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Google Cloud Platform (GCP) provides AI and machine learning, data analytics, and developer services. Key executives include Eric Schmidt, Sundar Pichai, and Diane Green. Fei Fei Li noted vision will be a major AI application. GCP has advantages in AI/ML, lower costs than AWS and Azure, handling large data sets, scaling, and archival storage. It continues to expand regions and capabilities against competitors.
1) Cloud computing can significantly reduce IT costs compared to traditional computing, with potential cost savings of up to 50%. This is due to economies of scale, reduced maintenance costs, and more efficient use of resources.
2) Deploying applications and infrastructure to the cloud has near-zero upfront costs and can be done instantly. This eliminates the need for large initial capital expenditures on hardware and reduces IT staffing needs.
3) Using cloud computing provides greater flexibility and reliability compared to maintaining physical infrastructure. Resources can be rapidly and easily scaled up or down as needed without long-term commitments or hardware management.
we offer result-oriented GCP services to match your business requirements. We are implemented the own cloud computing systems.
https://www.techprofuse.com/cloud-2/google-cloud-platform/
Cloud computing allows users to access computing resources like software, databases, and applications over the internet. It provides on-demand, self-service access to resources that can be scaled up or down depending on needs. Resources are pooled and hosted by cloud providers, allowing users to pay only for what they use rather than owning physical infrastructure. This delivery model provides flexibility and cost savings compared to traditional on-site hosting of resources.
TADSummit Dangerous Demo: Ubuntu / Canonical, Artur TylochAlan Quayle
Juju provides a universal model for service-oriented architecture by modeling all software installed on "machines" as interconnecting "services" and "relations". It can help businesses solve problems by composing bundled application services and help developers think of software projects as components connected together. On the next day, Juju demonstrations will show open source scalable services, how to build telco infrastructure using containers and Juju, adding billing capabilities to create production-ready services, and how to reduce infrastructure costs using containers with Juju.
How to build & run a SaaS with a team of twoEficode
Kai Inkinen
Co-Founder – Aito.ai
Kai is a specialist in software architecture and development, technical architecture, continuous deployment and version control.
Kimmo Brunfeldt
Head of Customer Experience – Aito.ai
Kimmo is a business-focused developer who likes people, design, open source, creative concepts, and different cultures without forgetting tiny perfect details. Co-founder of Alvar Carto.
This change in mindset is further reinforced with the availability of Elastic Infrastructure -- the pinnacle of computing efficiency.
On-demand compute resources created as needed and discarded at will, presents organizations with the flexibility and agility required to launch new businesses and programs at the drop of a hat.
Cost-efficiency and faster time-to-market are no longer business goals, but opportunities to capitalize on.
With infrastructure-as-a-service, IT heads now have the capability to become business enablers within their company.
Google Cloud Platform (GCP) provides AI and machine learning, data analytics, and developer services. Key executives include Eric Schmidt, Sundar Pichai, and Diane Green. Fei Fei Li noted vision will be a major AI application. GCP has advantages in AI/ML, lower costs than AWS and Azure, handling large data sets, scaling, and archival storage. It continues to expand regions and capabilities against competitors.
1) Cloud computing can significantly reduce IT costs compared to traditional computing, with potential cost savings of up to 50%. This is due to economies of scale, reduced maintenance costs, and more efficient use of resources.
2) Deploying applications and infrastructure to the cloud has near-zero upfront costs and can be done instantly. This eliminates the need for large initial capital expenditures on hardware and reduces IT staffing needs.
3) Using cloud computing provides greater flexibility and reliability compared to maintaining physical infrastructure. Resources can be rapidly and easily scaled up or down as needed without long-term commitments or hardware management.
we offer result-oriented GCP services to match your business requirements. We are implemented the own cloud computing systems.
https://www.techprofuse.com/cloud-2/google-cloud-platform/
Cloud computing allows users to access computing resources like software, databases, and applications over the internet. It provides on-demand, self-service access to resources that can be scaled up or down depending on needs. Resources are pooled and hosted by cloud providers, allowing users to pay only for what they use rather than owning physical infrastructure. This delivery model provides flexibility and cost savings compared to traditional on-site hosting of resources.
