MongoDB Ops Manager is an enterprise-grade end-to-end database management, monitoring, and backup solution. Kubernetes has clearly won the orchestration-platform "wars". In this session we'll take a deep dive on how you can leverage both these technologies to host your MongoDB deployments within your Kubernetes infrastructure whether that's OpenShift, PKS, Azure AKS, or just upstream. This talk will review the core technologies, such as containers, Kubernetes, and MongoDB Ops Manager. You'll also have a chance to see real-live demos of MongoDB running on Kubernetes and managed with MongoDB Ops Manager with the MongoDB Enterprise Kubernetes Operator.
Presented by: Jason Mimick
Technical Director, MongoDB
MongoDB Ops Manager is an enterprise-grade end-to-end database management, monitoring, and backup solution. Kubernetes has clearly won the orchestration-platform "wars". In this session we'll take a deep dive on how you can leverage both these technologies to host your MongoDB deployments within your Kubernetes infrastructure whether that's OpenShift, PKS, Azure AKS, or just upstream. This talk will review the core technologies, such as containers, Kubernetes, and MongoDB Ops Manager. You'll also have a chance to see real-live demos of MongoDB running on Kubernetes and managed with MongoDB Ops Manager with the MongoDB Enterprise Kubernetes Operator.
Centralizing Kubernetes Management in Restrictive EnvironmentsKublr
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into existing enterprise infrastructure.
This is especially true for environments where security and governance requirements are so strict as to come into conflict with the cloud-native reference architectures.
During his presentation, Oleg will outline a plan that leverages open source cloud-native technologies while meeting enterprise security and governance requirements. He’ll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs; what’s needed for a general architecture of a centralized Kubernetes operations layer based on open source components such as Prometheus, Grafana, ELK Stack, Keycloak, etc.
The presentation will cover basic requirements for audit, security, authentication, authorization, integration with existing identity management, logging, and monitoring. Additionally, the audience will learn whether cloud-hosted Kubernetes cover these requirements, how to integrate a compliant Kubernetes installation with their existing cloud infrastructure, the limitations of a bare-metal installation, interactions with vSphere’s API, achieving HA, reliability and disaster recovery, as well as handling OS upgrades, security patches, and Kubernetes upgrades.
This presentation explains the basics of Kubernetes ingress traffic management functionality, and how it can be used to simplify managing applications across different environments - in the cloud or on premise.
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into existing enterprise infrastructure. This is especially true for environments where security and governance requirements are so strict as to come into conflict with the cloud-native reference architectures.
This deck will outline a plan that leverages Kubernetes as an infrastructure abstraction (hint: there is a lot more to it than just container orchestration!). Such an approach allows enterprises to untie themselves from infrastructure provider-specific technology stack and free development to use whichever tool fits their use case best. But how do you implement open source cloud-native technologies while meeting enterprise security and governance requirements? We’ll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs; what’s needed for a general architecture of a centralized Kubernetes operations layer based on open source components such as Prometheus, Grafana, ELK Stack, Keycloak, etc.
Self-healing does not equal self-healing. There are multiple layers
to it, whether a self-healing infrastructure, cluster, pods, or Kubernetes. Kubernetes itself ensures self-healing pods. But how do you ensure your applications, whose reliability depends on every single layer, are truly reliable?
In this presentation we discuss aspects of reliability and self-healing in the different layers of a comprehensive container management stack; what Kubernetes does and doesn't do (at least not by default), and what you should look out for to ensure true reliable applications.
Zero-downtime deployment of Micro-services with KubernetesWojciech Barczyński
Talk on deployment strategies with Kubernetes covering kubernetes configuration files and the actual implementation of your service in Golang.
You will find demos for recreate, rolling updates, blue-green, and canary deployments.
Source and demos, you will find on github: https://github.com/wojciech12/talk_zero_downtime_deployment_with_kubernetes
Presented by: Jason Mimick
Technical Director, MongoDB
MongoDB Ops Manager is an enterprise-grade end-to-end database management, monitoring, and backup solution. Kubernetes has clearly won the orchestration-platform "wars". In this session we'll take a deep dive on how you can leverage both these technologies to host your MongoDB deployments within your Kubernetes infrastructure whether that's OpenShift, PKS, Azure AKS, or just upstream. This talk will review the core technologies, such as containers, Kubernetes, and MongoDB Ops Manager. You'll also have a chance to see real-live demos of MongoDB running on Kubernetes and managed with MongoDB Ops Manager with the MongoDB Enterprise Kubernetes Operator.
Centralizing Kubernetes Management in Restrictive EnvironmentsKublr
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into existing enterprise infrastructure.
This is especially true for environments where security and governance requirements are so strict as to come into conflict with the cloud-native reference architectures.
