Life Long Programmer's Community Log: 2015-10-04

You can’t cost-cut your way to greatness - Ruth Porat -- The problem of Twitter is not doing too much...

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You can’t cost-cut your way to greatness - Ruth Porat
-- The problem of Twitter is not doing too much, but doing too less. - check what happened to IBM.
How to attract new users, how to make money, develop new features, enter related market etc.
-- The engineers in Twitter are great asset for any company.
-- If a company starts to lay off employees, it's time to sell off its stock.
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CEO Jack Dorsey wants a leaner Twitter.

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Twitter Finagle Finagle relies on Netty for IO multiplexing providing a transaction-oriented framework...

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Twitter Finagle
Finagle relies on Netty for IO multiplexing providing a transaction-oriented framework on top of Netty’s connection-oriented model.
Components: Future, Service, Filter.
Failure management, load balance at client side.
Protocol agnostic.
https://blog.twitter.com/2014/netty-at-twitter-with-finagle

Finagle is our fault tolerant, protocol-agnostic RPC framework built atop Netty. Twitter’s core services are built on Finagle, from backends serving user profile information, Tweets, and time...

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Github Architecture Local -> Networked -> Net-Shard -> GitRPC Automate Everything Be stable ==> deploy...

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Github Architecture
Local -> Networked -> Net-Shard -> GitRPC
Automate Everything
Be stable ==> deploy constantly
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Things Zach Holman said.

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Solr vs. ElasticSearch http://ift.tt/Ww65Fm --...

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Solr vs. ElasticSearch
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-- Pretty old article, but some still remains true.
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[Note: We’re holding 2-day, super hands-on training workshops for Elasticsearch AND Solr in New York City on October 19 & 20, 2015. Click here for Elasticsearch training and click here for Sol...

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Kafka Design and Architecture http://ift.tt/1o4dZP6 http://ift.tt/1MXh5mb...

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Kafka Design and Architecture
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4.1 Motivation. We designed Kafka to be able to act as a unified platform for handling all the real-time data feeds a large company might have. To do this we had to think through a fairly broad set of use cases. It would have to have high-throughput to support high volume event streams such as ...

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Good Tech Lead, Bad Tech Lead Teamwork Technical vision Discussion and debate Project management Pragmatism...

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Good Tech Lead, Bad Tech Lead
Teamwork
Technical vision

Discussion and debate
Project management

Pragmatism
Communication
Relationship with Product

Resiliency
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A brief guide to tech leadership at Foursquare, inspired by Ben Horowitz’s Good Product Manager, Bad Product Manager. ¶ …

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timeseries in Cassandra and DynamoDB + timeuuid http://ift.tt/1MVs5Au...

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timeseries in Cassandra and DynamoDB + timeuuid
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Recently I wanted to store timeseries data in Cassandra (and also in Amazon DynamoDB which is similar). In my particular case I wanted to store information about Web API events. I found a few things...

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Java 8 StampedLocks vs. ReadWriteLocks and Synchronized http://ift.tt/1FOKHT6...

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Java 8 StampedLocks vs. ReadWriteLocks and Synchronized
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Synchronized sections are kind of like visiting your parents-in-law. You want to be there as little as possible. When it comes to locking the rules are the same - you want to spend the shortest amount of time acquiring the lock and within the critical section, to prevent bottlenecks from forming. The core language idiom for locking has always been the synchronized keyword, for methods and discrete blocks. This keyword is really hardwired into the...

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