TADSummit Dangerous Demo: Ubuntu / Canonical, Artur TylochAlan Quayle
Juju provides a universal model for service-oriented architecture by modeling all software installed on "machines" as interconnecting "services" and "relations". It can help businesses solve problems by composing bundled application services and help developers think of software projects as components connected together. On the next day, Juju demonstrations will show open source scalable services, how to build telco infrastructure using containers and Juju, adding billing capabilities to create production-ready services, and how to reduce infrastructure costs using containers with Juju.
How to build & run a SaaS with a team of twoEficode
Kai Inkinen
Co-Founder – Aito.ai
Kai is a specialist in software architecture and development, technical architecture, continuous deployment and version control.
Kimmo Brunfeldt
Head of Customer Experience – Aito.ai
Kimmo is a business-focused developer who likes people, design, open source, creative concepts, and different cultures without forgetting tiny perfect details. Co-founder of Alvar Carto.
This change in mindset is further reinforced with the availability of Elastic Infrastructure -- the pinnacle of computing efficiency.
On-demand compute resources created as needed and discarded at will, presents organizations with the flexibility and agility required to launch new businesses and programs at the drop of a hat.
Cost-efficiency and faster time-to-market are no longer business goals, but opportunities to capitalize on.
With infrastructure-as-a-service, IT heads now have the capability to become business enablers within their company.
Cloud computing allows users to increase resources and capabilities without investing in new infrastructure by providing subscription-based services over the Internet. It encompasses services like software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) that extend existing IT capabilities. Cloud computing provides computation, software, data access, and storage without users needing knowledge of the underlying system infrastructure.
High availability, real-time and scalable architecturesJampp
Presented at the Architecture Conference (ArqConf) in Buenos Aires, Argentina. Here is a 10,000ft view of our Real Time Bidding and Stream Processing architecture.
SaaS, multi clouds and many more- all that create cost perks for the leading ...Intelebee
The global IT significantly influenced by Cloud Computing. Al, IoT and analytics are the technologies that are employed by cloud vendors to increase profits. The most prominent cloud players in 2019 will be Amazon Web Services, Google Cloud, Microsoft Azure and IBM Cloud.
Processing 19 billion messages in real time and NOT dying in the processJampp
Here is an introduction in the Jampp architecture for data processing. We walk through our journey of migrating to systems that allows us to process more data in real time
Spotinst: Cut AWS Costs: Using Spot Instances for More Than BatchRightScale
Think spot instances are only for batch jobs? It’s time to think again. In this webinar you will learn about new capabilities and techniques for using spot instances. Many AWS users are using spot for development, test, and even production applications. Learn about new spot capabilities from AWS and find out how Spotinst’s Elastigroup tool integrates with RightScale to help you save money.
The document discusses the need for a new approach to open data integration for smart e-mobility applications. There are billions of data sources and formats from IoT devices that need to be integrated, verified and incentivized for use by data consumers and providers. A proposed solution is the Open Charging Cloud that would use blockchains and smart contracts to track data provenance, ensure transparency of updates, and facilitate micropayments to incentivize open data sharing. This could help applications like automatic vehicle charging and integrate renewable energy sources into the power grid.
The document discusses sharing and incentivizing e-mobility data through an Open Charging Cloud. It aims to integrate billions of data sources in multiple formats through an open data approach and using blockchain and smart contracts. This will allow for verified, incentivized data sharing between data consumers and providers. The Open Charging Cloud has organized open e-mobility data for projects and is working with retailers on pilot projects starting in late 2017.
