Kubernetes is an amazing technology, but getting it up and running in your data center or VMs is challenging. In this technical webinar, you will learn how best to deploy, operate, and scale Kubernetes clusters from one to hundreds of nodes using DC/OS.
Learn how to run Kubernetes on DC/OS, as well as 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.
You will learn how to:
1. Deploy Kubernetes in a secure, highly available, and fault-tolerant manner on DC/OS
2. Solve operational challenges of running a large/multiple Kubernetes cluster(s)
3. One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Jörg is a Technical Lead for Community Projects at Mesosphere in San Francisco. His speaking experience includes various Meetups, international conferences, and lecture halls.
Joel works on the Field Operations team at Mesosphere based in London. Joel has spent the majority of his career exploring and implementing distributed database systems.
The Kubernetes cloud native landscape is vast. Delivering a solution requires managing a puzzling array of required tooling, monitoring, disaster recovery, and other solutions that lie outside the realm of the central cluster. The governing body of Kubernetes, the Cloud Native Computing Foundation, has developed guidance for organizations interested in this topic by publishing the Cloud Native Landscape, but while a list of options is helpful it does not give operations and DevOps professionals the knowledge they need to execute.
Learn best practices of setting up and managing the tools needed around Kubernetes. This presentation covers popular open source options (to avoid lock in) and how one can implement and manage these tools on an ongoing basis. Learn from, and do not repeat, the mistakes of previous centralized platforms.
In this session, attendees will learn:
1. Cloud Native Landscape 101 - Prometheus, Sysdig, NGINX, and more. Where do they all fit in Kubernetes solution?
2. Avoiding the OpenStack sprawl of managing a multiverse of required tooling in the Kubernetes world.
3. Leverage technology like Kubernetes, now available on DC/OS, to provide part of the infrastructure framework that helps manage cloud native application patterns.
Operating Kubernetes at Scale (Australia Presentation)Mesosphere Inc.
Kubernetes is an amazing technology, but getting it up and running in your data center or VMs is challenging. In this technical webinar, you will learn how best to deploy, operate, and scale Kubernetes clusters from one to hundreds of nodes using DC/OS.
Jörg Schad and Adrian Smolski from Mesosphere show how to run Kubernetes on DC/OS, as well as 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.
You will learn how to:
1. Deploy Kubernetes in a secure, highly available, and fault-tolerant manner on DC/OS
2. Solve operational challenges of running a large/multiple Kubernetes cluster(s)
3. One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Jörg is a Technical Lead for Community Projects at Mesosphere in San Francisco. His speaking experience includes various Meetups, international conferences, and lecture halls.
Adrian Smolski is the local Field CTO based out of Sydney, Australia. His background is big data, data science and distributed systems.
Learn about the challenges the come with deploying and operating Kubernetes at scale and how the Mesosphere DC/OS Kubernetes integration helps solve them.
During this presentation, Joerg Schad discusses:
1. Common challenges associated with getting a Kubernetes cluster up and running
2. The basics of running Kubernetes on Mesosphere DC/OS
3. How failure recovery works with the DC/OS-Kubernetes solution
Webinar: Déployez facilement Kubernetes & vos containersMesosphere Inc.
Kubernetes est une technologie innovante. Malheureusement, elle est aussi très difficile à déployer et à configurer. Mesosphere est donc ravi de vous proposer Kubernetes sur Mesosphere DC/OS 1.10. DC/OS 1.10 vous permet de mettre en place votre socle Kubernetes en quelques clics sur tous types d’infrastructure - physique ou virtuelle, ou bien en cloud privé ou public.
Dans cette démonstration, vous apprendrez étape par étape comment installer et gérer Kubernetes en moins de 10 minutes avec Mesosphere DC/OS 1.10. Nous discoutons des avantages des orchestrateurs de containers, et nous répondons aux questions les plus fréquentes. Les sujets incluront :
1. Démonstration du déploiement et de la gestion d’un socle Kubernetes (version originale)
2. Comment exploiter plusieurs clusters Kubernetes, y compris de versions différentes, sur la même infrastructure
3. Comment exploiter des services applicatifs stateful & stateless sur la même infrastructure
Best Practices for Managing Kubernetes and Stateful Services: Mesosphere & Sy...Mesosphere Inc.
Gain a complete understanding of how to quickly and easily implement a Kubernetes cluster, scale it out post implementation based on consumption, and conduct Day 2 activities with minimal operational impact. Also, learn how to include deep data on containers for monitoring and security.
By using a modern platform like DC/OS, you will be able to quickly add additional services like portability to public clouds, real time analytics or machine learning. Learn how customers have reduced HW costs by improving density of these applications and in many instances improve scalability and resiliency.
Episode 4: Operating Kubernetes at Scale with DC/OSMesosphere Inc.
You’ve installed your Kubernetes cluster on DC/OS — now what? Operating Kubernetes efficiently can be challenging. In the final episode of our Kubernetes series, we will share best practices for operating your DC/OS Kubernetes cluster and maintaining performance. During this presentation, Joerg Schad and Chris Gaun show you how to successfully operate Kubernetes at scale in your environment.
During this session, we discuss:
1. How to upgrade DC/OS and Kubernetes with no downtime
2. How DC/OS guards against failure and enables fault domains that are resistant to outages within racks, availability zones, or cloud environments
3. How the monitoring and metrics capabilities on DC/OS improve operational analytics and help you get the most from your cluster
4. How cloud bursting extends your on-prem environment with resources from the cloud to handle spikes in your workload
Discover how to accelerate the modernization of your Java Enterprise applications with no refactoring. Without re-architecting or re-writing, we will show you how to modernize painlessly to achieve faster time-to-market, simplified deployment and scaling, improved security, painless patching, and save money on infrastructure resources and licensing cost.
