OpenStack and Kubernetes - A match made for Telco HeavenTrinath Somanchi
OpenStack and Kubernetes can work well together for telco applications by leveraging their complementary strengths in orchestrating and securing cloud infrastructure. Projects like Airship and Kata Containers are evolving OpenStack support for containers to address challenges in telco clouds. Airship provides a declarative way to introduce OpenStack on Kubernetes for lifecycle management at scale. Kata Containers adds virtualization capabilities to containers to achieve the security of VMs with the speed of containers. Together, these technologies can help telecom providers optimize resource utilization and quickly scale virtual network functions in response to fluctuating mobile data traffic demands.
Avanti Patil gives an introduction to Kubernetes. She discusses containers, Docker, and what Kubernetes is. Kubernetes is an open-source platform for managing containerized workloads and services. It facilitates declarative configuration and automation. The presentation covers Kubernetes architecture including the master node, worker nodes, pods, replica sets, and deployments. It also provides options for local Kubernetes development and a link to a self-paced tutorial. Avanti concludes by answering questions about Kubernetes.
In this session we'll discuss some of Kubernetes' basic concepts and talk about the architecture of the system, the problems it solves, and the model that it uses to handle containerized deployments and scaling.
Building Cloud-Native Applications with Kubernetes, Helm and KubelessBitnami
This document discusses building cloud-native applications with Kubernetes, Helm, and Kubeless. It introduces cloud-native concepts like containers and microservices. It then explains how Kubernetes provides container orchestration and Helm provides application packaging. Finally, it discusses how Kubeless enables serverless functionality on Kubernetes.
Container orchestration engine for automating deployment, scaling, and management of containerized applications.
What are Microservices?
What is container?
What is Containerization?
What is Docker?
Kubernetes: A Top Notch Automation SolutionFibonalabs
Kubernetes is a portable, extensible open-source platform that facilitates automated deployment, scaling, and management of Linux containerized applications. It was developed by Google, written using the GO language. It is a PaaS(Platform as a Service) when used on the cloud, whereas it is also flexible as an IaaS(Infrastructure as a Service) and SaaS(Software as a Service) by enabling portability, simplified scaling, and provision of robust software models.
Cloud technology with practical knowledgeAnshikaNigam8
Docker uses a client-server architecture with a Docker client communicating with the Docker daemon. The daemon manages Docker objects like images, containers, networks and volumes. Kubernetes is an open-source system that automates deployment, scaling, and management of containerized applications. It ensures containers run as expected and acquires necessary resources. Key Kubernetes components include pods, deployments, services, nodes, and the control plane which manages the cluster.
An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
Kubernetes: від знайомства до використання у CI/CDStfalcon Meetups
Kubernetes: від знайомства до використання у CI/CD
Олександр Занічковський
Technical Lead у компанії SoftServe
14+ років досвіду розробки різноманітного програмного забезпечення, як для десктопа, так і для веб
Працював фріланс-програмістом та в команді
Цікавиться архітектурою ПЗ, автоматизацією процесів інтеграції та доставки нових версій продукту, хмарними технологіями
Віднедавна займається менторінгом майбутніх техлідів
У вільний від роботи час грає на гітарі і мріє про велику сцену
Олександр поділиться власним досвідом роботи з Kubernetes:
ознайомить з базовими поняттями та примітивами K8S
опише можливі сценарії використання Kubernetes для CI/CD на прикладі GitLab
покаже, як можна використовувати постійне сховище, збирати метрики контейнерів, використовувати Ingress для роутинга запитів за певними правилами
покаже, як можна самому встановити K8S для ознайомлення чи локальної роботи
Webinar: OpenEBS - Still Free and now FASTEST Kubernetes storageMayaData Inc
Webinar Session - https://youtu.be/_5MfGMf8PG4
In this webinar, we share how the Container Attached Storage pattern makes performance tuning more tractable, by giving each workload its own storage system, thereby decreasing the variables needed to understand and tune performance.
