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Andrés Aquino
Leader with initiative, proactive, ideas proposer, autodidact, flexible and determined
Leader with initiative, proactive, ideas proposer, autodidact, flexible and determined

Andrés's posts

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Biographies Infographics

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Certbot es un cliente ACME automático y fácil de utilizar, que obtiene certificados SSL/TLS gratis para tu sitio Web, provistos por Let's Encrypt. Certbot fue desarrollado por la EFF (Electronic Frontier Foundation) como "cliente oficial" de la autoridad certificante de Let's Encrypt, pero también funciona con cualquier CA que soporte el protocolo ACME (Automated Certificate Management Environment).

Certbot (anteriormente el cliente Let's Encrypt letsencrypt-auto) es el cliente recomendado por Let's Encrypt para emitir sus certificados, y opcionalmente auto-configurar HTTPS en tu servidor Web.

#certbot #SSL #TLS #Debian #HTTPS #LetsEncrypt

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Understanding caching in Postgres - An in-depth guide

In a database system, we are mainly concerned about disk I/O.

Magnetic disks are poor for random I/O when compared to their newer counterparts the SSDs.

Most OLTP workloads are random I/O, hence the fetch from the disk can be very slow.

To overcome this, postgres caches data in RAM which can greatly improve performance. Even in the case of SSDs,RAM is much faster.

This general idea of a cache is common to almost all database systems.

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WLST with groovy

JMX MBeans are complicated, meaning that careers probably exist for working with JMX MBeans and little else. I'm truly sorry to hear that. For the layperson (and by this, I mean people who work in BI), trying to understand MBeans probably ranks somewhere between getting decent service at a restaurant in the UK, and understanding why the Anomaly needs to join with the Source. It's complex enough that most vendors provide utilities to simplify the process... which means using anything other than Java to work with them. For Weblogic, we have Weblogic Scripting Tool (WLST).

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Docker in the Cloud: Oracle Container Cloud Service

The idea of cutting monolithic applications into smaller chunks of microservices attracts a lot of attention these days among software developers.

Microservices are independently deployed as a process, use light-weight protocols to communicate with each other, and every service owns its data [7]. Since microservices follow a decentralized governance approach, they require a rather high amount of infrastructure automation, automated testing, fully automated CD pipelines and skilled, agile DevOps teams.

There is still a lot of discussion about this architectural style, yet it would be naive to assume that an application decomposed into microservicse can be simply operated as a set of processes. To name only a few requirements, a microservice needs to be host independent, and isolated on an operating system level. It must run within its resource limits, must be scaled up and down, restarted if failed, and discovered and connected to other microservices via a software defined network layer.

Therefore, running a microservice in a Docker container puts you at an excellent jumping-off point to achieve most of these goals.

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Patrones de diseño Retry, Valet Key y Sharding
Tengo mis servicios en Cloud, y me comunico con ellos o a través de una aplicación local (sea de escritorio o nativa de mi dispositivo móvil), o por medio de un cliente Web que está publicado en un Web App.

Todo funciona de manera correcta hasta que me encuentro con lo que se llama una “Transient Fault”, o fallo temporal del servicio, y mi aplicación no debe romperse ni quedarse congelada...

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