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Latest posts

Why we built a Jamstack site

Last month, inspired by JamstackConf I built Jamstackery.website. This mini-site runs on AWS, and is managed by our platform. Our hope is that this mini-site demonstrates the promise of an architecture that blends containers with functions, and all the supporting certificates, permissions, and resources necessary to provide a world-class infrastructure.

Splunk: Simplifying Multicloud with Splunk and Google Cloud's Anthos

Managing applications across different clouds is easier said than done. Organizations often cite challenges with siloed tools, inconsistent management and visibility gaps. In this session, Splunk and Google Cloud will demonstrate how Anthos and Splunk provide consistent ways to manage and monitor your workloads across multiple clouds. Join our webinar, "Simplifying Multicloud with Splunk and Google Cloud's Anthos" to learn.

Tigera: Securing Kubernetes in your cloud-native journey: Lessons learned

From just starting your journey to running production Kubernetes deployments, each step of the journey has its own set of technical and operational challenges that you need to address. Join experts from Mirantis and Tigera who will share their experiences in running Kubernetes securely no matter where on the cloud-native journey your organization is today.

Tigera: Getting up and running with Calico on your on-prem K8s Cluster

If you are deploying Kubernetes on-premises in your datacenter, you won't want to miss this talk and demo. The first thing you're thinking about might not be networking, but without some knowledge of the networking decisions you'll need to make, and what the right option is given your environment, you're likely to get stuck or make the wrong assumptions that may limit your ability to scale or integrate with the rest of the datacenter network.

Elastic: Monitoring Python applications with Elastic APM

Elastic APM - open source application performance monitoring powered by Elasticsearch - comes equipped with the Elastic APM Python agent for monitoring performance metrics and error logs from Python applications. Learn how to get started with the instrumentation of your Python applications and gain insight into your transactions and potential bottlenecks.