Folding@Home(aka FAH) is a distributed computing project. To quote from their website,
FAH is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. Folding@Home involves you donating your spare computing power by running a small client on your computer. The client then contacts the Folding@Home Work Assignment server, gets some workunits and runs them, You can choose to have it run when only when your system is idle, or have it run all the time.
I've always dreamed of being at reInvent and this year, not only do I get to be at re:Invent, I also get a chance to lead a Dev Chat. I'm really excited to be there, to present and more importantly, to meet and interact with other AWS Heroes and re:Invent participants.
Last year, I was honoured to being named as one of the Community Heroes and almost made it to re:Invent 2018.
A while back I had done a round up of a few container scanning solutionsand had mentioned I wanted to take another look at Anchore. The past few days, I've been playing a bit with Anchore – this time, integrating it with Drone CI.
Drone is a “Container-Native, Continuous Delivery Platform” built using Go. It makes use of a YAML file, .drone.yml to define and execute the pipeline.
End Goal For this project, we will be integrating Drone and Anchore.
So yeah that actually happened! I've always wanted to publish a book and thanks to Apress publishing – that is a reality now. The book is titled “Practical Docker With Python: Build, Release and Distribute your Python App with Docker” and is targeted at people who are new to Docker and want to containerize their application (with an example Python chat bot). The book starts with a brief introduction to containers and Docker, guides you on how to get started with Docker before diving into deeper topics such as Docker Networks, Volumes and Compose.
I recently published couple of articles elsewhere:
Container Conference India, the latter was glance at the open source container/Docker image scanning landscape. I plan to take a deeper look at Anchore, Clair, GVisor, Kata Containersand Docker Notifysoon. Stay tuned!
E3 has come and gone by and most of the year's press conferences were boring (what was EA even smoking?). Having said that, some of these did grab my attention. Below are a list (in no specific order) of gameplay/trailers/things I'm looking for and thought were good. Enjoy
Containers are slowly becoming the standardized units of deployment. As containers become more popular, they also become the focus targets for attacking the system via vulnerabilities present in the packages within the image. There are quite a few container vulnerability scanning solutions (example: Clair, Twistlock, now Prisma Cloud, Aqua – however most of them are either commercial or require an elaborate setup, which makes it difficult for individual developers to involve them as part of the container build process.
Long time, no write! Newsletters have become all the rage these days and I guess for good reason – they're curated, come in (usually) once a week and typically offer a respite from the deluge of news that comes in why typical RSS Feeds or via Twitter. Naturally I subscribed to few initially and then the list of newsletters increased – and now I am stuck with a newsletter bomb in my Inbox
VR and me go like chalk and cheese – ever since a kid, I've had motion sickness which limited me from playing most FPS games and my last attempt at VR(at IGX 2016) was a disaster – I barely could withstand 30 seconds of VR. Granted the game selection was bad – for me anyway (Driveclub on PSVR) – still I didn't expect that bad of a reaction.
In Chef parlance, databagsare global variables saved in JSON format and are stored and accessible on the Chef server. Given that these are indexed and can be searched up along with the fact that they can be encrypted make them ideal candidates to store secrets such as credentials/ssh keys.
Chef provides an easy way to search and fetch databag and databag items from within a recipe:
For ex to fetch a databag called admins, it's as easy as: