AWS kicked off November with the announcement of a new Amazon Linux container image for cloud and on-premises workloads. As power users of AWS, EC2 and Docker, our AWS consultants are excited at this news; it will greatly ease the upfront planning process for clients, eliminating a dimension from the complex decision matrix we navigate designing a Docker-based setup in AWS.
This year’s re:Invent is bound to be bigger and better than ever. With over 400 sessions designed to tackle topics as varied as how the cloud impacts your business, deep dives into specific areas like IoT, and new perspectives on cloud issues, there will certainly be a lot to learn.
We’d like to encourage you to attend the re:Invent session that Hemanth Jayaraman, Sr. Director, DevOps at Rent-A-Center will present with our very own Flux7 CEO, Aater Suleman. In this session they’ll be sharing how to deploy scalable SAP Hybris Clusters using Docker.
We are excited to see that today our customer, Rent-A-Center, has been featured on the AWS Blog. Rent-A-Center was interested in quickly introducing a new ecommerce platform that was secure, PCI compliant, and highly scalable to ensure it would cater to online web based demand.
Service discovery is not new. The idea of a tool that can discover how processes and services talk to each other and help facilitate connections has been around for some time. However, with the rise of increasingly dynamic environments, the important role service discovery plays continues to grow. Indeed, since the beginning of the year at Flux7 we have seen a surge of customers looking for container-based microservices architectures that highlights the need for service discovery due to its dynamic nature.
We are really looking forward to DockerCon next week and hope to see you there. It will be our second time co-presenting a customer solution on stage and think you’ll be fascinated to hear what Jay Blanchard of Fugro and our very own Aater Suleman have to share. They’ll present the story of how Fugro and Flux7 brought a new Internet of Things (IoT) based service to market with high uptime and portability, based on Docker containers and Amazon Web Services (AWS).
Just last month we wrote about Docker upping the security ante with a number of new security controls built into Docker 1.10 and here we are yet again. Dockercon 16 is coming up fast - June 19-21, 2016 in Seattle - and we're looking forward to sharing the Dockercon stage for second time with a customer - Fugro this time - to talk about how enterprises can use Docker and AWS to address common challenges. Check out the speaker list here.
Docker recently unveiled version 1.10 of its popular container technology. Security was a major focus of the release with several features designed to strengthen the security of Docker containers. According to the Docker blog,
“All the big features you’ve been asking for are now available to use: user namespacing for isolating system users, seccomp profiles for filtering syscalls, and an authorization plugin system for restricting access to Engine features. Another big security enhancement is that image IDs now represent the content that is inside an image, in a similar way to how Git commits represent the content inside commits.”
Many developers born in the world of agile startups view continuous integration (CI) and continuous delivery (CD) as accepted standard requirements for software development. Yet many companies, particularly large enterprises with traditional infrastructure, still struggle to make this approach part of their development process.
The Austin Docker Meetup for August is right around the corner, and we’re excited to be hosting it! Taking place on Thursday, August 6 at 6 p.m., Flux7 CEO Aater Suleman will be speaking about “Building a Learning Lab Solution Using Docker”.
On Demand Desktops Help Reduce Costs of Training
Leverage cloud infrastructure to support learning labs
Desktop as a Service (DaaS), or desktop virtualization, is catching on as a way to further save on CAPEX. The reality for most large organizations is that many DaaS offerings are limited as their ability to handle workloads and the strategy must be considered on a case-by-case basis. We found just such a case: on-demand learning labs for training departments or organizations.