Cloud Computing Training Consultant

In addition to consulting and training services, I’m also committed to providing my customers with the resources they need to keep abreast of the latest developments in cloud computing. Whether you’re looking for expert advice on a specific cloud architecture or need guidance on the best way to secure your data, I’m here to help.
If you’re looking for an experienced cloud consultant and trainer, don’t hesitate to contact me. I believe in creating long-term partnerships with my customers, based on mutual trust, respect and commitment. Together, we’ll work to achieve your organizational goals while guaranteeing maximum savings and optimal performance from your cloud infrastructure. I look forward to hearing from you.My Cloud Computing Trainer content
Cloud Computing in a nutshell
Put simply, cloud computing is the remote delivery of IT services, hosting them in one or more external data centers rather than on dedicated on-site servers. Instead of purchasing and deploying the digital assets they need in-house, organizations can access them remotely via a payasyougo-based cloud service provider.
The concept of Cloud Computing is simple enough, but moving to the cloud can involve many approaches, from relatively simple to highly complex. Here are the three most common approaches (IaaS, PaaS, SaaS) to moving to the cloud…
InfrastructureasaService (IaaS) By automating the building blocks of a world-class infrastructure Organizations at all levels are maximizing their control costs while benefiting from increased scalability and agility. Without the need to deploy, manage and maintain on-premise infrastructure, organizations increase the freedom to innovate. With IaaS, companies rent IT infrastructure (for computing power, storage or even networking) from a cloud service provider, but continue to oversee the management of mission-critical applications as well as their security, databases and operating systems. Platform-as-a-Service (PaaS) With PaaS, teams can manage and build, test and deploy their own cloud applications designed to benefit users. The underlying IT infrastructure, such as hardware and middleware, is managed by a trusted cloud provider. Without the need to maintain the infrastructure, in-house IT teams can then focus on the business needs of data and applications, helping them to concentrate on continued business growth. SoftwareasaService (SaaS) With the SaaS model, the software platform is hosted externally in the cloud. Users can access the software over the Internet via a subscription. Organizations are then freed from the need to purchase, install and update key software platforms, while ensuring that their key tools are accessible to teams around the world. With SaaS, users need only worry about managing their own data within an application, with the software managed in the cloud by an external provider.Cloud Computing training content
Definition and origin of cloud computing. Application Service Provider (ASP). From Software as a Service (SaaS) to the history of cloud computing. Positioning SaaS and cloud computing. The relationship between virtualization and cloud computing. The relationship between SOA architecture and cloud computing.
Logiciels et modèles de cloud computing. SaaS et cloud computing, à quels besoins peuvent-ils répondre ? Basé sur la virtualisation. Ajuster les coûts et les besoins. Ce à quoi les utilisateurs peuvent s’attendre demain. Avantages du cloud computing : externalisation des ressources, allocation dynamique, isolation logique… Inconvénients du cloud computing : sécurité, législation… Consommation informatique en nuage.Solutions de cloud computing de pointe et cas d’utilisation
SaaS offers. Public, private, hybrid and community cloud computing. Leading cloud providers.
Service solutions (SalesForce and Service Cloud…). Storage solutions (Dropbox, iCloud, etc.). Collaborative solutions (Office Web Apps, Google Apps…). Other solutions… Cloud computing usage scenarios. The impact of SaaS and cloud computing on green IT. Scenarios presented from a technical point of view (IaaS, PaaS). Scenarios presented from a usage perspective (automation, mobility, web integration, etc.).The level of security that needs to be put in place. Key issues and concerns.
Legal, practical and technical aspects of data protection. Selecting and contracting suppliers. End-to-end security. Password policy. Backup strategy. Authorization of authorization? Backup management. International cloud security standards and references.The possible targets depend on the context. For major accounts? SMES? Start-ups?
Outsource non-critical, strategic IT. Outsourcing risk. What are the criteria for making a decision? Measure and compare costs. Reversibility: what strategy? How to overcome reluctance? Managing SaaS and cloud computing projects. Impact on governance. Organizational impact. Integration with existing systems. Criteria for selecting building blocks to outsource. Supporting change. The CIO’s position in relation to the business unit.Legislative and regulatory aspects.
Main fear. Objective reasons. Technical aspects: Communication between IS and cloud/SaaS solutions. Manage internal and external accounts and access. Select a billing method.IS and SOA architecture. Develop to include IS graphics for SaaS and cloud.
Cloud application architecture models. Integration between IS and SaaS solutions. Integration issues between IS and cloud. Integration issues between cloud bricks. Migrate IS blocks to the cloud. Manage network dependencies.Definition of private cloud computing.
Differences with data centers and grid computing. Virtualization fundamentals and key technologies. Open source tools. Proprietary technology. The large family of private clouds. What’s involved in setting up a truly private cloud? Converged IT infrastructure. Why does a private cloud only make sense in a hybrid model? What are the challenges of implementing a hybrid solution? What hybrid cloud solutions are available today? Cloud or VDC? Cloud technology solutions. Cloud databases. The emergence of NoSQL and RDBMS databases. RDBMS and NoSQL database fundamentals. RDBMS possibilities and limitations. Main NoSQL databases for the cloud (MongoDB Cassandra, CouchDB, Hadoop). IaaS marketplace platforms (Amazon EC2 and S3). PaaS marketplace platforms (Amazon SQS, SimpleDB, etc.). RunMyProcess.com, Cordy’s, Facebook, Twitter…Back and forth content





My Cloud Computing Trainer FAQ
Cloud computing is a model for enabling ubiquitous, convenient and on-demand network access to a shared pool of configurable computing resources (e.g. networks, servers, storage, applications and services). This cloud computing model consists of five key features, three service models and four deployment models. Features : At the heart of cloud computing are the five essential characteristics that define the model: On-demand self-service: a consumer can unilaterally provide computing capabilities, such as server time and network storage, according to his or her needs and automatically, without requiring human interaction with each service provider.
