Using ML to Automatically Optimize Kubernetes for Cost Efficiency and Reliability - Stefano Doni
Using ML to Automatically Optimize Kubernetes for Cost Efficiency and Reliability - Stefano Doni
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

Using ML to Automatically Optimize Kubernetes for Cost Efficiency and Reliability - Stefano Doni

Using ML to Automatically Optimize Kubernetes for Cost Efficiency and Reliability - Stefano Doni

|
Akamas: Using ML to automatically optimize Kubernetes for cost efficiency & reliability

Akamas: Using ML to automatically optimize Kubernetes for cost efficiency & reliability

|
Let the machines optimize the machines | Stefano Doni | Conf42: SRE 2021

Let the machines optimize the machines | Stefano Doni | Conf42: SRE 2021

|
Optimize Kubernetes costs while matching your application SLO using AI | Stefano Doni

Optimize Kubernetes costs while matching your application SLO using AI | Stefano Doni

|
How to optimize your K8S Cluster- with Stefano Doni

How to optimize your K8S Cluster- with Stefano Doni

|
How AI Optimization will debunk 4 long-standing Java Tuning Myths, by Stefano Doni

How AI Optimization will debunk 4 long-standing Java Tuning Myths, by Stefano Doni

|
#NeotysPAC 2019 Virtual Stefano Doni

#NeotysPAC 2019 Virtual Stefano Doni

|
Autonomous Kubernetes Optimization for Cost, Performance and Availability with Sedai

Autonomous Kubernetes Optimization for Cost, Performance and Availability with Sedai

|
Using Machine Learning for Kubernetes Optimization: StormForge Product Demo

Using Machine Learning for Kubernetes Optimization: StormForge Product Demo

|
WEBINAR: SLOs for Kubernetes at Nobl9

WEBINAR: SLOs for Kubernetes at Nobl9

|
SREcon21 - Automating Performance Tuning with Machine Learning

SREcon21 - Automating Performance Tuning with Machine Learning

|
Using SLOs for Continuous Performance Optimizations of Your K8s Workloads - Andreas Grabner

Using SLOs for Continuous Performance Optimizations of Your K8s Workloads - Andreas Grabner

|
NSDI '21 - On the Use of ML for Blackbox System Performance Prediction

NSDI '21 - On the Use of ML for Blackbox System Performance Prediction

|
Using SLOs for Continuous Performance Optimizations of Your k8s Workloads

Using SLOs for Continuous Performance Optimizations of Your k8s Workloads

|
Solving the Kubernetes Complexity Gap by Optimizing With Machine Learning

Solving the Kubernetes Complexity Gap by Optimizing With Machine Learning

|
8 Cloud Cost Optimization Tactics for Kubernetes

8 Cloud Cost Optimization Tactics for Kubernetes

|
K8s Strategy: Optimizing Kubernetes Resources

K8s Strategy: Optimizing Kubernetes Resources

|
SLOconf 2021: SLOs for production grade Kubernetes - by Bhargav Bhikkaji

SLOconf 2021: SLOs for production grade Kubernetes - by Bhargav Bhikkaji

|
Autonomous performance optimization Presenter Akamas

Autonomous performance optimization Presenter Akamas

|
Akamas: Performance Optimization for Banking apps

Akamas: Performance Optimization for Banking apps

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle