Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Amazon Web Services (AWS) is a comprehensive cloud computing platform that provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). AWS offers global compute, storage, database, analytics, application, and deployment services to help organizations increase agility and lower costs. Key advantages of AWS include cost efficiency, reliability with 24/7 access and redundancy, unlimited storage, easy backup and recovery, and easy access to information from anywhere via the internet. AWS training in Bangalore teaches skills like using EC2, S3, load balancers, and VPC to deploy and manage applications in the cloud. With Bangalore's large IT industry and growing demand for AWS
Cloud computing is the on-demand delivery of IT resources and applications via the Internet with pay-as-you-go pricing. It evolved from earlier technologies like grid computing and utility computing by providing greater ease of use and on-demand scaling. A cloud broker acts as an intermediary between cloud service providers and customers, providing a unified interface and moving workloads between public and private clouds for improved performance and redundancy.
This document provides an overview of cloud computing and the top 6 cloud service providers:
1. It defines cloud, cloud computing, and cloud services as computing resources, data storage, and services available over the internet.
2. The top 6 cloud service providers are identified as Amazon Web Services, Microsoft Azure, Google Cloud, Alibaba Cloud, IBM Cloud, and Oracle.
3. Each provider is briefly described, highlighting their service categories including compute, storage, databases, analytics, AI/ML, security, and networking.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It allows users to access applications from anywhere using a web browser. Cloud computing offers advantages like cost savings, speed, security, unlimited storage and access to data from anywhere. While cloud services like AWS have become very popular, cloud computing also presents risks like security vulnerabilities and inconsistent performance on shared infrastructure. The growth of cloud computing is impacting IT jobs by creating new roles while reducing needs for some traditional IT positions.
The document discusses cloud computing and its key features. It covers the three main types of cloud services - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also discusses server virtualization, public and private cloud options, and the business benefits of scalability, disaster recovery, remote access, management efficiencies, and the shift from capital to operational expenditures. The cloud allows companies to access computing resources over the internet in a cost-effective and flexible manner compared to maintaining their own on-premise infrastructure.
The ppt talks about the history of cloud computing, it's examples, types of cloud computing and cloud services, uses and benefits of cloud computing and potential future of cloud computing.
Slides from a talk I gave to Frederick WebTech (https://www.meetup.com/FredWebTech/) that compared the three major cloud providers.
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
Cloud computing and artificial intelligenceFurqan Haider
Hi friends, I have created this simple yet helpful slide about application of AI in cloud computing for a presentation held at my class. i hope it would help those who looking for this topic since Its a rare topic and hardly anyone else ever made ppt about this topic. thanks
Have a nice day :)
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
Cloud computing is the delivery of computing resources like servers, storage, databases, and software over the Internet. There are different types of cloud including public, private, and hybrid clouds. Google Cloud Platform (GCP) provides various computing, storage, networking, security, and other services to users. GCP offers products and services for compute, storage, networking, security, big data, machine learning, and management tools to build solutions in the cloud. Some advantages of GCP include flexible billing, fast scaling, global datacenter network, and petabyte data processing capabilities.
The document discusses Big Data challenges at Dyno including having a multi-terabyte data warehouse with over 100 GB of new raw data daily from 65 online and unlimited offline data sources, facing daily data quality problems, and needing to derive user interests and intentions from user information, behavior, and other data while managing a high performance and cost effective system. It also advertises job openings at Dyno for frontend and backend developers.
The document discusses a project aimed at creating a distributed framework for securely sharing large volumes of heterogeneous information from IoT devices (predicted to reach 26 billion by 2020) to enable smart city applications. The objectives are to: 1) Identify requirements for trust and privacy in smart city use cases; 2) Ensure security in IoT networks and devices; 3) Implement trusted information storage and access controls; and 4) Develop methods for private analytics and information retrieval. Partners in Germany, UK, Portugal, Serbia and Spain will collaborate on use cases involving traffic, energy and transportation data in their cities. A pilot project in Novi Sad aims to provide smart transportation services using bus and traveler location data while focusing on data security and privacy.
