Webinar Series: Get to Know Moogsoft Express - AIOps & Observability Solution

Presented by

Adam Frank, Senior Product Manager, Moogsoft

About this talk

You’re a mighty DevOps team that builds and deploys quickly and efficiently. As a cloud-first organization, you pride yourselves on embracing innovations such as software-defined networks, serverless computing, containers, IoT and microservices. But all these new tools and techniques create a challenge: operational complexity. How do you build Continuous Assurance into your CI / CD cycles to avoid outages and keep customers happy? AIOps holds the key. Introducing Moogsoft Express. Built on Moogsoft’s industry-leading AIOps platform, Moogsoft Express is a new AIOps SaaS offering for DevOps teams and SREs. It identifies anomalies from your metrics, and then correlates them in real-time with your event and log data. It helps you detect critical incidents earlier and resolve them faster. To learn more, join our new webinar series about Moogsoft Express. In the first webinar on Nov. 20, we’ll provide an overview about Express and explain its main use cases, including: - Alert noise reduction: Filter out noise, correlate relevant alerts and group them into incidents, to quickly zero in on problems and prevent outages. - Application monitoring: Get the visibility you need to maintain application uptime and meet SLAs by identifying root-cause within your modern and complex applications. - Infrastructure monitoring: Monitor your hybrid, distributed infrastructure with metrics analysis, and anomaly identification and correlation, and slash MTTD and MTTR. - DevOps pipeline monitoring: Prevent, detect and fix issues in your complex and ephemeral CI/CD environments.

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Moogsoft develops AIOps technology that helps enterprise IT Ops and DevOps teams become faster, smarter and more effective. Moogsoft AIOps’ real-time machine learning algorithms help teams remediate issues that impact their customers’ experience by: • Reducing operational noise (alert fatigue) across your production stack • Proactively detecting Incidents and correlating Events across your monitoring ecosystem • Streamlining collaboration and workflow across teams and toolsets • Codifying knowledge to make operators smarter when encountering future Incidents