MongoDB for GIANT Stories

How Saavn Grew to India’s Largest Music Streaming Service with MongoDB

Mat Keep
September 26, 2016

Building a push notification system on a sophisticated data analytics pipeline powered by Apache Kafka, Storm and MongoDB

2015 was an important year for the music industry. It was the first time digital became the primary revenue source for recorded music, overtaking sales of physical formats. Key to this milestone was the revenue generated by streaming services – growing over 45% in a single year...

MongoDB 3.2.10-rc1 is released

MongoDB
September 21, 2016

MongoDB 3.2.10-rc1 is out and is ready for testing. This is a release candidate containing only fixes since 3.2.9. The next stable release 3.2.10 will be a recommended upgrade for all 3.2 users.

Fixed in this release:

  • SERVER-12048 Calling "service mongod start" with mongod running prevents "service mongod stop" from working
  • SERVER-16801 Update considers a change in numerical...

Serverless Architectures: The Evolution of Cloud Computing

Jason Ma
September 21, 2016

Introduction

Since the advent of the computer, building software has been a complicated process. Over the past decade, new infrastructure approaches (IaaS and PaaS), software architectures (SOA and Microservices), and methodologies (Agile, Continuous Delivery and DevOps) have emerged to mitigate the complexity of application development. While microservices has been the hot tren...

Building Applications with MongoDB's Pluggable Storage Engines: Part 2

Jason Ma
September 20, 2016

In the previous post, I discussed MongoDB’s pluggable storage engine architecture and characteristics of each storage engine. In this post, I will talk about how to select which storage engine to use, as well as mixing and matching storage engines in a replica set.

How To Select Which Storage Engine To Use

WiredTiger Workloads

WiredTiger will be the storage engine of choice for most workloads. Wi...

Building Applications with MongoDB's Pluggable Storage Engines: Part 1

Jason Ma
September 19, 2016

This is the first in a two post series about MongoDB’s pluggable storage engines. This post discusses characteristics of MongoDB’s storage engines.

Introduction

With users building increasingly complex data-driven apps, there is no longer a "one size fits all" database storage technology capable of powering every type of application built for the enterprise. Modern applications need to...

Maximizing MongoDB Performance on AWS

Jason Swartzbaugh & Brandon Newell
September 16, 2016

AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this post we’ll take a look at several recommendations that can help you get the best...

MongoDB at the AWS Pop-Up Loft NYC

Jay Gordon
September 16, 2016

Amazon Web Services recently hosted Database Architecture Week at the AWS New York City Pop-Up Loft, and the MongoDB team participated in a lively discussion on leveraging NoSQL technologies on Amazon Web Services.

MongoDB Atlas, our new hosted database as a service, fits nicely into the existing AWS ecosystem. Just like many AWS products, MongoDB Atlas is completely on demand, allowing you to c...

Using MongoDB Atlas From Your Favorite Language or Framework

Andrew Morgan
September 15, 2016

Developers love working with MongoDB. One reason is the flexible data model, another is that there's an idiomatic driver for just about every programming language and someone's probably already built a framework on top of MongoDB that takes care of a lot of the grunt work. With high availability and scaling built in, they can also be confident that MongoDB will continue to meet their needs...