Google Cloud Operations Suite vs. Splunk Application Performance Monitoring (APM)

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

Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.

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

• Detect and Troubleshoot, which allows team to eliminate errors.
• Dashboard creates a one stop location for environment health
• Provides visibility, access to logs and user data real time.

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

• I wish Splunk Application Performance Monitoring could integrate with packet capture and analysis tools and provide the integrated analysis results on each tier of the application

Incentivized

Splunk is a great tool for log mining. It is less time-consuming and easy to use. It provides high security, it has customisable dashboards. Furthermore, it acts as a search head, and it gives real-time status. It has the ability to collect data from any source and multiple sources, and it can correlate them.

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

Incentivized

It is good that the correlation analysis and the cause of the failure can be analyzed more extensively through the collection of many data. It is good because it provides a user interface (usability) well and can be used conveniently.
It is good because it can utilize anomaly detection through various AI-based ML models.

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

• It gave us more quicker alerts in a organize way to distribute to specific audience.
• Helped us to improve our uptime by getting pro-active alerts via emails
• More collaboration in a DevOps culture

Incentivized