Insights and Perspectives to keep you updated
Reading Time: 3 minutes If your actors are distributed across several nodes in the cluster, Cluster Sharding allows you to interact with them without worrying about their physical location and using only their logical identifier. Even if an actor re-locates to a new node, Akka will take care of locating it for you. You just need to send a message to it as if it is located on your local node.
Reading Time: 4 minutes When we create any microservice, or in general any service, one of the biggest task is to manage data persistence. Lagom supports various databases for doing this task. By default, Lagom uses Cassandra to persist data.
Reading Time: 4 minutes Pre-requisite knowledge: Basics of Akka and Actor System. Fun fact: Did you know that ActorSystem has a heart? Well yes, the ActorSystem is considered to have a heart and it is the “Dispatchers”. We will see how, in this blog. In the real world, dispatchers are the communication coordinators responsible for receiving and passing messages. For example, in emergency services like 911, the dispatchers are Continue Reading
Reading Time: 3 minutes Akka cluster provides a fault tolerant decentralized peer to peer cluster membership service with no single point of failure or single point of bottleneck. It does this using gossip protocol and an automatic failure detector.
Reading Time: 2 minutes When we start with Akka we generally start with one actor system on our local machine but when we talk about the business application we can have multiple parts of an application and those part can run on different machine or node. Akka Remoting is a communication module to connect the actor system in peer to peer fashion. It also serves as the foundation for Continue Reading
Reading Time: 4 minutes In this blog, I will talk about using Couchbase with Lagom’s Persistent Entity API. And then we will see how we can query for fetching the data. We already know that Lagom handles data persistence with ‘Persistent Entity’ which holds the state of individual entities. And to interact with them one must know the identifier of the entity. So Lagom provides the support to build Continue Reading
Reading Time: 2 minutes Hey folks, in this blog I am going to explain how can you schedule jobs that you want to repeat over a certain period of time with the help of Akka Scheduler. Suppose you have a use-case in which you want some cleaning background process to run a cleanup-repository method to delete records after a fixed interval of time, then look nowhere else because Akka scheduler Continue Reading
Reading Time: 3 minutes As a niche consulting and development organization we end up in a lot of enterprises who would like to modernize, would like to build web-scale products but they are not ready to look beyond Spring. It is a strongly debated topic and there are reasons for still going the Spring way but the reasons are less and less as we go ahead. For starters, this Continue Reading
Reading Time: 3 minutes While I was attending ScalaDays Berlin 2018, I experienced many great ideas but the one which intrigued me the most was “Farewell Any => Unit, welcome Akka Typed!” by Heiko Seeberger where he explained about Akka Typed APIs. In this blog I am going to explain what I learned until now about Akka Typed, therefore, I named this blog “Welcome, Akka Typed !!”, so let’s Continue Reading
Reading Time: 2 minutes Hi, In this blog we will discuss some of the challenges we faced while migrating lagom version from 1.3.x to 1.4.x that can be helpful if you are thinking to migrate your lagom version. But firstly we will see the versions we should have for Scala, Play and Akka. Play and Akka Versions While migrating Play and Akka version too needs to upgrade. With Lagom Continue Reading
Reading Time: 4 minutes “If you can dream it, you can do it. ” -Walt Disney For some coding is a job. For some, it is an exercise. But for us folks here at Knoldus, it’s a Passion. So in order to bring a twist in the daily work schedule, Knoldus held an overnight Hackathon competition within the organization on 18th May 2018 which presented an opportunity for every Knolder(employees Continue Reading
Reading Time: 5 minutes In this blog post we’ll see how a file can be streamed from a client (eg: browser) to Amazon S3 (AWS S3) using Alpakka’s AWS S3 connector. Aplakka provides various Akka Stream connectors, integration patterns and data transformations for integration use cases. The example in this blog post uses Play Framework to provide a user interface to submit a file from a web page directly to Continue Reading
Reading Time: 4 minutes In this blog post I’ll try to explain the process wherein you can stream data directly from PostgreSQL database using Scala Slick (which is Scala’s database access/query library) and Akka Streams (which is an implementation of Reactive Streams specification on top of Akka toolkit) in Play Framework. The process is going to be pretty straightforward in terms of implementation where data is read from one Continue Reading
Manas Kashyap
Sonu Mehrotra
Sarfaraz Hussain
Sudeep James
Alok Jha
Anjali Sharma
Ankur Thakur
Anmol Sarna
Anuj Saxena
Ayush Hooda
Ayush Mishra
Ayush Prashar
Ayush_Singhal
Azmat Hasan
Bhavya Aggarwal
Bhawna Sharma
Piyush Rana
Pawan Bisht
Shubham Verma
Charmy Garg
Harshit Daga
Rudar
Deepak Mehra
Deepankar
Divyansh Jain
Ayush Tiwari
etash2901
Gautam Singal
girdharshubham
Girish Bharti
Himani Arora
Himanshu Gupta
Sonu Mehrotra
Nancy Jain
Jashan Goyal
Jasmine Kaur
Juoko Virtanen
Rachel Jones
JustinB
Jyoti Jali
Jyoti Sachdeva
Rishi Khandelwal
Manish Mishra
Vikas Hazrati
Komal Rajpal
Kritika Khandelwal
kundankumarr
Sahil Sawhney
Lokesh Aggarwal
Megha Jatana
Mahesh Chand
Mayank Bairagi
Miral Gandhi
Mukesh Yadav
Mukesh Kumar
munandersingh
Muskan Gupta
Kaushik Nath
Narayan Kumar
Neelam Lakra
Neelu Aggarwal
Neeraj Chugh
Neha Bhardwaj
Niharika Datta
Nitin Arora
Pankaj Chaudhary
Pinku Swargiary
Prabhat Kashyap
Praful Bangar
Pranjut Gogoi
Prashant Sharma
Priyanka Thakur
Rachna Bulbule
Rahul Khanna
Ramandeep
Ram Indukuri
Randhir kumar
Joseph Ross
Ruchika Dubey
Sakshi Gawande
Sanjana Aggarwal
Rajeev Thakur
Shivraj Singh
Shubham Goyal
Shubham Dangare
Sidharth Khattri
Sachin Slathia
GauravShukla
Shubhrank Rastogi
Swantika Gupta
Swapnil Gosavi
Nitin Aggarwal
Upanshu Chaudhary
Utkarsha Musmade
Vandana Yadav
Vidisha Gupta
Vinay Kumar
Vinisha Sharma
Yatharth Sharma
Knoldus is the world's largest pure-play Scala and Spark company. We modernize enterprise through cutting-edge digital engineering by leveraging Scala, Functional Java and Spark ecosystem. Our mission is to provide reactive and streaming fast data solutions that are message-driven, elastic, resilient, and responsive.
+(1) 647-467-4396
hello@knoldus.com
