I have used this WordPress plugin for enabling CDN for the blog.
Easy to configure and good tracking of changes done on CDN.
I have used this WordPress plugin for enabling CDN for the blog.
Easy to configure and good tracking of changes done on CDN.
I have started to work with AWS CloudFront with the purpose of improving the time response of the store.
Initial expectations:
Concerns:
A diagram to remind:
The initial impression is that Amazonisthis decadewhatMicrosoftin the 90s: they are makingthe cloudaccessibleto
the whole world in an understandable way.
Update, December 2014
Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.
All the modules in Hadoop are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are common and thus should be automatically handled in software by the framework. They cover all these challenges and other ones.
Big Data can be defined as high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Big data is basically about a new set of algorithms, topology and use of resources that enable us to gather, analyze and show more data.
Every day, we create thousand of bytes of data, the number grows in an exponential way.
In the past all data was stored in a relational database, so to handle it, it was a question of simple rules to select data from a database. Today 80% of data is unstructured, and this percentage is growing: videos, pictures, comments, GPS, transactions, locations…
Under this situation, individuals and companies face scenarios where the data is too big or it moves too fast or it exceeds current processing capacity. This limit to handle the data comes from:
Think about Facebook, in the terms mentioned above:
Well, Facebook, Yahoo, Twitter, EBay… they all use Hadoop.
I’m reading about Content Delivery Network (CDN) and I found the Apache Hadoop project. I have been shocked about the nature of the project, where this comes from and all the toolkit generated around it. It’s massive amount of information, but fascinating for me.
Hadoop project comes from the need of requiring more resources for a give goal. The solution has been to distribute the data and the processing of data. You need to process a huge amount of data with a simple computer that offers limited processing cycles, then you use combined group of computers to run these processes in less time.
The major resources considered while distributed processing system are: Processor time, memory, hard drive space, network bandwidth. For instance virtual servers is a sophisticated software that detects idle CPU capacity on a rack of physical server and parcels out the virtual environments to utilize it.
There are so many challenges on distributed processing when it’s applied at large scale, and Hadoop faces them. It’s important to mention these challenges to understand (or admire) what the Apache Hadoop project does.
In each of the mentioned cases, the distributed system should be able to recover from the component failure or transient error condition and continue to make progress.
I follow this company since some time ago, they are evolving on IoT arena with a strong platform solution. I also follow the evolution of OpenRemote, and I’m willing to see how it evolves.
Related to thingworx it was a question of time that someone came and buy it. In the case of PTC, they had PLM solution and with this acquisition the will be move in short terms to offer M2M solutions, looking for long term niche: Service Life-cycle Management.
All industries are moving to a clear “service” approach and manufacturing industry is not an exception. So this acquisition is the natural move of an emerging company which have a clear strategy.
Is it a risk? sure!…
PTC has today PLM, ALM, CAD, SLM, IoT, the only natural piece of the puzzle is MES. Let’s see the next move.
Es la primera vez que me enfrentaba a la distancia de la maratón. Hacerla en montaña es más liviano que correrla por asfalto, al menos para mi.
La existencia de esta prueba que tiene muy poco desnivel hace más sencillo el reto.
Muy contento con la manera que fue el día, piernas menos cansadas de lo esperado, eso si la planta de los pies muy calentitas en los últimos 10 kms.
Tiempo: 6:29:13.