Author Archives: ayushmishra2005

About ayushmishra2005

Ayush is the Sr. Software Consultant @ Knoldus Software LLP. In his 5 years of experience he has become developer with proven experience in architecting and developing web applications. Ayush has a Masters in Computer Application from U.P. Technical University, Ayush is a strong-willed and self-motivated professional who takes deep care in adhering to quality norms within projects. He is capable of managing challenging projects with remarkable deadline sensitivity without compromising code quality. .

Profile Management with Nice UI Interface in Node.js and MongoDB


Last week, we created a login demo template in Node.js and MongoDB. We also added signUp with FaceBook, Twitter and google. So that user would not need to signup manually. Now we have added profile management feature with a nice … Continue reading

Posted in Agile, AJAX, JavaScript, jQuery, MongoDB, News, Node.js, Web | Tagged , , , | Leave a comment

Knolx Session:- An Overview of Node.js


In this section, we would give an overview of node.js. Node.js, a software platform, built on google chrome runtime. It uses v8, the same run time environment, that google chrome uses. It is one of the best plateform to easily … Continue reading

Posted in Node.js | Tagged | Leave a comment

Sign-Up with Facebook, Twitter and Google using Node.js and MongoDB


Last week, we created a simple login application, which has sign up and login facility after successfully registration. Now we have added one more feature, i.e. Sign-up with Facebook, Twitter and Google. You can login with your facebook, twitter and … Continue reading

Posted in Agile, CSS, Java, JavaScript, MongoDB, Node.js, Web | Tagged , , , , | 2 Comments

Easiest Way to Implement JOINs in MongoDB 2.4


Last year, I wrote a blog to implement JOINs in MongoDB. But this solution was applicable only for versions below Mongo 2.4. According to the release log of 2.4, this feature is removed. We could not use another collection on … Continue reading

Posted in JavaScript, MongoDB | Tagged | 2 Comments

A Simple Login Application in Node.js and MongoDB


Node.js, a software platform, built on google chrome runtime. It uses v8, the same run time environment, that google chrome uses. It is one of the best plateform to easily build scalable network applications(especially server-side). We have created Node.js Login … Continue reading

Posted in Agile, Architecture, Cloud, JavaScript, MongoDB, Node.js, Web | Tagged , , | Leave a comment

Running standalone Scala job on Amazon EC2 Spark cluster


In this blog, I would explain how to run a standalone Scala job on Amazon EC2 Spark cluster from local machine. This is a simple example to process a file, which is stored on Amazon S3. Please follow below steps … Continue reading

Posted in Agile, Amazon EC2, Cloud, Scala, Spark | Tagged , , , | Leave a comment

A simple way to Customize Kryo Serializer for Akka Actors in Scala


Kryo is a fastest and efficient way to do serialization. It is more efficient than Java serialization – both in size and speed. I am working on a Scala_Lift_Akka based project, where I have to implement serializer for Akka Actor’s … Continue reading

Posted in Agile, Akka, Scala, Web | Leave a comment

Building Apache Spark with Scala 2.10


As we know, Spark is a Map-Reduce like cluster computing framework, designed to make data analytics fast. In the official website of Spark, latest release is Spark 0.7.3. But this release requires Scala 2.9.3. If you are using Scala 2.10, … Continue reading

Posted in Cloud, Spark | 2 Comments

Bridging the Communication between Lift Comet Actor and Akka Actor in Scala


In this blog, I would explain how to create bridge between Lift Comet Actor and Akka Actor. Since Lift has its own actor model, so a bridge is needed to fill communication gap between LiftComet and Akka Actor, so that … Continue reading

Posted in Agile, Akka, Java, LiftWeb, Scala, Web | Leave a comment

A Simple Remote Chat application using Lift Comet and Akka Actor in Scala


If you are running an application and there are lot of chances for a huge traffic to come in future, a single server would not be capable to handle this. In that case you would have two choices: A) Replace … Continue reading

Posted in Agile, Akka, Java, LiftWeb, Scala, Web | 4 Comments