“IaaS, communicatie en online werkplekaanbieders zullen in de toekomst samensmelten tot een bredere infrastructuur categorie” voorspelt METISfiles analist Pim Bilderbeek. “We verwachten ook een toename van Nederlandse aanbieders van online marketing en social media tools. Met een gemiddelde verwachte jaarlijkse groei van 29% en een marktomvang van meer dan €1 miljard in 2016 kunnen Nederlandse ICT bedrijven de publieke cloud niet negeren. We verwachten dan ook dat het aantal Nederlands cloudaanbieders sterk zal groeien, naarmate meer Nederlandse bedrijven de cloud omarmen”.
How Mentor Graphics Uses Google Cloud for the Internet of Things - Google Clo...RightScale
Mentor Graphics is building on its expertise in mobile to provide a cloud services platform for the Internet of Things (IoT). EZmobilePrint, one of the first apps on the platform, lets mobile devices connect to printers in coffee shops or other public places. Mentor Graphics leverages Google Cloud Platform and RightScale to provide automated, scalable infrastructure to power this next-generation IoT platform and many more applications to come.
Docker is a container platform that provides a way to package applications and their dependencies in a standardized unit for software development. It allows applications to run reliably from one computing environment to another by using containers to isolate applications from conflicts with other applications or the underlying infrastructure. The presentation discusses how Docker can accelerate continuous integration and delivery, improve developer onboarding, reduce data center overhead, and how it has helped customers like BunchBall, Uber, and BBC News. It also covers Docker's history, revenue sources, notable partners, and competition in the container space.
Building a real-time, scalable and intelligent programmatic ad buying platformJampp
After a brief introduction to programmatic ads and RTB we go through the evolution of Jampp's data platform to handle the enormous about of data we need to process.
The document summarizes a seminar presentation on cloud computing given by Ashutosh Kumar Dwivedi. It defines cloud computing as computing relying on shared resources over the internet rather than local servers. It outlines that cloud services include software as a service, platform as a service, infrastructure as a service, and data as a service. Advantages of cloud computing include cost savings, manageability, reliability and easy usage, while disadvantages include potential down time, security issues, vendor lock-in and limited control.
- The document discusses using AWS to build a large-scale, Dockerized microservices architecture for moovel Group GmbH's mobility app.
- It outlines moovel's goals of simplifying mobility now and solving future challenges through a mobility-as-a-service platform.
- The architecture uses AWS services like ECS, SQS, and Kinesis along with Docker containers, microservices, and an API gateway to achieve scalability, independent development, and minimal operational effort across teams.
The document discusses the adoption of cloud computing in financial markets. It notes that in 2008, cloud computing was seen as "complete gibberish" but by 2012 large financial institutions were spending billions on cloud acquisitions. It addresses concerns over data security and availability in the cloud. The document also outlines different cloud deployment models and workload migration options for financial firms to utilize the cloud in areas like research, analysis, and trade capture.
This document discusses cloud computing and cloud technology options. It describes cloud computing as using remote virtual servers over the Internet rather than local servers. It mentions several national and local cloud providers, including Amazon, Google, Microsoft Azure, Expedient, Platform Lab, BlueMile, Qwest and eCommerce. The document discusses how cloud computing can save money and increase capabilities by utilizing remote infrastructure instead of local hardware. It provides examples of common cloud computing uses like email, web hosting, apps and storage. The document also describes Platform Lab and how it provides affordable cloud services and infrastructure for testing.
GeoPython - Mapping Data in Jupyter Notebooks with PixieDustMargriet Groenendijk
This document discusses using PixieDust to create data visualizations and maps in Jupyter notebooks. PixieDust allows users to easily create visualizations with a simple display() function call and integrate data from notebooks with cloud services. Features highlighted include the package manager, various visualization options, integration with Scala, custom visualization creation, and embedding apps in notebooks. The document concludes with references for further information.
