GORM, which started as a part of Grails framework is now a standalone library. Developers can use GORM for developing the data layer of your applications. This presentation demonstrates how GORM provides a unified API for working across different types of data stores without sacrificing their uniqueness & strength.
"State management in React apps using the Focal library" [Workshop], Oleksand...Fwdays
In this workshop, we will show in practice the difference between the Redux and Focal approaches to state management in a React SPA, highlighting the pros and cons of both approaches. We will also share our experiences with various methods of applying Focal. To give our workshop a more practical flavor, we will take a real app that was written using Redux and rewrite some parts of it using Focal.
Hacking for fun & profit - The Kubernetes Way - Demi Ben-Ari - PanoraysDemi Ben-Ari
To defend against attacks, think like a hacker. But does that mean you need to be a DevOps expert? Security researchers today need to discover new attack techniques. However, much of their focus is diverged to backend coding. We share how to build an infrastructure for researchers that allows them concentrate on business logic and writing hacker “tasks”. Using Docker and Kubernetes on Google Cloud, these tasks can then be performed in parallel and without a lot of DevOps hassle. Our technique removes two common barriers: first, long and risky deployment processes and second, low transparency within the production system.
Promise to share the stupid things too.
So Your OpenStack Cloud is Built... Now What's Next - Walter Bentley - OpenSt...Cloud Native Day Tel Aviv
So you have spent months convincing your leadership to go with OpenStack. Finally the keys of the cloud are turned over to you as the Cloud Operator, you then look over at your co-workers and say “now what”. The next set of phrases normally are something like: Now how do we best administer this cloud? Cloud is supposed to be easier, right?
Audience Takeaways:
* Discover some common day-to-day operator tasks
* Learn why OpenStack works well with open sourced automation tools
* Review some automation considerations before getting started
* Step thru how to automate a few of the operator tasks using open sourced automation tools
* Benefits of adopting an ‘Administration DevOps’ state of mind and next steps
What is Kubernetes (also known as “K8s”) and how can it help you ship cleaner and more reliable projects. Join us as we discuss the ins and outs of Kubernetes and why you should consider using K8s for your next Go project.
Applying Platform Engineering Thinking to Observability.pdfNatan Yellin
4 examples of real-worlds Kubernetes Observability Platforms that empower developers, and the principles behind them.
As a platform/ops/SRE team, what can you do to give developers real ownership of their Kubernetes alerts, and empower them to investigate and solve production issues on their own.
What does a good shared responsibility model look like?
GORM, which started as a part of Grails framework is now a standalone library. Developers can use GORM for developing the data layer of your applications. This presentation demonstrates how GORM provides a unified API for working across different types of data stores without sacrificing their uniqueness & strength.
"State management in React apps using the Focal library" [Workshop], Oleksand...Fwdays
In this workshop, we will show in practice the difference between the Redux and Focal approaches to state management in a React SPA, highlighting the pros and cons of both approaches. We will also share our experiences with various methods of applying Focal. To give our workshop a more practical flavor, we will take a real app that was written using Redux and rewrite some parts of it using Focal.
Hacking for fun & profit - The Kubernetes Way - Demi Ben-Ari - PanoraysDemi Ben-Ari
To defend against attacks, think like a hacker. But does that mean you need to be a DevOps expert? Security researchers today need to discover new attack techniques. However, much of their focus is diverged to backend coding. We share how to build an infrastructure for researchers that allows them concentrate on business logic and writing hacker “tasks”. Using Docker and Kubernetes on Google Cloud, these tasks can then be performed in parallel and without a lot of DevOps hassle. Our technique removes two common barriers: first, long and risky deployment processes and second, low transparency within the production system.
Promise to share the stupid things too.
So Your OpenStack Cloud is Built... Now What's Next - Walter Bentley - OpenSt...Cloud Native Day Tel Aviv
So you have spent months convincing your leadership to go with OpenStack. Finally the keys of the cloud are turned over to you as the Cloud Operator, you then look over at your co-workers and say “now what”. The next set of phrases normally are something like: Now how do we best administer this cloud? Cloud is supposed to be easier, right?
Audience Takeaways:
* Discover some common day-to-day operator tasks
* Learn why OpenStack works well with open sourced automation tools
* Review some automation considerations before getting started
* Step thru how to automate a few of the operator tasks using open sourced automation tools
* Benefits of adopting an ‘Administration DevOps’ state of mind and next steps
What is Kubernetes (also known as “K8s”) and how can it help you ship cleaner and more reliable projects. Join us as we discuss the ins and outs of Kubernetes and why you should consider using K8s for your next Go project.