There is a transformation brewing for DevOps in age of Kubernetes. The tools of the trade, configuration management solutions, have been superseded in agility and preference by development teams who want the declarative choreography of containerized applications. The new preference for mixing developer and operations is the site reliability engineering (SRE) model championed by Google. In this new structure, the need to automate doesn’t stop at the containerized application and DevOps professionals should seek to automate the Kubernetes service itself.
The Kubernetes cloud native landscape is vast. Delivering a solution requires managing a puzzling array of required tooling, monitoring, disaster recovery, and other solutions that lie outside the realm of the central cluster. The governing body of Kubernetes, the Cloud Native Computing Foundation, has developed guidance for organizations interested in this topic by publishing the Cloud Native Landscape, but while a list of options is helpful it does not give operations and DevOps professionals the knowledge they need to execute.
Learn best practices of setting up and managing the tools needed around Kubernetes. This presentation covers popular open source options (to avoid lock in) and how one can implement and manage these tools on an ongoing basis. Learn from, and do not repeat, the mistakes of previous centralized platforms.
In this session, attendees will learn:
1. Cloud Native Landscape 101 - Prometheus, Sysdig, NGINX, and more. Where do they all fit in Kubernetes solution?
2. Avoiding the OpenStack sprawl of managing a multiverse of required tooling in the Kubernetes world.
3. Leverage technology like Kubernetes, now available on DC/OS, to provide part of the infrastructure framework that helps manage cloud native application patterns.
Operating Kubernetes at Scale (Australia Presentation)Mesosphere Inc.
Kubernetes is an amazing technology, but getting it up and running in your data center or VMs is challenging. In this technical webinar, you will learn how best to deploy, operate, and scale Kubernetes clusters from one to hundreds of nodes using DC/OS.
Jörg Schad and Adrian Smolski from Mesosphere show how to run Kubernetes on DC/OS, as well as 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.
You will learn how to:
1. Deploy Kubernetes in a secure, highly available, and fault-tolerant manner on DC/OS
2. Solve operational challenges of running a large/multiple Kubernetes cluster(s)
3. One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Jörg is a Technical Lead for Community Projects at Mesosphere in San Francisco. His speaking experience includes various Meetups, international conferences, and lecture halls.
Adrian Smolski is the local Field CTO based out of Sydney, Australia. His background is big data, data science and distributed systems.
Learn about the challenges the come with deploying and operating Kubernetes at scale and how the Mesosphere DC/OS Kubernetes integration helps solve them.
During this presentation, Joerg Schad discusses:
1. Common challenges associated with getting a Kubernetes cluster up and running
2. The basics of running Kubernetes on Mesosphere DC/OS
3. How failure recovery works with the DC/OS-Kubernetes solution
Webinar: Déployez facilement Kubernetes & vos containersMesosphere Inc.
Kubernetes est une technologie innovante. Malheureusement, elle est aussi très difficile à déployer et à configurer. Mesosphere est donc ravi de vous proposer Kubernetes sur Mesosphere DC/OS 1.10. DC/OS 1.10 vous permet de mettre en place votre socle Kubernetes en quelques clics sur tous types d’infrastructure - physique ou virtuelle, ou bien en cloud privé ou public.
Dans cette démonstration, vous apprendrez étape par étape comment installer et gérer Kubernetes en moins de 10 minutes avec Mesosphere DC/OS 1.10. Nous discoutons des avantages des orchestrateurs de containers, et nous répondons aux questions les plus fréquentes. Les sujets incluront :
1. Démonstration du déploiement et de la gestion d’un socle Kubernetes (version originale)
2. Comment exploiter plusieurs clusters Kubernetes, y compris de versions différentes, sur la même infrastructure
3. Comment exploiter des services applicatifs stateful & stateless sur la même infrastructure
Best Practices for Managing Kubernetes and Stateful Services: Mesosphere & Sy...Mesosphere Inc.
Gain a complete understanding of how to quickly and easily implement a Kubernetes cluster, scale it out post implementation based on consumption, and conduct Day 2 activities with minimal operational impact. Also, learn how to include deep data on containers for monitoring and security.
By using a modern platform like DC/OS, you will be able to quickly add additional services like portability to public clouds, real time analytics or machine learning. Learn how customers have reduced HW costs by improving density of these applications and in many instances improve scalability and resiliency.
Episode 4: Operating Kubernetes at Scale with DC/OSMesosphere Inc.
You’ve installed your Kubernetes cluster on DC/OS — now what? Operating Kubernetes efficiently can be challenging. In the final episode of our Kubernetes series, we will share best practices for operating your DC/OS Kubernetes cluster and maintaining performance. During this presentation, Joerg Schad and Chris Gaun show you how to successfully operate Kubernetes at scale in your environment.
During this session, we discuss:
1. How to upgrade DC/OS and Kubernetes with no downtime
2. How DC/OS guards against failure and enables fault domains that are resistant to outages within racks, availability zones, or cloud environments
3. How the monitoring and metrics capabilities on DC/OS improve operational analytics and help you get the most from your cluster
4. How cloud bursting extends your on-prem environment with resources from the cloud to handle spikes in your workload
Discover how to accelerate the modernization of your Java Enterprise applications with no refactoring. Without re-architecting or re-writing, we will show you how to modernize painlessly to achieve faster time-to-market, simplified deployment and scaling, improved security, painless patching, and save money on infrastructure resources and licensing cost.
There is a transformation brewing for DevOps in age of Kubernetes. The tools of the trade, configuration management solutions, have been superseded in agility and preference by development teams who want the declarative choreography of containerized applications. The new preference for mixing developer and operations is the site reliability engineering (SRE) model championed by Google. In this new structure, the need to automate doesn’t stop at the containerized application and DevOps professionals should seek to automate the Kubernetes service itself.