Cloud Native Demystified: Build Once, Run Anywhere!Codit
This document discusses building cloud native applications that can run anywhere. It defines cloud native as using containers, microservices, and DevOps processes. It outlines common cloud native scenarios and Microsoft's contributions to open source projects like Kubernetes. It discusses how containers allow applications to run on platforms like Azure PaaS, Kubernetes, and self-hosted clusters. The document demonstrates deploying containerized applications to these platforms and managing clusters with Azure Arc. It advises starting simply and growing complexity as needed, using Kubernetes for its portability benefits but otherwise preferring simpler platforms when possible.
How Google Cloud is Changing Business in the FutureNirvana Canada
Demand for cloud-based services has grown exponentially over the last couple of years. The market is seeing double-digit growth in areas such as SaaS (software as a service), PaaS (platform as a service), and IaaS (infrastructure as a service) as organizations look to trim budgets and boost business efficiency.
Google Cloud Platform is a suite of cloud computing services offered by Google that provides modular services like computing, storage, data analytics and machine learning. It uses the same infrastructure as Google's consumer products. GCP is a public cloud that offers computing resources for tasks like data management, web/video delivery and AI/machine learning tools. Some key components of GCP include Compute, Storage, Databases, Networking, Operations, Developer Tools and Data Analytics. GCP also offers a free tier for limited access to select services and resources.
Cloud computing allows users to increase resources and capabilities without investing in new infrastructure by providing subscription-based services over the Internet. It encompasses services like software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) that extend existing IT capabilities. Cloud computing provides computation, software, data access, and storage without users needing knowledge of the underlying system infrastructure.
High availability, real-time and scalable architecturesJampp
Presented at the Architecture Conference (ArqConf) in Buenos Aires, Argentina. Here is a 10,000ft view of our Real Time Bidding and Stream Processing architecture.
SaaS, multi clouds and many more- all that create cost perks for the leading ...Intelebee
The global IT significantly influenced by Cloud Computing. Al, IoT and analytics are the technologies that are employed by cloud vendors to increase profits. The most prominent cloud players in 2019 will be Amazon Web Services, Google Cloud, Microsoft Azure and IBM Cloud.
Processing 19 billion messages in real time and NOT dying in the processJampp
Here is an introduction in the Jampp architecture for data processing. We walk through our journey of migrating to systems that allows us to process more data in real time
Spotinst: Cut AWS Costs: Using Spot Instances for More Than BatchRightScale
Think spot instances are only for batch jobs? It’s time to think again. In this webinar you will learn about new capabilities and techniques for using spot instances. Many AWS users are using spot for development, test, and even production applications. Learn about new spot capabilities from AWS and find out how Spotinst’s Elastigroup tool integrates with RightScale to help you save money.
The document discusses the need for a new approach to open data integration for smart e-mobility applications. There are billions of data sources and formats from IoT devices that need to be integrated, verified and incentivized for use by data consumers and providers. A proposed solution is the Open Charging Cloud that would use blockchains and smart contracts to track data provenance, ensure transparency of updates, and facilitate micropayments to incentivize open data sharing. This could help applications like automatic vehicle charging and integrate renewable energy sources into the power grid.
The document discusses sharing and incentivizing e-mobility data through an Open Charging Cloud. It aims to integrate billions of data sources in multiple formats through an open data approach and using blockchain and smart contracts. This will allow for verified, incentivized data sharing between data consumers and providers. The Open Charging Cloud has organized open e-mobility data for projects and is working with retailers on pilot projects starting in late 2017.
“IaaS, communicatie en online werkplekaanbieders zullen in de toekomst samensmelten tot een bredere infrastructuur categorie” voorspelt METISfiles analist Pim Bilderbeek. “We verwachten ook een toename van Nederlandse aanbieders van online marketing en social media tools. Met een gemiddelde verwachte jaarlijkse groei van 29% en een marktomvang van meer dan €1 miljard in 2016 kunnen Nederlandse ICT bedrijven de publieke cloud niet negeren. We verwachten dan ook dat het aantal Nederlands cloudaanbieders sterk zal groeien, naarmate meer Nederlandse bedrijven de cloud omarmen”.
