Tracking NFV Performance in the Data Center
Virtualizing the data center may make it more efficient and agile but additional processing power may be needed.
The Datacenter Does Not Revolve Around AWS, Despite Its Gravity
If the public cloud computing market were our solar system, then Amazon Web Services would be Jupiter and Saturn together and the remaining five fast-growing big clouds would be like the inner planets like Mercury, Venus, Earth, Mars, and that pile of rocks that used to be a planet mixed up with those clouds that are finding growth a bit more challenging – think Uranus and Neptune and maybe even Pluto if you still want to count it a planet.
This analogy came to us in the wake of Amazon’s reporting of its financial results for the first quarter of …
The Datacenter Does Not Revolve Around AWS, Despite Its Gravity was written by Timothy Prickett Morgan at The Next Platform.
StackStorm: Ghost2logger Pack
Coinciding (roughly) with the version 2.2 release of StackStorm, the Ghost2logger pack has been released.
This pack provides in essence a “Syslog sensor” that provides the user a tuple match on a Syslog entry, tuples in this case being:
- Syslog Message (Actual syslog message)
MANDATORY AND - Syslog Source (IPv4 address)
The actions can then be anything you so desire, either triggering a sinlge action or full blown workflow with Mistral or Cloudslang.
Getting Started
In terms of using the pack, all that is required from the user is the creation of rules and pointing your syslog source to the Ghost2logger location. Most of the time Ghost2logger will live on the same install as StackStorm, so point it at the IP address StackStorm resides. Worried abut StackStorm load? Don’t be. Syslogs aren’t actually processed by StackStorm, but are processed by the Ghost2logger binary. Only matched entries dispatch triggers. There is some inception going on here. Prepare yourself for this: “Rules will only match what the rules have created the match conditions for”. If you understand this hypothesis correctly, you will understand that this is simple feedback from the rules base back to Ghost2logger.
The pack itself consists of a number Continue reading
Introducing Docker’s new CEO
Docker has celebrated a number of important milestones lately. March 20th was the fourth anniversary of the launch of the Docker project at PyCon in 2013. April 10th was the fourth anniversary of the day that I joined Solomon and a team of 14 other believers to help build this remarkable company. And, on April 18th, we brought the community, customers, and partners together in Austin for the fourth US-based DockerCon.
March 20th, 2013
Docker Team in 2013
DockerCon was a great opportunity to reflect on the progress we’ve seen in the past four years. Docker the company has grown from 15 to over 330 talented individuals. The number of contributors to Docker has grown from 10 to over 3300. Docker is used by millions of developers and is running on millions of servers. There are now over 900k dockerized apps that have been downloaded over 13 billion times. Docker is being used to cure diseases, keep planes in the air, to keep soldiers safe from landmines, to power the world’s largest financial networks and institutions, to process billions in transactions, to help create new companies, and to help revitalize existing companies. Docker has rapidly scaled revenues, building a sustainable Continue reading
IoT Security Anti-Patterns
From security cameras to traffic lights, an increasing amount of appliances we interact with on a daily basis are internet connected. A device can be considered IoT-enabled when the functionality offered by its Embedded System is exposed through an internet connected API.
Internet-of-Things technologies inherit many attack vectors that appear in other internet connected devices, however low-powered hardware-centric nature of embedded systems presents them with unique security threats. Engineers building Internet-of-Things devices must take additional precautions to ensure they do not implement security anti-patterns when addressing new problems, this blog post will investigate four such anti-patterns that have been used by real Internet-of-Things devices.
Atmel ATMEGA8 Microcontroller Wikimedia Commons - CC BY-SA 3.0
HTTP Pub/Sub
Every time your IoT-enabled alarm clock sounds, you may want it to tell your coffee machine to brew some coffee. In order to do this, your coffee machine may subscribe to messages published by your alarm clock. One such way of doing this is to implement the Publish/Subscribe Pattern within the API of the IoT devices, for this example let's assume our alarm clock and coffee machine communicate through HTTP.
In order to subscribe to messages from the alarm clock, the coffee machine sends Continue reading
Using the Collaborative Security Approach to Address Internet of Things Security Challenges
Two years ago, our “Collaborative Security Approach” proposed a way of tackling Internet security issues based on the fundamental properties of the Internet and the voluntary cooperation and collaboration that’s been prominent throughout the Internet's history. In this post, let us look at each of the five key Collaborative Security characteristics as they apply to security of the Internet of Things (IoT).