Cloud computing provides on-demand access to computing resources like servers, storage, databases, networking, software, analytics and more over the internet. It delivers these resources as a service on a pay-per-use basis. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Popular cloud computing providers include Amazon, Google, and Microsoft who offer public, private and hybrid cloud solutions. Cloud computing enables large scale data analysis and provides computing resources for research communities in a flexible and cost-effective manner.
The document discusses challenges facing today's enterprises such as cutting costs, driving value with tight budgets, maintaining security while increasing access, and finding the right transformative capabilities. It then discusses challenges in building applications related to scaling, availability, and costs. The remainder summarizes Microsoft's Windows Azure cloud computing platform, how it addresses these challenges, example use cases, and pricing models.
The document discusses cloud computing, including definitions, benefits, characteristics, service models, and major cloud providers. It defines cloud computing as storing and accessing data and programs over the Internet instead of a computer's hard drive. The main benefits are pay-per-use pricing, availability, optimization of resources, disaster recovery, agility, and flexibility. Characteristics include on-demand self-service, broad network access, resource pooling, and rapid elasticity. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Major cloud providers are Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Alibaba Cloud,
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
This document discusses NetApp IT's approach to determining whether to move applications to the cloud or keep them on-premises. It begins with conducting a risk assessment and workload profile analysis to understand the business needs and technical requirements. NetApp IT then categorizes applications according to their business criticality and "cloud-aware" capabilities in order to select the most appropriate environment. The organization takes a "Cloud First" strategy, aiming to leverage cloud capabilities while maintaining data ownership and compliance through their private cloud on NetApp storage. Key applications are examples of how this strategy has been applied.
David J. Rosenthal gave a presentation about Microsoft's Azure cloud platform. He discussed how Azure can help companies with digital transformation by engaging customers, empowering employees, and optimizing operations. He provided examples of how companies are using Azure services like AI, IoT, analytics and more to modernize applications, gain insights from data, and improve productivity. Rosenthal emphasized that Azure offers a secure, flexible cloud platform that businesses can use to innovate, grow and transform both today and in the future.
The document provides information about Google Cloud Platform services including App Engine, Compute Engine, Cloud Storage, BigQuery, and Cloud SQL. It discusses the key features of each service, such as scalability, reliability, cost efficiency, and SQL support for Cloud SQL. Pricing models are outlined for various resources like instances, storage, bandwidth, and database tiers. The document aims to help users understand and utilize Google Cloud Platform's infrastructure and managed services.
PowerPoint explaining cloud migration, benefits and risks of cloud migration as well as the legal and financial information associated with cloud migration
The ppt talks about the history of cloud computing, it's examples, types of cloud computing and cloud services, uses and benefits of cloud computing and potential future of cloud computing.
Slides from a talk I gave to Frederick WebTech (https://www.meetup.com/FredWebTech/) that compared the three major cloud providers.
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
Cloud computing and artificial intelligenceFurqan Haider
Hi friends, I have created this simple yet helpful slide about application of AI in cloud computing for a presentation held at my class. i hope it would help those who looking for this topic since Its a rare topic and hardly anyone else ever made ppt about this topic. thanks
Have a nice day :)
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
Cloud computing is the delivery of computing resources like servers, storage, databases, and software over the Internet. There are different types of cloud including public, private, and hybrid clouds. Google Cloud Platform (GCP) provides various computing, storage, networking, security, and other services to users. GCP offers products and services for compute, storage, networking, security, big data, machine learning, and management tools to build solutions in the cloud. Some advantages of GCP include flexible billing, fast scaling, global datacenter network, and petabyte data processing capabilities.
The document discusses Big Data challenges at Dyno including having a multi-terabyte data warehouse with over 100 GB of new raw data daily from 65 online and unlimited offline data sources, facing daily data quality problems, and needing to derive user interests and intentions from user information, behavior, and other data while managing a high performance and cost effective system. It also advertises job openings at Dyno for frontend and backend developers.
The document discusses a project aimed at creating a distributed framework for securely sharing large volumes of heterogeneous information from IoT devices (predicted to reach 26 billion by 2020) to enable smart city applications. The objectives are to: 1) Identify requirements for trust and privacy in smart city use cases; 2) Ensure security in IoT networks and devices; 3) Implement trusted information storage and access controls; and 4) Develop methods for private analytics and information retrieval. Partners in Germany, UK, Portugal, Serbia and Spain will collaborate on use cases involving traffic, energy and transportation data in their cities. A pilot project in Novi Sad aims to provide smart transportation services using bus and traveler location data while focusing on data security and privacy.
