Splunk APM Reviews

Name: Splunk APM
Brand: Splunk
Rating: 4 (17 reviews)

4.1 out of 5

17 reviews
89% willing to recommend

1,009 followers

What is Splunk APM?

Splunk APM is a comprehensive application performance monitoring solution that provides real-time insights into the performance and availability of your applications.

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Splunk APM is the #13 ranked solution in APM tools. PeerSpot users give Splunk APM an average rating of 8.2 out of 10. Splunk APM is most commonly compared to Splunk Enterprise Security: Splunk APM vs Splunk Enterprise Security. Splunk APM is popular among the large enterprise segment, accounting for 78% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.

Helped 814,325 peers since 2012

Featured reviews

Lakshmi Padaga

Java Developer at U.S. Bank

Mainly, I like Splunk APM because it will show the errors compared to other tools. We use the dashboards to monitor our applications. It will tell us the errors, and we can solve them quickly. I have used APM but haven’t used Trace Analyzer, though I have some knowledge of it. We are able to implement it. We have some Trace Log Points in Splunk APM to catch the errors. We have a special graph for it where we can see the red points. We use OpenTelemetry. OpenTelemetry and Splunk APM are similar in terms of observability and monitoring. We use it for observability standardization, which allows us to collect traces and metrics, making it easier to work with different monitoring tools, including Splunk APM. It is more flexible because it allows us to instrument our applications without being locked into a specific monitoring vendor. It supports collecting traces, metrics, and logs from our applications, providing a comprehensive view of our performance and health endpoints. This data can be fed into Splunk APM, giving us in-depth analysis and insights about our application.

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GauravGupta6

Project Team Lead - Devops at S&P Global

Detectors are a powerful feature. They create signal flow code in a format similar to Splunk APM language. For example, if we select five conditions, the detector can automatically generate the code for that signal flow. This code can then be directly integrated into our Terraform modules, streamlining the creation of detectors using Terraform. This is particularly helpful because our infrastructure adheres to a well-defined practice, and detectors help automate this process. APM dashboards are another valuable tool. They provide more comprehensive information than traditional spotlights. One particularly useful feature is the breakdown of a trace ID. This breakdown allows us to see the entire journey of a request, including where it originated, any slowdowns it encountered, and any issues it faced. This level of detail enables us to track down the root cause of performance problems for every request.

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CosmeCardoso

Senior Software and Production Engineer S at WEX Inc.

We utilize Splunk APM for security purposes, monitoring all transactions within the organization to prevent potential attacks. Additionally, we leverage Splunk APM to analyze application logs, gaining insights into application behaviour and facilitating a reduction in Mean Time To Resolution should…

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Splunk APM mindshare

As of October 2024, the mindshare of Splunk APM in the Application Performance Monitoring (APM) and Observability category stands at 0.7%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Key learnings from peers

Valuable Features

Splunk APM is valued for quick deployment, user-friendliness, multiple visualization options, and rapid setup. Its application performance monitoring, troubleshooting capabilities, and robust dashboard creation are praised. Users appreciate features like the service map, Tag Spotlight for trace analysis, and comprehensive insights into microservices. The integration with downstream applications and scalability stands out. Its ability to monitor and optimize application performance and provide end-to-end visibility is frequently mentioned.

"Once configured correctly, the analysis reporting the Splunk APM provides is better than that of the other APM tools."
"It supports proactive management, enhances security, and improves operational efficiency."
"The company has many systems that the customer is paying to access. Splunk APM issued via AppDynamics helps find problems in the feed. It reduces the risk of supervising all the devices. I can supervise the flow and simulate the conditions of the repository across several dashboards to show what's happening at the moment."

Room for Improvement

Areas for improvement in Splunk APM include enhancing workload monitoring, custom metrics, and UI integration with Splunk Cloud. Users find log navigation and query setup challenging and request better scaling features for microservices. Performance, documentation, and keyword language need upgrades. Sampling traces and improving correlation between resources are also suggested, along with a simpler dashboard construction process and log analysis capabilities. Cost concerns due to the licensing model are noted.