Applying Platform Engineering Thinking to Observability.pdfNatan Yellin
4 examples of real-worlds Kubernetes Observability Platforms that empower developers, and the principles behind them.
As a platform/ops/SRE team, what can you do to give developers real ownership of their Kubernetes alerts, and empower them to investigate and solve production issues on their own.
What does a good shared responsibility model look like?
Flink Forward San Francisco 2019: Managing Flink on Kubernetes - FlinkK8sOper...Flink Forward
Managing Flink on Kubernetes - FlinkK8sOperator
The goal of Lyft is to “Improve people’s lives with the world’s best transportation”. Our product is fundamentally real-time and building a reliable platform that consumes and processes massive amounts of streaming data empowers us to achieve our mission. The advent of containers and Kubernetes has completely changed how we deploy and manage stateless services. At Lyft we have doubled down on Docker containers and Kubernetes for all the services in production. To achieve a homogenous infrastructure we decided to extend Kubernetes to manage stateful streaming services like Flink. We developed the FlinkK8sOperator which leverages Kubernetes CustomResourceDefinition to enable native management of Flink applications on Kubernetes. FlinkK8sOperator employs a state machine that transitions the application through a series of states, until a stable state is attained. Each Flink application on Kubernetes spins up a separate Flink Cluster, with its own UI, providing clear isolation for monitoring and debugging. This talk provides an overview of running Flink applications on Kubernetes using FlinkK8sOperator, showcasing the entire lifecycle of the application from creation to execution, with focus of transitions during deployments and stateful updates, concluding with a demo.
A talk to introduce Singularity Registry HPC, which allows you to install Singularity, Podman, or Docker containers (and others) as modules on an HPC system (e.g., LMOD or environment modules). Presented 2021.
On Friday 5 June 2015 I gave a talk called Cluster Management with Kubernetes to a general audience at the University of Edinburgh. The talk includes an example of a music store system with a Kibana front end UI and an Elasticsearch based back end which helps to make concrete concepts like pods, replication controllers and services.
The Salmon Algorithm Spawning with KubernetesCloudOps2005
Lindsey Tulloch, Software Engineer Intern at Red Hat, presented 'The Salmon Algorithm Spawning with Kubernetes' at Eastern Canada's Kubernetes and Cloud Native Meetups in 2019.
To see upcoming Kubernetes and Cloud Native meetups in Eastern Canada, please visit https://www.cloudops.com/workshop-calendar/#meetups
Modern application development with oracle cloud sangam17Vinay Kumar
How Oracle cloud helps in building modern application development. This explains Oracle Application container cloud with developer cloud service and etc. Spring boot application deployed in Oracle ACCS and CI/CD part done in Oracle Developer cloud service.
Flink Forward Berlin 2018: Lasse Nedergaard - "Our successful journey with Fl...Flink Forward
At Trackunit we have based our telematic IoT processing pipeline on Flink. We started out on version 1.2 and are now on 1.5. In this session I will share the lessons learned going from one giant Flink job to many smalls and some of the problems we have seen operating Flink on AWS EMR cluster, including topics such as:
• Why external enrichment can be challenging with Flink Async operator.
• Pattern to change external enrichment into streaming join.
• Building your own source
• Why Flink restart is great but should be avoided as it will terminate your cluster.
• Why iteration can cause deadlocking when backpressure occurs.
• Kinesis rate exceeded exception
• Why throttling Flink source read during catchup is needed.
• Why we moved from EMR/Kinesis and into DC/OS and kafka.
• And much more.
Containerizing stateful apps with Kubernetes and SUSE CaaS PlatformJuan Herrera Utande
SUSE Containers as a Service Platform (CaaSP) is the simpliest and fastest way to deploy and mantain a Kubernetes cluster with a rock-solid enterprise approach.
Once deployed not only container-native applications can leverage all its functionalities. Existing applications can also be repackaged in a containerized way thanks for Kubernete's unique features to deal with state and persistence. Thanks to volume management, stateful sets more and more applications can benefit from declarative deployments, autoscaling and self healing.
This presentation shows some tips about the main architectural challenges and also presents how SUSE dealt with them during their move to containerized deployment of its Cloud, PaaS and Storage solutions.
GitOps Core Concepts & Ways of Structuring Your ReposWeaveworks
Watch this talk on YouTube here: https://youtu.be/vLNZA_2Na_s
Whether you’re new to GitOps or a seasoned pro, this talk is for you! We'll start with the basics of how/where to get started, and then dive into one of the most asked GitOps questions: how to structure your repository!
