Thursday 4 June 2015

Twitter To Use Heron For Production And Traffic Surges

Twitter will be employing Heron to replace Storm in order to improve manageability and productivity.

Twitter Inc. is the social media network giant that provides a micro blogging platform to its users. After posting poor results for the first quarter of the fiscal year, the company is currently focused on changing its strategies in order to get back in the business.
In order to increase manageability and production, it has decided to employ a relatively faster system, named as ‘Heron’. It is believed that the newly installed system will have the access to be fully compatible with the ‘Storm’, its previous system.
Twitter confirmed about its new system, ‘Heron’, in its official blog post, which stated, “the social networking platform processes a huge quantity of events each day. It is pertinent to note that analyzing all the events is cumbersome, and poses a massive challenge for the management”, reported BidnessETC.
Previously, the social network used Storm as its system that was required to do such analyses. This system was an open source that had a distributed stream computation. However, its only drawback was that it could not handle heavy traffic, as well as increasing number of accounts.
With time, the requirement of Twitter was increasing in terms of incremental traffic and users signing up daily on the platform. Consequently, a change was necessary in order to keep up with the growing pace of the market and employed Heron within its infrastructure to meet the growing demands of the social media network.
It is believed that Heron is an advanced system, which is installed on a platform that provides real time analytics details. It will also be compatible with API and the previous system as well.
The social network unveiled the new system at the SIGMOD 2015 event on Tuesday. The company stated about the qualities of recent system in its official blog post, “A real-time streaming system demands certain systemic qualities to analyze data at a large scale. Among other things, it needs to: process of billions of events per minute; have sub-second latency and predictable behavior at scale; in failure scenarios, have high data accuracy, resiliency under temporary traffic spikes and pipeline congestions; be easy to debug; and simple to deploy in a shared infrastructure.”
This recent development will prove to be quite beneficial for the company in order to keep up with the pace of its daily activities. It will help the organization to not only increase but also improve and bring betterment in its manageability and productivity. To be precise, Heron is miles ahead of Storm and is said to be 10 to 14 times stronger than the previous system.

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