Splunk APM (Application Performance Monitoring) is a high-performance, AI-driven monitoring tool that provides organizations with real-time visibility into their complex applications. As part of the Splunk Observability Cloud, it allows IT and DevOps teams to detect, troubleshoot, and optimize application issues before they impact end users. Splunk APM’s unique no-sample distributed tracing technology enables the complete capture of transaction data, ensuring teams gain insights into even the most minute performance bottlenecks. With automatic instrumentation and AI-powered root-cause analysis, Splunk APM empowers teams to identify and resolve issues quickly, reducing downtime and improving service reliability. Splunk APM is designed for businesses prioritizing seamless and high-quality user experiences. By providing full-fidelity data and granular insights into every trace, Splunk APM helps eliminate blind spots and equips teams with the information they need to act swiftly. Its scalable platform supports cloud-native, microservices-based architectures, making it ideal for modern and complex infrastructures. With customizable dashboards, real-time alerting, and integrations with popular DevOps tools, Splunk APM enables proactive and informed decision-making, helping organizations deliver reliable, high-performing applications at scale.
Splunk APM is uniquely positioned in the performance monitoring sector with its no-sample distributed tracing approach, allowing complete visibility into every transaction across complex application architectures without compromising data quality. This capability is vital for DevOps teams in environments where missed traces could mean undetected performance issues that degrade user experience. Traditional APM tools often sample traces, resulting in potential blind spots that delay issue resolution. Splunk APM’s approach guarantees full-fidelity data, and its AI-driven root-cause analysis quickly pinpoints performance bottlenecks. This is invaluable for businesses operating in cloud-native, microservices-based, or containerized environments where complexity is high, and scalability is essential. Splunk APM's real-time insights and integrations with popular DevOps tools empower teams to proactively optimize performance, setting it apart in an industry where such depth of visibility and seamless scalability are rare.
Seller
Splunk
HQ Location
San Francisco, United States
Company Website
http://www.splunk.com/
Contact
+1 4158488400
Year Founded
2003
Correlation of Logs
Metrics
Integration with Synthetic Monitoring
Kubernetes
Code Profiling
Error Analysis
Real User Monitoring (RUM)
Advanced Analytics and Alerting
CUstom
Per User Per Quarter
Get the most out of reviews;
leverage the power of AI to achieve success!
How is Splunk APM in terms of value for money?
for my 10000 people companyHow is Splunk APM in terms of ease of use?
for my 10000 people companyEnglish
Where in GCC does Splunk APM have offices?
Not available.
Who are Splunk APM customers in Middle east?
Not available.
What is Splunk APM local address?
Not available.
Is Splunk APM platform available in Arabic?
No.
Does Splunk APM platform use AI? And where?
Yes, the Splunk APM platform uses AI in several key areas to enhance its application performance monitoring capabilities:
Real-Time Problem Detection and Anomaly Detection: Splunk APM employs AI-driven algorithms to detect unique patterns and dynamically create baselines, which are crucial for accurately identifying anomalies in real-time. This helps in reducing the mean time to detect (MTTD) and mean time to resolve (MTTR) issues significantly.
AI-Driven Application Alerts: The platform extends its alerting functionality with AI-driven advanced analysis that operates on automatically-generated trace metrics, such as error rates or latency. These alerts are real-time, flexible, and self-configuring, learning and triggering on behavior changes to quickly detect sudden spikes and historical anomalies in services and endpoints.
AI-Guided Insights: Splunk APM provides AI-guided insights to help identify problematic services at a glance. This includes automatically generated indicators that highlight the root cause of issues, whether they are related to infrastructure, code, or business logic.
Streaming Analytics Engine: The platform uses the SignalFlow streaming analytics engine to analyze data in real-time, allowing for immediate detection and alerting of any customer issues.
These AI-driven features enable Splunk APM to provide comprehensive, real-time monitoring and troubleshooting for complex, microservices-based applications.
Is Splunk APM a web3 company?
Not available.
Is there any Web3 components?
Not available.
Splunk APM
By Splunk