How Mentor Graphics Uses Google Cloud for the Internet of Things - Google Clo...RightScale
Mentor Graphics is building on its expertise in mobile to provide a cloud services platform for the Internet of Things (IoT). EZmobilePrint, one of the first apps on the platform, lets mobile devices connect to printers in coffee shops or other public places. Mentor Graphics leverages Google Cloud Platform and RightScale to provide automated, scalable infrastructure to power this next-generation IoT platform and many more applications to come.
Docker is a container platform that provides a way to package applications and their dependencies in a standardized unit for software development. It allows applications to run reliably from one computing environment to another by using containers to isolate applications from conflicts with other applications or the underlying infrastructure. The presentation discusses how Docker can accelerate continuous integration and delivery, improve developer onboarding, reduce data center overhead, and how it has helped customers like BunchBall, Uber, and BBC News. It also covers Docker's history, revenue sources, notable partners, and competition in the container space.
Building a real-time, scalable and intelligent programmatic ad buying platformJampp
After a brief introduction to programmatic ads and RTB we go through the evolution of Jampp's data platform to handle the enormous about of data we need to process.
The document summarizes a seminar presentation on cloud computing given by Ashutosh Kumar Dwivedi. It defines cloud computing as computing relying on shared resources over the internet rather than local servers. It outlines that cloud services include software as a service, platform as a service, infrastructure as a service, and data as a service. Advantages of cloud computing include cost savings, manageability, reliability and easy usage, while disadvantages include potential down time, security issues, vendor lock-in and limited control.
- The document discusses using AWS to build a large-scale, Dockerized microservices architecture for moovel Group GmbH's mobility app.
- It outlines moovel's goals of simplifying mobility now and solving future challenges through a mobility-as-a-service platform.
- The architecture uses AWS services like ECS, SQS, and Kinesis along with Docker containers, microservices, and an API gateway to achieve scalability, independent development, and minimal operational effort across teams.
The document discusses the adoption of cloud computing in financial markets. It notes that in 2008, cloud computing was seen as "complete gibberish" but by 2012 large financial institutions were spending billions on cloud acquisitions. It addresses concerns over data security and availability in the cloud. The document also outlines different cloud deployment models and workload migration options for financial firms to utilize the cloud in areas like research, analysis, and trade capture.
This document discusses cloud computing and cloud technology options. It describes cloud computing as using remote virtual servers over the Internet rather than local servers. It mentions several national and local cloud providers, including Amazon, Google, Microsoft Azure, Expedient, Platform Lab, BlueMile, Qwest and eCommerce. The document discusses how cloud computing can save money and increase capabilities by utilizing remote infrastructure instead of local hardware. It provides examples of common cloud computing uses like email, web hosting, apps and storage. The document also describes Platform Lab and how it provides affordable cloud services and infrastructure for testing.
GeoPython - Mapping Data in Jupyter Notebooks with PixieDustMargriet Groenendijk
This document discusses using PixieDust to create data visualizations and maps in Jupyter notebooks. PixieDust allows users to easily create visualizations with a simple display() function call and integrate data from notebooks with cloud services. Features highlighted include the package manager, various visualization options, integration with Scala, custom visualization creation, and embedding apps in notebooks. The document concludes with references for further information.
Cloud Native Demystified: Build Once, Run Anywhere!Codit
This document discusses building cloud native applications that can run anywhere. It defines cloud native as using containers, microservices, and DevOps processes. It outlines common cloud native scenarios and Microsoft's contributions to open source projects like Kubernetes. It discusses how containers allow applications to run on platforms like Azure PaaS, Kubernetes, and self-hosted clusters. The document demonstrates deploying containerized applications to these platforms and managing clusters with Azure Arc. It advises starting simply and growing complexity as needed, using Kubernetes for its portability benefits but otherwise preferring simpler platforms when possible.
