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last updated: Fri, 30 Jan 2015 18:38:32 GMT


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last updated: Sat, 31 Jan 2015 15:02:20 GMT

 Sat, 31 Jan 2015 09:00:00 EST Industrial 'Internet of Things' By @EnterpriseWeb | @ThingsExpo [#IoT]
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, data security and privacy.

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 Fri, 30 Jan 2015 23:00:00 EST DevOps Summit New York Call For Papers | @DevOpsSummit [#DevOps]
The 4th International DevOps Summit, co-located with16th International Cloud Expo – being held June 9-11, 2015, at the Javits Center in New York City, NY – announces that its Call for Papers is now open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Among the proven benefits, DevOps is correlated with 20% faster time-to-market, 22% improvement in quality, and 18% reduction in dev and ops costs, according to research firm Vanson-Bourne. It is changing the way IT works, how businesses interact with customers, and how organizations are buying, building, and delivering software.

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 Fri, 30 Jan 2015 14:45:00 EST The World of Hadoop and Beyond By @JnanDash | @CloudExpo [#BigData]
Hortonworks went through an IPO last Friday, December 12, 2014. It’s initial price of $16 soared by 60% immediately after. Today the stock price is $24.70 with a market cap of $1.02B. Another billion dollar club member. They compete with Cloudera and MapR in packaging the open source Hadoop platform for customers. How do they make money when the basic Apache Hadoop is free? – by offering added services like training and consulting. They can also add auxiliary products (not open source) that customers must pay for. The interesting fact is that Hortonworks’s CEO had claimed a $100m revenue this year, but looks like he is way short of that – $33m during first nine months. The future is quite uncertain!

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 Fri, 30 Jan 2015 14:00:00 EST Use Case: Spark Performance Monitoring By @MLnick | @CloudExpo [#BigData]
At Graphflow, our mission is to empower online stores of all sizes to grow their businesses by providing them access to the same machine learning and Big Data tools used by the largest and most sophisticated tech players in the market. To deliver on this mission, we decided from the very beginning to go ‘all in’ on Spark for our scalable analytics and machine learning applications. When Graphflow started using Spark, it was on version 0.7.0, and it was relatively immature. A lot has changed over the past year and a half: Spark has become a top-level Apache project, version 1.2.0 was released, and Spark has matured significantly in terms of functionality, deployment, stability, and operations.

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 Fri, 30 Jan 2015 12:45:00 EST Key Performance Metrics: Part 2 By @GrabnerAndi | @DevOpsSummit [#DevOps]
In Part I of this blog I explained which metrics on the Web Server, App Server and Host allow me to figure out how healthy the system and application environment is: Busy vs. Idle Threads, Throughput, CPU, Memory, etc. In Part 2, I focus on the set of metrics captured from within the application server (#Exceptions, Errors, etc.) as well as the interaction with the database (connection pools, roundtrips to database, amount of data loaded, etc.). Most of the screenshots shown in this blog comes from real performance data shared from our Dynatrace Free Trial users that leveraged my Share Your PurePath program where I helped them analyze the data they captured. I also hope you comment on this blog and share your metrics with the larger performance testing community.

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