All the talk in the technology world is regarding the cloud and what it can do. Cloud computing has revolutionized the IT world and everything involved in it. The cloud icon is a small cloud-shaped symbol representing an abstract of a rather complex infrastructure that utilizes software, hardware, computation, and remote services. Cloud computing has been around for decades, and currently, 69% of businesses are already using the cloud. The cloud is very beneficial to everyone, as there are many benefits. Here are four benefits of using cloud computing.
Looking at cloud services, the first thing you look at is the price tag. When considering switching to cloud services, you have to weigh in more than just the price and consider the ROI. Most of the cloud systems offer pay as you go, which allows you to customize the options you want, and you are not left to pay for services that you do not use. The pay as you go is also used for the data storage space, and you can get the amount of space you need. The cloud has many advantages over the few disadvantages that are offered.
Cloud computing services are defined by three categories: IaaS-The rental of IT infrastructure includes servers, virtual machines, networks, operating systems, and data storage from a cloud provider on a pay as you go basis.
PaaS– This includes cloud computing services that provide an on-demand environment that developers can utilize to develop, test, deliver, and manage software applications.
SaaS– cloud computing that provides a way to deliver software applications over the internet on-demand. Usually, these cloud services are on a subscription basis. The cloud provider hosts and manages the software application and the underlying infrastructure, including maintenance, upgrades, and software patches. Users connect to the application over the internet using a browser.
Cloud Computing Deployments
Cloud computing can be deployed in different ways. It is crucial to understand how the other deployments work to choose the right type or combination of cloud deployments that best fit your organizational needs.
A cloud owned and operated by a third-party provider. Computing resources, including servers and storage, are delivered over the internet. All of the system components, such as hardware, software, and any other supporting infrastructure, are owned and managed by the third-party cloud provider.
Cloud resources that a single business or organization uses exclusively. The cloud can be physically located on a company’s on-site data center or hosted by a third-party provider. The services and infrastructure would be maintained on a private network.
A hybrid cloud combines public and private clouds. The clouds are bound together by technology that allows data and applications to be shared. A hybrid cloud usually involves a firewall to enhance data and applications’ security and applications moving between the two clouds. For many businesses, this is the best choice because the private cloud better protects sensitive data, and it offers greater flexibility and more deployment options.
Cloud computing is a metaphor for the Internet, mostly represented by a cloud symbol used to portray the Internet on diagrams. The cloud is a virtual space that connects users worldwide to share or store information. The way that you transmit or store information is by satellite networks.
Sharing and Storing Data
Cloud computing is the reference to sharing resources, software, and information via the Internet. The data is then stored on actual servers maintained and controlled by the cloud-computing provider of your choice. You can then access the information from the cloud anywhere using the Internet. A few benefits of using the cloud include that you do not have to store any data on your hard drive but instead have access from any location to download the information on any device, including laptops, tablets, or smartphones. This also allows you to edit documents such as PowerPoint presentations or word documents simultaneously with other users. This makes it easier to work out of the office.
Cloud computing has several advantages that include worldwide access, more storage, easy set-up, automated updates, and reduced costs.
Worldwide access allows you to access any of your documents from any device anywhere in the world. This means that employees can work from home or on business trips in the business world and not have to carry any documents. It helps to increase productivity and have faster exchanges of information. It also allows employees to be working on the same document without being in the same place.
Memory has always been an issue in the past, as there was not enough space on devices, meaning you had to get a USB drive to backup your current device. Using the cloud means having increased storage, and you won’t have to worry about running out of space.
The cloud can be set up in a matter of minutes. It is done by choosing a password, or selecting which devices you want to connect to the Internet, or adjusting your settings. Once that is done, you can start using the resources, software, or information in question.
Updates with the cloud are something you no longer have to worry about. The cloud-computing provider would be responsible for making sure that the updates are available and that you have to download them. They will notify you that the update is ready for you to download, saving you time, and you won’t need an expert to help update your device.
