The RLT Blog - Page 4 of 16 - Root Level Technology

The RLT Blog - Page 4 of 16 - Root Level Technology

KubeCon Day 3 (12/13)

As we wrap up this year’s KubeCon, Braden finishes up his experience by starting his day started with Keynote: Smooth Operator♪: Large Scale Automated Storage with Kubernetes – Celina Ward, Software Engineer & Matt Schallert, Site Reliability Engineer, Uber.   “It was a little weird to have 2 back to back keynotes talking about operators (previous keynote: Kubernetes: Living Up to the Hype – Janet Kuo, Software Engineer, Google),” says Braden. “But,    M3DB was a good case study of how moving to K8s and using operators helped. None of this was new info to me except M3DB.”   There were comparisons to large-scale Prometheus installs like Cortex or Thanos, which are based on Prometheus and have large communities and integrate […]

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KubeCon Day 2 (12/12)

Day 2 was jammed packed with people and keynotes. Braden started his day at 9:00 am. The first keynote he attended was Save Yourselves! – Liz Rice, Technology Evangelist, Aqua Security. Which had some interesting tidbits. Like, how easy it is to Own a K8s cluster if you have a cluster admin role. There was a talk last year about integrating OPA with Istio to control access to services, etc.  So the idea of being able to write security policies for your services and also to control your cluster is really appealing.  OPA is still really early, last year seems like there was progress but still experimental. Maybe, this is the year it gets to beta and is ready for […]

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KubeCon 12/11

The first day of KubeCon + CloudNativeCon was an exciting one. Especially for our cloud staff engineer, Braden Wright, who is representing Root Level Technology at the event.   Braden attended a few keynotes and provided feedback for a few talks.   Don’t Forget the Data When Embarking on Your Journey to Service Meshes – Shriram Rajagopalan, VMware   Braden mentions the talk “wasn’t very good. Basically, a need to know about external data and need a way to control who accesses. Reminds me of what Palo Alto was addressing with DataCenters with NGFW’s.”   Highly Available Kubernetes Clusters – Best Practices – Meaghan Kjelland & Karan Goel, Google.   Braden wasn’t a fan of this talk either.   “Only […]

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KubeCon Warm Up

We’re excited to hear KubeCon + CloudNativeCo has in store for us. As we warm up for the event, people were welcomed with an amazing kick-off of lightning talks from some great people!   Lightning Talk Highlights:   Jun Sakata, Software Engineer, Infrastructure, Ubie, Inc. – an Introduction to GitOps Deployment to Kubernetes PDF Tim Hockin, Principal Software Engineer, Google – CRDs Aren’t Just For Addons PDF Elena Morozova, Software engineer, Weaveworks – Labels in Prometheus Alerts PDF Mike Arpaia, Co-Founder & CTO, Kolide – Behind the Scenes: Kubernetes Release Notes Tips & Tricks PDF Jonathan Perry, CEO / Co-Founder, Flowmill – Monitoring Kubernetes with eBPF and Prometheus PDF Marko Mudrinić, Software Developer, Loodse – Spawning Kubernetes In CI For […]

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Turn on your Predictive Scaling for EC2 now!

If you have an autoscaling group in AWS, you have a need for Predictive Scaling. Predictive Scaling is exactly what it sounds like: Machine Learning being applied to your auto scaling metrics through a service provided by Amazon. This service looks at metrics provided from your existing Auto-Scaling group metrics including CPU use or custom-defined metrics. These metrics are weighed against Amazon’s own data to build a forecast for resource usage by your EC2 instances. The more data points available for machine learning, the better your results. AWS’s predictive scaling only requires 24 hours of data to start making predictions, but those predictions will get better the more data is available. Predictive Scaling is a free service and can be […]

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