During this talk, Scott & Pinky will review the Core Concepts of Flux including Git Sources, Reconciliation, Helm Releases, Kustomization, and Bootstrapping, to get you ramped up with how to think with a GitOps mindset! Then they’ll dive into and discuss considerations for and demo ways of structuring your repositories: monorepo, repo per environment, repo per team, or repo per app.
Resources:
- Flux on GitHub: https://github.com/fluxcd/flux2
- Flux docs: https://fluxcd.io/docs
- Core Concepts: https://fluxcd.io/docs/concepts/
- Sources: https://fluxcd.io/docs/components/source/
- Helm Releases: https://fluxcd.io/docs/guides/helmreleases/
- Kustomization: https://fluxcd.io/docs/components/kustomize/
Bootstrap: https://fluxcd.io/docs/installation/#bootstrap
- Ways of Structuring Your Repos: https://fluxcd.io/docs/guides/repository-structure/
Speaker Bios:
Priyanka “Pinky” Ravi is a Developer Experience Engineer at Weaveworks. She has worked on a multitude of topics including front end development, UI automation for testing and API development. Previously she was a software developer at a large insurance company where she was on the delivery engineering team working on GitOps enablement. She was instrumental in the multi-tenancy migration to utilize Flux for an internal Kubernetes offering. Outside of work, Priyanka enjoys hanging out with her husband and two rescue dogs as well as traveling around the globe.
Scott is a Brooklyn based interdisciplinary artist and Developer Advocate at Weaveworks. He co-founded the Basekamp art and research group in 1998 and the massively collaborative Plausible Artworlds international network. In technology he enjoys helping develop open source software that anyone can use, most recently projects in the cloud native landscape including co-maintaining Helm and Flux. In daily decisions, large or small, he tries to help make the world a better place for everyone.
With distributed tracing, we can track requests as they pass through multiple services, emitting timing and other metadata throughout, and this information can then be reassembled to provide a complete picture of the application’s behavior at runtime - Read more in https://blog.buoyant.io/2016/05/17/distributed-tracing-for-polyglot-microservices/ and https://www.rookout.com/
Creating Developer-Friendly Docker Containers with ChaperoneGary Wisniewski
Chaperone provides a lean, full-featured environment which simplifies development and deployment of container services while adding minimal overhead (a single process does it all).
No production system is complete without a way to monitor it. In software, we define observability as the ability to understand how our system is performing. This talk dives into capabilities and tools that are recommended for implementing observability when running K8s in production as the main platform today for deploying and maintaining containers with cloud-native solutions.
We start by introducing the concept of observability in the context of distributed systems such as K8s and the difference with monitoring. We continue by reviewing the observability stack in K8s and the main functionalities. Finally, we will review the tools K8s provides for monitoring and logging, and get metrics from applications and infrastructure.
Between the points to be discussed we can highlight:
-Introducing the concept of observability
-Observability stack in K8s
-Tools and apps for implementing Kubernetes observability
-Integrating Prometheus with OpenMetrics
What's new in Kubernetes 1.3?
New things like:
Petsets, init-containers, ubernetes, federated clusters, improved kubernetes UI, minikube, support for rkt, etc.
Also find out sources to learn Kubernetes, how to participate with k8s community.
KubeCon CloudNativeCon Seattle 2019 Recap - General overview and also summary of some of the application deployment track (App sig, Operator Framework, Helm, Kustomize, CNAB).
Sebastien Thomas, System Architect at Coyote Amerique, gave a presentation on operator frameworks. His talk covered how Operator SDK can be used to create Kubernetes Operators with Go.
Flink Forward San Francisco 2019: Managing Flink on Kubernetes - FlinkK8sOper...Flink Forward
Managing Flink on Kubernetes - FlinkK8sOperator
The goal of Lyft is to “Improve people’s lives with the world’s best transportation”. Our product is fundamentally real-time and building a reliable platform that consumes and processes massive amounts of streaming data empowers us to achieve our mission. The advent of containers and Kubernetes has completely changed how we deploy and manage stateless services. At Lyft we have doubled down on Docker containers and Kubernetes for all the services in production. To achieve a homogenous infrastructure we decided to extend Kubernetes to manage stateful streaming services like Flink. We developed the FlinkK8sOperator which leverages Kubernetes CustomResourceDefinition to enable native management of Flink applications on Kubernetes. FlinkK8sOperator employs a state machine that transitions the application through a series of states, until a stable state is attained. Each Flink application on Kubernetes spins up a separate Flink Cluster, with its own UI, providing clear isolation for monitoring and debugging. This talk provides an overview of running Flink applications on Kubernetes using FlinkK8sOperator, showcasing the entire lifecycle of the application from creation to execution, with focus of transitions during deployments and stateful updates, concluding with a demo.
