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Lantana Brings the Power of Analytics for High Availability and Spends Optimization on Amazon Cloud

Lantana, company that offers a performance monitoring, management and optimization tool for mission critical applications deployed on Amazon cloud, today announced the addition of analytical engine for High Availability and Spend Optimization.

 
 
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PRLog - Sep. 13, 2012 - PUNE, India -- Lantana, company that offers a performance monitoring, management and optimization tool for mission critical applications deployed on Amazon Web Services (AWS) cloud, today announced the addition of analytical engine for High Availability and Spend Optimization.

An application that empowers all the stakeholders in AWS ecosystem that includes IT managers, AWS support teams and CTOs to manage the critical applications on AWS cloud, Lantana, has doubled its customer base during the first few months after initial launch in 2012. Lantana is now being used by enterprises and Independent Software Vendors to monitor and optimize the performance of their AWS infrastructure. Many organizations have adopted Amazon Web Services (AWS) cloud to run their applications; however they face challenge in keeping pace with the growth, spend and performance of the applications.

Lantana has advanced application health monitoring capabilities such as multivariate co-relation analysis between major performance parameters which help system administrators in faster problem detection and resolution. A newly introduced S3 analytics helps e-commerce companies in understanding the billing trends and control the cost associated with static content downloads. Lantana also has a new feature of predictive analytics (forecasting) based on 12 months historical data which is otherwise not possible with standard AWS features.

Intelligent algorithms, implemented as a part of auto-recommendation capabilities of Lantana, analyze important AWS parameters and generate automatic recommendations for system administrators in order to take pro-active actions. This helps organizations optimize their deployments to achieve better performance at lower cost of AWS services.

“Performance is the life line of any application and you need to know the AWS eco-system through all the layers and should analyze the deployment of AWS assets from performance improvement perspective. There could be various performance bottlenecks due to poor design of applications, improper use of underlying AWS resources, underutilization of AWS platform, over interacting software components, tight coupling and many other design attributes and Lantana can help in uncovering some of these areas of performance issues,” said Satish Agrawal, COO, Lantana Cloud Inc.

Ashish Gupta, CTO, believes, “Our approach of introducing recommendation engine is to help enterprises in getting alerts and notifications for system and business owners well in advance so that preventive actions can be taken in time to avert performance and spending issues in near future. This will not only help achieving high performing deployments on AWS but also in arresting excess spend on underutilized AWS resources.”

“Our objective is to bring in the best analytical and optimization tools for our customers to fully leverage AWS ecosystem and this recommendation engine is the result of our commitment towards excellence,” said Satish Agrawal, COO.

Lantana reveals insights through dashboards for business stakeholders for decision making and future planning. IT Managers can look into potential performance bottlenecks and guide operations and support team to take actions.

Lantana, through its consulting services, helps clients with application architecture validation, auto-scaling implementation, AWS Administration Services, Resolution of AWS related critical Incidents etc.

Lantana also provides round the clock and round the year support services for AWS users.

Photo:
http://www.prlog.org/11974739/1

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Contact Email:
***@lantanacloud.com
Source:Lantana Cloud Inc.
City/Town:Pune - Maharashtra - India
Industry:Cloud computing
Tags:cloud computing, amazon cloud, performance optimization, cloud migration
Shortcut:prlog.org/11974739
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