Omar Alva

Gracias Daniele Stefenello por compartir este video - El poder entender la diferencia entre DevOps y MLOps es super importante. Adicionalmente podemos ver cómo #redhat #openshift #openshiftai and #ecosystem es la plataforma ideál para tú estrategía de IA (#InteligenciaArtificial) ------------- Thank you Daniele Stefenellofor sharing this video - It is so important to understand the differences between DevOps and MLOps. In the video, you can see how #redhat #openshift #openshiftai and #ecosystem is the ideal platform for your AI (#ArtificialInteligence) strategy -------------

4

https://lnkd.in/ekqYn5ie Schedule a Call: https://lnkd.in/eANG2Kq6 #IngenieríaRemota,#TalentoGlobal,#InnovaciónEngeniería,#DesarrolloTecnológico,#IngenieríaDeLaConstrucción,#OptimizaciónDeLaFabricación,#IngenieríaAeroespacial,#SectorEnergético,#IngenieríaSanitaria,#Sostenibilidad,#3Inmigración,#SolucionesEngeniería

2

1 comentario

Buscando AWS DevOps [email protected] Recuerda**Todas nuestras posiciones son remotas desde cualquier parte de la república mexicana** What makes AWS Lambda so fast? There are 4 main pillars: 1 - Function Invocation AWS Lambda supports synchronous and asynchronous invocation. In synchronous invocation, the caller directly calls the Lambda function using AWS CLI, SDK, or other services. In asynchronous invocation, the caller doesn’t wait for the function’s response. The request is authorized and an event is placed in an internal SQS queue. Pollers read messages from the queue and send them for processing. 2 - Assignment Service The Assignment Service manages the execution environments. The service is written in Rust for high performance and is divided into multiple partitions with a leader-follower approach for high availability. The state of execution environments is written to an external journal log. 3 - Firecracker MicroVM Firecracker is a lightweight virtual machine manager designed for running serverless workloads such as AWS Lambda and AWS Fargate. It uses Linux’s Kernel-based virtual machine to create and manage secure, fast-booting microVMs. 4 - Component Storage AWS Lambda also has to manage the state consisting of input data and function code. To make it efficient, it uses multiple techniques: Chunking to store the container images more efficiently. Using convergent encryption to secure the shared data. This involves appending additional data to the chunk to compute a more robust hash. SnapStart feature to reduce cold start latency by pre-initializing the execution environment Thank you to ByteByteGo for the infromation♥ #aws #devops #lambda #remote #homeoffice

2