A talk to introduce Singularity Registry HPC, which allows you to install Singularity, Podman, or Docker containers (and others) as modules on an HPC system (e.g., LMOD or environment modules). Presented 2021.
On Friday 5 June 2015 I gave a talk called Cluster Management with Kubernetes to a general audience at the University of Edinburgh. The talk includes an example of a music store system with a Kibana front end UI and an Elasticsearch based back end which helps to make concrete concepts like pods, replication controllers and services.
The Salmon Algorithm Spawning with KubernetesCloudOps2005
Lindsey Tulloch, Software Engineer Intern at Red Hat, presented 'The Salmon Algorithm Spawning with Kubernetes' at Eastern Canada's Kubernetes and Cloud Native Meetups in 2019.
To see upcoming Kubernetes and Cloud Native meetups in Eastern Canada, please visit https://www.cloudops.com/workshop-calendar/#meetups
Modern application development with oracle cloud sangam17Vinay Kumar
How Oracle cloud helps in building modern application development. This explains Oracle Application container cloud with developer cloud service and etc. Spring boot application deployed in Oracle ACCS and CI/CD part done in Oracle Developer cloud service.
Flink Forward Berlin 2018: Lasse Nedergaard - "Our successful journey with Fl...Flink Forward
At Trackunit we have based our telematic IoT processing pipeline on Flink. We started out on version 1.2 and are now on 1.5. In this session I will share the lessons learned going from one giant Flink job to many smalls and some of the problems we have seen operating Flink on AWS EMR cluster, including topics such as:
• Why external enrichment can be challenging with Flink Async operator.
• Pattern to change external enrichment into streaming join.
• Building your own source
• Why Flink restart is great but should be avoided as it will terminate your cluster.
• Why iteration can cause deadlocking when backpressure occurs.
• Kinesis rate exceeded exception
• Why throttling Flink source read during catchup is needed.
• Why we moved from EMR/Kinesis and into DC/OS and kafka.
• And much more.
Containerizing stateful apps with Kubernetes and SUSE CaaS PlatformJuan Herrera Utande
SUSE Containers as a Service Platform (CaaSP) is the simpliest and fastest way to deploy and mantain a Kubernetes cluster with a rock-solid enterprise approach.
Once deployed not only container-native applications can leverage all its functionalities. Existing applications can also be repackaged in a containerized way thanks for Kubernete's unique features to deal with state and persistence. Thanks to volume management, stateful sets more and more applications can benefit from declarative deployments, autoscaling and self healing.
This presentation shows some tips about the main architectural challenges and also presents how SUSE dealt with them during their move to containerized deployment of its Cloud, PaaS and Storage solutions.
GitOps Core Concepts & Ways of Structuring Your ReposWeaveworks
Watch this talk on YouTube here: https://youtu.be/vLNZA_2Na_s
Whether you’re new to GitOps or a seasoned pro, this talk is for you! We'll start with the basics of how/where to get started, and then dive into one of the most asked GitOps questions: how to structure your repository!
During this talk, Scott & Pinky will review the Core Concepts of Flux including Git Sources, Reconciliation, Helm Releases, Kustomization, and Bootstrapping, to get you ramped up with how to think with a GitOps mindset! Then they’ll dive into and discuss considerations for and demo ways of structuring your repositories: monorepo, repo per environment, repo per team, or repo per app.
Resources:
- Flux on GitHub: https://github.com/fluxcd/flux2
- Flux docs: https://fluxcd.io/docs
- Core Concepts: https://fluxcd.io/docs/concepts/
- Sources: https://fluxcd.io/docs/components/source/
- Helm Releases: https://fluxcd.io/docs/guides/helmreleases/
- Kustomization: https://fluxcd.io/docs/components/kustomize/
Bootstrap: https://fluxcd.io/docs/installation/#bootstrap
- Ways of Structuring Your Repos: https://fluxcd.io/docs/guides/repository-structure/
Speaker Bios:
Priyanka “Pinky” Ravi is a Developer Experience Engineer at Weaveworks. She has worked on a multitude of topics including front end development, UI automation for testing and API development. Previously she was a software developer at a large insurance company where she was on the delivery engineering team working on GitOps enablement. She was instrumental in the multi-tenancy migration to utilize Flux for an internal Kubernetes offering. Outside of work, Priyanka enjoys hanging out with her husband and two rescue dogs as well as traveling around the globe.