Mesosphere DC/OS has always helped organizations run containers, legacy apps, and data services consistently on any infrastructure, while reducing operational overhead and infrastructure cost.
Industry leaders such as athenahealth, Royal Caribbean Cruise Line, Deutsche Telekom and many others rely on DC/OS to power their ground-breaking machine learning, IoT, and edge computing initiatives.
DC/OS 1.11, the latest release, introduces many exciting capabilities such as:
1. Seamless Hybrid Cloud Operations — Hybrid cloud use cases such as edge computing, cross-cloud business continuity / disaster recovery and cloud bursting become real. Combine public cloud, private datacenter, and edge compute resources into a single logical computer.
2. Production Kubernetes-as-a-Service — Deploy, scale, and upgrade pure Kubernetes for all of the teams in an organization with one click.
3. Enhanced Data Security — Protect sensitive data in transit and simplify regulatory compliance for distributed data services. DC/OS allows one-click configuration for transport level encryption and integrated authentication, authorization and access control.
Webinar: Deep Learning Pipelines Beyond the LearningMesosphere Inc.
Mesosphere technical lead Joerg Schad looks at the complete deep learning pipeline. In these slides, Joerg addresses commonly asked questions, such as:
1. How can we easily deploy distributed deep learning frameworks on any public or private infrastructure?
2. How can we manage different deep learning frameworks on a single cluster, especially considering heterogeneous resources such as GPUs?
3. What is the best UI for a data scientist to work with the cluster?
4. How can we store & serve models at scale?
5. How can we update models that are currently in use without causing downtime for the service using them?
6. How can we monitor the entire pipeline and track performance of the deployed models?
Kubernetes is awesome! But what does it takes for a Java developer to design, implement and run Cloud Native applications? In this session, we will look at Kubernetes from a user point of view and demonstrate how to consume it effectively. We will discover which concerns Kubernetes addresses and how it helps to develop highly scalable and resilient Java applications.
FOSDEM TALK: https://fosdem.org/2017/schedule/event/cnjavadev/
Kubernetes is great for deploying stateless containers, but what about the big data ecosystem? Episode 3 of our Kubernetes series covers how DC/OS enables you to connect your Kubernetes-based applications to co-located big data services.
Slides cover:
1. Why persistence is challenging in distributed architectures
How DC/OS helps you take advantage of the services available in the big data ecosystem
2. How to connect Kubernetes to your data services through networking
3. How Apache Flink and Apache Spark work with Kubernetes to enable real-time data processing on DC/OS
Join us on Wednesday, January 9 as Mesosphere will demo how to install and run Kubernetes in under 10 minutes on DC/OS. We will walk you step-by-step through installing and running Kubernetes on Mesosphere DC/OS 1.10, discuss the benefits of container orchestrators, and answer frequently asked questions. Topics include:
Live demo showing how to deploy and manage 100% pure Kubernetes distribution on DC/OS
How to run multiple Kubernetes clusters (of different versions) alongside each other
How to run both stateless and stateful workloads on the same infrastructure
Live Q&A
Tech Preview: Kubernetes on Mesosphere DC/OS 1.10Mesosphere Inc.
Kubernetes is an amazing technology, but getting it up and running in your data center or VMs is challenging. Mesosphere is excited to deliver Kubernetes on DC/OS 1.10, bringing you point-and-click simplicity for container orchestration on your choice of infrastructure, on-premise or cloud.
These slides discuss the benefits of container orchestrators and answer frequently asked questions. Topics include:
1. Live demo showing how to deploy and manage 100% pure Kubernetes distribution on DC/OS
2. How to run multiple Kubernetes clusters (of different versions) alongside each other
3. How to run both stateless and stateful workloads on the same infrastructure
4. Live Q&A
Storage os kubernetes clusters need persistent dataLibbySchulze
Kubernetes clusters require persistent storage to unlock their full potential. Without persistent storage, workarounds are needed that sacrifice Kubernetes benefits. StorageOS provides persistent storage through storage classes, allowing multi-tenancy, data encryption, and migration of legacy apps to Kubernetes without additional scaffolding. It also enables features like read-write-many volumes through orchestrating user space NFS.
Deploy Prometheus on Kubernetes to monitor Containers. Containers are dynamic and often deployed in large quantities. In such an environment, monitoring is crucial to help with the overall health of the kubernetes environment. This tutorial explains how to deploy prometheus on Kubernetes.
Introducing github.com/open-cluster-management – How to deliver apps across c...Michael Elder
Red Hat Advanced Cluster Management (RHACM) provides tools to manage the lifecycle of Kubernetes clusters at scale across multiple clouds and on-premises environments. It offers capabilities for provisioning, configuring, and governing clusters consistently using policies. It also allows deploying applications across clusters and provides observability into cluster and application health. RHACM addresses the challenges organizations face in deploying and managing many Kubernetes clusters distributed across complex environments.
Webinar: End-to-End CI/CD with GitLab and DC/OSMesosphere Inc.
Seven years ago, Apache Mesos was born as a platform to bring the distributed computing capabilities that powered the largest digital companies to the masses. Today, Mesosphere DC/OS technologies power more containers in production than any other software stack in the world, and has emerged as the premier platform for building and elastically scaling data-rich, modern applications and the associated CI/CD infrastructure across any infrastructure, public or private.
GitLab is an end-to-end software development and delivery platform with built-in CI/CD, monitoring, and performance metrics. With a unified experience for every step of the development lifecycle and seamless integration with container schedulers, GitLab provides the most efficient approach to reduce cycle time, increase velocity, and improve software quality.
In this webinar, you will learn how to combine DC/OS and GitLab to easily build a CI/CD infrastructure and build a complete CI/CD pipeline in minutes.