Cloud computing provides on-demand access to computing resources like servers, storage, databases, networking, software, analytics and more over the internet. It delivers these resources as a service on a pay-per-use basis. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Popular cloud computing providers include Amazon, Google, and Microsoft who offer public, private and hybrid cloud solutions. Cloud computing enables large scale data analysis and provides computing resources for research communities in a flexible and cost-effective manner.
The document discusses challenges facing today's enterprises such as cutting costs, driving value with tight budgets, maintaining security while increasing access, and finding the right transformative capabilities. It then discusses challenges in building applications related to scaling, availability, and costs. The remainder summarizes Microsoft's Windows Azure cloud computing platform, how it addresses these challenges, example use cases, and pricing models.
The document discusses cloud computing, including definitions, benefits, characteristics, service models, and major cloud providers. It defines cloud computing as storing and accessing data and programs over the Internet instead of a computer's hard drive. The main benefits are pay-per-use pricing, availability, optimization of resources, disaster recovery, agility, and flexibility. Characteristics include on-demand self-service, broad network access, resource pooling, and rapid elasticity. The three main service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Major cloud providers are Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Alibaba Cloud,
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
This document discusses NetApp IT's approach to determining whether to move applications to the cloud or keep them on-premises. It begins with conducting a risk assessment and workload profile analysis to understand the business needs and technical requirements. NetApp IT then categorizes applications according to their business criticality and "cloud-aware" capabilities in order to select the most appropriate environment. The organization takes a "Cloud First" strategy, aiming to leverage cloud capabilities while maintaining data ownership and compliance through their private cloud on NetApp storage. Key applications are examples of how this strategy has been applied.
David J. Rosenthal gave a presentation about Microsoft's Azure cloud platform. He discussed how Azure can help companies with digital transformation by engaging customers, empowering employees, and optimizing operations. He provided examples of how companies are using Azure services like AI, IoT, analytics and more to modernize applications, gain insights from data, and improve productivity. Rosenthal emphasized that Azure offers a secure, flexible cloud platform that businesses can use to innovate, grow and transform both today and in the future.
The document provides information about Google Cloud Platform services including App Engine, Compute Engine, Cloud Storage, BigQuery, and Cloud SQL. It discusses the key features of each service, such as scalability, reliability, cost efficiency, and SQL support for Cloud SQL. Pricing models are outlined for various resources like instances, storage, bandwidth, and database tiers. The document aims to help users understand and utilize Google Cloud Platform's infrastructure and managed services.
PowerPoint explaining cloud migration, benefits and risks of cloud migration as well as the legal and financial information associated with cloud migration
This document contains the answers to two questions about cloud computing providers. For question one, the student lists 15 cloud providers in Asia, Europe and the Middle East. For question two, the student provides details about the top 3 cloud providers - Amazon Web Services, Microsoft Azure, and Google Cloud Platform. They describe the characteristics, benefits, and services offered by each provider.
This document compares Amazon Web Services (AWS) and Microsoft Azure, two major cloud computing platforms. It outlines the core services provided by each, such as compute, storage, databases and networking. Both AWS and Azure provide infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). While the services are organized differently, they essentially cover computing, storage, analytics, application development and identity management. The document also discusses public, private and hybrid cloud models, potential issues with cloud computing, and the pros and cons of cloud services.
IBM acquired SoftLayer in 2013 to enter the IaaS market, and rolled it into their existing PaaS offering Bluemix in 2016 under a new IBM Cloud brand. IBM Cloud provides both IaaS through virtual servers and storage, and PaaS for developing apps using services like AI and databases. It offers public, private, and on-premises deployment models with a focus on security, and supports applications across industries with migration and management tools.
The document discusses and compares several major cloud service providers, including Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, Oracle Cloud Infrastructure, SAP Cloud Platform, and Salesforce Service Cloud. It provides an overview of the services offered by each provider such as compute, storage, databases, machine learning, and describes some of their key features and histories. A table is included that compares AWS, Azure, and GCP across several categories like data management, app development, SMB analytics, and machine learning products.
