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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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...