filmov
tv
Scaling EDA Workloads with Kubernetes, KEDA & Karpenter • Natasha Wright • GOTO 2024
Показать описание
This presentation was recorded at GOTO EDA Day 2024. #GOTOcon #GOTOeda #GOTOldn
Natasha Wright - Senior Containers Specialist at AWS
RESOURCES
ABSTRACT
DID YOU GET TAYLOR SWIFT ERAS TICKETS?!??! NO?? Well like you, millions of people suffered as a result of IT systems crashing due to traffic - either preventing them from accessing ticket sites or incomplete payment transactions. Today, management of event driven workloads is essential for real and near time processing, allowing businesses to respond to interactions from their customers.
Scaling business IT workloads to support peaks in event traffic (such as the ERAS Tour!), needs to integrate with EDA principles and systems. Traditional autoscaling often falls short amidst unpredictable event volumes, leading to inefficiencies and increased costs.
In this session we'll hear about how Kubernetes-based Event Driven Autoscaler (KEDA) allows us to handle the triggers, respond to events, and scale workloads as needed. We'll explore how combining KEDA with Karpenter creates a cost-effective, highly-efficient solution - and who knows, maybe we'll be ready for ERAS II. (WARNING - TAYLOR SWIFT HAS NOT ENDORSED THIS TALK) [...]
TIMECODES
00:00 Intro
02:59 Agenda
03:20 The Taylor Swift problem
16:02 Scaling with Kubernetes
23:46 KEDA overview
32:52 Application scaling with Karpenter
39:59 Solving our Taylor Swift problem
42:42 Key takeaways
45:16 Outro
Read the full abstract here:
RECOMMENDED BOOKS
#KEDA #Karpenter #EventDrivenArchitecture #EDA #SoftwareArchitecture #AWS #Serverless #EventDriven #Kubernetes #k8s #Coupling #Connection #LooselyCoupled #Events #EventBased #NatashaWright
Looking for a unique learning experience?
SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily.
Natasha Wright - Senior Containers Specialist at AWS
RESOURCES
ABSTRACT
DID YOU GET TAYLOR SWIFT ERAS TICKETS?!??! NO?? Well like you, millions of people suffered as a result of IT systems crashing due to traffic - either preventing them from accessing ticket sites or incomplete payment transactions. Today, management of event driven workloads is essential for real and near time processing, allowing businesses to respond to interactions from their customers.
Scaling business IT workloads to support peaks in event traffic (such as the ERAS Tour!), needs to integrate with EDA principles and systems. Traditional autoscaling often falls short amidst unpredictable event volumes, leading to inefficiencies and increased costs.
In this session we'll hear about how Kubernetes-based Event Driven Autoscaler (KEDA) allows us to handle the triggers, respond to events, and scale workloads as needed. We'll explore how combining KEDA with Karpenter creates a cost-effective, highly-efficient solution - and who knows, maybe we'll be ready for ERAS II. (WARNING - TAYLOR SWIFT HAS NOT ENDORSED THIS TALK) [...]
TIMECODES
00:00 Intro
02:59 Agenda
03:20 The Taylor Swift problem
16:02 Scaling with Kubernetes
23:46 KEDA overview
32:52 Application scaling with Karpenter
39:59 Solving our Taylor Swift problem
42:42 Key takeaways
45:16 Outro
Read the full abstract here:
RECOMMENDED BOOKS
#KEDA #Karpenter #EventDrivenArchitecture #EDA #SoftwareArchitecture #AWS #Serverless #EventDriven #Kubernetes #k8s #Coupling #Connection #LooselyCoupled #Events #EventBased #NatashaWright
Looking for a unique learning experience?
SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily.