Over time, the query time will increase due to the heavy volume of logs, and Elasticsearch might sometimes hang due to the large volumes of log data. However, backing up old logs and clearing them would help to maintain Elasticsearch's health in a good way. Review collected by and hosted on G2.com.

I like three things about Elasticsearch:

1 - Its flexibility

2 - Its reliability

3 - How much the product has evolved over time

I have been using Elasticsearch for some time and even after a few years, I'm still amazed at how flexible and reliable it is. I have been able to use Elasticsearch to ingest millions of events and build queries/dashboards on top of it and every time Elastic has delivered above and beyond. Review collected by and hosted on G2.com.

There is very little I do not like about Elastic. Maybe one thing that could see improvement over time is the Kibana UI. Sometimes is not counter-intuitive how it works, especially if you're trying to build complex visualizations. Review collected by and hosted on G2.com.

1) Flexibility of integration with almost all the tools and components around the globe.

2) Ease of use.

3) Developer friendly API's and Query mechanism.

4) Super quick.

5) Support for Distributed Computing.

6)Very powerful analytics tool called the Kibana which is the 'K' part of the ELK stack. Review collected by and hosted on G2.com.

1) No multi language support for handling request and response. Means, the request and response can be sent and received in the same language only. No cross language support.

2) Works on near real time. It means there is a lag of at least 1 sec between the time of data input and the time when the data becomes available for search. Review collected by and hosted on G2.com.

What I like the most is the simplicity of using Elastic Observability Review collected by and hosted on G2.com.

I dislike in "Elastic Observability" is the fact that there is no option to combine the logs with our log files and to see all application info at the same place Review collected by and hosted on G2.com.

I have been impressed by Kibana's flexible layout, which makes it easy to visualize large volumes of data in one place quickly. Kibana has allowed me to put everything I need to see right at my fingertips to make real-time decisions. Review collected by and hosted on G2.com.

It would be great to have more support materials to guide new users in connecting their data and setting up their visualizations. I am intrigued by the machine learning options and would love to understand that more, but I struggle to find suitable materials. Review collected by and hosted on G2.com.

Dashboards and visualization feature in Kibana is really great. There are tons of ways you can visualize and analyse your data. The feature of importing and exporting object helps save time. Review collected by and hosted on G2.com.

It's a bit complex to integrate kibana as application logging tool. There will be many challenges on setting up agents and if the agent faces some issue then that can cause issues in log file rotation. Data is retained for less number of days and it can become more expensive if you need more data retention period. However, it does offer cold storage. Review collected by and hosted on G2.com.