Slides cover:
1. An introduction to Apache Mesos and Mesosphere DC/OS and overview of DC/OS features and capabilities for developing, deploying, and operating containerized applications, microservices and CI/CD
2. An introduction to GitLab
3. How to use DC/OS and GitLab to build a CI/CD solution and go from idea to production
This document discusses 4 levels of IoT maturity and how Cloud Foundry can help organizations achieve the highest level of maturity. It begins with an analogy about turning raw data into a gourmet meal using a kitchen and restaurant-style services. It then discusses 3 common problems organizations face with data and proposes Cloud Foundry as a solution. The next section discusses a case study of a medical device company using Cloud Foundry to securely and cost-effectively monitor devices. It concludes by recommending some open-source IoT apps to try on Cloud Foundry.
Serverless computing allows running applications without managing infrastructure. Google Cloud Platform offers serverless options like Cloud Functions, Cloud Run, and App Engine. Common serverless patterns include publish-subscribe using PubSub, triggering functions from events, and data pipelines with Dataflow. Serverless applications are built using containers, functions, and fully managed services to focus on code and reduce operational overhead.
Cloud-Native PostgreSQL is a Kubernetes Operator for Postgres written by EDB entirely from scratch in the Go language and relying exclusively on the Kubernetes API.
This webinar covered:
- About DevOps & Cloud Native
- Overview of Cloud Native Postgres
- Storage for Postgres workloads in Kubernetes
- Start Using Cloud-Native Postgres
- Demo
This document provides a summary of key details from Red Hat Summit 2021:
- Over 34,000 people registered for the virtual event with 114 sessions and over 17,000 live attendees.
- Several major customers such as Bosch, VW, and Deutsche Bank participated.
- Announcements included a $570M partnership with Boston University, new managed cloud services on Red Hat OpenShift, and expanded capabilities for edge computing, security, and observability.
- Upcoming in June, the event will feature 7 channels of breakout sessions with technical and customer content along with opportunities to engage with Red Hat experts.
The Evolution of Distributed Systems on KubernetesBilgin Ibryam
Cloud native applications of the future will consist of hybrid workloads: stateful applications, batch jobs, stateless microservices, functions, (and maybe something else too) wrapped as Linux containers and deployed via Kubernetes on any cloud. Functions and the so-called serverless computing model is the latest evolution of what started as SOA years ago. But is it the last step of the application architecture evolution and is it here to stay? During this talk, we will take you on a journey exploring distributed application needs and how they evolved with Kubernetes, Istio, Knative, Dapr, and other projects. By the end of the session, you will know what is coming after microservices.
Journey Through Four Stages of Kubernetes Deployment MaturityAltoros
In this webinar we will discuss a crawl, walk, run approach to continuous delivery (CD) for applications, point by point:
Where to start, how to advance, and how to reach the level of maximum automation.
How to orchestrate CI/CD processes along with routing and business continuity.
When the automation level is sufficient.
GitOps principles and their benefits.
What tools should be used to automate CI, CD, GitOps, Container Registry, Secrets management, etc
The document discusses Red Hat's CloudForms product and its capabilities for managing containers and Kubernetes/OpenShift environments. It provides an overview of CloudForms' integration with Kubernetes and OpenShift, how it allows monitoring and management of containers, pods, images, nodes and other resources. It also demonstrates CloudForms' topology views and dashboards for containers. The objectives of the event are to share knowledge about Red Hat's container solutions and how CloudForms addresses common concerns around managing containers.
Cloud Native Night, January 2018, Munich: Workshop led by Jörg Schad (@joerg_schad, Technical Lead Community Projects at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/cloud-native-muc
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.
ABSTRACT: 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
DevOps vs. Site Reliability Engineering (SRE) in Age of KubernetesDevOps.com
There is a transformation brewing for DevOps in age of Kubernetes. The tools of the trade, configuration management solutions, have been superseded in agility and preference by development teams who want the declarative choreography of containerized applications. The new preference for mixing developer and operations is the site reliability engineering (SRE) model championed by Google. In this new structure, the need to automate doesn’t stop at the containerized application and DevOps professionals should seek to automate the Kubernetes service itself.
In this webinar, Chris Gaun, Product Marketing Manager at Mesosphere, will cover:
The transformation of DevOps to SRE
How Kubernetes and DC/OS were catalyst for this change
How DevOps professionals can get started with Kubernetes
WHO SHOULD ATTEND
Tech Professionals
Developer Managers
IT Managers
Note the material is technical and is not intended as sales and marketing training
Mesosphere DC/OS has always helped organizations run containers, legacy apps, and data services consistently on any infrastructure, while reducing operational overhead and infrastructure cost.
Industry leaders such as athenahealth, Royal Caribbean Cruise Line, Deutsche Telekom and many others rely on DC/OS to power their ground-breaking machine learning, IoT, and edge computing initiatives.
DC/OS 1.11, the latest release, introduces many exciting capabilities such as:
1. Seamless Hybrid Cloud Operations — Hybrid cloud use cases such as edge computing, cross-cloud business continuity / disaster recovery and cloud bursting become real. Combine public cloud, private datacenter, and edge compute resources into a single logical computer.
2. Production Kubernetes-as-a-Service — Deploy, scale, and upgrade pure Kubernetes for all of the teams in an organization with one click.
3. Enhanced Data Security — Protect sensitive data in transit and simplify regulatory compliance for distributed data services. DC/OS allows one-click configuration for transport level encryption and integrated authentication, authorization and access control.
Webinar: Deep Learning Pipelines Beyond the LearningMesosphere Inc.