During his presentation, Oleg will outline a plan that leverages open source cloud-native technologies while meeting enterprise security and governance requirements. He’ll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs; what’s needed for a general architecture of a centralized Kubernetes operations layer based on open source components such as Prometheus, Grafana, ELK Stack, Keycloak, etc.
The presentation will cover basic requirements for audit, security, authentication, authorization, integration with existing identity management, logging, and monitoring. Additionally, the audience will learn whether cloud-hosted Kubernetes cover these requirements, how to integrate a compliant Kubernetes installation with their existing cloud infrastructure, the limitations of a bare-metal installation, interactions with vSphere’s API, achieving HA, reliability and disaster recovery, as well as handling OS upgrades, security patches, and Kubernetes upgrades.
This presentation explains the basics of Kubernetes ingress traffic management functionality, and how it can be used to simplify managing applications across different environments - in the cloud or on premise.
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into existing enterprise infrastructure. This is especially true for environments where security and governance requirements are so strict as to come into conflict with the cloud-native reference architectures.
This deck will outline a plan that leverages Kubernetes as an infrastructure abstraction (hint: there is a lot more to it than just container orchestration!). Such an approach allows enterprises to untie themselves from infrastructure provider-specific technology stack and free development to use whichever tool fits their use case best. But how do you implement open source cloud-native technologies while meeting enterprise security and governance requirements? We’ll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs; what’s needed for a general architecture of a centralized Kubernetes operations layer based on open source components such as Prometheus, Grafana, ELK Stack, Keycloak, etc.
Self-healing does not equal self-healing. There are multiple layers
to it, whether a self-healing infrastructure, cluster, pods, or Kubernetes. Kubernetes itself ensures self-healing pods. But how do you ensure your applications, whose reliability depends on every single layer, are truly reliable?
In this presentation we discuss aspects of reliability and self-healing in the different layers of a comprehensive container management stack; what Kubernetes does and doesn't do (at least not by default), and what you should look out for to ensure true reliable applications.
Zero-downtime deployment of Micro-services with KubernetesWojciech Barczyński
Talk on deployment strategies with Kubernetes covering kubernetes configuration files and the actual implementation of your service in Golang.
You will find demos for recreate, rolling updates, blue-green, and canary deployments.
Source and demos, you will find on github: https://github.com/wojciech12/talk_zero_downtime_deployment_with_kubernetes
Kubernetes was originally targeted for running large scale web applications.
I/O intensive workload represents a class of high-end applications such as network services, trading applications, database services that require high-speed access to hardware resources and often users specific hardware or CPU features to maximize their performance.
Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
Canary Releases on Kubernetes with Spinnaker, Istio, & Prometheus (2020)Kublr
In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, the gradual rollout is a feature that doesn’t come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.
During this meetup, Slava will discuss canary release implementations on Kubernetes with Spinnaker, Istio, and Prometheus. He’ll examine the role of each tool in the process and how they are all connected. During a demo, he will demonstrate a successful and failed canary release, and how these tools enable IT teams, to properly roll out changes to their customer base without any downtime.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
Lessons learned with kubernetes in productionat PlayPassPeter Vandenabeele
Lessons learned with kubernetes in productionat PlayPass, presented at the 6th Docker Birthday Meetup in Antwerpen. What went well and what are some open issues. Also, we discussed some security measures after the presentations.
Kubernetes (K8s) is a powerful, flexible and portable open source framework for distributed containerized applications delivery and management. An important part of the services provided by most Kubernetes clusters is the containers’ networking stack. In most cases and for many applications it “just works”, but this seeming simplicity is backed by a complex stack of technologies that provide many capabilities beyond the basics.
This presentation accompanies the meetup and webinar where Oleg Chunikhin, CTO at Kublr, shows how Kubernetes networking stack works, describes main components, interfaces and extensibility options.
What is covered:
- general notions of Kubernetes networking - Pods and Network Policies
- implementation of Kubernetes networking - CNI, CNI plugins, and Linux network namespaces
- some Kubernetes CNI providers: Calico, Weave, Flanel, and Canal
- K8S networking extensibility for advanced and “exotic” use-cases with Multus CNI plugin as an example
Architecture of Cisco Container Platform: A new Enterprise Multi-Cloud Kubern...Sanjeev Rampal
Introduction to the architecture of Cisco Container Platform. This is a new offering from Cisco and is an enterprise grade Multi-Cloud Kubernetes based Container platform.. The presentation covers overall architecture, internal details on networking storage, operations and automation as well as multi-cloud features including the use of this platform alongwith hosted Kubernetes offerings from AWS (EKS) and Google (GKE)
Service meshes are all the buzz in cloud-native world.
How come only yesterday we didn't know such a thing existed and now everybody seems to want one?
If you're already running a microservice-based system or only starting out with one — you may be asking yourself: "Do I also need a mesh?"
In this session we'll try to answer what the mesh is good for, what problems it solves, what new questions it poses.
