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LogicMonitor Releases LM Cost Optimization

LogicMonitor unveil the LM Cost Optimization capability in its LM Envision platform.

It unleashes cost optimization and efficiency for cloud operations (CloudOps) and platform engineering teams working in existing and next-generation cloud services. This capability is crucial for business continuity and a competitive edge in an era where any investment and every experience matters.

The key differentiator with LM Envision is the detailed telemetry to help understand which resources are over or underutilized for teams to efficiently manage both cloud and on-premises infrastructure with actionable insights.

"As a company committed to modernization, we're excited to unveil capabilities that level up AI-powered observability," said John Kim, General Manager, Hybrid Observability, LogicMonitor. "Our powerful new LM Cost Optimization and expanded cloud-managed networking coverage offer a complete view for teams struggling with cloud billing clarity. Enterprises can finally anticipate their cloud spend and forecast accurately, which will be essential as they transition in their cloud journeys."

By turning on the capability, LM Cost Optimization enables users to quickly activate cost management features as their infrastructure evolves, reducing or even eliminating the need for additional tools. Key features include:

Multi-cloud spend in a single view

- Cloud Billing simplifies visualizing multi-cloud spend in a single view so users see cost and resource changes, making modifications easy and predictable bills the norm

- Out-of-the-box billing dashboards and filtered tags help users quickly observe detailed cost breakdowns, enabling data-driven decision-making over multi-cloud budgets

Intelligent AI-powered recommendations

- Driven by the LM Envision platform, Cloud Recommendations delivers proactive and reactive cost-savings suggestions around capacity changes, unused resources, and more to ensure cost savings do not result in increased service outages

- This empowers users to make insightful resource utilization decisions that align with business needs, enhancing performance and cloud investment value

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LogicMonitor Releases LM Cost Optimization

LogicMonitor unveil the LM Cost Optimization capability in its LM Envision platform.

It unleashes cost optimization and efficiency for cloud operations (CloudOps) and platform engineering teams working in existing and next-generation cloud services. This capability is crucial for business continuity and a competitive edge in an era where any investment and every experience matters.

The key differentiator with LM Envision is the detailed telemetry to help understand which resources are over or underutilized for teams to efficiently manage both cloud and on-premises infrastructure with actionable insights.

"As a company committed to modernization, we're excited to unveil capabilities that level up AI-powered observability," said John Kim, General Manager, Hybrid Observability, LogicMonitor. "Our powerful new LM Cost Optimization and expanded cloud-managed networking coverage offer a complete view for teams struggling with cloud billing clarity. Enterprises can finally anticipate their cloud spend and forecast accurately, which will be essential as they transition in their cloud journeys."

By turning on the capability, LM Cost Optimization enables users to quickly activate cost management features as their infrastructure evolves, reducing or even eliminating the need for additional tools. Key features include:

Multi-cloud spend in a single view

- Cloud Billing simplifies visualizing multi-cloud spend in a single view so users see cost and resource changes, making modifications easy and predictable bills the norm

- Out-of-the-box billing dashboards and filtered tags help users quickly observe detailed cost breakdowns, enabling data-driven decision-making over multi-cloud budgets

Intelligent AI-powered recommendations

- Driven by the LM Envision platform, Cloud Recommendations delivers proactive and reactive cost-savings suggestions around capacity changes, unused resources, and more to ensure cost savings do not result in increased service outages

- This empowers users to make insightful resource utilization decisions that align with business needs, enhancing performance and cloud investment value

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Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

Enterprise data sprawl already challenges companies' ability to protect and back up their data. Much of this information is never fully secured, leaving organizations vulnerable. Now, as GenAI platforms emerge as yet another environment where enterprise data is consumed, transformed, and created, this fragmentation is set to intensify ...

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