Mesosphere technical lead Joerg Schad looks at the complete deep learning pipeline. In these slides, Joerg addresses commonly asked questions, such as:
1. How can we easily deploy distributed deep learning frameworks on any public or private infrastructure?
2. How can we manage different deep learning frameworks on a single cluster, especially considering heterogeneous resources such as GPUs?
3. What is the best UI for a data scientist to work with the cluster?
4. How can we store & serve models at scale?
5. How can we update models that are currently in use without causing downtime for the service using them?
6. How can we monitor the entire pipeline and track performance of the deployed models?
Kubernetes is awesome! But what does it takes for a Java developer to design, implement and run Cloud Native applications? In this session, we will look at Kubernetes from a user point of view and demonstrate how to consume it effectively. We will discover which concerns Kubernetes addresses and how it helps to develop highly scalable and resilient Java applications.
FOSDEM TALK: https://fosdem.org/2017/schedule/event/cnjavadev/
Kubernetes is great for deploying stateless containers, but what about the big data ecosystem? Episode 3 of our Kubernetes series covers how DC/OS enables you to connect your Kubernetes-based applications to co-located big data services.
Slides cover:
1. Why persistence is challenging in distributed architectures
How DC/OS helps you take advantage of the services available in the big data ecosystem
2. How to connect Kubernetes to your data services through networking
3. How Apache Flink and Apache Spark work with Kubernetes to enable real-time data processing on DC/OS
Join us on Wednesday, January 9 as Mesosphere will demo how to install and run Kubernetes in under 10 minutes on DC/OS. We will walk you step-by-step through installing and running Kubernetes on Mesosphere DC/OS 1.10, discuss the benefits of container orchestrators, and answer frequently asked questions. Topics include:
Live demo showing how to deploy and manage 100% pure Kubernetes distribution on DC/OS
How to run multiple Kubernetes clusters (of different versions) alongside each other
How to run both stateless and stateful workloads on the same infrastructure
Live Q&A
Tech Preview: Kubernetes on Mesosphere DC/OS 1.10Mesosphere Inc.
Kubernetes is an amazing technology, but getting it up and running in your data center or VMs is challenging. Mesosphere is excited to deliver Kubernetes on DC/OS 1.10, bringing you point-and-click simplicity for container orchestration on your choice of infrastructure, on-premise or cloud.
These slides discuss the benefits of container orchestrators and answer frequently asked questions. Topics include:
1. Live demo showing how to deploy and manage 100% pure Kubernetes distribution on DC/OS
2. How to run multiple Kubernetes clusters (of different versions) alongside each other
3. How to run both stateless and stateful workloads on the same infrastructure
4. Live Q&A
Storage os kubernetes clusters need persistent dataLibbySchulze
Kubernetes clusters require persistent storage to unlock their full potential. Without persistent storage, workarounds are needed that sacrifice Kubernetes benefits. StorageOS provides persistent storage through storage classes, allowing multi-tenancy, data encryption, and migration of legacy apps to Kubernetes without additional scaffolding. It also enables features like read-write-many volumes through orchestrating user space NFS.
Deploy Prometheus on Kubernetes to monitor Containers. Containers are dynamic and often deployed in large quantities. In such an environment, monitoring is crucial to help with the overall health of the kubernetes environment. This tutorial explains how to deploy prometheus on Kubernetes.
Introducing github.com/open-cluster-management – How to deliver apps across c...Michael Elder
Red Hat Advanced Cluster Management (RHACM) provides tools to manage the lifecycle of Kubernetes clusters at scale across multiple clouds and on-premises environments. It offers capabilities for provisioning, configuring, and governing clusters consistently using policies. It also allows deploying applications across clusters and provides observability into cluster and application health. RHACM addresses the challenges organizations face in deploying and managing many Kubernetes clusters distributed across complex environments.
Webinar: End-to-End CI/CD with GitLab and DC/OSMesosphere Inc.
Seven years ago, Apache Mesos was born as a platform to bring the distributed computing capabilities that powered the largest digital companies to the masses. Today, Mesosphere DC/OS technologies power more containers in production than any other software stack in the world, and has emerged as the premier platform for building and elastically scaling data-rich, modern applications and the associated CI/CD infrastructure across any infrastructure, public or private.
GitLab is an end-to-end software development and delivery platform with built-in CI/CD, monitoring, and performance metrics. With a unified experience for every step of the development lifecycle and seamless integration with container schedulers, GitLab provides the most efficient approach to reduce cycle time, increase velocity, and improve software quality.
In this webinar, you will learn how to combine DC/OS and GitLab to easily build a CI/CD infrastructure and build a complete CI/CD pipeline in minutes.
Slides cover:
1. An introduction to Apache Mesos and Mesosphere DC/OS and overview of DC/OS features and capabilities for developing, deploying, and operating containerized applications, microservices and CI/CD
2. An introduction to GitLab
3. How to use DC/OS and GitLab to build a CI/CD solution and go from idea to production
This document discusses 4 levels of IoT maturity and how Cloud Foundry can help organizations achieve the highest level of maturity. It begins with an analogy about turning raw data into a gourmet meal using a kitchen and restaurant-style services. It then discusses 3 common problems organizations face with data and proposes Cloud Foundry as a solution. The next section discusses a case study of a medical device company using Cloud Foundry to securely and cost-effectively monitor devices. It concludes by recommending some open-source IoT apps to try on Cloud Foundry.
Serverless computing allows running applications without managing infrastructure. Google Cloud Platform offers serverless options like Cloud Functions, Cloud Run, and App Engine. Common serverless patterns include publish-subscribe using PubSub, triggering functions from events, and data pipelines with Dataflow. Serverless applications are built using containers, functions, and fully managed services to focus on code and reduce operational overhead.
Cloud-Native PostgreSQL is a Kubernetes Operator for Postgres written by EDB entirely from scratch in the Go language and relying exclusively on the Kubernetes API.