More specifically we will:
explore the SMI Spec;
understand why everybody wants a mesh;
see how the mesh helps with progressive delivery;
discuss if it's time for you to get into the mesh.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this meetup Oleg Chunikhin, CTO at Kublr, described best practices for “configuration as code” in a Kubernetes environment. He demonstrated how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules and services, can be used to abstract from the infrastructure.
Canary Releases on Kubernetes w/ Spinnaker, Istio, and PrometheusKublr
In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, gradual rollouts is a feature that doesn't come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.
During this meetup, Slava Koltovich, CEO of Kublr, and Oleg Atamanenko, Senior Software Architect, discussed canary release implementations on Kubernetes with Spinnaker, Istio, and Prometheus. They examined the role of each tool in the process and how they are all connected. During a demo, they demonstrated a successful and a failed canary release, and how these tools enable IT teams to properly roll out changes to their customer base without any downtime.
Helm is a package manager for Kubernetes. It helps streamline installing and managing applications. This session covers prerequisites for Helm, which include a basic understanding of containers and Kubernetes along with its architecture. It also covers the limitations that come with running deployments using the kubectl binary, Helm's architecture, templating with it and finally ends on a note highlighting the difference between versions 2 and 3.
Ever wondered how the K8s scheduler works, and how can you “help” it make the right decision for your application? In this session, we'll cover several different scheduling use-cases in K8s, what scheduling techniques are required in each and when to use them.
Centralizing Kubernetes and Container OperationsKublr
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into an existing enterprise infrastructure.
These meetup slides go over what’s needed for a general architecture of a centralized Kubernetes operations layer based on open source components such as Prometheus, Grafana, ELK Stack, Keycloak, etc., and how to set up reliable clusters and multi-master configuration without a load balancer. It also outlines how these components should be combined into an operations-friendly enterprise Kubernetes management platform with centralized monitoring and log collection, identity and access management, backup and disaster recovery, and infrastructure management capabilities. This presentation will show real-world open source projects use cases to implement an ops-friendly environment.
Check out this and more webinars in our BrightTalk channel: https://goo.gl/QPE5rZ
When you are designing a production environment security is essential. All the Docker ecosystem but in particular Docker Swarm allows us to ship our containers out of our laptop, how can we make this process safe? During my talk, I will share tips around production environment, immutability and how troubleshooting common attack as code injection with Docker. Static analysis of our images, content trust with Notary to make our journey secure.
How can we setup a cluster on the main cloud providers with VPN and node labeling to expose only a portion of our cluster? I will also show what Docker provides (Content Trust, Static Analysis) but also open source alternatives as Notary, centos/clair and Cilium.
In the end of this talk, we had a better idea around how manage Docker in production.
Running MongoDB Enterprise on KubernetesAriel Jatib
Video : https://www.youtube.com/watch?v=vmIOCYZRZu4&t=2908s
Slides from Jason Mimicks presentation at the June 2018 Chicago Kubernetes Meetup - video here : https://youtu.be/vmIOCYZRZu4?t=48m28s
Cloud-native .NET Microservices mit KubernetesQAware GmbH
BASTA! 2017, Mainz: Talk von Mario-Leander Reimer (@LeanderReimer, Cheftechnologe bei QAware).
Cloud-Größen wie Google, Twitter und Netflix haben die Kernbausteine ihrer Infrastruktur quelloffen verfügbar gemacht. Das Resultat aus vielen Jahren Cloud-Erfahrung ist nun frei zugänglich, und jeder kann seine eigenen Cloud-nativen Anwendungen entwickeln – Anwendungen, die in der Cloud zuverlässig laufen und fast beliebig skalieren. Die einzelnen Bausteine wachsen zu einem großen Ganzen zusammen, dem Cloud-Native-Stack. In dieser Session stellen wir die wichtigsten Konzepte und aktuellen Schlüsseltechnologien kurz vor. Anschließend implementieren wir einen einfachen Microservice mit .NET Core und Steeltoe OSS und bringen ihn zusammen mit ausgewählten Bausteinen für Service-Discovery und Konfiguration schrittweise auf einem Kubernetes-Cluster zum Laufen.
Kubernetes was originally targeted for running large scale web applications.
I/O intensive workload represents a class of high-end applications such as network services, trading applications, database services that require high-speed access to hardware resources and often users specific hardware or CPU features to maximize their performance.
Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
Canary Releases on Kubernetes with Spinnaker, Istio, & Prometheus (2020)Kublr
In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, the gradual rollout is a feature that doesn’t come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.
During this meetup, Slava will discuss canary release implementations on Kubernetes with Spinnaker, Istio, and Prometheus. He’ll examine the role of each tool in the process and how they are all connected. During a demo, he will demonstrate a successful and failed canary release, and how these tools enable IT teams, to properly roll out changes to their customer base without any downtime.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
Lessons learned with kubernetes in productionat PlayPassPeter Vandenabeele
Lessons learned with kubernetes in productionat PlayPass, presented at the 6th Docker Birthday Meetup in Antwerpen. What went well and what are some open issues. Also, we discussed some security measures after the presentations.
