![]() Isolate unusual behavior and potential contributing factors within the database. Correlate query response or behavior to system metrics to understand impacts. Compare the performance of your top queries over time. Examine query details and performance, including samples and execution plans. See query responses before and after a deployment event. Get full-stack observability by correlating database metrics with the application performance, distributed tracing, and log monitoring capabilities of SolarWinds Observability.ĭatabase observability simplifies the complexity of managing multi-vendor environments by providing support for databases such as MySQL, PostgreSQL, Microsoft SQL Server, AWS Aurora (PostgreSQL, MySQL), AWS RDS (PostgreSQL, MySQL), MongoDB, MongoDB Atlas, and Redis, so you can: ML-based AIOps and health scores based on golden metrics quickly highlight issues. Get comprehensive visibility into your database instances to help increase system performance and team efficiency while helping ensure infrastructure cost savings. Manage risk with log archiving to ensure the availability of log data for forensic analysis and compliance reporting.ĭatabase observability provides deep performance monitoring to diagnose and analyze issues, using sophisticated root cause analysis.Simplify log management with full-stack, multi-source log aggregation and a single search bar across all event data.Easy setup with wide support for cloud-native and open-source frameworks, as well as third party integrations, lets teams use familiar tools for faster time to value. Real-time log tailing and intuitive search across all log data helps accelerate root cause identification and reduce time spent troubleshooting, so teams have more time to innovate. AI-driven insights via event aggregation and ML-powered analysis of log data across the entire cloud applications, services, and infrastructure stack. Log observability provides scalable, full-stack, multi-source log management, combining wide support, powerful search, AI-driven analytics, and built-in integration with application and infrastructure observability to deliver context-rich intelligence to help teams troubleshoot smarter and faster. Auto-discovery and AI-enabled baselines and metrics provide dynamic infrastructure observability. Wide support for open-source frameworks, as well as third-party integrations delivers easy instrumentation. Aggregation of performance and health data across on-premises, cloud and hybrid IT stacks, entity grouping, and deep integration with log and metric data provides context to performance data and simplifies issue identification and resolution. AI proactively monitors health and performance across on-premises and cloud resources including servers, VMs, hosts, containers, serverless environments, and infrastructure-as-a-service-provided resources to enable proactive performance tuning and issue resolution. With infrastructure observability, you can: Integration with AI-powered analytics and application and log observability combine to deliver context-rich intelligence to help you proactively identify and resolve performance issues. ![]() Infrastructure observability helps ensure the health and performance of on-premises, and cloud-based resources, including physical servers, VMs, hosts, containers, serverless, and cloud service providers. Monitor the availability and health of your commercial applications and databases.Troubleshoot internally written applications down to a poor-performing line of code.Reduce alert fatigue with AIOps-enhanced alerts, along with ML-powered baselining and customized metrics to automatically prioritize and surface real issues with a single view of thresholds exceeded as well as alert integration with major notification providers.Eliminate tool sprawl with a single, fully integrated, full-stack observability offering spanning metrics, traces, and logs, to provide a single interface into every layer of cloud applications.Application observability helps ensure the availability and performance of cloud-native custom applications and microservices while also observing your commercially acquired packaged applications and databases. It combines application performance metrics with distributed tracing and leverages log monitoring capabilities along with AIOps-driven notifications-and supports cloud-native open-source frameworks and third-party integrations. View All Application Management ProductsĬomprehensive application observability for both internally written and commercial applications, to go beyond basic metrics, traces, and logs offerings.View All IT Service Management Products.
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