This webinar covered:
- About DevOps & Cloud Native
- Overview of Cloud Native Postgres
- Storage for Postgres workloads in Kubernetes
- Start Using Cloud-Native Postgres
- Demo
This document provides a summary of key details from Red Hat Summit 2021:
- Over 34,000 people registered for the virtual event with 114 sessions and over 17,000 live attendees.
- Several major customers such as Bosch, VW, and Deutsche Bank participated.
- Announcements included a $570M partnership with Boston University, new managed cloud services on Red Hat OpenShift, and expanded capabilities for edge computing, security, and observability.
- Upcoming in June, the event will feature 7 channels of breakout sessions with technical and customer content along with opportunities to engage with Red Hat experts.
The Evolution of Distributed Systems on KubernetesBilgin Ibryam
Cloud native applications of the future will consist of hybrid workloads: stateful applications, batch jobs, stateless microservices, functions, (and maybe something else too) wrapped as Linux containers and deployed via Kubernetes on any cloud. Functions and the so-called serverless computing model is the latest evolution of what started as SOA years ago. But is it the last step of the application architecture evolution and is it here to stay? During this talk, we will take you on a journey exploring distributed application needs and how they evolved with Kubernetes, Istio, Knative, Dapr, and other projects. By the end of the session, you will know what is coming after microservices.
Journey Through Four Stages of Kubernetes Deployment MaturityAltoros
In this webinar we will discuss a crawl, walk, run approach to continuous delivery (CD) for applications, point by point:
Where to start, how to advance, and how to reach the level of maximum automation.
How to orchestrate CI/CD processes along with routing and business continuity.
When the automation level is sufficient.
GitOps principles and their benefits.
What tools should be used to automate CI, CD, GitOps, Container Registry, Secrets management, etc
The document discusses Red Hat's CloudForms product and its capabilities for managing containers and Kubernetes/OpenShift environments. It provides an overview of CloudForms' integration with Kubernetes and OpenShift, how it allows monitoring and management of containers, pods, images, nodes and other resources. It also demonstrates CloudForms' topology views and dashboards for containers. The objectives of the event are to share knowledge about Red Hat's container solutions and how CloudForms addresses common concerns around managing containers.
Cloud Native Night, January 2018, Munich: Workshop led by Jörg Schad (@joerg_schad, Technical Lead Community Projects at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/cloud-native-muc
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.
ABSTRACT: 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
DevOps vs. Site Reliability Engineering (SRE) in Age of KubernetesDevOps.com
There is a transformation brewing for DevOps in age of Kubernetes. The tools of the trade, configuration management solutions, have been superseded in agility and preference by development teams who want the declarative choreography of containerized applications. The new preference for mixing developer and operations is the site reliability engineering (SRE) model championed by Google. In this new structure, the need to automate doesn’t stop at the containerized application and DevOps professionals should seek to automate the Kubernetes service itself.
In this webinar, Chris Gaun, Product Marketing Manager at Mesosphere, will cover:
The transformation of DevOps to SRE
How Kubernetes and DC/OS were catalyst for this change
How DevOps professionals can get started with Kubernetes
WHO SHOULD ATTEND
Tech Professionals
Developer Managers
IT Managers
Note the material is technical and is not intended as sales and marketing training
OSDC 2018 | From batch to pipelines – why Apache Mesos and DC/OS are a soluti...NETWAYS
Apache Mesos is a distributed system for running other distributed systems, often described as a distributed kernel. It’s in use at massive scale at some of the worlds largest companies like Netflix, Uber and Yelp, abstracting entire data centres of hardware to allow for workloads to be distributed efficiently. DC/OS is an open source distribution of Mesos, which adds all the functionality to run Mesos in production across any substrate, both on-premise and in the cloud. In this talk, I’ll introduce both Mesos and DC/OS and talk about how they work under the hood, and what the benefits are of running these new kinds of systems for emerging cloud native workloads.
Containers, cluster management, microservices, Kubernetes and many other buzzwords are flying around us all the time. Our team is building solutions that make it easy to cope with all the complexity around cluster infrastructure. In this talk we present the project we are working on, namely running Kubernetes on top of the Mesos cluster scheduler. Furthermore we show DCOS which makes it easy to deploy and run Kubernetes with a single command.
Overpowered Kubernetes: CI/CD for K8s on Enterprise IaaSJ On The Beach
The document discusses Oracle's container native platform for running Kubernetes on Oracle Cloud Infrastructure (OCI). It provides a fully managed Kubernetes service called OCI Container Engine for Kubernetes (OKE) along with an integrated container registry (OCIR). The document demonstrates creating a Kubernetes cluster on OKE and deploying a containerized application using a continuous integration/delivery pipeline to build, test and deploy containers. It highlights the capabilities for continuous integration, container image management and serverless functions that Oracle provides along with the infrastructure capabilities of OCI such as high performance compute and storage resources.
This document discusses operating Apache Flink on Apache Mesos at scale. It provides an overview of Mesos and its two-level scheduling architecture. It then discusses why Flink and Mesos are well-suited to each other, and how the Flink Mesos integration works. Finally, it covers best practices for operating Flink on Mesos at scale, including containerization, resource allocation, multi-tenancy, configuration changes, and high availability.
Flink Forward San Francisco 2018: Jörg Schad and Biswajit Das - "Operating Fl...Flink Forward
Flink has supported Apache Mesos officially since the 1.2 release and many users have been using them together even before that. The latest releases 1.4 and 1.5 (not released at the time of writing) add a deeper integration for resource schedulers, such as Mesos, which also resulted in many new features around this integration. But what does that mean in practice for operating large cluster? In this talk, we will discuss operational best practices-alongside with some pitfalls- for operating large Flink cluster on top of Apache Mesos, including topics such as: * Deployments, * Monitoring, * Scaling, * Upgrades, * Debugging.
