Proactive response
Engineering teams need observability tools that provide a single source of truth, enable them to share best practices across the org, and help them collaborate to minimize MTTR. They need to be able to confidently identify which sources of latency, errors, or anomalies impact services, workflows, and customers the most. At the same time, platform engineers need to monitor and maintain access and cost control of these observability tools so that everyone operates within budget. They also want to be able to monitor their entire hybrid-cloud landscape with a single platform.
With Splunk APM and Splunk Infrastructure Monitoring, engineering teams can use their existing logs alongside metrics and traces to get a single view of their entire hybrid cloud environment, connect infrastructure and application telemetry data to business metrics in order to prioritize issues, and cut through the complexity of large-scale cloud-native environments to isolate root-cause. In addition, built-in usage and access controls help enterprises meet their budget and data security requirements.
When unusual changes or anomalies in applications or infrastructure have been identified, Splunk On-Call is used to route incidents to the appropriate developers and site reliability engineers (SREs) - sending incidents to the right people at the right time.
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Application performance monitoring
Splunk APM is the most advanced application performance monitoring and troubleshooting solution for cloud-native, microservices-based applications. With open and flexible instrumentation, NoSample™ full-fidelity tracing, collecting 100 percent of traces, a highly scalable streaming architecture, and powerful AI-driven directed troubleshooting, engineering teams can quickly and easily find the root cause of any issue. Splunk APM empowers your teams to:
- Improve the user experience. By ingesting all traces, Splunk APM ensures that no anomaly goes undetected, so issues are alerted on before they affect customers.
- Accelerate developer productivity. AI-driven directed troubleshooting can quickly isolate traces and surface patterns that help SREs and developers pinpoint problems that impact the user experience and overall application performance.
- Future-proof applications. With open standards such as OpenTelemetry, Splunk Microservices APM helps you free your code from the constraints of any single vendor, enabling you to use the languages and frameworks that work best for you.
Infrastructure monitoring
Splunk Infrastructure Monitoring provides SREs and developers quick time to value with extensive, out-of-the-box integrations for automatic service discovery and pre-built dashboards so they can start monitoring in minutes for standard and custom metrics. It makes use of a real-time streaming architecture that massively scales with high resolution, full-fidelity data capabilities that powers instant, AI-driven analytics to reduce noise and fatigue. With customizable notifications and integrated workflows, Splunk Infrastructure Monitoring offers a comprehensive view of the entire technology stack at a glance, to intelligently pivot users to active alerts and drill down on instances with no dead end investigations. With quick time to resolution in isolating problems above the noise, we ensure service reliability of workloads in the cloud and optimize on business performance.
Automated incident response
Splunk On-Call helps you to identify the person with the right experience and expertise to work on any incident, and streamline on-call schedules and escalations. Use historical insights and audit trails for better active incident resolution, adding context to incidents and using resources like runbooks, articles and dashboards to help responders triage and resolve incidents faster.
Machine learning in Splunk ITSI
Explore proactive response
- Application monitoring
- Splunk APM insights and observations provide the ability to quickly identify root causes and drive improvements of release frequencies, MTTD, MTTR, and service availability, resulting in incremental business and customer value.
- Assessing the financial impact of eCommerce checkout errors
- Creating SLOs and tracking error budgets with SignalFlow
- Optimizing performance in canary development environments with Splunk APM's custom MetricSets
- Prescriptive Adoption Motion - Application Monitoring
- Troubleshooting a service latency issue related to a database query
- Troubleshooting code bottlenecks
- Troubleshooting database performance
- Using OpenTelemetry annotations to lower MTTR
- Infrastructure monitoring
- You can use Splunk Infrastructure Monitoring to observe system metrics for physical and virtual components across enterprise hybrid and multi-cloud environments.
- Deploying and troubleshooting OpenTelemetry successfully
- Gaining better visibility into ServiceNow instances in ITSI
- Identifying DNS reliability and latency issues
- Maintaining *nix systems with Infrastructure Monitoring
- Maintaining Microsoft Windows systems with Infrastructure Monitoring
- Monitoring AWS Elastic Compute Cloud using Splunk Infrastructure Monitoring
- Monitoring AWS Fargate deployments powered by Graviton2 processors
- Monitoring AWS Lambda functions
- Monitoring AWS Lambda infrastructure
- Monitoring AWS Relational Database Services
- Monitoring Kubernetes pods
- Monitoring SAP instance service health
- Monitoring Snowflake database usage
- Monitoring workloads across AWS services
- Prescriptive Adoption Motion - Infrastructure Monitoring
- Using Kafka to monitor at scale
- Using OpenTelemetry processors to change collected backend data