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ScienceLogic Incorporates Acquired AppFirst Technology into Latest Release

ScienceLogic announced a new release of its software platform, the first release to incorporate technology from the company’s acquisition of AppFirst in August 2016.

ScienceLogic customers can now discover, monitor, and alert on transient IT infrastructure components that support modern application designs.

“We’ve seen a paradigm shift in our industry towards microservice-based applications,” said Dave Link, CEO, ScienceLogic. “It presents significant challenges for IT staff responsible for ensuring service delivery. Virtual machines and application processes are automatically provisioned and de-provisioned so fast that they’re never detected or monitored. This makes service assurance a daunting task.”

To meet this challenge, ScienceLogic has introduced lightweight agent technology. The agents allow for automated discovery of short-lived compute instances, providing support for virtually any type of elastic or microservice-based application, without the need for third party API integration. This means better service assurance coverage for the next wave of dynamic applications.

“Real service assurance for modern applications is now a reality, by combining agent and agentless monitoring technologies in a single unified platform,” said Link. “The core platform is agentless, which means significantly less administrative overhead. But when customers require the collection of incredibly granular metrics in specific situations, ScienceLogic can accommodate their needs.”

ScienceLogic’s new agent technology also allows customers to monitor and analyze log data that often holds the key to pinpointing the cause of application and infrastructure performance issues.

Other highlights of the release include:

- Agent-Based Monitoring: ScienceLogic’s lightweight, patented agent technology allows customers to discover and monitor short lived IT workloads that would be missed with traditional poll-based techniques. No agent configuration files are required and everything can be managed from one central location.

- Log Analytics: ScienceLogic can generate actionable events directly from collected and filtered log events, with one log policy driving multiple event policies. Includes support for Linux OS log collection (RedHat, Oracle, Ubuntu, and Debian) as well as Windows local and event log collection (Windows 2008, 2012, Windows 7 and 8)

- Advanced Azure Cloud Assurance: ScienceLogic has expanded its coverage of Microsoft’s cloud with the ability to discover regions, resource groups, VMs, storage, virtual networks, Active Directory, Traffic Manager, and SQL databases in Azure environments. Customers may also view services grouped by region. Includes support for Azure Classic 3.4 and Azure Resource Manager (ARM).

- Scalable Platform Automation: ScienceLogic has increased scalability of its Runbook Automation engine by up to 500%. This means customers can now automate more workflows and reduce or even eliminate the cost of manually remediating and acknowledging IT performance issues.

“Many IT organizations are challenged with the ever increasing demand for more agile and higher quality service delivery at a lower cost,” said Link. “In response, we’re excited to offer our customers new capabilities that allow them to deliver on this goal.”

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ScienceLogic Incorporates Acquired AppFirst Technology into Latest Release

ScienceLogic announced a new release of its software platform, the first release to incorporate technology from the company’s acquisition of AppFirst in August 2016.

ScienceLogic customers can now discover, monitor, and alert on transient IT infrastructure components that support modern application designs.

“We’ve seen a paradigm shift in our industry towards microservice-based applications,” said Dave Link, CEO, ScienceLogic. “It presents significant challenges for IT staff responsible for ensuring service delivery. Virtual machines and application processes are automatically provisioned and de-provisioned so fast that they’re never detected or monitored. This makes service assurance a daunting task.”

To meet this challenge, ScienceLogic has introduced lightweight agent technology. The agents allow for automated discovery of short-lived compute instances, providing support for virtually any type of elastic or microservice-based application, without the need for third party API integration. This means better service assurance coverage for the next wave of dynamic applications.

“Real service assurance for modern applications is now a reality, by combining agent and agentless monitoring technologies in a single unified platform,” said Link. “The core platform is agentless, which means significantly less administrative overhead. But when customers require the collection of incredibly granular metrics in specific situations, ScienceLogic can accommodate their needs.”

ScienceLogic’s new agent technology also allows customers to monitor and analyze log data that often holds the key to pinpointing the cause of application and infrastructure performance issues.

Other highlights of the release include:

- Agent-Based Monitoring: ScienceLogic’s lightweight, patented agent technology allows customers to discover and monitor short lived IT workloads that would be missed with traditional poll-based techniques. No agent configuration files are required and everything can be managed from one central location.

- Log Analytics: ScienceLogic can generate actionable events directly from collected and filtered log events, with one log policy driving multiple event policies. Includes support for Linux OS log collection (RedHat, Oracle, Ubuntu, and Debian) as well as Windows local and event log collection (Windows 2008, 2012, Windows 7 and 8)

- Advanced Azure Cloud Assurance: ScienceLogic has expanded its coverage of Microsoft’s cloud with the ability to discover regions, resource groups, VMs, storage, virtual networks, Active Directory, Traffic Manager, and SQL databases in Azure environments. Customers may also view services grouped by region. Includes support for Azure Classic 3.4 and Azure Resource Manager (ARM).

- Scalable Platform Automation: ScienceLogic has increased scalability of its Runbook Automation engine by up to 500%. This means customers can now automate more workflows and reduce or even eliminate the cost of manually remediating and acknowledging IT performance issues.

“Many IT organizations are challenged with the ever increasing demand for more agile and higher quality service delivery at a lower cost,” said Link. “In response, we’re excited to offer our customers new capabilities that allow them to deliver on this goal.”

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A major architectural shift is underway across enterprise networks, according to a new global study from Cisco. As AI assistants, agents, and data-driven workloads reshape how work gets done, they're creating faster, more dynamic, more latency-sensitive, and more complex network traffic. Combined with the ubiquity of connected devices, 24/7 uptime demands, and intensifying security threats, these shifts are driving infrastructure to adapt and evolve ...

Image
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The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration. This wasn't an isolated incident ... So why are these failures still happening? ...

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

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? ...