게임 고객사를 위한 ‘AWS 컨테이너 교육’ 자료 - 유재석 솔루션즈 아키텍트, AWS :: Gaming Immersion Day 201...Amazon Web Services Korea
The document outlines an agenda for a container orchestration workshop. It includes sessions on Amazon EKS and ECS, hands-on labs for creating an EKS cluster and running applications on EKS with logging and monitoring. It also covers common questions around container orchestration and the need for orchestration at scale. Concepts like containers, pods, labels, deployments and services in Kubernetes are defined at a high level.
The document discusses container orchestration tools. It provides an overview of Kubernetes, including its components like the control plane, API server, scheduler, and nodes. It also describes common Kubernetes objects like pods, labels, deployments, replication controllers, and services. The document positions Amazon ECS and EKS as managed container orchestration services on AWS.
AWS를 사용하는 고객사 중 고급 사용자를 대상으로 하는 ‘AWS 컨테이너 교육’ 입니다. 본 교육에서는 현재 컨테이너 오케스트레이션 툴 중에 가장 관심을 많이 받고 있는 쿠버네티스와 AWS에서 관리형 서비스로 만든 Amazon EKS에 대해 알아봅니다. 쿠버네티스 클러스터를 직접 만들어보고 여러 오픈소스를 활용하여 모니터링, 로깅 등 실제 서비스 환경에서 필요한 기능을 어떻게 구현하는지 실습합니다.
Webinar: Nightmares of a Container Orchestration System - Jorg SchadCodemotion
The document discusses many challenges that can arise when deploying and managing containerized applications at scale using a container orchestration system. It provides advice on topics like container orchestration, networking, monitoring, upgrades, backups, resource constraints, private registries, health checks, and day 2 operations. The overall message is that container orchestration solves many problems but also introduces new complexities that must be addressed for successful production deployments.
Webinar - Nightmares of a Container Orchestration System - Jorg SchadCodemotion
A lot of talks will tell you how to setup systems correctly.
This webinar is about what not to do with your Apache Mesos and DC/OS cluster.
We will share some of our favorite/scariest support stories covering typical system-setup, configuration, and application pitfalls for new (and not-so-new) Mesos and DC/OS operators. And, we will give some hints about how to debug those pitfalls if you do encounter them, resulting in fewer nightmares.
Kubesprawl is becoming a real challenge - with over 70 ways to deploy and on average 15 clusters, how can we keep going fast without being slowed down by operations overhead? Kubernetes is being adopted by most teams and they each have their own way of doing things, which leads to inconsistency and takes us back to the bad days of snowflakes and separate environments. How can we show both the development productivity benefits of Kubernetes as well as the financial and operational ones if we still treat Kubernetes clusters as pets? Learn how to achieve high density multiple Kubernetes clusters bin-packed on the same OS instances without virtualization, while still retaining isolation. We’ll talk about the challenges of resource usage, network separation and service automation for both the developer and operator, and how we can avoid them.
Completing the Microservices Puzzle: Kubernetes, Prometheus and FreshTracks.ioCA Technologies
Completing the Microservices Puzzle: Kubernetes, Prometheus and FreshTracks.io
For more information on CA Accelerator, please visit: http://ow.ly/Mbww50fO7a8
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
The rise of microservices details how the software infrastructure of the future are changing. As corporations strive for competitive advantage, they must redesign their brownfield legacy applications and move them to the cloud. Agile Cloud applications follow microservices and cloudnative development patterns. Microservices architectures are enabled by Docker and Kubernetes. Both software are hosted by CNCF.
microservices architectures are being enhanced with a service mesh layer which simplifies the communication and management of cloudnative applications.
This document discusses containers, Kubernetes, and Oracle Cloud Infrastructure (OCI). It begins with an overview of containers and how they differ from virtual machines. It then discusses Kubernetes as an orchestration system for containers and how it manages scheduling, replication, discovery and more. The remainder of the document focuses on OCI's container engine for Kubernetes (OKE), including its architecture, pricing, integration with OCI services, and developer workflows. It concludes with a demo invitation and links to additional documentation.
Cloud-Native Operations with Kubernetes and CI/CDVMware Tanzu
Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes?
In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn:
● what cloud-native operations are;
● how to build a cloud-native CI/CD stack; and
● how to deploy and upgrade an application from source to production on Kubernetes.
Presenter:
Paul Czarkowski, Principal Technologist, Pivotal Software
Running Distributed TensorFlow with GPUs on Mesos with DC/OS Mesosphere Inc.
This document discusses running distributed TensorFlow jobs on the DC/OS platform. It begins with an overview of typical TensorFlow development workflows for single-node and distributed training. It then outlines some challenges of running distributed TensorFlow, such as needing to hard-code cluster configuration details. The document explains how DC/OS addresses these challenges by dynamically generating cluster configurations and handling failures gracefully. It demonstrates deploying non-distributed and distributed TensorFlow jobs on a DC/OS cluster to train an image classification model.
Manage Microservices & Fast Data Systems on One Platform w/ DC/OSMesosphere Inc.
This document provides an overview of Mesosphere DC/OS and its benefits. It begins with an introduction to the challenges of building data-intensive applications at scale. It then outlines how Mesosphere DC/OS provides a unified platform for containers and data services across infrastructure with automation and architectural control. Key benefits highlighted include speed, cost savings, and ensuring necessary skills. The document concludes with examples of how Mesosphere is powering industry leaders and a demo.
Jolt: Distributed, fault-tolerant test running at scale using MesosMesosphere Inc.
