It's been a long time since I (co)wrote a blogpost!
It's been a lot of fun to work with @zroubalik and @kedifyio to make Java run in the cloud the way the cloud was designed to run - elastically, helping the application, not hurting it.
https://t.co/7wFmbrqFzV
We pushed @kedaorg with HPA to 5,000 workloads and compared it with KPA to find the best autoscaling architecture for large Kubernetes clusters.
What has your experience been with autoscaling at this scale?
Join @zroubalik at KubeCon Atlanta for Atlanta-themed swag and the @YamlGames!
The @kedifyio team wants to hear about your scaling challenges at Booth 1670
Plus, catch his KEDA maintainer update on Thursday to learn the latest project developments: https://t.co/jUOBAoaw1O
Great to partner with @kedifyio to drive the next wave of cloud optimization.
With @Arm-based infrastructure, Kedify customers see major gains in both cost and energy efficiency, helping platform teams scale smarter, not harder.
Learn more here: https://t.co/g8xBR48ycd
🚀 KEDA v2.18.0 is here!
✨ New scalers:
🔧 Forgejo
🔧 Solace Direct Messaging
🔧 SolarWinds
🔧 Splunk Observability Cloud
🔧 Sumo Logic
🛠️ Fallback support for Value metric triggers
⚡ Tons of improvements & fixes
👉 https://t.co/yBROF4NVum
💙 Thanks to all contributors!
🚀 200x traffic handling. Zero downtime. Lower costs.
Learn how Kedify empowered @TAOTesting with HTTP-based autoscaling using our @kedaorg based solution.
Read the case study 👉 https://t.co/r1v820e4qh
#Autoscaling#EdTech#CloudInnovation
Autoscaling Kubernetes is hard! Sometimes HPA isn’t enough... Enter KEDA
Day 3 of 30 Days of CNCF Projects is live! 🎥
Learn what KEDA is, how it works, and watch a live demo!
Watch here 👉 https://t.co/VK07H5rWoB
Shoutout to @kedifyio@LidlGB@CloudNativeFdn!
#KEDA
We are happy to release KEDA 2.15.0 🥳
⚡️Here are some highlights released:
- Add @Dynatrace Scaler
- Add @splunk Scaler
- Scalers are properly closed after being refreshed
📋Release Notes:
https://t.co/smV1fb6uNE
🚀 Exciting news! We’ve launched our production-ready HTTP Scaler for @kedaorg.
Enhance your #Kubernetes autoscaling with Kedify.
Learn more in our blog post:
https://t.co/50F1UfgCwr
Scale smarter, not harder with @kedaorg and @AWS Metrics for Kubernetes 🚀. Learn how to leverage event-driven metrics for autoscaling that truly matches your application's needs. #Kubernetes#AWS#KEDA
https://t.co/5mi8XzuHml
We are happy to release KEDA HTTP Add-on 0.7.0 🎉
⚡️Here are highlights:
- Support for any resource which implements "/scale" subresource
- Several fixes on different components
📷https://t.co/HAR9mE2ZyF…… #kubernetes#autoscaling#keda#http-add-on
📢 KEDA v2.13.0 is out - https://t.co/RnbxmAx6cF
Highlights ⚡
- GCP Secret Manager & config map support in trigger authentication
- CloudEvents in KEDA allowing end-users to extend (Experimental)
- Support for Amazon managed service for Prometheus
- ..
#kubernetes#autoscaling
Revolutionizing Kubernetes Jobs: @kedaorg introduces a smarter way to schedule long-running executions based on real demands. A game-changer for DevOps! #Kubernetes#Autoscaling
https://t.co/jqrbhSe8rE
I've just returned from a tropical island and found this at home. Thanks a lot @giantswarm for the second Xmas. I will miss you folks. Another update: I am joining @kedifyio soon.
Ready to boost your @apachekafka consumer's performance? This blog shows you the dynamic way forward with @kedaorg .
KEDA + Kafka: Improve performance by 62.15% at peak loads
https://t.co/jHT5F17ZNn
Ready to boost your @apachekafka consumer's performance? This blog shows you the dynamic way forward with @kedaorg .
KEDA + Kafka: Improve performance by 62.15% at peak loads
https://t.co/jHT5F17ZNn