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
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