How Google Cloud is Changing Business in the FutureNirvana Canada
Demand for cloud-based services has grown exponentially over the last couple of years. The market is seeing double-digit growth in areas such as SaaS (software as a service), PaaS (platform as a service), and IaaS (infrastructure as a service) as organizations look to trim budgets and boost business efficiency.
Google Cloud Platform is a suite of cloud computing services offered by Google that provides modular services like computing, storage, data analytics and machine learning. It uses the same infrastructure as Google's consumer products. GCP is a public cloud that offers computing resources for tasks like data management, web/video delivery and AI/machine learning tools. Some key components of GCP include Compute, Storage, Databases, Networking, Operations, Developer Tools and Data Analytics. GCP also offers a free tier for limited access to select services and resources.
This document provides a summary of a presentation given to Prof. Tejonidhi M.R on Google Cloud Platform by five students. The presentation covered an overview of GCP including its services for infrastructure, platform and serverless computing. It also discussed pricing, live migration capabilities, performance, big data offerings, productivity, security and scalability benefits of GCP compared to other cloud providers. The methodology section outlined how to create a virtual network, database, virtual machines and connect the VM to the database on GCP.
Cloud computing allows users to access applications and files from any internet-connected device by storing data and running programs on remote servers rather than local hardware. This centralized storage and processing provides more efficient computing and allows users to access software from any location without needing to install programs. Popular cloud services include email programs like Gmail, file sharing services, and platforms for building and hosting websites and applications.
This deck is prepared as result of secondary research on Cloud computing market. There is short analysis on Google cloud in it's industry and its advantage over its closest rival Microsoft Azure.
How google cloud platform can benefit devops?VishnuAnji
The VisualPath Best Google Cloud Platform Training In Hyderabad is designed to enhance your skills. We have experienced trainers. Get Real-time exposure to technology. If you want to become an expert in GCP then Register Now@9989971070.
Google Cloud Data Platform - Why Google for Data Analysis?Andreas Raible
Introduction to our Data Platform from capture, processing, analysis and exploration.
The Google Cloud Platform products are based on our internal systems which are powering Google AdWords, Search, YouTube and our leading research in the field of real-time data analysis.
You can get access ($300 for 60 days) to our free trial through google.com/cloud
Cloud computing provides on-demand access to computing resources and applications from the cloud. It offers advantages over traditional on-premises computing like scalability, reliability, security and cost savings. Google Cloud Platform is a leading cloud computing platform that offers infrastructure, platform and software services to power applications and websites. It provides scalability, reliability, security and cost-effectiveness. Popular use cases for GCP include web hosting, data storage, analytics, machine learning and artificial intelligence.
Google Cloud Platforms: A Comprehensive Overview and LatestShivamShakya32
Google Cloud Platforms is a captivating documentary that invites you to unlock the potential of Google Cloud and discover the limitless possibilities it offers for businesses, developers, and individuals alike.
Google Cloud Platforms: A Comprehensive Overview and LatestShivamShakya32
Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google that allows businesses to build, deploy, and scale applications effectively. GCP offers auto-scaling capabilities and a global infrastructure to provide scalable, secure, and cost-effective cloud solutions. Additionally, GCP's Anthos platform enables businesses to seamlessly build, deploy, and manage applications across multiple cloud environments.
Cloud computing has become a vital component for businesses seeking scalability, flexibility, and innovation. Among the leading cloud providers, Google Cloud Platform (GCP) stands out as a robust and feature-rich solution.
1. Google Cloud Platform Load BalancingIntroductionGoog.docxblondellchancy
1. Google Cloud Platform Load Balancing
Introduction:
Google Cloud Platform Load Balancing enables you to disseminate load-adjusted process assets in single or different locales, to meet your high accessibility prerequisites, to put your assets behind a solitary anycast IP and to scale your assets up or down with keen Autoscaling. Cloud Load Balancing is completely incorporated with Cloud CDN for ideal substance conveyance.