We then introduce MayaStor, a breakthrough in the use of containers and Kubernetes as a data plane. MayaStor is the first containerized data engine available that delivers near the theoretical maximum performance of underlying systems. MayaStor performance scales with the underlying hardware and has been shown, for example, to deliver in excess of 10 million IOPS in a particular environment.
OSDC 2017: Automating Kubernetes Cluster Operations with Operators by Timo De...NETWAYS
At Giant Swarm, we manage Kubernetes clusters for customers 24/7, both on-premises and in the cloud. That means we do not just set something up and hand it over, but we actually take care that it’s operational and up-to-date at all times.
In this talk Timo explains how Giant Swarm are using Operators to codify all operational tasks of managing Kubernetes cluster and distributed applications on top. The operators manage PKI infrastructures, networks, VMs and storage both on-premises and in the cloud. There have been a lots of challenges and learnings in the past year and Timo would like to share them with you.
OSDC 2017 - Timo Derstappen - Automating kubernetes cluster operations with o...NETWAYS
At Giant Swarm, we manage Kubernetes clusters for customers 24/7, both on-premises and in the cloud. That means we do not just set something up and hand it over, but we actually take care that it’s operational and up-to-date at all times.
In this talk Timo explains how Giant Swarm are using Operators to codify all operational tasks of managing Kubernetes cluster and distributed applications on top. The operators manage PKI infrastructures, networks, VMs and storage both on-premises and in the cloud. There have been a lots of challenges and learnings in the past year and Timo would like to share them with you.
Choosing PaaS: Cisco and Open Source Options: an overviewCisco DevNet
This document discusses container platforms and PaaS. It provides context on containers and supporting technologies like Docker. It describes how containers are limited when confined to a single host, and how schedulers can distribute containers across multiple hosts. It outlines common production tools used with containers like configuration management, monitoring, and logging. It compares PaaS and containers, noting how PaaS consumed containers before they were widely known, and how the lines between the two are blurring as container platforms provide more services. It introduces Mantl as Cisco's container stack designed to run container workloads and big data applications across clouds.
Docker is an open-source tool that allows developers to easily deploy applications inside isolated containers. Kubernetes is an open-source system for automating deployment and management of containerized applications across clusters of hosts. It coordinates containerized applications across nodes by providing mechanisms for scheduling, service discovery, and load balancing. The key components of Kubernetes include Pods, Services, ReplicationControllers, Scheduler, API Server, etcd and Nodes.
An overview of Mesos and Kubernetes ecosystem including overview, architecture, customers and partners. For a beginner it will give a good covering of all the basics!
Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers
This document provides an overview of Kubernetes concepts including:
- Kubernetes architecture with masters running control plane components like the API server, scheduler, and controller manager, and nodes running pods and node agents.
- Key Kubernetes objects like pods, services, deployments, statefulsets, jobs and cronjobs that define and manage workloads.
- Networking concepts like services for service discovery, and ingress for external access.
- Storage with volumes, persistentvolumes, persistentvolumeclaims and storageclasses.
- Configuration with configmaps and secrets.
- Authentication and authorization using roles, rolebindings and serviceaccounts.
It also discusses Kubernetes installation with minikube, and common networking and deployment
Kubernetes (commonly referred to as "K8s") is an open-source system for automating deployment, scaling and management of containerized applications It aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts". We will see Kubernetes architecture, use cases, basics and live demo
Introduction to containers, k8s, Microservices & Cloud NativeTerry Wang
Slides built to upskill and enable internal team and/or partners on foundational infra skills to work in a containerized world.
Topics covered
- Container / Containerization
- Docker
- k8s / container orchestration
- Microservices
- Service Mesh / Serverless
- Cloud Native (apps & infra)
- Relationship between Kubernetes and Runtime Fabric
Audiences: MuleSoft internal technical team, partners, Runtime Fabric users.