Kubernetes (K8s) is a powerful, flexible and portable open source framework for distributed containerized applications delivery and management. An important part of the services provided by most Kubernetes clusters is the containers’ networking stack. In most cases and for many applications it “just works”, but this seeming simplicity is backed by a complex stack of technologies that provide many capabilities beyond the basics.
This presentation accompanies the meetup and webinar where Oleg Chunikhin, CTO at Kublr, shows how Kubernetes networking stack works, describes main components, interfaces and extensibility options.
What is covered:
- general notions of Kubernetes networking - Pods and Network Policies
- implementation of Kubernetes networking - CNI, CNI plugins, and Linux network namespaces
- some Kubernetes CNI providers: Calico, Weave, Flanel, and Canal
- K8S networking extensibility for advanced and “exotic” use-cases with Multus CNI plugin as an example
Architecture of Cisco Container Platform: A new Enterprise Multi-Cloud Kubern...Sanjeev Rampal
Introduction to the architecture of Cisco Container Platform. This is a new offering from Cisco and is an enterprise grade Multi-Cloud Kubernetes based Container platform.. The presentation covers overall architecture, internal details on networking storage, operations and automation as well as multi-cloud features including the use of this platform alongwith hosted Kubernetes offerings from AWS (EKS) and Google (GKE)
Service meshes are all the buzz in cloud-native world.
How come only yesterday we didn't know such a thing existed and now everybody seems to want one?
If you're already running a microservice-based system or only starting out with one — you may be asking yourself: "Do I also need a mesh?"
In this session we'll try to answer what the mesh is good for, what problems it solves, what new questions it poses.
More specifically we will:
explore the SMI Spec;
understand why everybody wants a mesh;
see how the mesh helps with progressive delivery;
discuss if it's time for you to get into the mesh.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this meetup Oleg Chunikhin, CTO at Kublr, described best practices for “configuration as code” in a Kubernetes environment. He demonstrated how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules and services, can be used to abstract from the infrastructure.
Canary Releases on Kubernetes w/ Spinnaker, Istio, and PrometheusKublr
In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, gradual rollouts is a feature that doesn't come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.
During this meetup, Slava Koltovich, CEO of Kublr, and Oleg Atamanenko, Senior Software Architect, discussed canary release implementations on Kubernetes with Spinnaker, Istio, and Prometheus. They examined the role of each tool in the process and how they are all connected. During a demo, they demonstrated a successful and a failed canary release, and how these tools enable IT teams to properly roll out changes to their customer base without any downtime.
Helm is a package manager for Kubernetes. It helps streamline installing and managing applications. This session covers prerequisites for Helm, which include a basic understanding of containers and Kubernetes along with its architecture. It also covers the limitations that come with running deployments using the kubectl binary, Helm's architecture, templating with it and finally ends on a note highlighting the difference between versions 2 and 3.
Ever wondered how the K8s scheduler works, and how can you “help” it make the right decision for your application? In this session, we'll cover several different scheduling use-cases in K8s, what scheduling techniques are required in each and when to use them.
Centralizing Kubernetes and Container OperationsKublr
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into an existing enterprise infrastructure.
These meetup slides go over what’s needed for a general architecture of a centralized Kubernetes operations layer based on open source components such as Prometheus, Grafana, ELK Stack, Keycloak, etc., and how to set up reliable clusters and multi-master configuration without a load balancer. It also outlines how these components should be combined into an operations-friendly enterprise Kubernetes management platform with centralized monitoring and log collection, identity and access management, backup and disaster recovery, and infrastructure management capabilities. This presentation will show real-world open source projects use cases to implement an ops-friendly environment.
Check out this and more webinars in our BrightTalk channel: https://goo.gl/QPE5rZ
When you are designing a production environment security is essential. All the Docker ecosystem but in particular Docker Swarm allows us to ship our containers out of our laptop, how can we make this process safe? During my talk, I will share tips around production environment, immutability and how troubleshooting common attack as code injection with Docker. Static analysis of our images, content trust with Notary to make our journey secure.
How can we setup a cluster on the main cloud providers with VPN and node labeling to expose only a portion of our cluster? I will also show what Docker provides (Content Trust, Static Analysis) but also open source alternatives as Notary, centos/clair and Cilium.
In the end of this talk, we had a better idea around how manage Docker in production.
Running MongoDB Enterprise on KubernetesAriel Jatib
Video : https://www.youtube.com/watch?v=vmIOCYZRZu4&t=2908s
Slides from Jason Mimicks presentation at the June 2018 Chicago Kubernetes Meetup - video here : https://youtu.be/vmIOCYZRZu4?t=48m28s
Cloud-native .NET Microservices mit KubernetesQAware GmbH
BASTA! 2017, Mainz: Talk von Mario-Leander Reimer (@LeanderReimer, Cheftechnologe bei QAware).