Cloud computing is very inexpensive because the software is already installed online. Several free cloud computing applications are available online. It is also affordable to increase storage size and memory. Anything you purchase is charged either monthly or yearly, and you can have a plan that does not have a contract so that services can be terminated at any time.
Cloud computing is where the future is headed and is something that can benefit everyone, from students to businesses. There are several advantages to cloud computing, and it is proving to be worth the investment. If you need to see if cloud computing is for you, give a call here at Alto9, and we will be more then happy to assist you in all your needs.
The Cloud remains very popular with businesses and investors alike, but all other technology business needs to drive innovation and change cloud computing. Where exactly is Cloud computing headed? Well, it is morphing into edge computing. You can think of edge-computing as the anti-cloud. It is still here to stay and grow because next-generation applications will focus on a machine to machine interactions rather than devices to human interactions. The Internet of things or IoT, artificial intelligence, and machine learning all require the gathering and processing massive amounts of data. That data is not generated in the cloud-it is generated at the edge. The challenge for Cloud comes down to a fundamental law of nature- the speed of light. The rate of light is defined as when it takes a signal to travel from point A to point B. This is a fixed speed. It takes the same amount of time today as it did a hundred years ago.
In computing, we define the term latency as the period it takes for a specific action. Latency is usually a more critical speed factor than bandwidth. When it comes to an IoT action, time is not taken up by the processing of the data, but by the time it takes for the data to travel to and from the cloud-or latency. There is only one way to reduce the transaction time or latency, and that is to place the transaction engine closer to the actual device. Edge computing establishes local mini-datacenters similar to the way a wireless operator places individual cell towers. With edge computing, the transaction between an end sensor and the primary system occurs at the local level improving transactional performance by a minimum factor of 10. Data is still forwarded to the Cloud for aggregation, but time is no longer as critical since it is already completed.
Edge computing is becoming more and more necessary because as machine automation and sensors increase, they will be feeding off each other’s data. The sharing of that data will need to happen too quickly. Take a case such as two driverless cars. To avoid a collision, the vehicles will need data on speed and location, and that data needs to share fast. There isn’t enough time to send it up to the Cloud and get the required data back in time. Coordination of this type of data sharing across classes of devices and machines will be localized. Consequently, the best performance improvements will occur by reducing transaction latency or transaction time.
Our current Cloud-based systems cannot deliver ultra-low latency because the speed of light is a physical limitation. In a localized transaction, the latency or transaction time might fall in a range of one to ten milliseconds. In contrast, a cloud transaction would have a transaction time of one hundred milliseconds or more. For a machine to human interactions, the difference would not even be detectable, but with a machine to machine transaction, that difference is like waiting for an eternity. The only way to achieve that ultra-low latency is to add data storage systems and mini-data centers at the edge. Edge-clouds will form the basis for a whole new generation of machine to machine interactions that will enable an entirely new set of capabilities.
Like the mainframes and PCs that have come before, cloud computing will have its place in technology. Edge computing is not evolving to replace cloud computing but enables the next level or wave of computing.
Whether you are planning time with friends and family, having some time, or even working this holiday, here are some fun facts to take with you:
- Labor Day was initially celebrated on a Tuesday. The Central Labor Union planned the first celebration holiday in New York City on Tuesday, September 5, 1882. This was a parade to show support for all the unions.
- There are a lot of people that often wonder why there is no white after labor day. Though it is not as much of a Fashion faux pax anymore to wear white after the holiday, it was in the 19th century. The driving thought behind wearing white is relaxing during the summertime, not to be worn when returning to school.
- It marks the end of hot Dog Season. Peak Hot Dog Season is considered between Memorial day and Labor Day. During this time, it is estimated that Americans will eat 7 billion of them!
- The largest union today is the National Education Association. Including inactive and lifetime members, they have roughly 3 million members.
- In 1887, Oregon was the first state to celebrate Labor Day as a legal holiday.
- The decision to make Labor Day the first Monday of September was approved on June 28, 1894.