Mastering Kubernetes_ The Ultimate Guide for Modern DevOps.docxNytcc
Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications. Developed by Google, it helps orchestrate containers across a cluster of machines, ensuring applications run reliably and efficiently. Kubernetes features automated load balancing, self-healing, and horizontal scaling. It organizes containers into pods, enabling seamless management and resource sharing. Widely adopted in DevOps workflows, Kubernetes simplifies complex infrastructure tasks, making it a cornerstone for modern cloud-native and microservices-based application development.
This document provides an overview of Kubernetes, including its architecture, components, concepts, and configuration. It describes that Kubernetes is an open-source container orchestration system designed by Google to manage containerized applications across multiple hosts. The key components include the master nodes which run control plane components like the API server, scheduler, and controller manager, and worker nodes which run the kubelet and containers. It also explains concepts like pods, services, deployments, networking, storage, and role-based access control (RBAC).
This document discusses running Kubernetes on OpenStack at scale. It describes how OpenStack provides automated provisioning of infrastructure resources, while Kubernetes provides a container platform for consuming those resources. The advantages of combining these technologies include fully automated infrastructure, consistent management experience, isolation for workloads, and leveraging existing plugins. It provides an example architecture using Red Hat OpenShift on OpenStack with key components like Ceph storage, Neutron networking integrated via Kuryr, and Heat for orchestration.
Method of NUMA-Aware Resource Management for Kubernetes 5G NFV Clusterbyonggon chun
Introduce the container runtime environment which is set up with Kubernetes and various CRI runtimes(Docker, Containerd, CRI-O) and the method of NUMA-aware resource management(CPU Manager, Topology Manager, Etc) for CNF(Containerized Network Function) within Kubernetes and related issues.
This Knolx session discusses how stateless and stateful applications can be deployed over Kubernetes using Stateful Sets. In the demo, we see how requirements for stateful services could be met and how Cassandra, a stateful service could be started over Kubernetes
In Apache Cassandra Lunch #41: Apache Cassandra Lunch #41: Cassandra on Kubernetes - Docker/Kubernetes/Helm Part 1, we discuss Cassandra on Kubernetes and give an introduction to Docker, Kubernetes, and Helm.
Accompanying Blog: https://blog.anant.us/apache-cassandra-lunch-41-cassandra-on-kubernetes-docker-kubernetes-helm-part-1/
Accompanying YouTube: https://youtu.be/-I8cKQO_Qr0
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
[email protected]
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
DevNetCreate - ACI and Kubernetes IntegrationHank Preston
This document provides an overview of Kubernetes and how it can be integrated with Cisco Application Centric Infrastructure (ACI) through the ACI Networking plugin for Kubernetes. It discusses Kubernetes concepts like pods, deployments, services and namespaces. It then explains how the ACI plugin maps these Kubernetes objects to ACI objects like endpoint groups, contracts and virtual device contexts to provide network isolation and policies. The rest of the document outlines a hands-on lab where users can set up their own Kubernetes cluster integrated with ACI and deploy applications with different levels of network isolation.
Rancher master class globalized edge workloads with k3sJoseph Marhee
This document discusses using K3s (a lightweight Kubernetes distribution) to deploy globalized edge workloads on bare metal servers located at infrastructure edge locations. It provides examples of edge architectures using K3s for database replication, function-as-a-service workloads, and content delivery. Packet Labs enhances these patterns by providing bare metal servers across multiple core and edge sites with network automation and anycast IP addressing to easily deploy and manage K3s clusters globally. The document demonstrates deploying a location-aware application on K3s using orchestration tools to provision a standardized cluster pool across Packet infrastructure.
Revitalizing a high-volume, underperforming Salesforce environment requires a structured, phased plan. The objective for company is to stabilize, scale, and future-proof the platform.