Cloud-Größen wie Google, Twitter und Netflix haben die Kernbausteine ihrer Infrastruktur quelloffen verfügbar gemacht. Das Resultat aus vielen Jahren Cloud-Erfahrung ist nun frei zugänglich, und jeder kann seine eigenen Cloud-nativen Anwendungen entwickeln – Anwendungen, die in der Cloud zuverlässig laufen und fast beliebig skalieren. Die einzelnen Bausteine wachsen zu einem großen Ganzen zusammen, dem Cloud-Native-Stack. In dieser Session stellen wir die wichtigsten Konzepte und aktuellen Schlüsseltechnologien kurz vor. Anschließend implementieren wir einen einfachen Microservice mit .NET Core und Steeltoe OSS und bringen ihn zusammen mit ausgewählten Bausteinen für Service-Discovery und Konfiguration schrittweise auf einem Kubernetes-Cluster zum Laufen.
Chicago Docker Meetup Presentation - MediaflyMediafly
Bryan Murphy's presentation from the 2nd Chicago Docker meetup on March 12, 2014 at Mediafly HQ. In his presentation, Bryan explains how we use Docker right now at Mediafly in production.
Come costruire una Platform As A Service con Docker, Kubernetes Go e JavaCodemotion
"Come costruire una Platform As A Service con Docker, Kubernetes Go e Java" by Massimiliano Dessì
Per automatizzare la CI e la CD, durante sviluppo, test, in preproduzione e in produzione si utilizzano le tecniche chiamate attualmente DevOps, in locale con Vagrant oppure su una PAAS su cloud, privati o pubblici. Possiamo costruire una PAAS scalabile utilizzando solo Docker, Docker e Kubernetes oppure soluzioni già pronte come Openshift 3 (che sta sopra Docker e Kubernetes). Nella presentazione vedremo come avere questi tre tipi di PAAS con in più uno strato di orchestrazione in GO/Java e Ansible per automatizzare il comportamento in base ad eventi monitorati
Cloud native applications are popular these days. They promise superior reliability and almost arbitrary scalability. They follow three key principles: they are built and composed as microservices. They are packaged and distributed in containers. The containers are executed dynamically in the cloud. But which technology is best to build this kind of application? This talk will be your guidebook.
In this hands-on session, we will briefly introduce the core concepts and some key technologies of the cloud native stack and then show how to build, package, containerize, compose and orchestrate a cloud native showcase application on top of a cluster operating system such as Kubernetes or OpenShift. Throughout the session we will be using an off-the-shelf MIDI controller to visualize the concepts and to remote control the cluster.
Container Days 2017 conference. @ConDaysEU #CDS17 #qaware #CloudNativeNerd @LeanderReimer
A hitchhiker‘s guide to the cloud native stackQAware GmbH
Container Days 2017, Hamburg: Vortrag von Mario-Leander Reimer (@LeanderReimer, Cheftechnologe bei QAware).
Abstract: Cloud-Größen wie Google, Twitter und Netflix haben die Kernbausteine ihrer Infrastruktur quelloffen verfügbar gemacht. Das Resultat aus vielen Jahren Cloud-Erfahrung ist nun frei zugänglich, und jeder kann seine eigenen Cloud-nativen Anwendungen entwickeln – Anwendungen, die in der Cloud zuverlässig laufen und fast beliebig skalieren. Die einzelnen Bausteine wachsen zu einem großen Ganzen zusammen, dem Cloud Native Stack.
In dieser Session stellen wir die wichtigsten Konzepte und Schlüsseltechnologien vor und bringen dann eine Spring-Cloud-basierte Beispielanwendung schrittweise auf Kubernetes und DC/OS zum Laufen. Dabei diskutieren wir verschiedene praktikable Architekturalternativen.
Nebulaworks invited Bitnami's software engineer, Adnan Abdulhussein to present on, "The App Developer's Kubernetes Toolbox."
Details:
If you're developing applications on top of Kubernetes, you may be feeling overwhelmed with the vast number of development tools in the ecosystem at your disposal. Kubernetes is growing at a rapid pace, and it's becoming impossible to keep up with the latest and greatest development environments, debuggers, and build test and deployment tools.
