Our June theme for this month's DOXSFO was focused around microservies. We had two speakers that talk about their experiences with microservices and what their expereinces were. Is this something that you should use? Check out the post below to see!
This month, we at Outlyer will be doing their first talk since our rebrand, on Docker monitoring solutions and how the container monitoring solution was built at Outlyer.
We are also hearing from our hosts Sainsbury’s, and how they have been using CodeBuild with Ansible and CloudFormation for their complex builds.
You’ll also get to hear how Flypay have been using Alexa (Amazon Echo) to deploy to Kubernetes! After setting up a powerful continuous deployment pipeline that allows you to deploy your products to Kubernetes clusters just using your voice.
The main theme of our May DOXSFO meetup featured one of the most popular topics in DevOps right now: Containers and Docker. We had three very different talks on the subject. Amit spoke about how utilizing Docker has changed his continuous integration ecosystem. Corey had a very unique and entertaining talk about why Docker may not be all it's cracked up to seem, and David also chimes in with how we at Outlyer have been able to building our own container monitoring solution.
We kickstarted the return of our DevOps Exchange SF (DOXSFO) Meetup with a subject close to our hearts and critical for successful DevOps: monitoring. A lineup of expert speakers shared their insight on latest and greatest practices in monitoring, incident management and DevOps teamwork.
If you were unable to make the KubeCon Berlin, this is another opportunity to hear from Joseph Jacks, one of the founders of Kismatic (the enterprise Kubernetes company, now Apprenda), and a founder of KubeCon. Joseph discussed native, distributed storage for Kubernetes.
We also heard from Bobby DeVeaux, one of our favourite people in DevOps, who presented his most recent project, a production-ready scalable Docker Swarm using Terraform and Packer. Mangirdas Judeikis from Red Hat provided a deep dive to OpenShift and how it works with containers. Cameron Adams took us through how ITV have been using Docker & Selenium to reduce their build pipeline from 4 hours to 40 minutes.
February DOXLON tackled scaling a massive IOT infrastructure, internal certificate management, and learnings from a DevOps-flavored journey to a culture of innovation. As usual, we learned from some of the best engineering teams out there: EVRYTHING, Smarkets and Ticketmaster.
February 2017 update: Screenshots in this blog post carry our old name and brand, Dataloop.IO. All product functionality has remained the same. Thank you for understanding.
Since we make the collection of data super simple with self-service and open source standards, it means our users continue sending us more and more of the stuff. We support monitoring all layers of your service, including host, application and business metrics. While you need as much information as possible about how your online service is performing, you can soon end up drowning in data, making it hard to know what you have, let alone gain any valuable insights.
In this edition of DOXLON, Oliver Beattie from Monzo, a banking app, talked us through their network architecture, how they have secured it, and the lessons they've learned along the way. Chris Sinjakli from GoCardless discussed the importance of reliability, and dove into a recent feature for zero-downtime patch upgrades. Last but not least, Ed Hargin and Kyrylo Novotarskyi from TransferWise talked about their move from a monolithic codebase and shared infrastructure towards independent infrastructure management that is better focused on helping solve customer problems.
Blog post updated January 16, 2018
At Outlyer, one of the key trends we're seeing in the monitoring space, is Microservices. So, are you ready to compete in this Microservices world? Although Microservices tends to be adopted when an online service gets to scale, we've also seen smaller services and start-ups (including us) designing their architectures around this concept so they can scale up easily as they grow.