#CRITICAL OPS HACK OCTOBER 25 2016 HOW TO#
You’ll learn how to work on a CMake project, use different generators, and take advantage of multi-config presets. This talk will give an introduction to Conan and focus on the latest features you can use today to overcome any challenges. Given this is not even a conversation in another ecosystem, it’s time we solve it once and for all. In the 2022 C++ survey results an overwhelming majority ~80% said managing libraries was painful, nearly 50% called it a major pain. Operating system settings, JVM settings, memory sizing, and CPU sizingĪnalyzing perf test results and finding bottlenecks that are both apparent and not obvious
Testing application infrastructures like Kafka, Spark, and Cassandra Tools for setting up, driving load, and getting perf test results We’ll cover these topics while building up a performance test and running it live:ĭefine your goals: SLA, latency, throughput, stability We’ll review common problems and how to avoid them. We will be looking at this from a real-world server-side application point of view, specifically for Java apps. In this session, we will review the basics and give you concrete steps to build a robust performance testbed for your application. Testing the performance of your Java application is an artform rather than engineering and is a minefield of misconceptions, misunderstanding, and misinformation. We’ll talk about the various stages on the pipeline, about Kubeflow, KServe, Seldon, RaptorML and other ML k8s buzzwords a sneak peek into the future (which is actually… quite present).Įvery so often, you’ll read a performance benchmark (of a Java or other application), with bold claims for how well X performs compared to Y. In this talk, Almog, a Kubernetes maintainer, will review with us the various trends and open-source tools to build your own Production-ready AI Infrastructure stack. That being said, if you use a modern cloud-native stack, you can build your own AI Infrastructure stack fairly smoothly on Kubernetes. Productizing ML is hard, and many companies are starting to build their own infrastructure for “operationalized AI” and kinda re-inventing the wheel.
Productizing ML with Kubernetes – Almog Baku We will also explore the AWS Controllers for Kubernetes (ACK), which lets you define your application’s AWS managed service resources using the familiar Kubernetes API and manifests! No need to use a different configuration system or log into the AWS Console! Come learn about the design of the AWS Controllers for Kubernetes, what features this new project provides, and the roadmap for service integration over the coming months.
#CRITICAL OPS HACK OCTOBER 25 2016 SOFTWARE#
Join us at the JFrog TLV Swamp for the CNCF Meetup!ĭo you love the Kubernetes API and user experience? Do you love declaratively defining your application as a Deployment or Daemonset, a Service, and maybe an Ingress manifest, and letting the magic of Kubernetes handle the orchestration of your application deployment? We do too! Until now, if you had a Kubernetes application with some dependencies on an AWS resources (like S3 Bucket, SNS Topic, DynamoDB Table, etc) you needed to use another tool in addition to Kubernetes, like Terraform or CloudFormation, to manage the creation and lifecycle of those resource dependencies.Ĭan we do better? Kubernetes API is extensible and can be extended to manage even non-kubernetes resources! In this talk we will introduce this concept, of managing cloud resources through Kubernetes API, and discuss how this concept affects current software development and deployment practices.
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