Here presenting various improvement techniques that i learned over a decade of experience
An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
Kubernetes: від знайомства до використання у CI/CDStfalcon Meetups
Kubernetes: від знайомства до використання у CI/CD
Олександр Занічковський
Technical Lead у компанії SoftServe
14+ років досвіду розробки різноманітного програмного забезпечення, як для десктопа, так і для веб
Працював фріланс-програмістом та в команді
Цікавиться архітектурою ПЗ, автоматизацією процесів інтеграції та доставки нових версій продукту, хмарними технологіями
Віднедавна займається менторінгом майбутніх техлідів
У вільний від роботи час грає на гітарі і мріє про велику сцену
Олександр поділиться власним досвідом роботи з Kubernetes:
ознайомить з базовими поняттями та примітивами K8S
опише можливі сценарії використання Kubernetes для CI/CD на прикладі GitLab
покаже, як можна використовувати постійне сховище, збирати метрики контейнерів, використовувати Ingress для роутинга запитів за певними правилами
покаже, як можна самому встановити K8S для ознайомлення чи локальної роботи
Webinar: OpenEBS - Still Free and now FASTEST Kubernetes storageMayaData Inc
Webinar Session - https://youtu.be/_5MfGMf8PG4
In this webinar, we share how the Container Attached Storage pattern makes performance tuning more tractable, by giving each workload its own storage system, thereby decreasing the variables needed to understand and tune performance.
We then introduce MayaStor, a breakthrough in the use of containers and Kubernetes as a data plane. MayaStor is the first containerized data engine available that delivers near the theoretical maximum performance of underlying systems. MayaStor performance scales with the underlying hardware and has been shown, for example, to deliver in excess of 10 million IOPS in a particular environment.
OSDC 2017: Automating Kubernetes Cluster Operations with Operators by Timo De...NETWAYS
At Giant Swarm, we manage Kubernetes clusters for customers 24/7, both on-premises and in the cloud. That means we do not just set something up and hand it over, but we actually take care that it’s operational and up-to-date at all times.
In this talk Timo explains how Giant Swarm are using Operators to codify all operational tasks of managing Kubernetes cluster and distributed applications on top. The operators manage PKI infrastructures, networks, VMs and storage both on-premises and in the cloud. There have been a lots of challenges and learnings in the past year and Timo would like to share them with you.
OSDC 2017 - Timo Derstappen - Automating kubernetes cluster operations with o...NETWAYS
At Giant Swarm, we manage Kubernetes clusters for customers 24/7, both on-premises and in the cloud. That means we do not just set something up and hand it over, but we actually take care that it’s operational and up-to-date at all times.
In this talk Timo explains how Giant Swarm are using Operators to codify all operational tasks of managing Kubernetes cluster and distributed applications on top. The operators manage PKI infrastructures, networks, VMs and storage both on-premises and in the cloud. There have been a lots of challenges and learnings in the past year and Timo would like to share them with you.
Choosing PaaS: Cisco and Open Source Options: an overviewCisco DevNet
This document discusses container platforms and PaaS. It provides context on containers and supporting technologies like Docker. It describes how containers are limited when confined to a single host, and how schedulers can distribute containers across multiple hosts. It outlines common production tools used with containers like configuration management, monitoring, and logging. It compares PaaS and containers, noting how PaaS consumed containers before they were widely known, and how the lines between the two are blurring as container platforms provide more services. It introduces Mantl as Cisco's container stack designed to run container workloads and big data applications across clouds.
Docker is an open-source tool that allows developers to easily deploy applications inside isolated containers. Kubernetes is an open-source system for automating deployment and management of containerized applications across clusters of hosts. It coordinates containerized applications across nodes by providing mechanisms for scheduling, service discovery, and load balancing. The key components of Kubernetes include Pods, Services, ReplicationControllers, Scheduler, API Server, etcd and Nodes.
An overview of Mesos and Kubernetes ecosystem including overview, architecture, customers and partners. For a beginner it will give a good covering of all the basics!
Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers
This document provides an overview of Kubernetes concepts including:
- Kubernetes architecture with masters running control plane components like the API server, scheduler, and controller manager, and nodes running pods and node agents.
- Key Kubernetes objects like pods, services, deployments, statefulsets, jobs and cronjobs that define and manage workloads.
- Networking concepts like services for service discovery, and ingress for external access.