"Splunk isn't an ideal tool for application performance management due to the extensive setup required."
"There are always areas for potential improvement to enhance its functionality and user experience."
"The dashboards are used mainly to visualize information about the infrastructure, but it isn't easy to construct or use the dashboards. While we tried to resolve the issue by calling support, it would be easier if they had an AI co-pilot to identify the problem and help you solve it."

ROI

Switching to Splunk APM resulted in a return on investment for some users. It helped IT staff focus on other projects by saving around four hours and was essential in managing systems and solving numerous problems. While some found it valuable, others did not monitor the return on investment closely.

Pricing

The pricing of Splunk APM is competitive compared to other solutions, offering reasonable and transparent costs. Users appreciate the flexibility in licensing options, such as changing from host-based to more granular metrics like the number of metric time series or traces analyzed per minute. A 14-day free trial is available, and users report having productive dialogues with vendors to align costs with their specific needs.

"Splunk APM is expensive."
"The pricing is based on several factors, including the scale of deployment."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."

Popular Use Cases

Organizations use Splunk APM for monitoring FaaS workloads, visualization, charting, alerting, telemetry, logs, infrastructure workloads, application performance, metric-based monitoring, troubleshooting, distributed tracing, performance testing, understanding application bottlenecks, and monitoring cloud-native applications. It helps in ingesting application logs, creating dashboards, setting up alerts, and incident troubleshooting.

Service and Support

Splunk APM's customer service and support are generally praised, with responsiveness and technical expertise rated highly. Users appreciate helpful and prompt service, though some mention minor delays in updates and real-time issue resolution. Engagement through meetings and calls is common, and experiences with documentation are positive. While some don't interact directly with support, others note the involvement of sales and support teams in addressing needs. A few mention no immediate need for support due to lack of issues.

Deployment

The initial setup of Splunk APM is straightforward, with package installers and integration with Puppet aiding simplicity. Deployment speed can vary with infrastructure but is generally quick. Splunk APM's use of OpenTelemetry facilitates easy deployment, avoiding issues with proprietary agents. Comprehensive documentation and team familiarity with Splunk ease the process. Deployments across environments like development and staging can face challenges but are manageable. Some users find deployment gets easier with experience. Maintenance and uptime are well-regarded.

Scalability

Splunk APM is highly scalable and flexible, allowing for increased metrics and alerts without impact. Users can scale according to subscription models and new features. While scalability is generally rated highly, some companies face limits with large data sets and request more specific filtering options. There is recognition of these issues, and improvements are being sought for higher container counts. Users appreciate its capacity to scale within usage and cost limits.

Stability

Splunk APM is generally stable. Some users reported intermittent issues like loading traces and dashboards, especially when usage limits were reached, rating it 90% stable. Others experienced no bugs, glitches, or downtime, giving ratings of 8 to 10. A few mentioned occasional slowdowns and lower accuracy in metrics due to underperforming machines. Stability experiences vary, with some observing no production outages and appreciating its reliability.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Splunk APM Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

13%

Retailer

11%

Healthcare Company

Government

Insurance Company

Real Estate/Law Firm

Transportation Company

Educational Organization

Comms Service Provider

University

Energy/Utilities Company

Hospitality Company

Non Profit

Media Company

Construction Company

Legal Firm

Outsourcing Company

Recreational Facilities/Services Company

Logistics Company

Consumer Goods Company

Wholesaler/Distributor

Performing Arts

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Learn more about Splunk APM

It offers end-to-end visibility across the entire application stack, from the front-end user experience to the back-end infrastructure. With Splunk APM, you can proactively identify and resolve performance issues, optimize application performance, and ensure a seamless user experience.

Splunk APM leverages machine learning and AI-powered analytics to automatically detect anomalies and provide actionable insights. The product supports a wide range of programming languages and frameworks, making it suitable for both monolithic and microservices-based architectures. It also integrates seamlessly with other Splunk products, allowing you to correlate APM data with logs, metrics, and other operational data for a holistic view of your application environment.

With its intuitive interface and powerful features, Splunk APM empowers developers, operations teams, and business stakeholders to deliver high-performing applications and drive better business outcomes.