Learn:
• The current state of development in Kubernetes
• Comparison of shared and local Kubernetes development environments
• Overview of different development tools in the ecosystem
• Which tools make sense in common scenarios
• How Bitnami uses Kubernetes as a development environment
Cloud Native Night, April 2018, Mainz: Workshop led by Jörg Schad (@joerg_schad, Technical Community Lead / Developer at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night/
PLEASE NOTE:
During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
DETAILS ABOUT THE WORKSHOP:
Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Francisco Javier Ramírez Urea - IT Architect, Hoplasoftware
Guillaume Morini - SE, Docker
The integration of Kubernetes orchestration into the Docker Enterprise Platform presents deployments with interesting new abstractions for application connectivity. Devs and Ops are often challenged with rationalizing how pod networking (with CNI plugins like Calico or Flannel), Services (via kube-proxy) and Ingress work in concert to enable application connectivity within and outside a cluster. Similarly, given the dynamic and transient nature of containerized microservice workloads, how to leverage scalable and declarative approaches like network policies to express segmentation and security primitives. This session provides an illustrative walkthrough of these core concepts by going through common deployment architectures providing design, operations, and scale considerations based on experience from numerous production deployments. We will discuss Kubernetes publishing methods and deep dive into Ingress Controllers. This session will also showcase how to complement application and operations workflows with policy-driven business, compliance and security controls typically required in enterprise production deployments including going further into limiting traffic to services, session persistence, rewriting, and activating container health checks.
Docker moves very fast, with an edge channel released every month and a stable release every 3 months. Patrick will talk about how Docker introduced Docker EE and a certification program for containers and plugins with Docker CE and EE 17.03 (from March), the announcements from DockerCon (April), and the many new features planned for Docker CE 17.05 in May.
This talk will be about what's new in Docker and what's next on the roadmap
Cloud-Größen wie Google, Twitter und Netflix haben die Kernbausteine ihrer Infrastruktur quelloffen verfügbar gemacht. Das Resultat aus vielen Jahren Cloud-Erfahrung ist nun frei zugänglich, und jeder kann seine eigenen Cloud-nativen Anwendungen entwickeln – Anwendungen, die in der Cloud zuverlässig laufen und fast beliebig skalieren. Die einzelnen Bausteine wachsen zu einem großen Ganzen zusammen, dem Cloud-Native-Stack. In dieser Session stellen wir die wichtigsten Konzepte und aktuellen Schlüsseltechnologien kurz vor. Anschließend implementieren wir einen einfachen Microservice mit .NET Core und Steeltoe OSS und bringen ihn zusammen mit ausgewählten Bausteinen für Service-Discovery und Konfiguration schrittweise auf einem Kubernetes-Cluster zum Laufen. @BASTAcon #BASTA17 @qaware #CloudNativeNerd
https://basta.net/microservices-services/cloud-native-net-microservices-mit-kubernetes/
Cloud Native Night November 2017, Munich: Talk by Mario-Leander Reimer (@LeanderReimer, Principal Software Architect at QAware).
Join our Meetup: www.meetup.com/cloud-native-muc
Abstract: Until today existing enterprise applications are integrated, tested, and deployed as monoliths. This is very time-consuming and hinders agile business models. Cloud technology promises unlimited scalability, short release cycles, quick deployments and antifragility. But can we evolve these systems into the cloud with reasonable effort? What do we have to change and what are the risks involved? This talk will share the experiences from a real world customer project and present an industrialized approach for the Cloud-native evolution of existing IT landscapes.
L’Auto Scaling, c’est l’argument phare d’un bon nombre de technologies en Data Engineering. Parmi les outils du moment, on retrouve Kafka-Streams. Avec sa forte intégration au bus de message Apache Kafka, il est pensé pour être un framework distribué capable de passer à l’échelle. Pourtant, dans la pratique, sa seule utilisation est limitée, et l’orchestration de ces applications est généralement nécessaire.
Dans ce talk, nous parlerons de conteneurisation, d’orchestration et de monitoring, qui sont des éléments clefs qui nous permettront de profiter pleinement de la scalabilité des applications Kafka-Streams, le tout autour de technologies comme Kubernetes et Stackdriver.
¨Par Loic Divad, Data Engineer chez Xebia
Overview of Docker 1.11 features(Covers Docker release summary till 1.11, runc/containerd, dns load balancing ipv6 service discovery, labels, macvlan/ipvlan)
Similar to MongoDB.local DC 2018: MongoDB Ops Manager + Kubernetes (20)
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
During this talk we'll navigate through a customer's journey as they migrate an existing MongoDB deployment to MongoDB Atlas. While the migration itself can be as simple as a few clicks, the prep/post effort requires due diligence to ensure a smooth transfer. We'll cover these steps in detail and provide best practices. In addition, we’ll provide an overview of what to consider when migrating other cloud data stores, traditional databases and MongoDB imitations to MongoDB Atlas.
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch".
This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
Query performance should be the unsung hero of an application, but without proper configuration, can become a constant headache. When used properly, MongoDB provides extremely powerful querying capabilities. In this session, we'll discuss concepts like equality, sort, range, managing query predicates versus sequential predicates, and best practices to building multikey indexes.
