Julien Bisconti - Google Developer Expert for Google Cloud

cloud

Chaos Engineering with a Service Mesh

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In this talk, we will outline what is a service mesh. A service mesh is a inter communication infrastructure that allows the traffic to be routed by configuring proxy running as a side car to each services. It’s a network for services, not for bytes.

Chaos Engineering with a Service Mesh

Starting to do chaos engineering can seem like a daunting task if one has never practice that before. In this talk, we will outline what is a service mesh and how does it help us to do chaos engineering. A service mesh is a inter communication infrastructure that allows the traffic to be routed by configuring proxy running as a side car to each services.

Chaos Engineering with a Service Mesh

–
Starting to do chaos engineering can seem like a daunting task if one has never practice that before. In this talk, we will outline what is a service mesh and how does it help us to do chaos engineering. A service mesh is a inter communication infrastructure that allows the traffic to be routed by configuring proxy running as a side car to each services. It’s a network for services, not for bytes.

Chaos Engineering with a Service Mesh

–

Starting to do chaos engineering can seem like a daunting task if one has never practice that before. In this talk, we will outline what is a service mesh and how does it help us to do chaos engineering. A service mesh is a inter communication infrastructure that allows the traffic to be routed by configuring proxy running as a side car to each services.

Chaos Engineering with a Service Mesh

–

Starting to do chaos engineering can seem like a daunting task if one has never practice that before. In this talk, we will outline what is a service mesh and how does it help us to do chaos engineering. A service mesh is a inter communication infrastructure that allows the traffic to be routed by configuring proxy running as a side car to each services.

Deploying Go Functions

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Developers are taught to write code but what about deploying code ? Using a serverless architecture, testing, building, deploying and monitoring are activities that happens in a cloud native environment. Coding is still done locally. What can we do to enable developers in the cloud?

Deploying Go Functions

–

Developers are taught to write code but what about deploying code ? Using a serverless architecture, testing, building, deploying and monitoring are activities that happens in a cloud native environment. Coding is still done locally. What can we do to enable developers in the cloud?

Deep Dive: Chaos Engineering

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Sub title: Automating Chaos Engineering with a Service Mesh and the Chaos Toolkit.

In this talk, Julien and Sylvain will take you on the journey of performing Chaos Engineering exploration and automation of a simple set of services backed by Istio, a service mesh provider.

Building your own data platform for ML operation

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The two main workflows of machine learning are, first, train the model, then deploy the model. The time it takes to go from a Jupyter notebook to a deployed model in production can be months.The tooling around the training workflow is getting better but deploying is still cumbersome.That is why Kubeflow was created.The KubeFlow project is dedicated to making deployments of machine learning workflows on Kubernetes simple, portable and scalable. In this presentation, we are going to see why such a project exists and the challenges Machine Learning Operations (MLOps) brings to the table.

Scaling on GCP

The journey from startup to international company is not so straight forward. In this talk, we will go through some of the most common pitfalls I’ve seen when scaling infrastructure and companies.There is no one size fit all, understanding the tradeoffs is important. This is what this talk is about: tradeoffs.We are going to peel down many layers of abstraction and estimate the total cost of ownership for the various services offered by GCP. Should we use kubernetes ? How to scale an application? How to scale a team? What tools helps you to scale? Is a microservices architecture good to start with?Those questions do not have a straight answer but we are going to see in which case it makes sense to use a particular technology.

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