- Storage with volumes, persistentvolumes, persistentvolumeclaims and storageclasses.
- Configuration with configmaps and secrets.
- Authentication and authorization using roles, rolebindings and serviceaccounts.
It also discusses Kubernetes installation with minikube, and common networking and deployment
Kubernetes (commonly referred to as "K8s") is an open-source system for automating deployment, scaling and management of containerized applications It aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts". We will see Kubernetes architecture, use cases, basics and live demo
Introduction to containers, k8s, Microservices & Cloud NativeTerry Wang
Slides built to upskill and enable internal team and/or partners on foundational infra skills to work in a containerized world.
Topics covered
- Container / Containerization
- Docker
- k8s / container orchestration
- Microservices
- Service Mesh / Serverless
- Cloud Native (apps & infra)
- Relationship between Kubernetes and Runtime Fabric
Audiences: MuleSoft internal technical team, partners, Runtime Fabric users.
Mastering Kubernetes_ The Ultimate Guide for Modern DevOps.docxNytcc
Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications. Developed by Google, it helps orchestrate containers across a cluster of machines, ensuring applications run reliably and efficiently. Kubernetes features automated load balancing, self-healing, and horizontal scaling. It organizes containers into pods, enabling seamless management and resource sharing. Widely adopted in DevOps workflows, Kubernetes simplifies complex infrastructure tasks, making it a cornerstone for modern cloud-native and microservices-based application development.
This document provides an overview of Kubernetes, including its architecture, components, concepts, and configuration. It describes that Kubernetes is an open-source container orchestration system designed by Google to manage containerized applications across multiple hosts. The key components include the master nodes which run control plane components like the API server, scheduler, and controller manager, and worker nodes which run the kubelet and containers. It also explains concepts like pods, services, deployments, networking, storage, and role-based access control (RBAC).
This document discusses running Kubernetes on OpenStack at scale. It describes how OpenStack provides automated provisioning of infrastructure resources, while Kubernetes provides a container platform for consuming those resources. The advantages of combining these technologies include fully automated infrastructure, consistent management experience, isolation for workloads, and leveraging existing plugins. It provides an example architecture using Red Hat OpenShift on OpenStack with key components like Ceph storage, Neutron networking integrated via Kuryr, and Heat for orchestration.
Method of NUMA-Aware Resource Management for Kubernetes 5G NFV Clusterbyonggon chun
Introduce the container runtime environment which is set up with Kubernetes and various CRI runtimes(Docker, Containerd, CRI-O) and the method of NUMA-aware resource management(CPU Manager, Topology Manager, Etc) for CNF(Containerized Network Function) within Kubernetes and related issues.
This Knolx session discusses how stateless and stateful applications can be deployed over Kubernetes using Stateful Sets. In the demo, we see how requirements for stateful services could be met and how Cassandra, a stateful service could be started over Kubernetes
In Apache Cassandra Lunch #41: Apache Cassandra Lunch #41: Cassandra on Kubernetes - Docker/Kubernetes/Helm Part 1, we discuss Cassandra on Kubernetes and give an introduction to Docker, Kubernetes, and Helm.
Accompanying Blog: https://blog.anant.us/apache-cassandra-lunch-41-cassandra-on-kubernetes-docker-kubernetes-helm-part-1/
Accompanying YouTube: https://youtu.be/-I8cKQO_Qr0
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
[email protected]
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
DevNetCreate - ACI and Kubernetes IntegrationHank Preston
This document provides an overview of Kubernetes and how it can be integrated with Cisco Application Centric Infrastructure (ACI) through the ACI Networking plugin for Kubernetes. It discusses Kubernetes concepts like pods, deployments, services and namespaces. It then explains how the ACI plugin maps these Kubernetes objects to ACI objects like endpoint groups, contracts and virtual device contexts to provide network isolation and policies. The rest of the document outlines a hands-on lab where users can set up their own Kubernetes cluster integrated with ACI and deploy applications with different levels of network isolation.