- Americans worked 12-hour days seven days a week during the 19th century. Thankfully, The Adamson Act was passed on September 3, 1916, to establish an eight-hour workday.
- In 1894, President Grover Cleveland and the US Congress made it a national holiday.
- Labor Day is celebrated on a different day in most countries. Many choose May Day, which is on May 1, as their day to honor working people.
- There is controversy about who proposed Labor Day as a holiday. Some say it was Peter J. McGuire, the co-founder of the American Federation of Labor. Others believe that it was Matthew Maguire, a member of the International Association of Machinists.
The cloud community is focused on serverless computing or function as a service. Although this technology does not entirely do away with servers, this technology does make it more cost-effective, more comfortable to deploy and manage complicated applications, reduce overall cloud costs, and boosts flexibility.
Cloud providers have monitored the growth in interest in serverless computing and have rolled out their services to support it. AWS was the first to market with lambda and then came along Azure functions and Google cloud functions. All three make serverless technology more accessible to companies of all sizes.
Serverless Computing A help to Enterprises
Enterprises will use serverless computing because it allows developers to focus on application features rather than on provisioning virtual machines. It also simplifies deployment. Many enterprises are using serverless computing for task management, workflows, notifications, and image processing.
Other benefits of using serverless computing models for many enterprises are cost-savings compared to traditional, on-demand instances, flexibility, and reliability. Even though there are benefits to serverless computing, enterprises need to review and analyze workloads to determine if they can benefit from serverless technology.
Evolving Your Cloud Cost Strategy for Serverless Computing
The cost of serverless computing is based on a per-instance charge when you execute an application component. You will not have CPU or VM costs as you do for idle applications in the public cloud. It is essential to beware of the fact that a heavy workload can end up costing you more than you planned.
Always look and compare provider pricing. Prices are generally based on the number of executed application events, how many resources the events use, and the time they take to run. Identify any additional features such as databases that your serverless application will need because they add to extra costs.
Once you understand provider pricing plans, you should review the applications and workloads that you would like to be on serverless computing. Know how many components they have and how often those components run. In general, serverless computing is most cost-effective for highly variable workloads that are small in size. It is a good idea to test your serverless applications to estimate costs.
Impacts on Your Operations Team
Serverless computing is a technology that will force your operations teams to rethink their processes. Because serverless computing is event-based, it changes cloud cost management and scaling practices. It is no longer possible to climb all serverless apps and individual components on-demand with serverless computing. Your operations team will need to stay on top of new members used to handle load spikes to ensure your core business apps’ performance does not suffer. It will also be essential to provide your operations team with the right tools to manage serverless applications.
Ensuring your Serverless Apps Can Scale
Serverless technology presents particular challenges for scalability, but these can be managed with the appropriate tools. Always follow best practices and maintain control over your deployment because that is the key to achieving scalability. Keep the number of application copies to a minimum and scale back when there is no more demand. It is also important to strictly enforce the parameters when it comes to end-user application copies.
With the number of high profile security breaches that have occurred, analysts agree that cyber-attacks will continue and become even more sophisticated. When it comes to protecting your networks, the size of your company is irrelevant. Hackers target enterprises of all sizes because different information is valuable in different ways. No company or enterprise is immune from cyber attacks, so you need to put stringent security measures in place as quickly as possible. Cloud monitoring is a broad category. It includes cloud and web applications, networks, platforms, infrastructure, application, and microservices. Some cloud tools are specialized to handle a specific security concern, while others are broad-based tools that do it all.
Determining what security tools are right for your enterprise will depend on your needs and your budget. Some companies may choose to rely on out of the box monitoring tools from their cloud provider while others may want to invest in an enterprise-level monitoring solution. Here are several of the top monitoring tools.
If you use AWS, CloudWatch is a tool you should be using. It allows you to monitor application metrics and log files to react quickly to changes in your AWS resources. There is no additional software to install with CloudWatch.
CA Technologies offers a full-stack, enterprise-level monitoring and management solution for companies with public, private, and hybrid clouds. Their tools provide user experience monitoring from your web app to securing and scaling your operations. This product is worth looking into.
