ScienceLogic Incorporates Acquired AppFirst Technology into Latest Release
March 20, 2017
Share this

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.”

Share this

The Latest

May 25, 2017

According to most industry perceptions, application performance management (APM) and application portfolio management (APM) might seem to be worlds apart — or at best connected by a very thin thread. In this blog, I'd like to highlight three areas that are bridging the APM-to-APM divide: digital experience management, application discovery and dependency mapping (ADDM), and agile/DevOps lifecycle planning ...

May 24, 2017

In today's digital world, it is possible to gauge the cost implications of an IT outage on employee productivity, revenue generation but it is usually much more tricky to measure the negative impacts on the very IT people's lives ...

May 22, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 5 offers some interesting final thoughts ...

May 19, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 4 covers automation and the dynamic IT environment ...

May 18, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 3 covers monitoring and user experience ...

May 17, 2017

APMdigest asked experts across the industry for their opinions on the next steps for ITOA. Part 2 covers visibility and data ...

May 16, 2017

Managing application performance today requires analytics. IT Operations Analytics (ITOA) is often used to augment or built into Application Performance Management solutions to process the massive amounts of metrics coming out of today's IT environment. But today ITOA stands at a crossroads as revolutionary technologies and capabilities are emerging to push it into new realms. So where is ITOA going next? With this question in mind, APMdigest asked experts across the industry — including analysts, consultants and vendors — for their opinions on the next steps for ITOA ...

May 15, 2017

Digital transformation initiatives are more successful when they have buy-in from across the business, according to a new report titled Digital Transformation Trailblazing: A Data-Driven Approach ...

May 11, 2017

The growing market for analytics in IT is one of the more exciting areas to watch in the technology industry. Exciting because of the variety and types of vendor innovation in this area. And exciting as well because our research indicates the adoption of advanced IT analytics supports data sharing and joint decision making in a way that's catalytic for both IT and digital transformation ...

May 10, 2017

Colin Fletcher, Research Director at Gartner, talks about Algorithmic IT Operations (AIOps) and the challenges and recommendations for AIOps adoption ...