DDoS Attack
The collaboration method is a technique of preventing or reducing the impact of a DDoS Attack by connecting many nodes. It mitigates the effect of attack as well as the negative effect on the servers. The multiple nodes that have been connected do not, therefore, get affected by the DDoS attack (Fiazza, Peroli, & Vigano, 2011). The three stages used to mitigate the DDoS attack include using a firewall, blackholing, and pushback.
A non-collaboration method is another technique used to reduce DDoS Attacks. There is no collaboration between the nodes compared to the first method. There is also no interaction between the network resources, security applications, and the interactive nodes (Fiazza et al., 2011).
The third technique involves maintaining a strong network architecture. Some of the areas that a business can consider include building a redundant network resource just in the event a single server is attacked. Servers should also be distributed within an organization. Resources need to be spread out.
Utilizing DDoS-as-a-service is another key technique to reduce DDoS attacks. It provides dedicated server hosting while using third-party and in-house resources (Karami & McCoy, 2013). Security infrastructure has to meet the highest levels of compliance standards and security. The advantage of this prevention technique is that it provides high-level DDoS protection.
Web Companies and the Web Services for Programmers
One famous web services company is the Asynchronous JavaScript and XML. It offers programming Programmes through JavaScript, Plain Old XML, and the HTTP servers (Nixon, 2014). Currently, it has been embraced by the JSON programmers for their W3C Web Services.
REST is another web services provider. REST stands for Representational State Transfer, which entails web services that function at the internet level. For programmers using REST, they intended to manipulate the operation ability of XML (Nixon, 2014). To the programmers, their sole objective is to expose the existing set of operations that are arbitrary from the arbitrary web services.
There are Web Services companies that use markup languages. They include the XML Interface for Network Services used by programmers using a POX-style web service. Others are the JSON-WSP, Web Services Flow Language, Web Services Conversation Language, JSON-RPC, and the Web Template (Eliyahu & Sadika, 2018). The other one that has advanced is the WS-MetadataExchange.
Web API is the fourth Web Services provider that seeks to utilize and capitalize on simpler versions of Representational State Transfer (REST) systems of communications (Eliyahu & Sadika, 2018). There are restful APIs that do not require the use of XML-based Web Services to run their interfaces.
Predictive Analytics and How an IT Manager Use It
Predictive analytics can be defined as a group of statistical methods or techniques used in predictive modeling, machine learning, and data mining. It is a method applied in analyzing historical data for purposes of making predictions, data foresight, and looking into the character of current facts (Waller & Fawcett, 2013). Predictive analytics is important for managers in IT for they can use it in detecting fraud, optimizing marketing campaigns, improving operations, and reducing risks.
In the detection of fraud, predictive analytics supports multiple analyses that can ascertain any criminal behavior or detect unusual behavior. Cybersecurity has become a major concern hence gaining real-time information regarding fraud, phishing, and even DDoS attacks are important (Ohno-Machado, 2017). Detecting fraud therefore in real-time can be achieved with the use of predictive analytics.
Optimization of marketing campaigns can be realized using predictive analytics. This way, it becomes possible to tell customer preferences, customer purchases, and responses. In the end, it leads to benefiting from cross-selling opportunities. With this predictive analysis tool, businesses can retain, attract, sustain, and grow their pool of customers.
IT managers use predictive analytics to improve their operations. They utilize the technology to forecast eventual inventory as well as manage the available resources. The same can be seen in the aviation industry as they use predictive analysis to sell their air tickets (Waller & Fawcett, 2013). This prediction tool is equally applied in hotels that try to determine the maximum number of customers likely to be received. Organizations, businesses, and companies, therefore, improve their performance through this prediction tool.
Reducing risks, threats, and vulnerabilities in organizations can equally be achieved through the use of predictive analytics. It is based on credit scores that look to the item or product that one is likely to buy (Ohno-Machado, 2017). Default purchases are categorized amongst those put under the predictive tools. They are based on one’s credit score and creditworthiness.
IT Governance Considerations before Migrating to the Cloud
Information Technology governance (IT) refers to a collection of corporate rules that are primarily focused on risk identification and risk management. The subset of rules and regulations on IT governance is intended to ensure maximum performance by an organization (Banerjee, 2012). Some of the considerations before moving to the cloud include preparing the in-house IT teams, training the human capital, and evaluating available opportunities that will come with migration to the cloud.
THE in-house IT team has to be prepared for cloud migration. It is such a team that will ensure the workforce is united and understand their roles. The premise will have to be relocated, IT infrastructure is will have to change while certificates might have to be changed including Oracle, Cisco, and Microsoft and replaced with the latest such as New Relic, S3, and Azure (Machiraju, S., & Gaurav, 2018).
Training the human capital to learn about the new programs and services needed with the cloud-based operations is crucial. The team has to acquire an in-depth knowledge of the compliance provisions incusing adopting SaaS solutions. It will lead to enhanced performance, encourage innovativeness, and lead to regular upgrades of the available system.
Evaluation of the available opportunities to be gained from moving to the cloud is another crucial consideration to look into. This also involves finding out the risks associated with the migration (Banerjee, 2012). Switching very fast to the new normal is important as it will ensure smooth transition to the new levels of operations with complete security and data backups.