18 Feb 2016

AWS DevOp Case Study: Creating Scalable IOT Infrastructure

AWS DevOps Case Study

A Fortune 500 manufacturer was using Hadoop, internal data centers, Rackspace and CenturyLink to facilitate services that connected its customers with data insights using an Internet of Things model. The overarching goal: to facilitate continuous data-driven improvement within its customers’ operations. To help achieve this goal and overcome its Hadoop scaling issues, the company engaged with Flux7, DevOps consulting group and AWS partners. Additionally, the manufacturer sought a global solution that would comply with EU data privacy laws.

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30 Apr 2015

Amazon Kinesis: A Use Case

by Ali Hussain / April 30, 2015 / Case Studies, IoT, Kinesis, Database 0

Flux7 engineer Ahsan Ali and CTO Ali Hussain collaborated on this post

The rise of IoT has given rise to a new generation of needs in the world of big data processing. Now we need to handle data ingress from many sensors around the world, and make real-time decisions to be executed by these devices. As such it is no surprise we see new services to handle processing of streaming data, such as Amazon Kinesis.

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24 Mar 2015

“Cloud Wars” bring new benefits to IoT and Big Data businesses

by Flux7 Labs / March 24, 2015 / Migration, Storage, IoT, Database 0

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Last week, Amazon Web Services announced the availability of larger and faster Elastic Block Storage Volumes, something we’ve been looking forward to since the original announcement at re:Invent 2014. AWS continues to add rich features to their platform and it can be difficult to stay on top of them, and understand which new capabilities are going to impact an individual business, and how.

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06 Feb 2014

CAP Theorem: Its importance in distributed systems

by Flux7 Labs / February 06, 2014 / Database 0

CAP Theorem

Five years ago, Amazon found that every 100ms of latency cost them 1% of sales. Google discovered that a half-second increase in search latency dropped traffic by 20%.

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04 Feb 2014

Benchmarking: CPU Performance analysis of i instances| Part 1 Coremark

by Flux7 Labs / February 04, 2014 / Benchmarking, Storage, Amazon EC2, Database 0

Amazon recently introduced new types of storage-optimized instances. This new generation of instances is available within the I2 and HI1 families. All provide high storage and better IO performance compared to other instance families in AWS. Flux7 Labs decided to benchmark these new instances to better understand the tradeoffs between them that our customers face.

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01 Feb 2014

Amazon I2 Instances Features, Price and Availability

by Flux7 Labs / February 01, 2014 / VPC, Amazon EC2, Database 0

The Amazon I2 Instance Type

Amazon has announced immediate availability of the I2 instance type, the next generation of Amazon EC2 High I/O instance and the best solution for transactional systems and high performance NoSQL databases such as Cassandra and MongoDB. I2 instances feature the latest generation of Intel Ivy Bridge processors, the Intel Xeon E5-2670 v2. Each virtual CPU (vCPU) is a hardware hyperthread from an Intel Xeon E5-2670 v2 (Ivy Bridge) processor. Its features, price and availability can be combined to derive a performance-oriented usage and to explore new use cases.

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29 Jan 2014

Hadoop–Ganglia Integration using Hadoop Metrics2 Framework

by Flux7 Labs / January 29, 2014 / Database 0

In our previous post here, we detailed why Ganglia is a good tool for monitoring clusters. However, when monitoring a Hadoop cluster you often need more information about CPU, disk, memory, and nodal network statistics than the generic Ganglia config can provide. For those who need more finely tuned monitoring, Hadoop supports a framework for recording internal statistics and then for posting them to an external source, either to a file or to Ganglia. In fact, Hadoop now supports an implementation of the Metrics2 Framework for Ganglia. In this post we’ll discuss Hadoop Metrics2 Framework’s design and how it enables Ganglia metrics.

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27 Jan 2014

Using Docker Containers for Complex IoT Application - Flux7 Blog

by Anubhav / January 27, 2014 / Docker, IoT, Database 0

Recently at Flux7 Labs we developed an end-to-end Internet of Things project that received sensor data to provide reports to service-provider end users. Our client asked us to support multiple service providers for his new business venture. We knew that rearchitecting the application to incorporate major changes would prove to be both time-consuming and expensive for our client. It also would have required a far more complicated, rigid and difficult-to-maintain codebase.

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22 Jan 2014

Data Day Texas 2014 Highlights

On January 11, Aater and I attended Data Day Texas 2014 here in Austin. Sponsored by Geek Austin, it was such a great event that I thought I’d share some highlights. Data Day Texas holds special significance for Flux7 Labs because it was at Data Day 2013 that we made our first presentation, when Aater gave a talk on the role of microservers in big data, which you can find here.

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17 Jan 2014

NoSQL Database Solutions - Types and Examples

by Flux7 Labs / January 17, 2014 / Database 0

At Flux7 Labs we solve a variety of problems for our customers and often that includes guiding clients to the right tools for their needs. In our previous post on NoSQL, we discussed how NoSQL solutions offer a better alternative to RDBMSs. In this post we’ll walk you through different types of NoSQL database models and solutions and show you how different architectures and design philosophies support various features. We’ll explain how NoSQL can be a tool that better serves your needs than a one-size-fits-all tool like an RDBMS.

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