Cloud computing is a type of IT service that provides IT infrastructure as a shared resource. This IT infrastructure is made available on demand over the Internet, and can be used by anyone in the world. Companies use cloud computing to store data, run computers and broadcast video. The main advantage of cloud computing is that it provides convenient, scalable resources for businesses. However, some people believe that cloud computing is insecure and can present a security risk. One of the ways in which cloud computing makes data more secure is by providing businesses with affordable computing resources. Computers are now faster and more powerful than ever. However, computers come with a limited amount of RAM and CPU power. Businesses have to choose what computing power they need, and what they can afford. Cloud computing offers businesses the opportunity to access more CPU power than they could buy on their own. This makes it easy for companies to meet their performance needs within budget. Another way in which cloud computing makes data more secure is by providing users with access to a global database of information. Computers can now connect to the Internet anywhere in the world. This means that computers can instantly access all the information they need, without having to physically go to that location. For example, users can access medical records from anywhere in the world at any time. Doctors can also easily share their medical knowledge when using this technology. This enables companies to quickly connect with their customers wherever they are in the world.The cloud computing model offers a number of advantages over traditional, on-premise computing models. These include: Scalability and flexibility: The ability to quickly and easily scale up or down capacity as demand changes, without incurring the costs and complexity of managing physical infrastructure.
By moving to the cloud, companies can access information from anywhere, at any time. This means that employees always have up-to-date information at their fingertips. It also saves time and money, as employees can perform tasks remotely. Companies also benefit from increased data security thanks to the use of the cloud. Employees only need a password to access sensitive information from the cloud. This ensures that all data is protected, which is very important in today’s world. With cloud computing, companies can manage their data more efficiently. Employees can access their files from anywhere using a computer or mobile device. As a result, companies can easily analyze data and make decisions without having to invest in local IT systems. This frees up IT resources that were previously allocated to unnecessary storage requirements. What’s more, employees can now work from home or elsewhere without the need for additional equipment. This is great news for businesses, as they no longer have to pay for equipment they no longer need. Moving to the cloud frees up IT systems so that employees can concentrate on other tasks. For example, some employees can now have time to devote to marketing and customer service activities instead of data management tasks. This boosts morale, as employees can now do more enjoyable things during their breaks. What’s more, it also facilitates data analysis, as employees can now access more information than before, when they had limited access to data confidentiality and security issues.While cloud computing certainly offers many advantages, it’s important to consider the costs too. When calculating the true cost of cloud computing, you need to take into account factors such as : Initial investment: The cost of migrating your data and applications to the cloud. Operational costs: The cost of running your applications in the cloud, including storage, bandwidth and computing resources. Security costs: The cost of securing your data in the cloud, including data loss prevention, identity and access management, and security monitoring. Compliance costs: The cost of ensuring that your applications comply with all applicable compliance regulations. Exit costs: The cost of migrating your data and applications.
Although cloud computing is more economical than traditional methods of providing IT services, it is also much more expensive than some people think. For example, while many companies believe that cloud computing is cheaper than traditional methods of service delivery, it is actually more expensive in some cases. Indeed, some providers charge according to the capacity used by the user, rather than a monthly fee. What’s more, some providers may only give access to part of their data center capacity, as this reduces costs for both them and the user. In these cases, the user must pay per capacity used, or receive a discount based on the capacity they have used compared to their peers. So, while cloud computing can be economical for some companies, it can also be very costly if not properly planned by management. Moving to cloud computing also requires a substantial initial investment, as companies have to pay upfront for new servers and other equipment to derive any benefit from it.To offset this initial investment, many companies have set up a dedicated working capital fund to pay for upgrades and maintenance over time. This allows them to gradually pay for upgrades through regular payments from customers or investors, rather than through up-front fees from the supplier.Despite the many benefits of cloud computing, there are also a number of potential risks. These risks include: Security and confidentiality: the shared nature of the cloud means that data and applications are more vulnerable to security threats. In addition, the increased use of cloud services can lead to a loss of confidentiality for users. Reliability and availability: The cloud is inherently less reliable than on-premises computing, due to the possibility of network outages and interruptions. In addition, users may not have access to data or applications when they need them if the cloud service provider suffers an outage.
Cloud computing can be expensive for some users if they have to pay a monthly subscription. This could make it less desirable for some users, making it less useful for others. In addition, it could make it less likely for businesses to use cloud computing, as they may not have enough money to pay for the service. Businesses need to be willing to pay for the convenience of using the cloud in order to use it. If companies only offer free trials and customers have to upgrade to continue using the service, this could be an effective way of making money. However, companies need to be prepared to lose customers if they don’t have sufficient funds for the monthly subscription fees. Data can be more exposed when stored in the cloud. For example, employees may have access to sensitive data when they shouldn’t, due to violations of company policy. What’s more, hackers can target private data in the cloud and steal information without repercussions. These are just two reasons why sensitive data in the cloud could be exposed. Companies need to take steps to protect their data when using cloud computing. They need to define clear policies on how employees handle data, and train employees on these policies so they know how to manage data properly.