Microsoft Cloud Monitoring
If you have a Microsoft stack and run your web apps on Azure, you can use Microsoft’s monitoring tools. Microsoft provides a complete view of your web app’s performance with log analysis, application monitoring, and security alerts. The monitoring tools are built into Azure, so there is no new software to install.
The big plus for New relic is that you can see all of your data from monitoring your web apps, platform, and cloud infrastructure in one dashboard. The single dashboard makes management more comfortable and allows you to make quick decisions so you can respond rapidly and efficiently to changes and make decisions that will improve your business. The APM also monitors the end-user experience on your apps.
This monitoring tool “fetches” data from other integrated devices and pulls it into a user-friendly dashboard. It also provides an APM to monitor user experience on your app, and it gives genuinely brilliant visualizations so you can see precisely how your cloud is performing. This tool’s great thing is that it integrates with hundreds of other products across the cloud ecosystem.
Named as the best network monitoring tool in 2016 and 2017 by PC magazine, LogicMonitor is an enterprise IT solution that helps you monitor the entire stack of infrastructure, apps, and tools.
Dynatrace is a powerful solution to monitor business analytics, application performance, cloud containers, and infrastructure. They work with all significant application frameworks, cloud providers, and microservices, and their pricing is straightforward. This security tool is beneficial to businesses of any size.
Given Gartner’s highest rating in 2017, AppNeta is a SaaS app and network monitoring tool that works across cloud platforms. The performance manager provides insight into resource usage, app delivery, and user experience.
Alto9 is a Cloud solutions firm created to help customers migrate to and make the most of Amazon Web Services. Cloud computing is a rapidly changing paradigm that requires a specialized focus, and our Amazon Certified engineers have the depth of experience and know-how to make sure your Cloud infrastructure runs efficiently, securely, and scales with you as your business grows.
Security has always been a concern for organizations migrating to the cloud. Although cloud security is continuously evolving, all enterprises need to be aware and protect themselves against security threats on-site and in the cloud. Cloud computing transforms how an organization handles data use and storage, shares applications, and manages workloads. Along with introducing many innovations, cloud computing has also been responsible for introducing a whole new spectrum of security challenges and threats.
The exponential increase in public cloud usage means that more data and more highly sensitive data is being exposed to greater risk. The most important thing for a company to understand when they migrate to the cloud is that, ultimately, security is the customer’s responsibility or enterprise utilizing the cloud and not the cloud provider.
It is crucial for your leadership, and IT to keep up with the latest advances in security like the evolution of blockchain and how it is changing cloud security Taking the appropriate steps to be vigilant about security at all levels within and beyond your organization to your cloud providers is necessary as well. You will find information below about the top twelve security threats your organization is likely to face this year and in the future.
Inadequate Access, Identity and Credentialing Management
No system is immune from bad people. No matter how good your security, you need to be on the lookout for bad people posing as legitimate developers, operators, and legitimate users. All it takes is one hacker to infiltrate your system, and they will have the ability to read, modify, and delete your data. The hacker will also have the ability to spy or snoop on data in transit, release malicious software that often appears to have originated from a legitimate source, and issue control and management functions. The key to mitigating this threat is robust identity, access, and credentialing procedures and protocols. This is a security must. Controlling access to data is a fundamental principle for cloud and on-site security.
Insecure Interfaces and APIs
When you migrate to the cloud, you use a set of software user interfaces, UI’s otherwise referred to as API’s to manage and interact with cloud services. Management, provisioning, and monitoring are all functions carried out with these interfaces. Cloud security and the ability to access and use cloud services depend on the safety of the APIs. Every API has to have security built to protect against both malicious and accidental attempts to work around security policies and protocols.
When we talk about system vulnerabilities, we speak about bugs in programs that hackers or attackers can use to infiltrate your system to steal data and take control of your structure, causing service disruptions and more. It would be best to understand the vulnerabilities of the components that comprise your operating system and protect against them because those vulnerabilities put all of your services and data at risk. Cloud multi-tenancy organizations are placed close to one another and given access to share resources and memory. This opens up a whole new plane for attackers to target.