Cloud computing is a model for enabling ubiquitous, convenient access to a shared pool of configurable computing resources like networks, servers, storage, applications and services that can be rapidly provisioned and released with minimal management effort. It allows users to access applications from anywhere using a web browser while software and data are stored on remote servers. Common types of cloud computing include infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). Major cloud providers include Amazon Web Services, Microsoft Azure, Google Cloud and Dropbox.
In this report, I have reviewed the top five cloud service providers based on their revenue, popularity, and service offerings. As of May 2020, Amazon Web Services leads all the way as a leader in its ability to execute, but Microsoft’s Azure leads as a visionary. Google Cloud Platform is third in the race followed by Alibaba Cloud, and IBM Cloud.
The document summarizes Ankit Kumar's seminar presentation on cloud computing. It begins with an introduction to cloud computing and defines it as internet-based computing using shared resources provided on-demand. It then covers the history and evolution of cloud computing. The main components, architecture, types (public, private, hybrid clouds) and advantages/disadvantages of cloud computing are discussed. Amazon Web Services is provided as an example of a major cloud services provider, with descriptions of specific AWS services like Amazon Aurora, Server Migration Service, and CloudFormation. The document concludes by reiterating the cost savings and accessibility benefits of cloud computing.
Major cloud providers in the world and their products.pptxTaisanTamang
Major cloud providers in the world offer a variety of cloud computing services including infrastructure, platform, software and data services. The top 5 providers are Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Alibaba Cloud, and Oracle Cloud. AWS is the largest provider with 30 regions and 96 availability zones, followed by Microsoft Azure with 60 regions and 116 availability zones. The major cloud providers generate billions in annual revenue from their cloud computing products and services.
10 Best Cloud Computing Service Providers in the World.pdfCIOWomenMagazine
The Information Technology (IT) framework has changed a lot in recent times. It is web-based computing that businesses implement in order to have cloud computing resources such as virtual machines, memory, databases, storage, events, and pay-as-you-go.
Choose our managed infrastructure-as-a-service model helps provide better availability and greater uptime and also reduces the expenses and headaches of a self-managed infrastructure.
https://www.techprofuse.com/cloud-managed-services/
Cloud computing is a model for delivering computing capabilities as services over the network on an as-needed basis. It involves centrally hosted resources that are accessible via the internet. There are various deployment models including public, private, community and hybrid clouds. Resources are delivered through common models of software as a service, platform as a service, and infrastructure as a service. Key attributes include massive infrastructure, utility computing, pay-per-usage, elasticity, and accessibility via the internet.
This document discusses cloud computing, including what it is, why it is used, different types of clouds, cloud architecture, and Amazon Web Services (AWS). Cloud computing provides on-demand access to shared computing resources over the Internet. It allows users to access servers, storage, databases and software from anywhere. There are different types of clouds including private, public, hybrid, and community clouds. AWS is a leading cloud platform that offers over 200 services across computing, storage, databases, and other areas to help customers lower costs, increase agility and innovation.
The top 10 cloud service providers of 2021sanemlan
This article discusses the top 10 cloud service providers in 2021, but before that, let's take a brief look at cloud computing and the attributes and capabilities of different types of cloud services. Also students who want cab301 assessment answers they can approach us.
The document discusses various aspects of cloud computing including:
- Cloud computing provides on-demand access to computing resources that can scale up or down depending on needs.
- It evolved from concepts like virtualization, utility computing, and service-oriented architecture.
- The basic components of cloud computing include clients, services, applications, platforms, storage, and infrastructure.
- Common cloud computing models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
Cloud computing involves providing scalable computing resources and services to multiple external customers over the Internet. It allows users to access software, platforms, and infrastructure remotely through shared servers. There are three main types of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing offers advantages like reduced costs, universal access, automatic updates, and improved performance compared to traditional computing methods. However, it also poses disadvantages such as requiring a constant Internet connection and potential security and data loss issues.
This comprehensive Data Science course is designed to equip learners with the essential skills and knowledge required to analyze, interpret, and visualize complex data. Covering both theoretical concepts and practical applications, the course introduces tools and techniques used in the data science field, such as Python programming, data wrangling, statistical analysis, machine learning, and data visualization.
