LogicMonitor Hybrid Coverage

Hybrid observability powered by AI

Metrics

LM APM makes it possible for you to monitor application performance metrics more easily, via:

Push Metrics API and SDK that you can use to send metrics to directly to LogicMonitor without any dependency on a Collector. Once the Push Metrics are ingested, the Push Metrics and the other metrics collated by LogicMonitor, provide a single platform for metric monitoring and alerting. For more information, see Getting Started with Push Metrics.
OpenMetrics Integration for monitoring OpenMetrics-formatted data, including metrics in the Prometheus exposition format.

LM APM provides Distributed Tracing via an OpenTelemetry integration that allows you to forward trace data from instrumented applications and monitor the end-to-end requests as they flow through the distributed services in your environment. These application traces are displayed in the Traces page alongside relevant metrics and contextual logs.

LM APM uses emulation or scripted recordings of user interaction or transactions to create automated tests. These tests simulate a critical end user pathway or interaction on a website or web application. The results of these tests give early insight into the quality of the end user experience by reporting metrics on availability and latency, and identifying potential issues.

EventSources define monitoring and alerting activity for non-numeric event-based data. An EventSource is a definition that tells your Collector what information will be collected or received, what device(s) the information will be collected or received from, and when alerts should be triggered on that information.
There are two types of EventSources:
EventSources that monitor asynchronous event messages received by the Collector
EventSources that actively monitor event logs or log files for the presence of specific events

Eliminate context switching by correlating relevant logs with metrics in a single platform with over 3,000 integrations.
Identify unusual events in your log data that don’t conform to normal expected patterns so you can catch issues before they escalate into more severe events.
Instantly visualize and filter errors with AI—no queries or training needed. Prioritize and resolve critical issues faster.
Get more flexibility into how log alerts are generated and cleared. Customize log alert conditions based on log events and log pipelines to send a notification when a certain log event or anomaly occurs.

LogicMonitor’s topology mapping capabilities are focused on layer 2 and layer 3 mappings. Specifically, the LogicMonitor platform leverages Link Layer Discovery Protocol (LLDP), Cisco Discovery Protocol (CDP), Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), and Enhanced Interior Gateway Routing Protocol (EIGRP) to dynamically generate network topology maps that show how data flows among the many resources (switches, hosts, firewalls, routers, and other network components) in your environment.

LogicMonitor’s configuration monitoring allows you to view, monitor, manage and alert on device configurations all within a single platform. Correlate configuration file monitoring and storage with infrastructure performance across networks, data centers and customer locations.

Comprehensive infrastructure monitoring with contextual visibility into your ever-expanding and dynamic IT landscape. Experience predictive insights and intelligent troubleshooting to drive efficiency, increase productivity, and reduce risk for maximum enterprise growth and transformation.

Cloud infrastructure has grown to be a ubiquitous part of the modern software industry. This is an amazing growth when you realize that Amazon did not announce Amazon Web Services, starting with Elastic Cloud Computing (EC2), until 2006. In under 15 years, a fledgling software infrastructure concept has grown to be an over $225 billion (USD) industry. This information comes before the current atmosphere has driven more companies to quickly adapt and accelerate their timelines to move to the cloud.

Save time, money and resources by utilizing IT automation to programmatically eliminate redundant manual IT tasks.

Intelligent observability for modern applications – contextually bring together traces, metrics, and synthetics.