Observing
Machinery
System Monitoring
Tracing
Workload analysis balances performance across servers, preventing overburdening and enhancing efficiency.
Resource utilization, including CPU, memory, disk I/O, and network usage, is tracked to prevent bottlenecks and optimize resources. Additionally, collecting and analyzing data from various devices and sensors ensures data storage, security, and reliability, maintaining overall system integrity and performance.
Tracking response times ensures transactions and dialogues stay within acceptable ranges, highlighting performance concerns early.
AI Language
Artificial Intelligence Technology
Applicare is a technology powered by artificial intelligence. It employs Causal AI pinpoint factors influencing performance and availability, ultimately zeroing in on the root cause. By analyzing cause-and-effect relationships, it goes further to identify solutions for current or potential issues.
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AIOps
Applicare AIOps refers to the integration of artificial intelligence (AI) and machine learning (ML) techniques aimed at enhancing and managing different facets of IT operations and infrastructure. By leveraging big data, analytics, and automation, Applicare AIOps improves the scalability and efficiency of IT functions.
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AI Usage
Applicare leverages AI technology to identify issues at the code, infra and every level. In today's world of rapid technological advancements, artificial intelligence simplifies the task at hand. In this context, AI is utilized in machine learning, analyzing large datasets to facilitate optimal decision-making.
What We Ensure
Eliminates holes in monitoring as well as providing solution at scale
Applicare ensures comprehensive and effective monitoring of all components within an infrastructure as well as dealing with large-scale operations effectively. We can handle the demands of a growing technology ecosystem.
Data generated by AI assists you to prioritize results rather than fake positives.
Applicare is all about making a difference. We use our AI technology to find issues and give solutions rather than focusing on false positives or predictions.
Utilize automatic context and correlation to save time.
Automating context and causation not only just save time but also enhances the effectiveness of IT operations management. It allows faster problem resolution and proactive management of infrastructure health.