Account hijacking has been a long-standing threat, but the danger is escalated with cloud services. Suppose an attacker gains access to a legitimate user’s credentials. In that case, they can manipulate data, create false information, eavesdrop on corporate activities and transactions, and even redirect customers to fake or illegitimate sites. Account and service instances can quickly become new bases for attack and result in compromising the integrity, availability, and confidentiality of those services.
Data breaches can result from a cyberattack, simple human error, or inadequate security protocols and practices. It can involve confidential information not intended for public release, including personal health information, tax, and financial information, trade secrets. Personal identification information or intellectual property. Data security is consistently ranked as the number one challenge for cloud customers.
A system administrator can access all types of information, including sensitive information, critical systems, and data. If your enterprise has systems that depend solely on your cloud provider for security, your systems and data are exposed to much greater risk. Your organization should have security protocols in place that monitor and control third party access to your plans and data.
Advanced Persistent Threats
These are parasitic cyberattacks. An APT infiltrates a system to get a foothold in a target enterprise’s IT infrastructure to steal data. APTs pursue their dreams over extended periods and can often adapt to the very security measures implemented to defend against them. Once an APT gets a foothold in the infrastructure, it can move laterally through data centers and blend in unnoticed with regular traffic until their objective is met.
Lack of Due Diligence
When creating your business strategy, it is crucial to consider cloud technologies and cloud providers. Take the time to develop a thorough checklist for your due diligence to evaluate both technologies and providers. Do not rush to adopt cloud technologies and choose a provider. If you do not do your due diligence, you will be exposing your organization to several serious risks.
Data can be lost in the cloud for several reasons. It can be by a malicious attack, accidental deletion, or even a physical catastrophe such as an earthquake, tornado, or other act of nature. Data loss can be permanent if you or your provider fail to build in data redundancy and back-up data processes. You should have a robust disaster recovery and business continuity plan.
Denial of Service
Denial of Service attacks is designed to interfere or prevent service users from using or accessing the data and applications. Interference of access is done by forcing a cloud service provider to consume vast amounts of finite system resources that can include processing power, memory, disk space, or network bandwidth to cause a system slowdown resulting in all legitimate service users without access to the services. Ransomware attacks have skyrocketed over the past several years. This is a particularly hideous attack where hijackers can infiltrate your systems and hold them for high dollar ransoms. It is a severe threat that your organization needs to prepare against.
Cloud Service Abuse
Cloud computing models are exposed to malicious attacks through activities, including poorly secured cloud deployments, free cloud service trials, fraudulent account sign-ups using payment instrument fraud. There is always the possibility that an attacker could leverage cloud computing resources to target an organization and its users or another cloud provider. The types of abuse or misuse of cloud resources include distributed denial of service attacks, email spam, and phishing campaigns.
The vulnerability of Shared Technology
Cloud providers can scale to meet your needs by sharing infrastructure, platforms, and applications. Cloud technology “as-a-service” offering is generally offered without changing the off-the-shelf hardware or software. This sometimes results in security weaknesses because the underlying components that comprise the infrastructure that supports cloud services deployment may not have been designed to provide strong isolation properties for multi-customer applications or multi-tenant architecture. This can lead to shared technology vulnerabilities in all delivery models for cloud services.
What do companies that outperform their competition have in common? They can generate a lot of business value from their data. According to an Aberdeen survey, organizations that utilize data lakes outperform their competition by 9% in organically derived revenue growth. Data lakes make it possible for an organization to engage in new types of analytics, including machine learning used with new sources such as data from click-streams, social media, log files, and even devices that are connected to the internet that are stored in the data lake. With new types of analytics, companies can act faster on opportunities for business growth. Data lakes and new types of analytic activities help to attract and retain customers, boost productivity, and provide new insights for making informed decisions.
