Charles Lee
Hyperic Co-Founder & Product Manager
Charles Lee was a co-founder of Hyperic, before Hyperic was acquired by SpringSource. Prior to co-founding Hyperic, Lee was a senior software engineer at Covalent. There, he built Covalent's configuration management product for Apache (CMP), and he spearheaded and architected the application management software (CAM), which later became Hyperic HQ.
Before Covalent, Lee developed a document management system for retail store build-outs based on open-source technology at WiseConnect. Lee also held senior engineering position at Hewlett-Packard, where he was instrumental in developing print drivers for network LaserJets for the Asian market, as well as developing the UI framework used for LaserJet drivers for all markets. Lee also developed the first GUI printer configuration framework for AutoCAD while a senior engineer at Autodesk. Lee was an early engineer at Backflip, where he created the document publishing system for the website based on mod_perl.
Lee is now product manager of several products, including Hyperic, Cloud Foundry, and Spring Insight.
Presentations
Keeping Up with Constantly Changing IT Environments
Today's IT infrastructure undergoes constant change due to technology shifts, cost, scalability, and complexity. This session will cover the features of Hyperic HQ specially designed to handle the high frequency of change, including its broad and extensible support of technologies, powerful auto-discovery, real-time change detection, global resource type templates, events and alerts generation, and scriptable web services API that automate inventory management.
Session Detail
Operations Intelligence: Learn More from Your Performance Data
Hyperic HQ collects more application performance metrics and provides more coverage for the entire web infrastructure stack than any other systems monitoring software. HQ's metric data keeps IT infrastructures running smoothly with real-time alerts and on-the-fly analysis for root cause resolution. However, when context is applied to the data, you gain an insight into the performance data that helps operations and business users to analyze, evaluate, plan, act, and make strategic decisions. This session will present different usage scenarios and environments and walk through how Hyperic IQ can apply intelligence to the abundance of application performance data from HQ. We will be looking at a number of IQ's built-in report templates that can easily be adapted to your environment.
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Faster Time to Value through Cloud Computing
Cloud computing is the biggest IT trend in a decade. The promise of cost and time savings are not obvious nor easily realized. We will present cloud deployment strategies for Java web applications using a number of SpringSource products that dramatically compresses the application lifecycle and help you run and manage cloud deployments successfully and efficiently. SpringSource products reduce the learning curve, complexity, time, and cost to leveraging the leading cloud vendor technologies.
This session will include the following topics:
- Java web application deployment
- Deployment blueprints
- Monitoring and Management services
- Auto-scaling and forecasting
- Transitioning from development to production
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Private or Public - Developing Applications for the Cloud
Most people agree that the future of computing is in the cloud. However, what does that imply about how you develop or migrate existing applications to the new environment? Leveraging the lightweight and portable Spring framework appears to be a requirement to creating such applications. However, is that enough? Furthermore, is the cloud of the future in your private data center or in the public infrastructure? Will nirvana be achieved when we create the hybrid cloud to capture the best of both private and public clouds? Please join us as we walk through the evolution and the scenarios of various IaaS, PaaS, and future technologies yet to be made available.
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Special Topic: Private Cloud II
Following from session I, this special technical session will continue with practical considerations when implementing common private cloud deployments.
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