1. Cloud Computing Training
2. Uses of Cloud computing
3. Types of Cloud Computing
4. Course Details
Cloud Computing Training
Cloud computing is one of the technology which is in the delivery of computing services through servers, storages, databases, networking, software, analytics, intelligence and more. There are various benefits of cloud computing they are as follows:
1. Cost: Cloud computing eliminates all the capital expenses running on datacenters and the racks of servers. And round the clock in order to manage it and cooling it.
2. Speed: Most of the cloud cedgeomputing services resources can be procured in minutes. So even vast amount of computing resources
3. Global Scale: On global scale benefits of cloud computing services includes elasticity, computing power, storage and bandwidth. Right when it is needed from the right geographic location.
4. Productivity: Basically all the IT Teams spend lot of time in achieving all important business goals. The productivity increases as there is lot of racking or sacking is done in order to establish more hardware setup, software patching, and other time consuming IT management chores.
5. Performance: The biggest cloud computing services run on a worldwide network of latest generation of fast and efficient computing hardware. This offers several benefits over a single data center. This increases the performance and greater transparency in services offered.
6. Security: Many cloud computing technologies controls and strengthen your security of overall data from potential threats. It also helps to maintain and protect your data and apps from malfunctioning.
Uses of Cloud computing
1. Create new apps and services:
2. Test and build applications
3. Store backup and recover data
4. Analyze Data
5. Deliver Software on Demand
There are different types of Cloud Computing
1. Public Cloud: Public cloud is owned by third party an owner which delivers there computing servers and storages over the internet. You access these accounts using a web-browser.
2. Private Cloud: A private cloud refers to cloud computing resources which are being used by single business or Organization.
3. Hybrid Cloud: Hybrid cloud combines public and private cloud which is bound together by the technology. Hybrid cloud gives your business greater flexibility.
The intelligent cloud is ubiquitous computing, enabled by the public cloud and artificial intelligence (AI) technology, for every type of intelligent application and system you can envision. The intelligent edge is a continually expanding set of connected systems and devices that gather and analyze data—close to the users, the data or both. Users get real-time insights and experiences, delivered by highly responsive and contextually aware apps.
4. Combine the virtually limitless computing power of the cloud with intelligent and perceptive devices at the edge of your network to create a framework for building immersive and impactful business solutions.
Therefore it is said that the future of cloud computing is great provided that the person should take cloud computing certifications and frame a good career growth. Initially these are some of the factors which give good response as well as positive growth in career for longer period of time. Before the advent of cloud computing, business organizations and government agencies spent big bucks to set up information technology departments to manage their data and even paid more to update those IT systems. Today, thanks to technological advancements, firms can have their big data hosted on servers that are off-site or pay for their hourly power requirements and storage space to cloud computing service providers. Hence at large we can say that there are enormous benefits of cloud computing, at present we can say that this will smooth line the project system in organizations and benefit it in long run. Below is smart chart provided by IBM Cloud model which is a business process as a service.
Cloud Computing Training Course Content
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1. Cloud Computing definition and characteristics (elasticity, multi-tenant, on-demand, ubiquitous access, usage metering, self-service, sla-monitoring, etc.)
2. Cloud Computing and SOA
3. Enterprise Cloud drivers and adoption trends
4. Typical Cloud Enterprise workloads
5. Cloud service models/types (public, private, hybrid, and community clouds)
6. Cloud deployment models (IaaS, PaaS, SaaS, BPaas)
7. Cloud ROI models
8. Cloud reference architectures
8. Cloud standards (OSDIAPIs, etc.)
8. Technology providers vs. Cloud providers vs. Cloud vendors
8. Planning Cloud transformations (suitability assessment, future state definition, financial assessment and platform selection, roadmap definition)
1. Evolution of infrastructure migration approaches (virtualization-VMWare/Xen/KVM virtualization, adaptive virtualization, Cloud Computing and on-demand resource provisioning)
2. Cloud Infrastructure services (storage, compute, services management, cloud brokers, etc.)
3. IaaS vendor solutions: Amazon EC2, HP, Microsoft, Savvis, Terremark, Right Scale, Rackspace cloud, IBM, Oracle, Verizon
4. IaaS mainstream offerings (assessment offerings, design offerings, build offerings, integrated operations and management offerings, governance offerings)
5. IaaS project: Ongoing programming project (Part I) – Configuration and programming on a combination of public/private provider platforms (e.g., Amazon EC2/Amazon AWS, IBM SmartCloud Enterprise, Windows Azure, Oracle Public Cloud, etc.) to support the overall course project application.