GenAI for Quant Analytics: survey-analytics.aiInspirient
Pitched at the Greenbook Insight Innovation Competition as apart of IIEX North America 2025 on 30 April 2025 in Washington, D.C.
Join us at survey-analytics.ai!
This project demonstrates the application of machine learning—specifically K-Means Clustering—to segment customers based on behavioral and demographic data. The objective is to identify distinct customer groups to enable targeted marketing strategies and personalized customer engagement.
The presentation walks through:
Data preprocessing and exploratory data analysis (EDA)
Feature scaling and dimensionality reduction
K-Means clustering and silhouette analysis
Insights and business recommendations from each customer segment
This work showcases practical data science skills applied to a real-world business problem, using Python and visualization tools to generate actionable insights for decision-makers.
Decision Trees in Artificial-Intelligence.pdfSaikat Basu
Have you heard of something called 'Decision Tree'? It's a simple concept which you can use in life to make decisions. Believe you me, AI also uses it.
Let's find out how it works in this short presentation. #AI #Decisionmaking #Decisions #Artificialintelligence #Data #Analysis
https://saikatbasu.me
Tijn van der Heijden is a business analyst with Deloitte. He learned about process mining during his studies in a BPM course at Eindhoven University of Technology and became fascinated with the fact that it was possible to get a process model and so much performance information out of automatically logged events of an information system.
Tijn successfully introduced process mining as a new standard to achieve continuous improvement for the Rabobank during his Master project. At his work at Deloitte, Tijn has now successfully been using this framework in client projects.
2. Cloud
Computing
On-demand delivery of IT resources over the
internet
Pay-as-you-go pricing
Organizations of every type, size, and industry
are using the cloud for a wide variety of use
cases
The most well-known cloud service platforms
are Amazon Web Services (AWS), Google
Cloud Platform (GCP) and Microsoft Azure.
3. The three main types of cloud
computing include Infrastructure
as a Service (IaaS), Platform as a
Service (PaaS), and Software as a
Service (SaaS).
Cloud providers are also
categorized by whether they deliver
public cloud, private cloud or hybrid
cloud services.
4. AMAZON WEB SERVICES (AWS)
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud
platform, offering over 200 fully featured services from data centers globally. AWS offers a pay-
as-you-go approach for pricing. Pricing for each service is unique.
GOOGLE CLOUD PLATFORM (GCP)
GCP is a public cloud vendor that offers a suite of computing services to do everything from
data management to delivering web and video over the web to AI and machine learning tools.
Customers are able to access computer resources housed in Google’s data centers around the
world for free or on a pay-per-use basis. Google’s global infrastructure currently has 24
locations around the world where Google Cloud Platform resources are offered.
IBM CLOUD
IBM Cloud is a set of cloud computing services for business offered by the information
technology company IBM. It combines platform as a service (PaaS) with infrastructure as a
service (IaaS). It is deployed across data centers around the world.
7. Container Networking Compute AI/ML Storage
IBM Cloud Service Categories
Scalable,
secure
destination to
back up your
critical data
Accelerate AI
and machine
learning
deployment
On-demand
access, via the
internet, to
computing
resources
Isolate resource,
protect
workloads,
connect privately
and encrypt data
Packages up
code and all its
dependencies
to run apps
quickly
8. Analytics Blockchain Databases
IBM Cloud Service Categories
Build analytical
and operational
views for
decision-making,
and to automate
end-to-end
workflows .
Blockchain is
being used as
a driver for
our cloud
business.
Auto provisioning,
hosting, 24x7
management with
automated high
availability, backup
and restore, version
upgrades, security .
Design, Develop,
Deploy and Test
mainframe
software
applications, Web,
and composite
applications.
Developer
Logging and
Monitoring
Used for
security-
relevant
activities
9. IBM Cloud Service Categories
Migration
Tools
Integration
Internet
of Things
Security Mobile
Aids in the
migration of
infrastructure
applications
and data.
Integration of
processes,
data,
applications
and services
A huge
network that
supports IoT
devices and
applications
Provides a
layer of
protection
around cloud
assets
Uses cloud
computing to
deliver
applications to
mobile devices