Scott is a Brooklyn based interdisciplinary artist and Developer Advocate at Weaveworks. He co-founded the Basekamp art and research group in 1998 and the massively collaborative Plausible Artworlds international network. In technology he enjoys helping develop open source software that anyone can use, most recently projects in the cloud native landscape including co-maintaining Helm and Flux. In daily decisions, large or small, he tries to help make the world a better place for everyone.
With distributed tracing, we can track requests as they pass through multiple services, emitting timing and other metadata throughout, and this information can then be reassembled to provide a complete picture of the application’s behavior at runtime - Read more in https://blog.buoyant.io/2016/05/17/distributed-tracing-for-polyglot-microservices/ and https://www.rookout.com/
Creating Developer-Friendly Docker Containers with ChaperoneGary Wisniewski
Chaperone provides a lean, full-featured environment which simplifies development and deployment of container services while adding minimal overhead (a single process does it all).
No production system is complete without a way to monitor it. In software, we define observability as the ability to understand how our system is performing. This talk dives into capabilities and tools that are recommended for implementing observability when running K8s in production as the main platform today for deploying and maintaining containers with cloud-native solutions.
We start by introducing the concept of observability in the context of distributed systems such as K8s and the difference with monitoring. We continue by reviewing the observability stack in K8s and the main functionalities. Finally, we will review the tools K8s provides for monitoring and logging, and get metrics from applications and infrastructure.
Between the points to be discussed we can highlight:
-Introducing the concept of observability
-Observability stack in K8s
-Tools and apps for implementing Kubernetes observability
-Integrating Prometheus with OpenMetrics
What's new in Kubernetes 1.3?
New things like:
Petsets, init-containers, ubernetes, federated clusters, improved kubernetes UI, minikube, support for rkt, etc.
Also find out sources to learn Kubernetes, how to participate with k8s community.
KubeCon CloudNativeCon Seattle 2019 Recap - General overview and also summary of some of the application deployment track (App sig, Operator Framework, Helm, Kustomize, CNAB).
Sebastien Thomas, System Architect at Coyote Amerique, gave a presentation on operator frameworks. His talk covered how Operator SDK can be used to create Kubernetes Operators with Go.
Similar to Do we need a JHipster Kubernetes Operator? (20)
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Do we need a JHipster Kubernetes Operator?
1. 1
Do we need a JHipster Kubernetes
Operator?
https://github.com/salaboy/jhipster-operator
2. 2
About me
Mauricio Salatino: salaboy.com / @salaboy
Kubernetes-Addict in rehab,
Activiti Cloud Creator/Designer,
Spring Cloud Contributor,
Jenkins X Contributor,
JHipster Fan!
4. 4
Kubernetes Maturity Waves
The Journey is longer than we all though
R u n n i n g E x t e n d i n g C o n t r o l l e r s
& O p e r a t o r s
5. 5
Running
We need to get things running first
W r a p p i n g o u r L e g a c y U n d e r s t a n d i n g K 8 s
C o n c e p t s
A r c h i t e c t i n g f o r K 8 s
10. 10
(Quick Note)On K8s, Where?
Remote / Local ?
C l o u d P r o v i d e r s M i n i k u b e KIND
11. 11
Extending
We want K8s to understand about JHipster Specifics
D e f i n i n g o u r
o w n C o n c e p t s / R e s o u r c e s
C R D s L i n k i n g o u t C R D s t o
K 8 s R e s o u r c e s
13. 13
Operators
C o n t r o l / M o n i t o r R e c o n c i l e I n t e g r a t e
“An Operator is a Controller that uses CRDs (Custom Resource Defini8ons) to
encapsulate opera8onal knowledge for a specific applica8on..”
“A Controller ac8vely monitor and maintains a set of Kubernetes resources
in a desired state.”
14. 14
JHipster Operator
https://github.com/salaboy/jhipster-operator
• Understand JHipster Applications (root resource)
• And Modules (Gateway, MicroServices, Registry..)
• It makes K8s aware of these concepts
• Understand the app topology
• Understand how things are wired together
• Understand and validate the Applications State as a
whole
• Can provide hierarchical routing
• Can provide advanced lifecycle management
• Versioning
• Advanced Dynamic Routing
15. 15
Let’s see some code/
yaml!
https://github.com/salaboy/jhipster-operator