Utilizing Cloud Load Balancing, you can serve content as close as conceivable to your clients, on a framework that can react to more than 1 million questions for each second. Cloud Load Balancing is a completely dispersed, programming characterized, oversaw administration. It isn't occasion or gadget based, so you don't have to deal with a physical burden adjusting foundation.
Types of Cloud Load Balancing:
External load balancing:
Use external load balancing when you need to distribute traffic from the Internet to a GCP network. GCP external load balancing offers the following:
· HTTP or HTTPS traffic: global HTTP(S) Load Balancing
· TCP traffic with SSL offload: global SSL Proxy Load Balancing
· TCP traffic without SSL offload: global TCP Proxy Load Balancing
· UDP traffic: regional Network TCP/UDP Load Balancing
· IPv4 or IPv6 clients
· Global or regional load balancing
Global load balancing requires that you use the Premium Tier.
Internal load balancing:
Use internal load balancing when you need to distribute traffic to instances within a GCP network. GCP Internal TCP/UDP Load Balancing offers the following:
· TCP or UDP traffic
· RFC 1918 load balancing
· Client IP address is preserved
· Health checks
· Autoscaling without prewarming
· Session affinity
· Regional load balancing
GCP Internal HTTP(S) Load Balancing (Beta) offers the following:
· HTTP(S) traffic
· RFC 1918 load balancing
· Health checks
· Autoscaling without prewarming
· Session affinity
· Regional load balancing
2. GCP Security Process:
Introduction:
GCP administrations are intended to convey a more grounded security framework than given by conventional on-premises arrangements. Since Google keeps running on a similar framework made accessible to its clients, associations get similar advantages from these securities.
GCP Security Services:
VPC Service Controls: An instrument that makes and controls a security edge around information put away in API-based administrations like Google Cloud Storage, Big Query, and Bigtable.
Cloud Security Command Center: The device allows clients to view and screen their cloud resources and gives significant security bolster capacities like stockpiling framework filtering, powerlessness identification, and access consents survey.
Access Transparency: Provides clients with a review log of approved regulatory gets to from Google Support and Engineering that tracks action encompassing client information.
Cloud Armor: Cloud Armor is a DDoS and application safeguard administration. It is manufactured .
Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. It offers a wide range of services including computing power, storage, networking, machine learning, and data analytics. GCP allows users to build, deploy, and scale applications and websites on Google's infrastructure. It provides flexibility, scalability, and reliability for businesses of all sizes, from startups to enterprises. Some of the key services offered by GCP include Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, and TensorFlow for machine learning tasks. GCP also provides tools for managing and monitoring applications, as well as security features to protect data and applications in the cloud. Overall, Google Cloud Platform is a comprehensive solution for businesses looking to leverage cloud computing technology for their applications and services.
The document provides recommendations for a big data platform and architecture. It discusses why big data is important, how big data works involving collecting, storing, processing and analyzing data, and then consuming and visualizing insights. It considers whether to use cloud or on-premise solutions. Among cloud providers, it analyzes Google Cloud Platform, AWS, Microsoft Azure and Cloudera Cloud. It ultimately recommends Google Cloud Platform based on tools and support, platform expertise, performance, integration and flexibility. The document then outlines example big data architectures on GCP including a basic data lake workflow, real-time self-reporting dashboard, machine learning integration and data warehouse transition. It also discusses running GCP with existing on-premise systems and understanding
What is Cloud Computing? A Complete GuideAlaina Carter
Cloud computing has become essential for digital transformation. It provides on-demand access to computing resources and helps businesses lower costs and gain flexibility. The major types of cloud include public, private, and hybrid clouds. Common cloud services are SaaS, PaaS, and IaaS. Leading cloud platforms that offer these services are AWS, Azure, and Google Cloud. Migrating applications and workloads to the cloud requires careful planning and strategies like rehosting, refactoring, revising, rebuilding, and replacing to ensure success.
