Lightning-fast monitoring for even the most ephemeral resources. Get visibility into your containerized applications alongside your hybrid IT infrastructure in a single monitoring platform that scales with you. LogicMonitor automatically detects and monitors containers as they change, understands when they disappear, and retains performance data about the nature of the container.
Rapidly deploy dynamic container monitoring
Save time with container monitoring you can trust. LogicMonitor automatically discovers containers, microservices, and underlying resources. Identify and solve issues quickly and precisely. LogicMonitor’s container monitoring provides insight into application performance and health, container components, and their underlying resources.
Hybrid monitoring to correlate containers with on-premise infrastructure
As businesses modernize and refactor workloads in the cloud, container use becomes increasingly valuable.
- LogicMonitor presents container insights alongside your organization’s existing monitored hybrid infrastructure in a single unified monitoring platform for visibility across operations teams.
- Gain insights at the service level over containers to monitor, visualize, and alert on aggregate service level data for holistic business information.
Keep your containerized applications healthy
Organizations need insights into the performance of applications that are running in containers, as well as the health of the underlying container resources and orchestration components.
- LogicMonitor presents insights alongside your organization’s existing monitored hybrid infrastructure in a single, unified monitoring platform.
- Focus on the health and performance of the overall service, regardless of changes in underlying resource at both the cluster and application levels
- LogicMonitor retains data about the performance of the service or application that runs in the container for historical knowledge about container health.
Monitor and track dynamic services and ephemeral resources
Containers and pods are ephemeral resources. It’s difficult to monitor components that may appear (and disappear) quickly and unpredictably. To accurately track ephemeral resources, LogicMonitor employs event-based discovery.
- Cluster resources are automatically added and removed from monitoring based on Kubernetes events or changes in microservices.
- Dynamically group together containers and other ephemeral resources supporting common microservices.
Event-based Kubernetes monitoring: a new level of clarity
Event-based Kubernetes monitoring eliminates the most common challenges of monitoring ephemeral resources by:
- Automatically adding and removing cluster resources including nodes, pods, and services
- Eliminating the need to deploy an agent on every node
- Providing insights on underutilized resources to optimize CPU, memory, and more
- Storing data for up to two years
Identify performance trends
Maintaining data continuity with the complexity of modern applications is challenging.
LogicMonitor uses data across resources supporting a common application to provide long-term views into how that application performs over time.
- Key performance indicators are aggregated across grouped resources to provide monitoring for the health and performance of the service as a whole.
- LogicMonitor offers intelligent contextual alerting so you can see what matters, solve problems quickly, and remove alert storm distractions.
- LogicMonitor proactively alerts you when a container isn’t performing optimally through pre-built or dynamic thresholds.
See our reviews
Simple Effective Event Log and Resource Monitoring/Alerting tool
LogicMonitor is used by our organization to actively monitor servers and cloud infrastructure for both events and resource utilization. Our main objective is to use the tool to detect and alert IT staff of anomalies or other potential downtime that could impact our customers and employees. LogicMonitor is currently deployed to key infrastructures such as VM hosts, domain controllers, critical servers, and Azure resources such as VMs, Frontdoor, Kubernetes, etc.
Nov 21, 2022
LogicMonitor has been a homerun!
LogicMonitor is great for organizations needing to get better visibility into their IT Operations and those needing to reduce workloads so that their IT teams can focus on more strategic projects.
Jul 01, 2022
LogicMonitor: Highly Recommended
LogicMonitor replaced the others because it provides better value for us: it is more effective, reliable and efficient at delivering functionality.
Jun 28, 2022
LogicMonitor makes container monitoring easy
Benefits of monitoring your containers with LogicMonitor include:
Frequent and recurring discovery attempts ensure that your monitoring is always up to date. Metadata is automatically populated during discovery, to give you the contextual information you need when viewing and managing monitored resources.
Get long-term views into how a group of resources supporting a common application are performing and correlate performance trends with events.
Pre-configured alert thresholds ensure that you receive meaningful alerts right away to help proactively prevent downtime.
Dynamic grouping for resources supporting a common service makes it simpler to manage and schedule downtime for those resources. LM Container Helm charts allow you to install all the services necessary to monitor your Kubernetes cluster.
Out-of-the-box dashboards provide immediate insights to help you identify how you can optimize your cluster.
Identify trends and forecast utilization over time. LogicMonitor tracks, monitors, and alerts on containers and microservices, and retains data for up to two years.
Using LogicMonitor’s AIOps Early Warning System and preconfigured container integrations, alert thresholds will keep your inbox from being over-alerted on container notifications. Easily distinguish service-impacting alerts from non-service impacting alerts, and reduce how often you get woken up in the middle of the night. Streamline troubleshooting and proactively prevent issues with these AI-based features:
-Automatically surface anomalies and get precise root cause analysis for business-impacting issues.
-Ensure your teams only receive alerts for the issues that matter with dynamic thresholds tuned to your environment.
-Predict future trends and plan utilization with advanced forecasting and longer data retention.
-Visualize dependencies with dynamic topology mapping
Application performance monitoring
Monitor all of your applications running in containers, all from one unified o11y platform, allowing you to see see the health of both applications and containers. Troubleshoot and deploy faster than ever!
Containers are one part of the larger tech stack of an entire infrastructure. Instead of having to switch between services, LogicMonitor not only monitors containers and applications all in one place, but also monitors your entire infrastructure. From network to configuration to cloud and everything in between, LogicMonitor is the unified monitoring platform.
LM Logs uses sophisticated algorithms and AIOps capabilities to automate log analysis for K8 environments in the same pane of glass as performance monitoring. Automatically analyze log data and surface anomalies for faster troubleshooting of complex environments. Reduce MTTR by correlating monitoring alerts to relevant log data. Save time by eliminating the need to context switch between monitoring and log management platforms.
We have integrated LM into our everyday work. The app is the first thing we look at in the morning, all our team members keep at least one of the customizable dashboards on their desktops at all times.
Sean F., Infrastructure Manager CDK Global
Microservice and Container Monitoring FAQs
- What are microservices
Microservices are an architectural approach to development that is composed of small, individual services that can be built and work on their own, but can be added together for faster development. Microservices are autonomous, allowing each service to work functionally on it’s own.
- What are containers
Containers are bundled packages of software that contain all of the necessary elements to function. A container can house one microservice and the libraries and tools needed for it to function, as well as house multiple microservices together for an entire application to run.
- What are ephemeral containers?
Ephemeral containers a kind of Kubernetes container that temporarily runs in a pod, and can spin up as necessary, which are used primarily for troubleshooting workloads.
Networking and Kubernetes: A Layered Approach
Explore the latest networking trends, delve into the intricacies of Linux networking, and come to understand the challenges of deploying containerized applications in cloud networks.
The Comprehensive Kubernetes Glossary
If you’re working with Kubernetes and the thought of searching for each new term you come across seems exhausting, you’ve come to the right place! This glossary is a comprehensive list of Kubernetes terminology in alphabetical order.
container monitoring / 08.08.23Learn More