Kubernauts! We are excited to announce the next San Francisco Kubernetes meetup will be February 15, 2018 at Entelo in San Francisco.
We'll be jumping into distributed databases with Ignite on K8s and wrap up with a presentation on Amazon's EKS. Also, if you'd like to present please ping me via meetup or twitter @baldwinmathew. Email is baldwin_at_stackpoint.io.
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6:30 - 7:00 - Social
7:00 - 7:30 - Deploy like a Boss: Using Kubernetes and Apache Ignite! - Dani Traphagen
If downtime is not an option for you and your application needs to be extremely low-latency; what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite are Open Source Frameworks that work exceedingly well together to achieve said goals. By working with containerization Kubernetes helps enable developers to work seamlessly with new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this. As a memory-centric platform Ignite allows you to access distributed data sets processing them using SQL and key-value operations, execute computations and much more. For the purposes of this webinar we will walk through the basics of a Kubernetes and Ignite deployment and how to set up a Apache Ignite cluster addressing the Kubernetes IP Finder, the Kubernetes Ignite Lookup Service, Sharing the Ignite Cluster Configuration, how to Deploy your Ignite Pods and Adjusting the Ignite Cluster Size when you need to scale. All in all, this should be an informative session which should enable you to work with both technologies for a better operational experience with your cluster.
7:30 - 8:00 - EKS - pre-GA dialogue on the scope and integrations of AWS EKS offering - Omar Lari
Amazon will be taking us through the nuts and bolts of EKS.
8:00 - Social, Wrap-up, Jet
Dani Traphagen is a solution architect at GridGain Systems. She confesses that she's fascinated by the world of distributed databases and how this technology is shifting a decent chunk of the RBDMS paradigm. Specifically, her interests are in Big Data, Data Science, Bioinformatics, Machine Learning, In Memory Data Grids, Distributed Databases, Data Modeling, Search and data processing/analytics.
Omar Lari is a Solutions Architect at Amazon Web Services. Omar has been practicing ‘devops’ before it was thing, automating the mundane tasks he was required to perform in his early systems administration roles. When not trying to automate the world he works on optimizing time between chasing his two young children around and hacking away on personal pet projects.
Our friends at Entelo have offered to provide space for this upcoming event.
123 Mission St.
San Francisco, CA