linter run

content/day2/02_ai_keynote.md

@@ -37,4 +37,4 @@ A podium discussion (somewhat scripted) lead by Pryanka
 * Anything else
   * Jeff: How do we bring our awesome tools (monitoring, logging, security) to the new AI world
   * Paige: Currently many people just use paid apis to abstract the infra, but we need this stuff selfhostable
-  * Tim: I don'T want to know about the hardware, the whole infra side should be done by the cloudnative teams to let ML-Engi to just be ML-Engi
+  * Tim: I don'T want to know about the hardware, the whole infra side should be done by the cloudnative teams to let ML-Engi to just be ML-Engine

content/day2/03_accelerating_ai_workloads.md

@@ -51,4 +51,4 @@ Kevin and Sanjay from NVIDIA
 
 * There are different KPIs: starvation, prioprity, occupanccy, fainrness
 * Challenge: What to choose (the multi-dimensional decision problemn)
-* Needed: A scheduler that can balance the dimensions
+* Needed: A scheduler that can balance the dimensions

content/day2/04_sponsored_ai_platform.md

@@ -22,4 +22,4 @@ Jorge Palma from Microsoft with a quick introduction.
   * Deployment
 * Simple CRD that decribes a model, infra and have fun
 * Creates inferance endpoint
-* Models are currently 10 (Hugginface, LLMA, etc)
+* Models are currently 10 (Hugginface, LLMA, etc)

content/day2/05_performance_sustainability.md

@@ -16,4 +16,4 @@ It was pretty scripted with prepared (sponsor specific) slides for each question
 * Smaller LLMs on cpu only is preyy cost efficient
 * Better scheduling by splitting into storage + cpu (prepare) and gpu (run) nodes to create a just-in-time flow
 * Software acceleration is cool, but we should use more specialized hardware and models to run on CPUs
-* We should be flexible regarding hardware, multi-cluster workloads and hybrig (onprem, burst to cloud) workloads
+* We should be flexible regarding hardware, multi-cluster workloads and hybrig (onprem, burst to cloud) workloads

content/day2/06_newsshow_ai_edition.md

@@ -27,9 +27,9 @@ PAtrick Ohly Joined for DRA
 
 * Kube is the seed for the AI infra plant
 * Kubeflow users wanted AI registries
-* LLM on the edge 
+* LLM on the edge
 * Opentelemetry bring semandtics
-* All of these tools form a symbiosis between 
+* All of these tools form a symbiosis between
 * Topics of discussions
 
 ### The working group AI
@@ -39,7 +39,7 @@ PAtrick Ohly Joined for DRA
 * The landscape "cloudnative and ai" is WIP and will be merged into the main CNCF landscape
 * The future focus will be on security and cost efficiency (with a hint of sustainability)
 
-### LFAI and CNCF 
+### LFAI and CNCF
 
 * The direcor of the AI foundation talks abouzt ai and cloudnative
-* They are looking forward to more colaboraion
+* They are looking forward to more colaboraion

content/day2/08_multicloud_saas.md

@@ -45,7 +45,6 @@ A talk by elastic.
 I won't copy the explanations of operators/controllers in this notes
 {{% /notice %}}
 
-
 * Many different controllers, including (but not limited to)
   * cluster controler: Register cluster to controller
   * Project controller: Schedule user's project to cluster
@@ -70,7 +69,7 @@ I won't copy the explanations of operators/controllers in this notes
 * Potential solutions: Replace etcd with the external db
 * Chosen solution:
   * The controllers don't use CRDs for storage, but they expose a webapi
-  * Reconciliation still now interacts with the external db and go channels (que) instead 
+  * Reconciliation still now interacts with the external db and go channels (que) instead
   * Then the CRs for the operators get created by the global controller
 
 ### Large scale

content/day2/09_safety_usability_auth.md

@@ -28,7 +28,7 @@ A talk by Google and Microsoft with the premise of bether auth in k8s.
 * Gateway Solution:
   * Gateway TLS secret ref includes a namespace
   * ReferenceGrant pretty mutch allows referencing from X (Gatway) to Y (Secret)
-* Limits: 
+* Limits:
   * Has to be implemented via controllers
   * The controllers still have readall - they just check if they are supposed to do this
 
@@ -85,4 +85,4 @@ A talk by Google and Microsoft with the premise of bether auth in k8s.
 ## Meanwhile
 
 * Prefer tools that support isolatiobn between controller and dataplane
-* Disable all non-needed features -> Especially scripting
+* Disable all non-needed features -> Especially scripting

content/day2/99_networking.md

@@ -12,7 +12,7 @@ Who have I talked to today, are there any follow-ups or learnings?
 
 ## Flux
 
-* We talked about automatic helm release updates (lessons learned from flux)[/lessons_learned/02_flux]
+* We talked about automatic helm release updates [lessons learned from flux](/lessons_learned/02_flux)
 
 ## Cloudfoundry/Paketo
 

content/day2/_index.md

@@ -8,4 +8,4 @@ Day two is also the official day one of KubeCon (Day one was just CloudNativeCon
 This is where all of the people joined (over 2000)
 
 The opening keynotes were a mix of talks and panel discussions.
-The main topic was - who could have guessed - AI and ML.
+The main topic was - who could have guessed - AI and ML.