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Neuro-symbolic is not enough, we need neuro-*semantic*
MongoDB.local DC 2018: MongoDB Ops Manager + Kubernetes
1. Running MongoDB Enterprise
Database Services on
Kubernetes
At your MongoDB.local, you’ll learn technologies, tools, and best practices that make it easy for you to build
data-driven applications without distraction.
3. Agenda
Kubernetes & MongoDB Target Architecture
Demo: installing the MongoDB Operator & Running a replica set
Advanced configurations
Accessing MongoDB services
Release plans: Target GA, Additional Features, OpenShift 3.11
4. Technologies -
Containers
A standardized unit of software
lightweight, standalone, executable
package of software that includes
everything needed to run an application:
code, runtime, system tools, system
libraries and settings
(https://www.docker.com/resources/what-container)
5. Technologies -
Kubernetes
Kubernetes is an open-source
system for automating deployment,
scaling, and management of
containerized applications.
(https://kubernetes.io/)
Important Concepts: Master Node, Worker Nodes,
Pods, Image Repo, API
Requirement: >= v1.9
7. Technologies -
Kubernetes
Operators
An Operator is a method of packaging, deploying
and managing a Kubernetes application. A
Kubernetes application is an application that is
both deployed on Kubernetes and managed using
the Kubernetes APIs and kubectl tooling..
https://www.docker.com/resources/what-container
Kubernetes
MongoDB Ops
Manager
Operator
10. Getting the operator
Official container images
hosted on quay.io
Public GitHub repository
https://github.com/mongodb/mongodb-enterprise-kub
ernetes
16. Deploying a Replica Set
apiVersion: mongodb.com/v1
kind: MongoDbReplicaSet
metadata:
name: chicago-rs1
namespace: mongodb
spec:
members: 3
version: 4.0.0
project: dot-local
credentials: opsmgr-credentials
podSpec:
storageClass: standard
17. kubectl create -f chicago-rs1.yaml
kubectl get all --selector=app=chicago-rs1-svc
NAME READY STATUS RESTARTS AGE
pod/chicago-rs1-0 1/1 Running 12 13h
pod/chicago-rs1-1 1/1 Running 12 13h
pod/chicago-rs1-2 1/1 Running 12 13h
NAME TYPE CLUSTER-IP EXTERNAL-IP
PORT(S) AGE
service/chicago-rs1-svc ClusterIP None <none>
27017/TCP 13h
service/chicago-rs1-svc-external NodePort 10.102.95.40 <none>
27017:30780/TCP 13h
NAME DESIRED CURRENT AGE
statefulset.apps/chicago-rs1 3 3 13h
18. High Availability - replication + statefulset =
kubectl delete pod chicago-rs1-1
pod "chicago-rs1-1" deleted
root@ip-172-31-19-43:~# kubectl get all --selector=app=chicago-rs1-svc
NAME READY STATUS RESTARTS AGE
pod/chicago-rs1-0 1/1 Running 12 13h
pod/chicago-rs1-1 1/1 Running 0 1m
pod/chicago-rs1-2 1/1 Running 12 13h
NAME TYPE CLUSTER-IP EXTERNAL-IP
PORT(S) AGE
service/chicago-rs1-svc ClusterIP None <none>
27017/TCP 13h
service/chicago-rs1-svc-external NodePort 10.102.95.40 <none>
27017:30780/TCP 13h
NAME DESIRED CURRENT AGE
statefulset.apps/chicago-rs1 3 3 13h
19. Scaling
# vim chicago-rs1.yaml
# kubectl apply -f chicago-rs1.yaml
mongodbreplicaset.mongodb.com/chicago-rs1 configured
# kubectl get all --selector=app=chicago-rs1-svc
NAME READY STATUS RESTARTS AGE
pod/chicago-rs1-0 1/1 Running 12 13h
pod/chicago-rs1-1 1/1 Running 0 3m
pod/chicago-rs1-2 1/1 Running 12 13h
pod/chicago-rs1-3 1/1 Running 0 10s
NAME TYPE CLUSTER-IP EXTERNAL-IP
PORT(S) AGE
service/chicago-rs1-svc ClusterIP None <none>
27017/TCP 13h
service/chicago-rs1-svc-external NodePort 10.102.95.40 <none>
27017:30780/TCP 13h
NAME DESIRED CURRENT AGE
statefulset.apps/chicago-rs1 4 4 13h
28. mongodb+srv://
#!/bin/bash
: ${1?"Usage: $0 <MongoDB Service Name>"}
