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ScienceLogic Rolls Out Monitoring and Dependency Mapping for IBM SoftLayer

ScienceLogic announced complete monitoring and dependency mapping for IBM SoftLayer.

ScienceLogic gives customers a single monitoring view across multiple cloud providers including Amazon Web Services (AWS), Microsoft Azure, VMware vCloud Air, in addition to all on-premises IT elements.

ScienceLogic gives customers a total view of their SoftLayer cloud, before, during, and after transition to the cloud. Additionally, customers can:

- Discover infrastructure elements placed in SoftLayer, including account, region, datacenter, virtual, and bare metal servers, networks, load balancers, and storage

- Visually map the relationships between them automatically in real time

- Monitor availability of compute and storage resources

- Create real-time dashboards showing availability and performance of compute, storage, and other resources in SoftLayer

- Monitor virtual server performance (CPU, memory, disk usage)

- Collect detail on load balancer and bare metal server configuration and status

- Collect and manage events from all SoftLayer elements

- Track spending with a summary of your account invoice

- View interdependency of resources across multiple public and private clouds

“Our customers have globally distributed infrastructures and we have seen their need to leverage multiple cloud providers grow over time,” said Dave Link, CEO ScienceLogic. “They need a simple, consolidated way to evaluate the performance of these investments, control costs and address service delivery challenges common to globally distributed infrastructures. In addition to those other leading cloud platforms we support, it made perfect sense to add IBM SoftLayer to the list.”

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ScienceLogic Rolls Out Monitoring and Dependency Mapping for IBM SoftLayer

ScienceLogic announced complete monitoring and dependency mapping for IBM SoftLayer.

ScienceLogic gives customers a single monitoring view across multiple cloud providers including Amazon Web Services (AWS), Microsoft Azure, VMware vCloud Air, in addition to all on-premises IT elements.

ScienceLogic gives customers a total view of their SoftLayer cloud, before, during, and after transition to the cloud. Additionally, customers can:

- Discover infrastructure elements placed in SoftLayer, including account, region, datacenter, virtual, and bare metal servers, networks, load balancers, and storage

- Visually map the relationships between them automatically in real time

- Monitor availability of compute and storage resources

- Create real-time dashboards showing availability and performance of compute, storage, and other resources in SoftLayer

- Monitor virtual server performance (CPU, memory, disk usage)

- Collect detail on load balancer and bare metal server configuration and status

- Collect and manage events from all SoftLayer elements

- Track spending with a summary of your account invoice

- View interdependency of resources across multiple public and private clouds

“Our customers have globally distributed infrastructures and we have seen their need to leverage multiple cloud providers grow over time,” said Dave Link, CEO ScienceLogic. “They need a simple, consolidated way to evaluate the performance of these investments, control costs and address service delivery challenges common to globally distributed infrastructures. In addition to those other leading cloud platforms we support, it made perfect sense to add IBM SoftLayer to the list.”

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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 ...