Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring vs Observability: What's the Difference?

Monitoring has never been simple, but there was a time when it was simpler. You had a device you could collect data from; you knew the metrics you needed to monitor, and if something went wrong, you could find the root cause. But as IT becomes increasingly and exponentially more complex, more devices, more environments, more things to monitor, more updates, more data, more everything; monitoring in general needs to grow with it.

Announcing the ServiceNow Service Graph Connector for LogicMonitor

We are pleased to announce another integration with one of our strategic partners, ServiceNow. Available today with the launch of ServiceNow’s Paris release, LogicMonitor supports the Service Graph Connector! LogicMonitor was selected by ServiceNow as a key player and one of the first monitoring platforms invited to this new, exclusive program.

Using Machine Learning for Root Cause Analysis

From a security breach to a complete system outage, when an incident occurs and your network or service is impacted, it’s typically the result of a chain of events. A problem with one service has impacted another service, and so on until finally, you’re facing a problem that’s compromising availability and damaging your customer experience. In the event of a serious incident, your team’s immediate response is to focus on identifying the root cause and restoring service.

The Future of Anomaly Detection

You may be using your log data in a completely wrong way. Today, your business produces more data than ever before, and log data is at the center of all this because it contains the signals of what caused a problem. If your teams have to search for these signals in an ad-hoc manner, then they are wasting their precious time. Nearly every company in existence is dealing with this challenge because it may not have the tools to filter these signals from the noise.

LM Container: Introducing Support for AWS Bottlerocket

Hybrid IT environments enable Enterprises to optimize factors such as performance, cost, agility, and security, but they also introduce complexity. Containers are a great way to reduce some of this complexity by standardizing how applications are developed and deployed.

Best Certifications for IT Professional Careers

The job market for IT professionals right now is challenging. Whether you’re seeking your first job in IT or looking to further your career into a more pronounced and distinguished role, certifications serve as a way to separate from the crowd of applicants. Certifications show a functional level of proficiency, often making them more valuable than college degrees in certain entry-level positions, and just as valuable as years of experience in more established roles.

How MSPs Can Future-Proof Their Business in the Era of Remote Work

The new era of remote work has accelerated the need for businesses to adopt digital transformation strategies faster than ever to ensure their relevance and longevity in the marketplace. As priorities shift in this direction, Managed Service Providers (MSPs) are quickly adapting to better serve their customers. Recently, LogicMonitor commissioned a research study of 500 IT decision-makers around the globe to understand how organizations are evolving in the face of unexpected crises.

Static Thresholds vs. Dynamic Thresholds

IT monitoring is a complex field with several approaches to manage monitoring and alerts. Most of the current monitoring solutions provide Static Threshold-Based alerting, where IT Operations staff are notified when resource utilization breaches the defined threshold. The problem with Static Thresholds is that these are manually adjusted, and tuning it to meet the specific environment and needs of an organization is a major challenge for IT Operations teams.

How We Use Quarkus With Kafka in Our Multi-Tenant SaaS Architecture

At LogicMonitor, we deal primarily with large quantities of time series data. Our backend infrastructure processes billions of metrics, events, and configurations daily. In previous blogs, we discussed our transition from monolith to microservice. We also explained why we chose Quarkus as our microservices framework for our Java-based microservices. In this blog we will cover.