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De paseo por la nube de Google
- 1. Walking on the (Google) Cloud Laura Morillo-Velarde
- 2. Hello! I am Laura Morillo-Velarde I’m System Engineer at Seedtag and GDE for Google Cloud. You can find me at: @Laura_Morillo 2
- 12. Configurabilit y Agility Compute Engine Kubernetes Engine Cloud Run App Engine Cloud Functions @Laura_Morillo
- 14. Compute Engine Secure and customizable compute service to create and run virtual machines using Google infrastructure. 14 @Laura_Morillo
- 15. @Laura_Morillo
- 22. @Laura_Morillo
- 23. ● Need to handle everything ● A lot of pieces Advantages Disadvantages ● Any machine shape ● Highly configurable ● Easy to change providers @Laura_Morillo
- 25. Kubernetes Engine Simple way to automatically deploy, scale and manage Kubernetes. 25 @Laura_Morillo
- 26. Kubernetes? 26 Open source tool to orchestrate containers that allows us to automate the deployment, scaling and management. Created initially by Google. @Laura_Morillo
- 27. @Laura_Morillo
- 30. Controlled by Google Master Master Master Node Node Node @Laura_Morillo
- 31. Controlled by Google Master Master Master Node Node Node @Laura_Morillo
- 32. Controlled by Google Master Master Master Node Node Node @Laura_Morillo
- 33. ● Needs containers ● Have to learn Kubernetes ● You have to pay for the cluster Advantages Disadvantages ● Open Source ● You can use any technology inside the containers ● You control the infrastructure needs ● Stateless and Stateful @Laura_Morillo
- 35. Cloud Run Develop and deploy highly scalable containerized applications on a fully managed serverless platform. 35 @Laura_Morillo
- 36. @Laura_Morillo
- 37. @Laura_Morillo
- 38. ● Needs containers ● No infrastructure control Advantages Disadvantages ● Use any technology ● Great for stateless applications ● Up to 0 instances ● No cost if no use @Laura_Morillo
- 40. App Engine Build highly scalable applications on a fully managed serverless platform. 40 @Laura_Morillo
- 42. ● Limited runtimes (or need Docker configuration) Advantages Disadvantages ● No infrastructure ● Focus on the app development with easy config ● Version management ● Pay based on use and automatic scaling @Laura_Morillo
- 44. Cloud Functions 44 Scalable pay-as-you-go functions as a service (FaaS) to run your code with zero server management. @Laura_Morillo
- 45. @Laura_Morillo
- 46. ● Limited programming languages Advantages Disadvantages ● Small pieces of codes ● Easy to configure ● Automatically scales @Laura_Morillo
- 48. “ Do I have the time and knowledge to take care of the infrastructure? 48 @Laura_Morillo
- 49. “ How much load will my app have to handle? 49 @Laura_Morillo
- 50. “ Do I need some specific hardware? 50 @Laura_Morillo
- 51. “ Do I need to use a certain technology? 51 @Laura_Morillo
- 52. “ Do I have long running processes? 52 @Laura_Morillo
- 56. Cloud Storage 56 Cloud Storage is a service for storing your objects in Google Cloud. An object is an immutable piece of data consisting of a file of any format. You store objects in containers called buckets. @Laura_Morillo
- 57. Cloud Storage Features Security Control who can access any resource (bucket and object) using Identity and Access Management (IAM) and data encryption. Lifecycle rules Apply actions automatically to bucket’s objects like switching storage classes or deleting the data. Static serving We can use a bucket to host a static website! 57 @Laura_Morillo
- 62. Thanks! Questions? You can find me at: @Laura_Morillo laura.morillovelarde@gmail.com 62
Editor's Notes
- Pues para darle un poco de respuesta a eso en lugar de hablar directamente de los servicios que tenemos en Google vamos a hablar de pizza. Espero que hayáis comido bien y a nadie le entre demasiada hambre! La cosa es que una poner una aplicación en producción puede tener más en común de lo que parece con organizar una quedada con los amigos para comer una pizza.
