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ScienceLogic Debuts CloudMapper

ScienceLogic released CloudMapper, permitting organizations to monitor and visualize their off-premise, Amazon Web Services (AWS) resources.

Nearly every enterprise on earth uses AWS in some capacity. One of every three applications hosted in the world resides on AWS, it contains half-a-million Linux servers and growing, and it adds more storage capacity every 24 hours today than in all of 2005.

With CloudMapper, enterprise AWS users can simply access an IT monitoring platform on AWS that provides them full IT performance visibility across all Amazon assets.

CloudMapper benefits include:

- Unprecedented Visibility into AWS Cloud Infrastructure

Covering virtually every Amazon service offering currently available. For AWS instances, operating system and software applications, visibility is provided in an agent or agent less model.

Enterprises are primarily concerned with operating system and application health, but historically all they can see from AWS native reporting are rudimentary server infrastructure performance and availability metrics.

CloudMapper closes that critical gap. Enterprises can view AWS asset performance just like it’s in their own data center.

- Dynamic and Visual Linkage

IT operations can now, for the first time, literally ‘see’ the critical interdependencies across all application assets in and out of the cloud workloads, on one screen. With this level of in-depth visibility, enterprises can immediately remediate issues that can cripple application performance

IT operations can see where all workloads are physically running—across the cloud—and how they are connected to one another as they change, and how they depend on each other, helping to mitigate risk during a natural disaster or technical outages.

Enterprises can finally address cloud sprawl across the many AWS accounts, zones, regions, and services, making it simple to ‘see’ where resources are needed, where they need to be cut back, and immediately see the impact of changes made.

- Instant Access to Cloud Monitoring

You provide your Amazon credentials, the dashboard goes live. Why it matters? A major breakthrough in how IT monitoring functionality is purchased and provisioned.

- Simplified Benchmarking

Enterprises to date have been reluctant to move a larger share of their application assets to AWS, not only based on cost, visibility, and security, but also lack of visibility into configuration, performance, and reliability. With ScienceLogic CloudMapper in place, enterprises for the first time can readily determine risk levels and AWS investment ROI.

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ScienceLogic Debuts CloudMapper

ScienceLogic released CloudMapper, permitting organizations to monitor and visualize their off-premise, Amazon Web Services (AWS) resources.

Nearly every enterprise on earth uses AWS in some capacity. One of every three applications hosted in the world resides on AWS, it contains half-a-million Linux servers and growing, and it adds more storage capacity every 24 hours today than in all of 2005.

With CloudMapper, enterprise AWS users can simply access an IT monitoring platform on AWS that provides them full IT performance visibility across all Amazon assets.

CloudMapper benefits include:

- Unprecedented Visibility into AWS Cloud Infrastructure

Covering virtually every Amazon service offering currently available. For AWS instances, operating system and software applications, visibility is provided in an agent or agent less model.

Enterprises are primarily concerned with operating system and application health, but historically all they can see from AWS native reporting are rudimentary server infrastructure performance and availability metrics.

CloudMapper closes that critical gap. Enterprises can view AWS asset performance just like it’s in their own data center.

- Dynamic and Visual Linkage

IT operations can now, for the first time, literally ‘see’ the critical interdependencies across all application assets in and out of the cloud workloads, on one screen. With this level of in-depth visibility, enterprises can immediately remediate issues that can cripple application performance

IT operations can see where all workloads are physically running—across the cloud—and how they are connected to one another as they change, and how they depend on each other, helping to mitigate risk during a natural disaster or technical outages.

Enterprises can finally address cloud sprawl across the many AWS accounts, zones, regions, and services, making it simple to ‘see’ where resources are needed, where they need to be cut back, and immediately see the impact of changes made.

- Instant Access to Cloud Monitoring

You provide your Amazon credentials, the dashboard goes live. Why it matters? A major breakthrough in how IT monitoring functionality is purchased and provisioned.

- Simplified Benchmarking

Enterprises to date have been reluctant to move a larger share of their application assets to AWS, not only based on cost, visibility, and security, but also lack of visibility into configuration, performance, and reliability. With ScienceLogic CloudMapper in place, enterprises for the first time can readily determine risk levels and AWS investment ROI.

The Latest

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...