Rancher master class globalized edge workloads with k3sJoseph Marhee
This document discusses using K3s (a lightweight Kubernetes distribution) to deploy globalized edge workloads on bare metal servers located at infrastructure edge locations. It provides examples of edge architectures using K3s for database replication, function-as-a-service workloads, and content delivery. Packet Labs enhances these patterns by providing bare metal servers across multiple core and edge sites with network automation and anycast IP addressing to easily deploy and manage K3s clusters globally. The document demonstrates deploying a location-aware application on K3s using orchestration tools to provision a standardized cluster pool across Packet infrastructure.
Revitalizing a high-volume, underperforming Salesforce environment requires a structured, phased plan. The objective for company is to stabilize, scale, and future-proof the platform.
Here presenting various improvement techniques that i learned over a decade of experience
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Download Wondershare Filmora Crack [2025] With Latesttahirabibi60507
Copy & Past Link 👉👉
http://drfiles.net/
Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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Minitab is a statistical software package designed for data analysis, quality improvement, and Six Sigma applications. It's used by businesses, universities, and individuals to analyze data, identify patterns, and make data-driven decisions.
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Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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Avast Premium Security is a paid subscription service that provides comprehensive online security and privacy protection for multiple devices. It includes features like antivirus, firewall, ransomware protection, and website scanning, all designed to safeguard against a wide range of online threats, according to Avast.
Key features of Avast Premium Security:
Antivirus: Protects against viruses, malware, and other malicious software, according to Avast.
Firewall: Controls network traffic and blocks unauthorized access to your devices, as noted by All About Cookies.
Ransomware protection: Helps prevent ransomware attacks, which can encrypt your files and hold them hostage.
Website scanning: Checks websites for malicious content before you visit them, according to Avast.
Email Guardian: Scans your emails for suspicious attachments and phishing attempts.
Multi-device protection: Covers up to 10 devices, including Windows, Mac, Android, and iOS, as stated by 2GO Software.
Privacy features: Helps protect your personal data and online privacy.
In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
3. What will you learn today?
● What is Kubernetes?
● Why it's essential for a modern platform
● Key cluster components
● Getting started
● Let's set up a cluster (IAC)
○ A Day in the Life of a Kubernetes Engineer
4. Introduction to the CNCF and Its Landscape
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The Cloud Native Computing Foundation (CNCF) is
an open-source organization that’s part of the Linux
Foundation. Its mission? To promote cloud-native
technologies that make applications scalable,
resilient, and portable.
5. What Are Containers?
A container is a portable, lightweight environment that
includes:
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- Dependencies: Libraries and binaries required to run
your app.
- Configuration files: All necessary settings.
Containers make it easy to run applications consistently
across different environments.
6. How Containers Fit into Platform
Engineering
As a Platform Engineer, containers provide the foundation for:
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developers.
- Scalability: Work seamlessly with orchestrators like
Kubernetes.
- Automation: Simplify application builds and deployments.
7. What Is Kubernetes?
Kubernetes (K8s for short) is an open-source platform
for managing and scaling containerized applications.
It’s like having a super-smart conductor for your
orchestra of applications, ensuring everything runs
smoothly, even when things go wrong.
8. Why Is Kubernetes Essential?
- Scalability: Automatically adjusts resources based on
demand.
- Resilience: Detects and fixes issues (e.g., restarts failed
containers).
- Efficiency: Maximizes hardware usage across your
infrastructure.
- Portability: Run it on any cloud or on-premise environment.
For Platform Engineers, Kubernetes is the cornerstone of
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workloads efficiently.
9. The Core Building Blocks of Kubernetes
- Pod
- The smallest deployable unit in
Kubernetes.
- Usually contains a single
container but can also include
multiple tightly coupled
containers.
- Node
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(physical or virtual)
that runs your pods.
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by the Kubernetes
control plane.
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working together,
forming the
environment where
your applications run.
- Namespace
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within a cluster, useful
for organizing
resources.
- Example: Separate
environments for
development, staging,
and production.
- Service
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other.
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manages pods and
ensures your
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