The future of cloud computing is rapidly entering the phygital world. The cloud has turned out to be the foundation of a successful digital enterprise. However, only a few organizations have been able to optimize this powerful tool, and others misunderstood and underutilized this. Here is a complete guide on Cloud Computing. https://www.netsolutions.com/insights/what-is-cloud-computing/
MongoDB World 2016: Lunch & Learn: Google Cloud for the EnterpriseMongoDB
The document summarizes the evolution of cloud computing and Google Cloud Platform's offerings. It discusses how cloud infrastructure has moved from colocated data centers (1st wave) to virtualized infrastructure (2nd wave) to automated services and scalable data (3rd wave). It then provides an overview of Google Cloud Platform's compute, storage, database, analytics and machine learning services and how they make complex data analysis simpler. The document positions Google Cloud Platform as building on Google's expertise in infrastructure and data to provide customers an advantage.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
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).
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.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
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
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
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.
1. Cloud Computing & Google Cloud Platform (GCP)
Someone developed a social media application and hosted it on a server. After some time,
the users increased to a thousand resulting into crash of the system. You may guess what
he would do? Yes! Get a new server with the required configuration to handle more users.
Is this an efficient solution? Of course not. Scaling would be such a headache. Here comes
the solution of Cloud computing.
Ok! Now if we talk about large companies let’s say IBM, they can allocate several compute
facilities for their future needs, i.e., they are self-sufficient in this sector. But what to do
with the systems that are recently not in use? Then they might give them to other
companies on rent for a specific time which will be cheap for these companies and the
source of income for IBM. This is called Timesharing which is the core of the concept of
Cloud.
What is Cloud?
Cloud helps you in spending more time in development rather than managing. Cloud is
divided into three set of tools: Infrastructure as a service, Platform as a service and
Software as a service.
2. Infrastructure as a Service
It is related to the timesharing of hardware (Infrastructure) like Computer and Hard disk.
If you want any desired specification computer, you can just make use of Infrastructure as
a Service. Use it and pay only for what you use.
Platform as a Service
It can be described as providing the scalable infrastructure which means the service
provider will ask the customer to write some code and they will be provided with the
number of compute resources according to the scope of the application. This will provide
the solution with no worries about the scaling of infrastructure.
Software as a Service
These are the services that the user can utilize according to the needs, i.e., no need for
any code or extra hardware. Like, Google drive, Google box, etc.
Google Cloud
Google Cloud is the mixture of GCP and G Suite. Google Cloud Platform (GCP) includes
infrastructure and Platform as a Service whereas G Suite provides Software as a Service.
So, what is GCP? It is a Cloud Computing plartform provided by Google. GCP offers you
the tools for:
Running code
Store data
Data Migration
Networking
Monitoring
IoT
Building API
Security and Administration within the platform
Google provides some tools on free tier and some on cost depending on the use. Its
storage prices average is 21% less than AWS.
GCP in the real world
Ocado is a large online grocery store. They use Google Cloud platform to handle their
online grocery transactions and storing customer and transaction details.
Pizza Hut uses GCP for their data security purpose.
The Bloomberg Terminal provides real-time financial market data for trading and
decision-making to financial market participants. Their customers need transparency,
3. speed, and global access. Google Cloud Translation helps them to share their global
market view as widely as possible.
PayPal uses Google Cloud Platform because it has the fastest network in terms of
throughput, bandwidth, and latency. Its global backbone is also vital for them because
they operate in hundreds of countries around the world.
Being a student, employee or businessman, everyone utilizes the services provided by
Google in any form. If you are deciding to run an online store or you are involved in any
social media application, not just that! Any machine learning model deployment or in
short any project that involves compute resources. You may opt for the services provided
by Google Cloud.
Save your time by spending some money! Invest your time on creating valuable solutions
and products than spending it on managing your projects.