- Porque si nosotros decidimos organizar una quedada para comer pizza vamos a tener que plantearnos también quién y cómo se encarga de esa pizza. Si somos muy manitas y se nos da bien la cocina lo mismo decidimos que vamos a controlar hasta el último detalle de esa pizza y por ello nos vamos a encargar nosotros incluso de hacer la masa, seleccionaremos los ingredientes, la hornearemos y prepararemos nuestro piso para que nuestros amigos vengan a casa a comerla. Y después nos tocará además fregar los platos.
- Si no tenemos tanto conocimiento de cocina es posible que elijamos que mejor simplemente compramos una de esas bases que vienen ya preparadas y sobre ella prepararemos nuestra pizza. Nos quita una parte del engorro de estar amasando, dejar reposar pero aún podemos elegir la mejor sobrasada, el mejor queso de mahon para hacer una pizza de rechupete a nuestro gusto que disfrutaremos en casa con nuestros amigos.
- Si tampoco queremos preocuparnos por ir a comprar los ingredientes podemos comprar una pizza de las ya preparadas. No podemos elegir si queremos echarle un queso u otro, pero tenemos que encargarnos de tener por casa menos materiales. La meteremos en el horno, vendrán nuestros amigos a comer y después nos tocará limpiar.
- Si directamente nos queremos olvidar de preparar nada o queremos ahorrarnos la factura de la luz del horno, podemos pedir directamente algún servicio que nos mande a casa esas pizzas y así centrarnos nosotros únicamente en poner la casa en la que juntarnos con los amigos y después limpiar lo que toque.
- Y si directamente no queremos hacer nada de lo anterior y únicamente queremos centrarnos en disfrutar de ese rato con nuestros amigos podemos simplemente quedar en la pizzería donde alguien que no somos nosotros se encargará de prepararnos la pizza y de limpiar después los platos.
- Pues al igual que con nuestra pizza los servicios de Google Cloud para desplegar nuestras aplicaciones podemos organizarlos de manera lineal un poco así, donde encontramos un eje con los productos en los que encontraremos en un extremo productos que nos van a permitir una gran configurabilidad, vamos a poder seleccionar todo lo que queramos, pero a cambio vamos a tener que tener un mayor conocimiento, hacer un mayor trabajo y requerirán un mayor tiempo y en el otro extremo encontraremos servicios en los que otro, en este caso Google Cloud nos va a proveer casi todo para que nosotros podamos centrarnos en el desarrollo que necesitamos, teniendo algo listo más rápido pero teniendo que adaptarnos por nuestro lado más a lo que Google nos permita o no y por lo tanto perdiendo un poco de control sobre ciertas cosas.
- When we use Compute Engine we are really close to the infrastructure. Google have a lot of datacenters divided on different zones and for every zone they have different regions. This combination can help us to provide a better service to our users by providing a fastest access using different zones and we could also improve the availability of our service using different regions to ensure that our application will be available even if there is an issur with the datacenters on one region.
- When we use Compute Engine we are really close to the infrastructure. Google have a lot of datacenters divided on different zones and for every zone they have different regions. This combination can help us to provide a better service to our users by providing a fastest access using different zones and we could also improve the availability of our service using different regions to ensure that our application will be available even if there is an issur with the datacenters on one region.
- With Compute Engine we will be able to use virtual machines running on those datacenters. We will be able to choose the operating system that we want to use based on different images that Google provides us, and we could also create our own images.
- Whenever we create a virtual machine, we will associate a disk. We can configure the kind of disk that we want if we need HDD or SSD and the capacity. And we could also add more than one disk if we need it. One of the features that Compute Engine offers is being able to create a Snapshot of the disks that we are using and also disks can be disconnected from a virtual machine and connected to another instance.
- And we will also have to take care of the network connections. Every virtual machine has a private and a public ip assigned, and we will take care using tools like the firewall of the connections that are allowed to our instances.
- And we will also have to take care of the network connections. Every virtual machine has a private and a public ip assigned, and we will take care using tools like the firewall of the connections that are allowed to our instances.
- And we will also have to take care of the network connections. Every virtual machine has a private and a public ip assigned, and we will take care using tools like the firewall of the connections that are allowed to our instances.
- Based on Knative.