Splunk Infrastructure Monitoring, formerly known as SignalFx, has been widely used across organizations for continuous monitoring of cloud resources and application statuses. Users have relied on Splunk Infrastructure Monitoring to aggregate data from various areas and correlate them to pinpoint problem areas. Different applications within organizations have used Splunk to monitor core infrastructure, back-end app servers, front-end servers, databases, and other parts of the application. Splunk Infrastructure Monitoring has helped track hundreds of device endpoints, providing visibility into each device and the ability to customize the data received from them.
The monitoring capabilities of Splunk Infrastructure Monitoring have helped detect device problems and automatically remediate them in some cases. Users have determined custom logs to capture, noted their locations and hosts, and gathered sample log files for Splunk ingest. Splunk Infrastructure Monitoring has been used to monitor AWS infrastructure, troubleshoot issues, and provide visualizations of different data types. It has also been used to monitor Azure and on-prem resources, as well as application health. The product has served as the primary monitoring and alerting solution for infrastructure and application metrics, helping maintain uptime on systems and address business problems related to system monitoring.
Splunk Infrastructure Monitoring has delivered real-time monitoring and troubleshooting across various platforms, enabling instant visualization, alerts, insights, and troubleshooting steps. It has provided observability over a distributed higher education environment and helped build an infrastructure map for steering decisions. The product has been used for incident detection and prevention, monitoring logs, and saving logs for all necessary cases. Splunk Infrastructure Monitoring has been used as a primary monitoring tool in Cloud Infrastructure, managing dashboards and incidents. It has offered deep insights into system and network activities, monitored applications, and alerted when applications go down. The product has helped monitor service health, diagnose issues, and show data in a manner that exposes the desired information. It has been used to monitor infrastructure and services, set baselines, and analyze logs for trends, issues, improvements, and reporting.
Customers have found value in the proactive monitoring features of Splunk Infrastructure Monitoring, allowing them to take action based on metrics like CPU utilization and disk space. Reviewers have praised the product's ability to alert users about system issues and take proactive measures to maintain system uptime. Overall, Splunk Infrastructure Monitoring has proven instrumental in monitoring different environments, including production, UAT, development, Linux virtual machines, AWS infrastructure, Azure resources, on-prem resources, and application health. By providing real-time insights, visualizations, and alerts, Splunk Infrastructure Monitoring empowers organizations to make informed decisions and address business problems related to system monitoring effectively.
We're using Splunk Observability Cloud to augment our onprem Splunk infrastructure. It gives us telemetry into our hybrid infrastructure.
Seamless integration across the data center and could using Splunk forwarders
The leading scope for using Splunk is log parsing and proactive monitoring. Combining logs from multiple sources, discerning trends for display on dashboards, and acting on specific triggers (errors, etc.).
The query language is relatively easy and flexible when looking into an application's problems. These queries can then be used for alerts, reports, and dashboards. I believe Splunk is a platform that can help a system grow into its proactive application management, using incidents to add insights as needed without trying to work out every scenario in advance.
We monitor our campus firewall , for auditing, troubleshooting, and changes with 3rd party vendors infra.
We also collect logs from our servers and analyze it for trends, issues, improvements, as well as reporting.
Serve as a central data lake from a lot of different sources
correlation can be tricky.
1.
Determine what custom logs you wish to capture.
2.
Note and document the paths that the logs are located.
3.
Note and document the hosts that contain those logs (IP, short hostname,
FQDN)
4.
Gather sample log files
5.
Check for application guidance for Splunk ingest (i.e. iis
logs require a specific configuration so that logs are readable inside Splunk,
some application can utilize http event collector, etc.)
These scenarios walk you through monitoring, investigation, and detection scenarios for security incidents using Splunk Enterprise Security
I work as an admin to support Splunk users with their application onboarding, and consultancy to provide the best solution for their use cases. Splunk is a monitoring tool that helps the user to create alert dashboards based on their logs. Splunk helps the user monitor their application and search in their log for failure and error. Splunk SPL is very strong and powerful.
Splunk can perform very well if we want to monitor the application and create an alert/dashboard based on that. But if we go for the price, it is very costly Apm tools. There is no url monitoring on splunk, so we want to monitor the url we have to go to any other apm tool that can do this task.
Identify issues and deep dive when there is an issue. Also good to correlate the data between Splunk Core and Splunk 0lly. For the e2e view, it’s good to refer to the data sources onboarded and enable the correlation searches. Use Orel collectors to send metrics and traces, which could be populated to a dashboard.
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.
Using it for applications overall performance review which in conjunction with logs coming from infra level gives us a much needed analysis for our ops team. This helps alot in triage and understanding where is the actual issue in apps . Very useful experience and easy to use and navigate in tool
For thick client based application not very much useful if those are not java based
All logs are sent to Splunk. Different applications may use Splunk more than others, but some apps are monitoring core infrastructure, back end app servers, front end servers, databases and many other parts of the application. Most applications have alerting set up through Splunk. Anytime a search condition is triggered an alert is sent into service now through our Splunk integration.
Splunk is great for ingesting, storing and searching logs. They do a great job of constantly innovating and releasing new features. Our customer service representatives are communicative and helpful. The education credits help our team get educated and prepared for new problems. Splunk's training videos are concise and effective.
We use Splunk RUM for proactive monitoring of our website to ensure that all APIs are working as expected, both from a functional and response time perspective. This simple to use tool allows us to detect performance issues as well as functional problems.
Real time health monitoring of our web applications
For monitoring and reporting errors and failures in the application.
Well suited - for tracing errors based on the Alerts received and for calls stats report generation. Less appropriate- cannot think of a situation where it's not applicable.