What Is the Difference Between Data Warehouses and Data lakes
Companies use data warehouses and data lakes for different needs and use cases. Depending on business requirements, most organizations will need a data warehouse and a data lake.
A data warehouse is a database optimized to analyze relational data from various business applications and transactional systems. In this case, the data structure and scheme are defined in advance. This allows for fast SQL queries. Data is first cleaned and then enriched and transformed. This data is generally considered to be the “singular source of truth” for reporting and analysis for users of organizational data.
Data lakes are a bit different because not only does a data lake store relational data from business applications, it also stores unstructured or non-relational data from various sources like social media, mobile apps, and IoT devices. Because the structure and scheme are not defined at the time data is captured, all of your data can be stored without careful design. You don’t even need to know what questions you may need answers to in the future. You can use many different types of analytics on your data, including big data analytics, SQL queries, real-time analytics. Machine learning and full-text search to find new insights from your data.
Organizations are quickly learning the benefits of data lakes, and many with data warehouses are adding or transforming their data warehouse to include data lakes. The real benefit of the data lake is that it provides your organization with the ability to utilize diverse query capabilities, data science use cases, and advanced capabilities to discover new information models.
Data Lake Benefits
In general, data lakes enable you to collect more data from many more sources in a lot less time. It helps you leverage analytics on external data sources. Because a data lake can combine different sources of customer data including information from a CRM application, social media analytics, incident tickets, and buying habits and history data lakes provide much more in-depth insight into who the customer is, what types of rewards or incentives will increase loyalty, what promotions or partners might be most profitable. It helps your organization learn how to attract new customers and retain current customers.
Another benefit of data lakes is that they can assist your research and development teams to test their hypothesis, subtle tune assumptions and assess results to help identify the right materials for a product design that results in faster performance or more effective medications or what attributes a customer might be willing to pay more to get.
One of the most valuable benefits of the data lake is that with more sources of real-time data and the ability to get data from IoT devices, more analytics can be run to increase operational efficiencies, reduce costs and improve quality.
Apart from the many benefits, a data lake provides, they also present a problem. The primary problem of data lakes is that raw data gets stored without any oversight of the contents. For a data lake to make the stored data usable, it needs defined mechanisms to catalog and secure the data. If these elements are missing, data cannot be found or trusted and often results in what is termed a data “swamp.”
Cloud platforms are no longer only about access to inexpensive servers and data storage. In 2018 it was the best way to turn extraordinary ideas into fantastic software quickly. When you stare up at the clouds, most people are immediately struck by how limitless the heavens appear. Cloud platforms built by Amazon, Microsoft, and Google feature vast computing infrastructures that provide higher capacity and efficiency than most companies could dream of creating, so they rent out their ability to other companies like yours. Cloud platforms open up a myriad of storage, tools, and services without building your computing infrastructure, but determining which cloud platform to use for your small business can be daunting. Here are several essential questions to answer that will help you decide which cloud platform is right.
Understanding Cloud Basics
Most cloud providers offer two different types of layers of cloud computing. The first is Infrastructure as a Service, also referred to as “IaaS.” IaaS is the basic service most companies need to set up virtual servers and data storage in a cloud provider’s data center. Platform as a service or “PaaS” offers a platform that provides a suite of tools and services that allows companies or individuals to develop, manage and run applications without building and maintaining the Infrastructure usually needed to launch an app.
Assess Your Cloud Needs
One of the first things you need to do is determine what type of cloud platform you need for your small business. Can you utilize a public cloud, or do you need a private cloud, or can you use a hybrid cloud? For example, if your business deals with a high volume of sensitive or confidential data, you would want a private cloud. In contrast, you could use a public cloud if your company information is not proprietary, and you do not deal with confidential information.
Public clouds are good if all you need to do is access various applications through the internet. Public clouds service multiple clients, and they utilize a shared infrastructure. They work best for doing collaborative work, email, and storing non-sensitive data. The benefits of a public cloud are that you do not need to manage your servers to cut down on IT resources. Another advantage of public clouds is their scalability and flexibility. The downside to a public cloud is that it can be challenging to meet compliance requirements in specific industries such as healthcare and security. Public clouds may also suffer from reliability issues.
