Heptio Contour - talk CNCF Nantes

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Heptio Contour How it works ?

CONFIDENTIELCONFIDENTIEL
Contour
CNCF Nantes Meetup - 10 décembre 2018

@Gaelleacas
Développeuse

Kubernetes cluster
Michael Gasch (VMware)
“Autonomous processes reacting to events from the API server”

Kubernetes : Services
https
Expose Pods
node
ClusterIp: no external access
NodePort: open port on all nodes
 
app=app1
service
 
service
app=app2
 
app=app1
Pod
 
app=app1
Pod
 
Pod
app=app2
 
Pod
app=app2
type: LoadBalancer

Kubernetes : Ingress
https
Expose Services
node
LoadBalancer: Expose to the world
NodePort: open port on all nodes
 
app=app1
service
 
service
app=app2
 
app=app1
Pod
 
app=app1
Pod
 
Pod
app=app2
 
Pod
app=app2
type: ClusterIp
Ingress

Kubernetes : Ingress
Ingress Controller 
 
Component that allows to control a reverse-proxy (nginx / traeﬁk …)
Ingress resource:
Rule that deﬁnes routing to a service in a cluster

Contour
by Craig McLuckie & Joe Beda
API objects
Manage Network 
trafﬁc translate
watch
Contour
(Ingress, Service et Endpoint)
(json)
How it works ?

Ingress in  
Multi-team
https://santa.local
https://santa.local/legohttps://santa.local/playmo
Ingress
Cluster
namespace 
playmo
namespace
lego
namespace
santa
BigBoss

DEMO
Install: https://j.hept.io/contour-deployment-rbac

Ingress 
‟Achilles’ heel of a multi-team cluster”
Not progressed beyond the beta stage v1.1🤨
Ingress / services in same namespace☹
Explosion of annotations🤯
No safeguards to avoid accidental changes☠
Deployment strategy
canaryblue/green
👾

Contour 
IngressRoute to the rescue
Demo is better !
Custom resource deﬁnition (k8s > 1.10)
Cross-namespaces
Enables delegation of routing conﬁguration
Safeguard
💡
🚀
)
*

Other good features
Demo :)
Websocket
Permit Insecure route (acme-challenge)
Preﬁx Rewrite Support
Blue/Green CanaryDeployment strategy🔀
🔓
🧦
/

Lost in routes ?
Directed acyclic graph
(Dag)
Envoy admin interface (No UI)
Kubectl -n heptio-contour port-forward [CONTOUR_POD] 6060

Contour What Next ?
Kubernetes multi-cluster ingressGimbal

Resources / Links
kubernetes.slack.com : Contour
https://github.com/heptio/contour
🎦 https://github.com/heptio/tgik
https://github.com/heptio/gimbal
Thank God It's Friday K8s

MERCI
:)

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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Explore the latest trends and insights on JavaScript usage with Pixlogix's informative blog. Discover key statistics and facts about JavaScript's role in web development, its popularity among developers, and its impact on modern websites. Stay updated with the evolving landscape of JavaScript frameworks and libraries, and learn how they're shaping the future of web development. Gain valuable insights to enhance your JavaScript skills and stay ahead in the digital realm.

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The integration landscape is changing rapidly with the introduction of technologies like GraphQL, gRPC, stream processing, iPaaS, and platformless. However, not all existing applications and industries can keep up with these new technologies. Certain industries, like manufacturing, logistics, and finance, still rely on well-established EDI-based message formats. Some applications use XML or CSV with file-based communications, while others have strict on premises deployment requirements. This talk focuses on how Ballerina's built-in integration capabilities can bridge the gap between "old" and "new" technologies, modernizing enterprise applications without disrupting business operations.

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1. CONFIDENTIELCONFIDENTIEL Contour CNCF Nantes Meetup - 10 décembre 2018

2. @Gaelleacas Développeuse

3. Kubernetes cluster Michael Gasch (VMware) “Autonomous processes reacting to events from the API server”

4. Kubernetes : Services https Expose Pods node ClusterIp: no external access NodePort: open port on all nodes   app=app1 service   service app=app2   app=app1 Pod   app=app1 Pod   Pod app=app2   Pod app=app2 type: LoadBalancer

5. Kubernetes : Ingress https Expose Services node LoadBalancer: Expose to the world NodePort: open port on all nodes   app=app1 service   service app=app2   app=app1 Pod   app=app1 Pod   Pod app=app2   Pod app=app2 type: ClusterIp Ingress

6. Kubernetes : Ingress Ingress Controller    Component that allows to control a reverse-proxy (nginx / traeﬁk …) Ingress resource: Rule that deﬁnes routing to a service in a cluster

7. Contour by Craig McLuckie & Joe Beda API objects Manage Network  trafﬁc translate watch Contour (Ingress, Service et Endpoint) (json) How it works ?

9. Ingress in   Multi-team https://santa.local https://santa.local/legohttps://santa.local/playmo Ingress Cluster namespace  playmo namespace lego namespace santa BigBoss

10. DEMO Install: https://j.hept.io/contour-deployment-rbac

11. Ingress  ‟Achilles’ heel of a multi-team cluster” Not progressed beyond the beta stage v1.1🤨 Ingress / services in same namespace☹ Explosion of annotations🤯 No safeguards to avoid accidental changes☠ Deployment strategy canaryblue/green 👾

12. Contour  IngressRoute to the rescue Demo is better ! Custom resource deﬁnition (k8s > 1.10) Cross-namespaces Enables delegation of routing conﬁguration Safeguard 💡 🚀 ) *

13. Other good features Demo :) Websocket Permit Insecure route (acme-challenge) Preﬁx Rewrite Support Blue/Green CanaryDeployment strategy🔀 🔓 🧦 /

14. Lost in routes ? Directed acyclic graph (Dag) Envoy admin interface (No UI) Kubectl -n heptio-contour port-forward [CONTOUR_POD] 6060

15. Contour What Next ? Kubernetes multi-cluster ingressGimbal

16. Resources / Links kubernetes.slack.com : Contour https://github.com/heptio/contour 🎦 https://github.com/heptio/tgik https://github.com/heptio/gimbal Thank God It's Friday K8s