1. Evolution of computing paradigms and related components (distributed computing, utility computing, Cloud computing, grid computing, etc.) e.g., Spring vs. VMWare vFabric, gemstone vs. VMWare Gemfire, WMWare Hyperic/TC Server/RabbitMQ
2. Cloud platform services (monitoring and management, application servers, messaging, data management, development and testing, integration, business intelligence, etc.)
3. PaaS vendor solutions: EMC, Google App Engine, HP, IBM, Microsoft Azure, Rackspace, Savvis, Verizon, force.com, VMware vFabric, OpenStack, Eucalyptus, Storage-as-a-Service platforms (Google Storage, ObjectStore S3, Amazon Dynamo, etc.)
4. PaaS mainstream offerings: build/extend/migrate/manage Enterprise applications on top of Microsoft Azure, plan/develop/manage Enterprise applications using AWS transformation services
5. PaaS project: Ongoing programming project (Part II – Builds on Part I) – Leverage various PaaS vendor platform capabilities to configure and extent pre-packaged software platforms for the course project application.
1. Overview of the Cloud application development lifecycle
2. SaaS platform services (application development, application migration, SaaS implementation, business intelligence - Cloud-based/big data/real time analytics)
3. SaaS vendor horizontal solutions: ADP, Cisco, SalesForce.com, Microsoft Online Services, SAP, Oracle OnDemand, Tibco, Cordys, Google, Zoho, Taleo, NetSuite, SuccessFactors, Eloqua, Workdays
4. SaaS vendor vertical solutions: SmartStream, Callidus Software, TriZetto, Fineos, Misys, Merced System, Inc.
5. SaaS mainstream offerings: SaaS Enablement (ISV & product-based), vendor-based SaaS offerings (SFDC, Cordys, Oracle), SaaS solution development, SaaS migration, Cloud application usage optimization
6. SaaS project: Ongoing programming project (Part III – Builds on Part II) – Leverage various SaaS frameworks to configure / create / extend SaaS components for the course project application).
1. Overview of BPM on the Cloud (i.e., BPaaS vs. managed business services and BPO) and BpaaS sample solutions (e.g., accounts payable, media planning, order management, clinical data management, MRO process, sentiment analysis, production management)
2. BPaaS platform services (process modeler, rules engine, process portal, BAM reporting, process administration, process integration, process collaboration, PaaS management, Cloud manager, process workbench, collaboration tools, application builder, etc.)
3. BPaaS vendor solutions: IBM, Dell
4. BPaaS mainstream offerings: business and technical services design and development
5. BPaaS project: Ongoing programming project (Part IV – Builds on Part III) - Leverage BPaaS frameworks to configure / create / extend BPaaS components for the course project application.
1. Cloud security challenges
2. Cloud security approaches: encryption, tokenization/obfuscation, cloud security alliance standards, cloud security models and related patterns
3. Cloud security in mainstream vendor solutions
4. Mainstream Cloud security offerings: security assessment, secure Cloud architecture design
5. Cloud security project: Ongoing programming project (Part V – Builds on Part IV) - Design a secure Cloud architecture to support the deployment of a secure version of the course project application.
1. Overview of High Performance Computing (HPC) on Cloud
2. Enterprises HPC applications (high-performance grid computing, high-performance big data computing/analytics, high performance reasoning)
3. HPC Cloud vendor solutions: compute grids (Windows HPC, Hadoop, Platform Symphony, Gridgain), data grids (Oracle coherence, IBM Object grid, Cassendra, Hbase, Memcached, HPC hardware (GPGPU, SSD, Infiniband, Non blocking switches)
4. HPC on Cloud mainstream offerings: reengineering of HPC applications to leverage HPC on Cloud, Hadoop performance tuning, etc.
5. HPC projects 6 & 7: Ongoing programming projects (Part VI and VII – Build on Part V) – Design and develop high-performance application components for the course project application.
||6+ Years of Experience in the field
||Beginner to Advanced
|Number of Lectures
||Will be provided
|Mode of Training
||Corporate and Online
||Entry level to Advanced