This document summarizes Yelp's new test parallelization system called Jolt. It discusses how Jolt bundles tests into groups to run in parallel on Mesos clusters. This improves upon their previous system called Seagull which had complex custom components. Jolt uses Task Processing to interface with Mesos in a composable way. The document also describes Yelp's autoscaling system called Clusterman which adjusts Mesos cluster sizes based on resource usage and spot instance pricing. It notes how these systems have significantly reduced Yelp's infrastructure costs while improving their ability to run tests and deploy code.
This document summarizes a meetup presentation about deploying Kong API gateway with Mesosphere DC/OS. The presentation was given by Shashi Ranjan and Cooper Marcus of Kong and covered how Kong can help manage microservices and act as a central API gateway. It discussed how Kong provides functionality like authentication, security, logging and load balancing through plugins. The document also provided an overview of Kong editions, plugins, and common enterprise installations.
Discover the NEW Mesosphere DC/OS 1.10 for more freedom of choice for container orchestration and data services. Now the most flexible platform for containerized, data-intensive applications.
To view the recorded demo on-demand, visit: http://bit.ly/2hwiWW3
Mesosphere & Magnetic: Take the pain out of running complex and critical serv...Mesosphere Inc.
In software development and delivery, costly and potentially deadly risks appear in the form of performance issues, errors and even downtime. These risks mostly surface when upgrading software or migrating applications. The more power and speed is being introduced, the more explosive these risks can become. To reduce these risks new safety-systems need to be introduced to reduce the risks involved with speeding up while leveraging the full potential of new technologies like containers and microservices.
VAMP reduces the risks of performance issues and downtime when upgrading software by providing proven “canary testing & releasing” features to high-power container and microservices systems. One of the most potent systems to scale and speed up the datacenter is DC/OS. Combined with VAMP, this delivers a powerful package for DevOps engineers.
In this webinar Olaf Molenveld, CEO of Magnetic and Amr Hamed Abdelrazik, Product Marketing Manager of Mesosphere will explain:
The vision and architecture of both VAMP and DC/OS
Benefits and requirements of the canary release process
How VAMP and DC/OS work together to provide Canary release for docker based microservices
Provide a working demo of the canary release process with VAMP on top of DC/OS.
Easy Docker Deployments with Mesosphere DCOS on AzureMesosphere Inc.
Aaron Williams (Head of Advocacy at Mesosphere) and Ryan Lee (Cloud Infrastructure Engineer at 10th Magnitude) demonstrate how to use Mesosphere DCOS on Microsoft Azure to easily deploy Docker containers at scale.
This presentation and linked video (https://youtu.be/xNEZFRsANMk) will walk you through:
- What microservices are, and why a microservice-based architecture might be the right choice for your company
- How to easily deploy DCOS on Microsoft Azure
- Several different scenarios for deploying Docker containers using DCOS on Azure
http://www.mesosphere.com
http://www.10thmagnitude.com
Elastic jenkins with mesos and dcos (2016 01-20)Mesosphere Inc.
The document discusses using Mesos and Mesosphere DCOS to elastically scale Jenkins. It provides background on Mesos, DCOS, and Jenkins. Conventional methods for scaling Jenkins like using a single or multiple static Jenkins masters are described. A demo is then shown of running Jenkins on Mesos which allows Jenkins agents to dynamically register based on available resources. Future work discussed includes tighter integration of Jenkins for continuous integration and continuous delivery (CI/CD) workflows within DCOS.
The document discusses how Mesosphere is growing its Mesos ecosystem through a flywheel effect, where commercial products and services around Mesos fuel adoption by users, who then develop applications and services that drive business solutions. This greater adoption in turn creates more demand, growing the Mesos community. Specifically, Mesosphere is offering products like Mesosphere Infinity and Mesosphere DCOS Enterprise Edition to fuel greater adoption of Mesos in datacenters through its Mesosphere Datacenter Operating System (DCOS). Leading companies adopting Mesos are also helping drive more demand for Mesos.
This presentation was part of the talk "Doing Big Data for Real with Docker" by Elizabeth Lingg (Engineering Manager at Mesosphere) at ContainerCon 2015.
Try Mesosphere for Free: https://mesosphere.com/try
Deploying Containers in Production and at ScaleMesosphere Inc.
This presentation was part of "Deploying Containers in Production and at Scale" by Sunil Shah (Engineer at Mesosphere) at ContainerCon 2015
Try Mesosphere for Free: https://mesosphere.com/try
This presentation was part of the talk "Re-Platforming All the Things" by Thomas Rampelberg (Product Manager at Mesosphere) at MesosCon 2015
Try Mesosphere for Free: https://mesosphere.com/try
This presentation was part of the talk "Mesos Networking" by Christos Kozyrakis and Spike Curtis at MesosCon 2015.
Try Mesosphere for Free: https://mesosphere.com/try
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Microservices are small, autonomous services that work together
They do one thing and one thing well
https://www.nginx.com/blog/introduction-to-microservices/
New Job: Agile Engineer
New Job: Dev Ops
Scheduling: Placement of tasks on machines
Service Management: Coordination of service interactions
Resource Management: Maximize efficient distribution of resources
Declarative, should be versioned!
https://kubernetes.io/docs/concepts/overview/working-with-objects/kubernetes-objects/
$ kubectl create -f https://k8s.io/docs/user-guide/nginx-deployment.yaml --record
Declarative, should be versioned!
https://kubernetes.io/docs/concepts/overview/working-with-objects/kubernetes-objects/
$ kubectl create -f https://k8s.io/docs/user-guide/nginx-deployment.yaml --record
Declarative, should be versioned!
https://kubernetes.io/docs/concepts/overview/working-with-objects/kubernetes-objects/
$ kubectl create -f https://k8s.io/docs/user-guide/nginx-deployment.yaml --record