LogicMonitor

Everyone else: “We’re best-in-class!” Us: “We just acquired @Catchpoint and built the first AI platform that actually fixes things.” Observability just got loud: ow.ly/vNUg50XAfVZ

.@Forbes sat down with Christina to talk about reliability amid AI hype, the @Catchpoint opportunity, and how customer focus drives growth. Watch the interview: ow.ly/i07f50Yt11T

Autonomous IT is moving from concept to operating model. In New York at @IBM Innovation Studio, IT leaders got practical about where AI agents can take on triage, correlation, and structured RCA—and where humans stay firmly in control.

Most IT automation is still scripted. It breaks when reality deviates. This six-level maturity model defines what true autonomy looks like, from chat to coordinated agent ecosystems running detection, investigation, and resolution. Read more: ow.ly/F2fi50YrV04

It’s #EmployeeAppreciationDay, and we’re giving a shoutout to the LMers behind our “Best Places to Work” recognition from @BuiltIn. You live our values—Customer Obsessed, Better Every Day, Agility, Trust, and One Team—every day. By the way, we're hiring! #open-positions?utm_medium=organic-social&utm_source=twitter&utm_term=&utm_content=lp&utm_solution=pl&utm_campaign=hO11y&utm_program=ito&utm_type=aw" target="_blank" rel="nofollow noopener">logicmonitor.com/careers#open-p…

Agentic AI will look impressive in pilots, but enterprise rollout is where it gets real: systems, workflows, and governance have to line up. Interoperability is the constraint. Learn more: ow.ly/QT6550YpfIK

When an alert fires, the hardest part is often finding the data you needed 30 seconds ago. Automated Diagnostics captures that evidence the moment the alert triggers, so you can skip the scavenger hunt and get to resolution faster: logicmonitor.com/blog/automated…

Logs only improve RCA when they’re scoped to what matters. This walkthrough shows how Edwin AI targets, clusters, and interprets logs in context, step by step: ow.ly/1gmA50YojcZ

AI workloads introduce unpredictable cloud spend driven by GPU utilization, token pricing, and distributed infrastructure. Learn the hidden cost drivers and what it takes to move from visibility to sustainable control: ow.ly/n8Nu50Ykw3I

Hybrid and multi-cloud monitoring breaks down when signals aren’t tied to customer impact fast enough to act. Tool sprawl and alert noise slow triage and blur which service is affected. A service-first view connects service health to its dependencies: ow.ly/7r8O50Yj4Pp

Turning AI-powered observability into daily practice takes structure. Get that structure at LogicMonitor Ski School, running Mar 8–Apr 3 (virtual, mostly async): ow.ly/eTEk50Yhhhk

AI pilots turn into results when the basics are in place: a real problem, reliable data, and an owner who uses it daily (by Karthik Sj): ow.ly/arc050YexVn

Incident response breaks down when reasoning is scattered across tools/handoffs. Get the step-by-step on agentic, autonomous ITOps that carries context from detection to triage to remediation & feeds learnings back to reduce noise & shorten recovery time.: ow.ly/jXqn50Ye3mL

One outage. One engineer. Handled in eight minutes. Steve Smith, Technology Director at SCC, breaks down how they got there with LogicMonitor. Get the full webinar video on demand in the comments 👇

In 2026, the most critical business negotiations will be system-to-system. 🤖🤝🤖 @LogicMonitor’s Karthik Sj breaks down the "#GPU Reckoning," the rise of the Chief AI Agent Officer, and the shift to deep #observability. vmblog.com/archive/2026/0… #AI #TechTrends #Predictions

Discover the top players in Observability! 🌟 Check out @chirag_mehta’s ShortList: zurl.co/lwaL4 Shoutout to @ciroosai, @datadoghq, @Dynatrace, @elastic, @grafana, @honeycombio, @IBM, @LogicMonitor, @newrelic, @opentext & @Splunk

Monitoring tool sprawl slows incident response by scattering context across systems. It also makes AI recommendations harder to trust when the data isn’t connected. Read more: ow.ly/yh2h50YaQmt

Agentic workflows can go wrong in sequences, not single steps. Governance means clear access rules, execution limits, and escalation paths: ow.ly/heaz50Y9EmN

Happy Groundhog Day! 🦫🎤 You heard it here first — according to Albert the groundhog, it’s officially… summer? 🤣 Clearly, our team might need a quick Groundhog Day refresher, but predicting the future of your IT environment? That’s where we’ve got you covered.

Proof-of-concept won’t tell you how AI behaves when systems get noisy. @wwt_inc’s ATC is built for production-grade testing with controlled failure scenarios. Now Edwin AI is running in the ATC so teams can validate agentic AIOps before it hits prod. ow.ly/jW6250Y6y3Q

I&O automation sounds straightforward until it meets reality: silos, brittle processes, and “one weird exception” that breaks the whole flow. Here’s a clear look at why it’s hard (and how to think about it): ow.ly/McsB50Y5IeG