Elastic Observability vs. Google Cloud Operations Suite

We can use this Elastic Observability in our business problems such as Creating internal/operational efficiencies issues, customer relations/service, and business process outcomes issues. This product has a lot of features for the above problems. But this product may be having some issues when charting purposes. But it can adjust for that purpose.

Incentivized

Easy to set up in all environments. With this tool, the company is now able to measure both well-functioning data and data that needs immediate intervention. This early detection facilitates decisions about actions to correct the disorder and improve indexes. Stackdriver is now essential for the company's security and monitoring team and we plan to expand to other branches.

Incentivized

• Open source code base
• Community support
• Is fast in processing

Incentivized

• All the application error reporting available at a single place.
• You will get the real-time application error and alerts.
• It's really easy to use and no need to worry for the setup.

Incentivized

• Difficult to setup/maintain
• Search pattern bar could be more user-friendly
• Premium subscription features are very expensive

Incentivized

• For searching and filtering the logs the system is slow sometimes.
• An agent needs to be installed in each VM to monitor specific metrics.
• The pricing model is confusing.

Incentivized

It is also a great problem detection tool, and this is extremely important for General Motors.

The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:

- containment of hosts;

- cloud provider limitation;

- hardware wear.

And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.

Incentivized

Splunk is a very good product but the licensing costs are high; we utilise the best of both worlds by using both products for slightly different purposes. We put the voluminous data with simple use cases in Elastic where it doesn't cost too much and can be searched quickly while putting the less voluminous data with more complex use cases in Splunk so we can take advantage of Splunk's very comprehensive but often much slower SPL search query language

Incentivized

Incentivized

• Cost management.
• Good customer increment.
• Time management.

Incentivized

• We completely depends on Stackdriver for error monitoring and reporting.
• Stackdriver is very simple to use and available at default.
• Stackdriver is the key part for our business to get the insight of our application behavior.

Incentivized