ScienceLogic has acquired AppFirst.
The acquisition included several patented technologies and scale-out data processing capability. Transaction terms were not disclosed.
ScienceLogic plans on releasing the industry’s first converged platform offering later this year. With newly added best in class agent-based analytics and sub-second application data collection, alongside ScienceLogic’s existing discovery and performance visibility, customers will benefit from an entirely new and better way to manage IT.
“We believe that application dependency discovery and management innovation will accelerate Hybrid Cloud production environments within the $23 billion cloud-computing market,” said Dave Link, CEO, ScienceLogic. “As we now embed deep application discovery and analytics capabilities into our Hybrid IT Monitoring platform, organizations for the first time can monitor all business-critical services, including deep application performance, fault and configuration analytics, across their Hybrid IT environments. Our acquisition of AppFirst represents a major leap in ScienceLogic’s sophisticated service assurance capabilities core to helping our customers run their businesses better.”
Customer benefits include:
- Real-time visibility: High Definition Monitoring enables detection of transient problems when they occur, enabling proactive monitoring and better availability. DevOps teams will appreciate enhanced support for dynamic workloads that live for minutes or even seconds covering application containers and virtual services.
- Scale-out architecture: Monitor any technology, any vendor, anywhere. Scale-out, microservices-based architecture ensures the business never misses a metric or log file.
- Enhanced Virtualized Systems support: Visibility across public clouds and converged compute private clouds, provides actionable analytics in environments that are more dynamic in nature
- SaaS enabled: Cloud-neutral and on-prem ready, ScienceLogic can be deployed anywhere and managed in one place. This reduces the cost of monitoring by giving customers the flexibility to determine where and how they wish to run their monitoring platform.
- Application-aware: Provides a complete view of Hybrid IT environments, from the business service down to the automatically correlated infrastructure elements. The result is higher quality service delivery at lower cost.
- Log and network layer analytics: Connecting real-time log and network performance data provides unprecedented visibility into potential service problems, resulting in faster root cause analysis and better proactive monitoring - enabling IT agility in solving problems before they impact the business.
- Automation: Enhanced automation actions from automated provisioning and discovery to corrective actions delivered via smart targeted runbook automation actions.
The Latest
For the first time, a majority of companies are putting mission critical apps in the cloud, according to the latest report by Cloud Foundry Foundation ...
The cloud continues to transform IT in every industry. But in order to migrate to the cloud, embrace these new technologies and truly evolve their business, organizations need an underlying network that can support digital transformation ...
One common infrastructure challenge arises with virtual private networks (VPNs). VPNs have long been relied upon to deliver the network connectivity and security enterprises required at a price they could afford. Organizations still routinely turn to them to provide internal and trusted third-parties with "secure" remote access to isolated networks. However, with the rise in mobile, IoT, multi- and hybrid-cloud, as well as edge computing, traditional enterprise perimeters are extending and becoming blurred ...
The configuration management database (CMDB), along with its more federated companion, the configuration management system (CMS), has been bathed in a deluge of negative opinions from all fronts — industry experts, vendors, and IT professionals. But from what recent EMA research on analytics, ITSM performance and other areas is indicating, those negative views seem to be missing out on a real undercurrent of truth — that CMDB/CMS alignments, whatever their defects, strongly skew to success in terms of overall IT progressiveness and effectiveness ...
The on-demand economy has transformed the way we move around, eat, learn, travel and connect at a massive scale. However, with disruption and big aspirations comes big, complex challenges. To take these challenges head-on, on-demand economy companies are finding new ways to deliver their services and products to an audience with ever-increasing expectations, and that's what we'll look at in this blog ...
To thrive in today's highly competitive digital business landscape, organizations must harness their "digital DNA." In other words, they need to connect all of their systems and databases — including various business applications, devices, big data and any instances of IoT and hybrid cloud environments — so they're accessible and actionable. By integrating all existing components and new technologies, organizations can gain a comprehensive, trusted view of their business functions, thereby enabling more agile deployment processes and ensuring scalable growth and relevance over the long-term ...
Advancements in technology innovation are happening so quickly, the decision of where and when to transform can be a moving target for businesses. When done well, digital transformation improves the customer experience while optimizing operational efficiency. To get there, enterprises must encourage experimentation to overcome organizational obstacles. In other words ...
IoT adoption is growing rapidly, and respondents believe 30% of their company’s revenue two years from now will be due to IoT, according to the new IoT Signals report from Microsoft Corp ...
It's been all over the news the last few months. After two fatal crashes, Boeing was forced to ground its 737. The doomed model is now undergoing extensive testing to get it back into service and production. Large organizations often tell stakeholders that even though all software goes through extensive testing, this type of thing “just happens.” But that is exactly the problem. While the human component of application development and testing won't go away, it can be eased and supplemented by far more efficient and automated methods to proactively determine software health and identify flaws ...
Despite significant investment in AI, many companies are still struggling to stabilize and scale their AI initiatives, according to State of Development and Operations of AI Applications 2019 from Dotscience ...