Private clouds use proprietary Infrastructure that serves a single client. They work best in situations where your business model is changing rapidly and for companies that require very high security and reliability. Companies that have mission-critical workloads and regulated industries are the best candidates for a private cloud platform.
Hybrid clouds combine a private cloud with public cloud services. As a business owner, it provides the flexibility to shift work between your private cloud and the public cloud as your business demands change. The hybrid cloud platform provides the best of both worlds and offers the ultimate flexibility and scalability to meet any business need.
What software will be in the cloud?
Inventory the software programs that you use. What type of data and software does your company deal with? Is security an issue for any of the data or software programs you utilize?
How many people and devices will be connected?
The higher the number of people in your company, the less secure information will be. You may be able, to begin with, a public cloud, but if your company is expanding in size or expanding into new markets or disciplines, make sure your cloud provider can scale your cloud services to meet your needs.
What’s your budget?
It is essential to know what your budget is when looking for cloud services. There are free public cloud services that may be perfect for your start-up or growing business as long as your company does not deal with sensitive data. Private cloud services are considerably more costly, but it may be necessary to invest in a private cloud if you are part of a regulated industry or dealing with highly sensitive information. If your budget is restricted, you may want to consider a hybrid cloud that can scale to your current and future needs.
Alto9 is a Cloud solutions firm created to help customers migrate to, and make the most of Amazon Web Services. Cloud computing is a rapidly changing paradigm that requires a specialized focus. Our Amazon Certified engineers have the depth of experience and know-how to make sure your Cloud infrastructure runs efficiently, securely, and scales with you as your business grows.
Cloud computing is no longer the outlier-it is the norm for most enterprises. As the cloud continues to expand in popularity and use, it is suitable for all to have a common understanding of cloud computing. Cloud computing can be broken down into five core principles. This article will explore all five principles to give you an overview and understanding of what you should know about cloud computing.
Dynamic Computing Infrastructure
Cloud Computing should be built on dynamic computing infrastructure. This infrastructure should be based on a scalable, secure physical infrastructure that is standardized and provides different levels of redundancy and virtualization. When coupled with provisioning automation, virtualization provides consolidation, which creates a high level of utilization and reuse.
IT Service-Centric Approach
An IT Service Centric approach encourages user adoption and business agility by making it easier and faster to perform administrative tasks. This, in turn, makes for greater expediency for business moves and reduces costs and drives revenue. An IT service-centric approach should provide users with easy but secure access to powerful pre-defined computing environments suitable for the execution of their services.
Self-Service Based Usage Model
Self-service based usage models provide the ability to upload, build, deploy, schedule, manage, and report on their business services on demand. Users benefit from self-service by enjoying a level of empowerment and independence that encourages and supports business agility. The IT team benefits from being able to delegate more tasks to users reducing administrative involvement.
Minimally or Self-Managed Platforms
Minimally or self-managed Platforms that are enabled through software automation, allow an enterprise to leverage a provisioning engine for deploying services and tearing them down; mechanisms for scheduling and reserving resource capacity; configuration, management, and reporting support, ensuring adequate resources allocation/reallocation for multiple groups of users; access control policies for resource utilization.
All of these capabilities enable business agility while enacting critical and necessary administrative control. This balance of power and delegation provides and maintains security and uptime while minimizing the level of IT regulatory effort. It also keeps operating expenses low and frees up resources to focus on higher-value projects.
Consumption-based billing ensures that consumers only pay for the resources they use. For an enterprise, the benefit is that they pay only for the support they use, reducing their costs. From a provider’s perspective, it provides the ability to track usage for chargeback and billing purposes.
Support is necessary for all of the above principles. These principles are required to produce a cloud (private or public) that delivers a compelling business value that includes savings on capital equipment, operating costs, support costs, and increased business agility.