POD_STATE_WAIT_SECONDS=5
SERVICE=$1
DNS_SRV_POD="mongodb-${SERVICE}-dns-srv-test"
SIMPLE_CONNECTION_POD="mongodb-${SERVICE}-connection-test"
echo "MongoDB Enterprise Kubernetes - DNS SRV Connection Test - START"
echo "Testing service '${SERVICE}'"
echo "DNS SRV pod '${DNS_SRV_POD}'"
echo "Connection test pod '${SIMPLE_CONNECTION_POD}'"
kubectl run ${DNS_SRV_POD} --restart=Never --image=tutum/dnsutils -- host -t srv ${SERVICE}
STATE=""
while [ "${STATE}" != "Terminated" ]
do
STATE=$(kubectl describe pod ${DNS_SRV_POD} | grep "State:" | cut -d":" -f2 | tr -d '[:space:]')
if [ "${STATE}" = "Terminated" ]; then break; fi
echo "Polling state for pod '${DNS_SRV_POD}': ${STATE} ...sleeping ${POD_STATE_WAIT_SECONDS}"
sleep ${POD_STATE_WAIT_SECONDS}
done
kubectl logs ${DNS_SRV_POD}
SRV_HOST=$(kubectl logs ${DNS_SRV_POD} | cut -d' ' -f1 | head -1)
echo "Found SRV hostname: '${SRV_HOST}'"
kubectl run ${SIMPLE_CONNECTION_POD} --restart=Never --image=jmimick/simple-mongodb-connection-tester "${SRV_HOST}"
STATE=""
while [ "${STATE}" != "Terminated" ]
do
STATE=$(kubectl describe pod ${SIMPLE_CONNECTION_POD} | grep "State:" | cut -d":" -f2 | tr -d '[:space:]')
if [ "${STATE}" = "Terminated" ]; then break; fi
echo "Polling state for pod '${SIMPLE_CONNECTION_POD}': ${STATE} ...sleeping ${POD_STATE_WAIT_SECONDS}"
sleep ${POD_STATE_WAIT_SECONDS}
done
kubectl logs ${SIMPLE_CONNECTION_POD} | head
echo "...truncating logs, 100 documents should've been inserted..."
kubectl logs ${SIMPLE_CONNECTION_POD} | tail
kubectl delete pod ${DNS_SRV_POD}
kubectl delete pod ${SIMPLE_CONNECTION_POD}
29. ./connection-srv-demo.sh chicago-rs1-svc
MongoDB Enterprise Kubernetes - DNS SRV Connection Test - START
Testing service 'chicago-rs1-svc'
DNS SRV pod 'mongodb-chicago-rs1-svc-dns-srv-test'
Connection test pod 'mongodb-chicago-rs1-svc-connection-test'
pod/mongodb-chicago-rs1-svc-dns-srv-test created
Polling state for pod 'mongodb-chicago-rs1-svc-dns-srv-test': Waiting ...sleeping 5
chicago-rs1-svc.mongodb.svc.cluster.local has SRV record 10 33 0
chicago-rs1-0.chicago-rs1-svc.mongodb.svc.cluster.local.
chicago-rs1-svc.mongodb.svc.cluster.local has SRV record 10 33 0
chicago-rs1-1.chicago-rs1-svc.mongodb.svc.cluster.local.
chicago-rs1-svc.mongodb.svc.cluster.local has SRV record 10 33 0
chicago-rs1-2.chicago-rs1-svc.mongodb.svc.cluster.local.
Found SRV hostname: 'chicago-rs1-svc.mongodb.svc.cluster.local'
pod/mongodb-chicago-rs1-svc-connection-test created
Polling state for pod 'mongodb-chicago-rs1-svc-connection-test': Waiting ...sleeping 5
simple-connection-test: testing connection to chicago-rs1-svc.mongodb.svc.cluster.local
Creating and reading 100 docs in the 'test-6b676382.foo' namespace
Database(MongoClient(host=['chicago-rs1-svc.mongodb.svc.cluster.local:27017'], document_class=dict,
tz_aware=False, connect=True), u'test-6b676382')
{u'i': 0, u'_id': ObjectId('5b98992c62b04e00014b7d5a')}
{u'i': 1, u'_id': ObjectId('5b98992d62b04e00014b7d5b')}
{u'i': 2, u'_id': ObjectId('5b98992d62b04e00014b7d5c')}
...truncating logs, 100 documents should've been inserted...
{u'i': 97, u'_id': ObjectId('5b98992d62b04e00014b7dbb')}
{u'i': 98, u'_id': ObjectId('5b98992d62b04e00014b7dbc')}
{u'i': 99, u'_id': ObjectId('5b98992d62b04e00014b7dbd')}
Dropped db 'test-6b676382'
pod "mongodb-chicago-rs1-svc-dns-srv-test" deleted
pod "mongodb-chicago-rs1-svc-connection-test" deleted
[ec2-user@ip-172-31-58-143 mongodb-enterprise-kubernetes]$
32. Community Resources
Where to get involved and learn more
Github: https://github.com/mongodb/mongodb-enterprise-kubernetes
Slack: https://launchpass.com/mongo-db #enterprise-kubernetes
Talk to me!