Computer viruses have the “virus” name because they resemble illnesses in the way they infect a system. Doctors can usually diagnose a virus based on symptoms exhibited by the body. IT professionals can do the same with computers. Typical signs of computer virus infections include:

• Ongoing crashes and blue screen errors
• Slow performance
• Missing files
• Low storage
• Unexpected behavior
• Constant browser pop-ups
• Unidentifiable programs
• Increased network activity
• Disabled security software

Most people know how to prepare for cold and flu season: wash your hands, cover your mouth when you cough, cover your nose when you sneeze, get plenty of rest, and avoid people who might be sick. It’s something we learn from a young age.
We know to take these precautions, because we know how humans contract viruses. In the same vein, when you understand how viruses infect computers, you can take better preventative measures to prevent viruses and identify a virus before it rages out of control.
Common examples of computer viruses include resident viruses, multipartite viruses, direct actions, browser hijackers, overwrite viruses, web scripting viruses, file injectors, network viruses, and boot sector viruses.

Platform engineering is an emerging trend intended to modernize enterprise software delivery, particularly for digital transformation. The engineering platform is created and maintained by a dedicated product team, designed to support the needs of software developers and others by providing common, reusable tools and capabilities, and interfacing to complex infrastructure. 

The specific capabilities of an engineering platform depend entirely on the needs of its end users. The platform is a product, built by a dedicated team of experts and offered to customers, who may be developers, data scientists or end users. Platform teams need to understand the needs of their user groups, prioritize the work, and then build a platform that is useful to the target audience.

Initial platform-building efforts often begin with internal developer portals (IDPs), as these are most mature. IDPs provide a curated set of tools, capabilities and processes. They are selected by subject matter experts and packaged for easy consumption by development teams. The platform team, in close consultation with the developers they support, must determine which approach is best for their unique circumstances.

The goal is a frictionless, self-service developer experience that offers the right capabilities to enable developers and others to produce valuable software with as little overhead as possible. The platform should increase developer productivity, along with reducing the cognitive load. The platform should include everything development teams need and present it in whatever manner fits best with the team’s preferred workflow.

The development of a new generation of tools has made platform engineering one of the hottest topics of conversation within the DevOps community. These tools aim to make building and maintaining platforms easier.

What the ideal development platform is for one company may be useless to another company. Even within the same company, different development teams may have entirely different needs.  The overarching goal of the engineering platform is enhancing developer productivity. For the organization, such platforms encourage consistency and efficiency. For the developer, they provide a welcome relief from the management of delivery pipelines and low-level infrastructure.

In short:

• Platform engineering implements reusable tools and self-service capabilities with automated infrastructure operations, improving the developer experience and productivity. 
• This technology approach utilizes reusable configurable application components and services.
• The benefit to users is in standardized tools, components and automated processes.

Platform engineers write codes that bridge the gaps between software and hardware. They are a vital part of software and hardware industries and run diagnostic tests that verify the correct hardware design. They administer all software services configurations into various environments and supervise application packaging processes while maintaining optimal quality for each application. They manage and maintain all applications, prepare ad hoc reports for various systems and assets, and evaluate and document all operating systems per required standards and associate requests.

Platform engineers design and maintain all desktop and separate appointment activities, assist in template installation, and prepare scripts for all software development. They manage and prepare reports for automated process deployment and further develop reports to present to management. Platform engineers need a bachelor’s degree in computer science or an associate’s degree and relevant work experience.

Serve as technical point of contact on customer engagements.

• Educate the customer on solution as appropriate throughout the life of the project or service life.
• Accountable for the technical decision making, defining successful outcomes and owning engineering execution in the team.
• Develop business cases for investments to drive improvements in metrics.
• Build automation to support product development and data analytics initiatives.
• Create, maintain and track designs (at high and detailed design level) with issue resolution.
• Identify new/emerging technologies for adoption, drive consistent code reviews.
• Provide high quality content deliverables using the appropriate document templates.
• Work with product management to direct priorities and ensure successful execution.
• Continually research current and emerging technologies and proposing changes where needed.

Cloud engineers are IT professionals who are responsible for designing, developing, maintaining, and troubleshooting cloud infrastructure on a daily basis, as well as communicating with end users.

Cloud Engineer on the whole combines various cloud-related roles and each role emphasizes a particular kind of cloud computing. Among the many roles that cloud engineers can play are cloud architecting (conceptualizing cloud solutions), cloud development (employing cloud coding), cloud administration (managing cloud networks), and cloud security.

Those in cloud engineering roles assess an organization’s technology infrastructure and explore options for moving to the cloud. If the organization elects to move to the cloud, a cloud engineer is responsible for overseeing the process, referred to as migration, and maintaining the new system. 

Along with these technical skills, cloud engineering requires managerial skills. Engineers are often called upon to negotiate with vendors, coordinate with other IT team members, and communicate with senior leadership about the progress of a cloud migration project.

Cloud Architecture
These roles focus primarily on assembling the cloud infrastructure, Mullen says. Within a cloud environment, there are numerous computing, networking, and security services that all need to be configured properly. Configuration serves two key roles: To ensure that the right users have access to the right services (depending on their role within the organization) and that the company doesn’t incur unexpected or unnecessary charges. 
Contracts to use cloud services can be as concrete as charging to rent hardware to store data, or as abstract as charging to execute a function within a line of code, Mullen notes. This variability means architects need to pay close attention to the fine print of cloud contracts and compare that to how their organization intends to use a cloud-based service. 

Cloud Development
These roles are responsible for creating the functions, applications, or databases that run on the cloud. Many of the best practices—fast load times, support for multiple Internet browsers, using as little memory as necessary—are analogous to more traditional software and database development, Mullen says. 
“But now, [these individuals] also need to understand the cloud environment, the tools, and how that’s different than working on a single machine or a private data center,” he adds. For example, these developers must understand how an application will respond when accessing databases in different locations or how to run functions or queries efficiently when renting hardware

Cloud Administration
These roles are similar to the traditional system administrator function that manages an organization’s on-premise hardware and software, but with an emphasis on cloud-based services. Primary responsibilities include developing and implementing policies for the use of cloud services, managing requests for new technology, establishing a secure cloud environment, and ensuring appropriate availability of services, also known as uptime. 
Security and availability require careful attention, Mullen emphasizes. The cloud platforms use a “shared model” where they guarantee for some but not all security measures. For example, an individual organization is responsible for building a firewall around the network that’s used to access cloud services with sensitive data and business applications