"This is the first in a series of posts about adding containers to our server farm to make it easier to scale, manage, and keep pace with our business."

Muchas ideas muy interesantes desde las prácticas internas de shopify en su adopción de contenedores como medio principal de deployment y ejecución.

"Splunk Enterprise is the industry-leading platform for operational intelligence. Collect and index any machine data from virtually any source in real time. Search, monitor, analyze and visualize your data to gain new insights and intelligence. Index everything for deep visibility, forensics and troubleshooting. Work smarter as you and your team share searches and add knowledge specific to your organization. Create ad hoc reports to identify trends or prove compliance controls. Create interactive dashboards to monitor for security incidents, service levels and other key performance metrics. Analyze user transactions, customer behavior, machine behavior, security threats and fraudulent activity, all in real time."

"Registrator automatically register/deregisters services for Docker containers based on published ports and metadata from the container environment. Registrator supports pluggable service registries, which currently includes Consul, etcd and SkyDNS 2."

"Ferry helps you create big data clusters on your local machine. Define your big data stack using YAML and share your application with Dockerfiles. Ferry supports Hadoop, Cassandra, Spark, GlusterFS, and Open MPI."

"Material Design Icons are the official open-source icons featured in the Google Material Design specification."

Comparación interesante de RDBMS (incluyendo Oracle) y particularmente la opción de NuoDB.

"This is the first part of a series on building an event sourced application. We'll build a simple blogging application (inspired by the Ruby on Rails "Getting Started" tutorial), so the domain should be familiar. This allows us to focus on implementing a memory image based architecture using event sourcing. Another goal is to show that this kind of architecture is not more complex (and arguably, simpler) than those implemented by traditional database centered applications."

"Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Configuration files describe to Terraform the components needed to run a single application or your entire datacenter. Terraform generates an execution plan describing what it will do to reach the desired state, and then executes it to build the described infrastructure. As the configuration changes, Terraform is able to determine what changed and create incremental execution plans which can be applied. The infrastructure Terraform can manage includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc. The key features of Terraform are: Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used. Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure. Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure. Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors."

Listo... M$ subido al vagón de Docker... palo y a la bolsa. ¿Quién queda afuera? "Oct. 15, 2014 - Microsoft Corp. and Docker Inc., the company behind the fast-growing Docker open platform for distributed applications, on Wednesday announced a strategic partnership to provide Docker with support for new container technologies that will be delivered in a future release of Windows Server. Developers and organizations that want to create container applications using Docker will be able to use either Windows Server or Linux with the same growing Docker ecosystem of users, applications and tools."

"API Documentation with powerful tooling. Web API Language. Pure Markdown. Designed for Humans. Understandable by Machines. Powerful Tooling. Easy Lifecycle."

"RESTful API Modeling Language (RAML) is a simple and succinct way of describing practically-RESTful APIs. It encourages reuse, enables discovery and pattern-sharing, and aims for merit-based emergence of best practices. The goal is to help our current API ecosystem by solving immediate problems and then encourage ever-better API patterns. RAML is built on broadly-used standards such as YAML and JSON and is a non-proprietary, vendor-neutral open spec."

"Swagger is a simple yet powerful representation of your RESTful API. With the largest ecosystem of API tooling on the planet, thousands of developers are supporting Swagger in almost every modern programming language and deployment environment. With a Swagger-enabled API, you get interactive documentation, client SDK generation and discoverability."

"This is an HDFS based docker-registry."

"Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Configuration files describe to Terraform the components needed to run a single application or your entire datacenter. Terraform generates an execution plan describing what it will do to reach the desired state, and then executes it to build the described infrastructure. As the configuration changes, Terraform is able to determine what changed and create incremental execution plans which can be applied. The infrastructure Terraform can manage includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc."