What is Infrastructure Monitoring and How Does It Work? Q/A with LogicMonitor

Roberto Popolizio Roberto Popolizio

Cloud computing offers many benefits over traditional data centers, so widespread adoption is an easy choice for many enterprises. However, there are some inherent security challenges that come with the cloud. In fact, cloud computing requires continuous oversight of its technology stack to ensure all business services run smoothly and safely across multiple platforms, which is why many businesses are spending over $1 billion in antivirus programs and infrastructure monitoring platforms.

In this interview, with help from the experts at LogicMonitor, we will give you a brief but comprehensive overview of what infrastructure monitoring means, how useful it is, and some tips to consider in order to implement it efficiently in your organization.

So read on if you want to understand how infrastructure monitoring works, and how to choose the right tools to avoid the common challenges.

Please present LogicMonitor to our audience. What services do you offer and how have you evolved over the years?

LogicMonitor provides enterprises the resiliency and observability their IT teams need to proactively address potential problems, create great customer experiences, and ensure employee productivity.

Through our SaaS-based unified observability platform, LM Envision, we provide granular visibility into resources, services and applications across infrastructure – whether it’s in the cloud or on-premises. The unified view of hybrid environments allows IT and DevOps teams to resolve issues quickly and optimize cloud and infrastructure spend. With LogicMonitor’s automated device and resource discovery, agentless architecture, preconfigured alert thresholds and customizable dashboards, IT teams can move with the speed and agility required to innovate in today’s competitive markets.

As a part of our platform, LogicMonitor Logs stands out among direct competitors as the only solution to offer unlimited logs retention to meet customer storage needs, allowing LogicMonitor to compete more directly with larger providers.

What is infrastructure monitoring exactly?

Infrastructure monitoring provides visibility into resources, services and applications across all infrastructure, and the data collected helps monitor the overall health of an organization. Having this visibility equips IT managers with the tools necessary to access mission-critical data, metrics, logs and traces from across the organization in one single pane of glass. This also means that engineers and IT teams can spend more time fostering innovation and less time on rote tasks and troubleshooting.

What kind of problems can be detected through infrastructure monitoring?

Through a SaaS-based monitoring and observability platform, enterprises can monitor the potential threat of IT outages. They will have an eye on any and all possible obstacles that could interfere with the business and, more importantly, have procedures in place to solve them while minimizing or avoiding downtime.

SaaS-based products are the future of modern business, and LogicMonitor represents the future of monitoring and observability solutions. In the coming years, every company will shift to providing at least some component of their product or service through SaaS. LogicMonitor’s successful foray into bridging the gap between traditional and modern organizations through its SaaS-based offering has positive implications for SaaS at large.

What are the Challenges of Infrastructure Monitoring that your tool helps solve?

Our platform, LM Envision, can address the following challenges of Infrastructure Monitoring:

  • Tool Sprawl: Single tool to cover the variety and depth of data across various technologies used in the modern hybrid IT infrastructure
  • Complexity & Time to Value (TTV): Quick TTV leveraging auto discovery, agentless collection and integrated workflows
  • Root Cause Analysis (RCA) & Troubleshooting: Leveraging the variety of data such as topology, logs and traces, as well as AIOps, to aid in RCA and minimize alert noise

Can you also share the best practices to get the most out of any infrastructure monitoring process?

In partnership with infrastructure monitoring, enterprises must have Crisis and Business continuity planning in place. The “best in class” businesses have a continuity planning framework in place to adapt quickly in the face of adversity. This has become especially important with the shift to digital business and hybrid workforces which have added layers of new complexity to IT environments.

Apart from your products, what would you suggest to anyone trying to improve their data protection?

I would advise businesses to have the appropriate backup/replication processes in place to ensure availability of data in case of failures in the applications and infrastructure supporting the platform. In addition, one should also have appropriate mechanisms for managing the lifecycle of the data based on contractual needs.

Lastly, any exciting new updates or developments that you would like to share?

In June, LogicMonitor opened a new Research and Development Center in Pune, India. The team in Pune has been instrumental in developing LM Envision, along with working towards enhancing capabilities across infrastructure, cloud, containers, applications and logs. LogicMonitor is also investing in AIOps and creating a platform intelligent enough to automatically understand the hidden patterns and behaviors within IT data. A platform that we hope in the near future will be able to predict when anomalies will occur and assemble corrective actions.

About the Author

About the Author

With over 13 years of experience in managing digital publications, Roberto has coordinated over 5000 interviews with the biggest names in cybersecurity, AI, cloud technology, and SaaS. Using his knack for communications and a growing network of cybersecurity leaders, he provides newbies and experts alike with beyond-the-fluff online privacy tips, and insider perspectives on the ever-evolving tech world.

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