In today’s digital age, businesses rely heavily on their IT operations to stay competitive and meet the growing demands of customers. As businesses become increasingly reliant on technology, the skills required to manage IT operations must evolve as well. For these reasons and more, the ITOps skills that matter most today are different in many respects from those that were the most important 10 or 20 years ago.

The evolution of ITOps Skills is crucial due to the necessity of IT operations engineers being able to work with data technologies to ensure businesses can effectively leverage their data resources. Data is one of the most valuable assets held by businesses, and it must be managed efficiently to provide the insights needed to make key business decisions. IT operations engineers must have proficiency in big data platforms like Hadoop and Spark, and understand data management tools such as Cassandra, MongoDB, and MySQL.

Software-defined networking, which enables the creation of abstract, virtual networks on top of physical network infrastructure, has exponentially increased the complexity of modern networks. Therefore, modern IT Ops engineers need to have the necessary skills to manage and maintain these complex networks. They need to be adept at working with software-defined networking solutions like VMware NSX and Cisco ACI.

Modern IT Ops engineers need to be able to manage large-scale distributed environments, such as Kubernetes clusters. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Working with containerized environments is becoming increasingly common, and the ability to manage them is an essential skill for modern IT Ops engineers.

The ability to understand complex cloud architectures, work with cloud-specific tools, and troubleshoot cloud performance issues are essential skills for modern IT Ops engineers. Cloud computing is a critical component of many modern IT operations, and engineers need to understand how cloud computing can be used to deliver scalable and reliable applications.

Although IT operations engineers aren’t usually responsible for security, they do need at least basic security skills. Knowing how to secure networks and applications is a crucial part of any IT operations role. Therefore, IT operations engineers need to have a solid understanding of security best practices, including how to secure networks, identify threats, and mitigate risks.

Project Management Skills for IT Operations Teams

As IT operations grow increasingly complex, the ability to manage IT operations projects becomes increasingly important. IT operations teams need to understand which IT systems and features the business requires, how much money the business can invest in those systems, and how to update those systems over time to ensure they continue meeting changing business needs. IT operations teams need to have strong project management skills to deliver projects on time and within budget.

In particular, IT operations teams need to understand business requirements, budgeting, resource allocation, system upkeep, and maintenance of IT systems. Understanding the business requirements involves identifying business goals and aligning IT operations with those goals. Budgeting and resource allocation involve understanding how much money and resources the business can invest in IT operations projects. System upkeep and maintenance involve ensuring that IT systems are running smoothly, are up-to-date and secure, and are delivering the expected results.

Systems Engineering in IT Operations (ITOps)

Systems engineering can assist IT operations teams in managing complexity, reducing costs, and aligning IT with business needs. The structured approach of systems engineering covers the entire lifecycle of complex systems, from design to implementation and maintenance. This is accomplished by breaking down complex systems into smaller, more manageable components and optimizing each component individually to improve overall system performance.

Systems engineering also ensures that IT and business are aligned by taking into consideration the business requirements and matching them against IT operation projects. Integration with the business ensures that IT operation projects contribute directly to the business goals and objectives.

Benefits of IT Ops Skills

An IT operations team that possesses all the skills described above can bring various benefits to a business. These benefits include technical expertise, analytical skills, collaboration skills, planning skills, and the ability to continuously improve IT operations and business operations.

Technical expertise is essential to ensure that IT operations projects are delivered as expected. Analytical skills are necessary to identify issues and provide effective solutions. Collaboration skills facilitate teamwork and communication among team members, vendors, and customers. Planning skills enable IT operations teams to optimize the use of resources and manage projects effectively. Finally, the ability to continuously improve IT operations and business operations ensures that the IT operations team can adapt to changing business requirements and stay ahead of the competition.

In conclusion, modern ITOps skills have evolved significantly over the last decade, driven by the emergence of new technologies, increased complexity, and growing business requirements. Today’s IT operations engineers need to be proficient in managing complex networks, working with big data platforms and cloud technologies, and possess project management skills. Systems engineering provides a structured approach to the design, implementation, and maintenance of complex systems while ensuring that IT and business are aligned. An IT operations team that brings all of these skills to the table provides significant benefits to businesses by optimizing the use of resources and enhancing the overall efficiency and effectiveness of IT operations.

Explore more

How Will Salesforce’s $8B Informatica Deal Impact AI?

Salesforce’s strategic decision to acquire Informatica for approximately $8 billion in equity value marks a pivotal shift in the AI-powered cloud data management landscape. As the leading AI Customer Relationship Management (CRM) platform globally, Salesforce aims to strengthen its AI capabilities by integrating Informatica’s advanced data management services into its ecosystem. This acquisition is set to enhance Salesforce’s data foundation,

AI Solutions Revolutionize E-Commerce Product Discovery

In a rapidly evolving digital marketplace, integrating artificial intelligence (AI) solutions stands as a cornerstone for e-commerce innovation. As consumer expectations rise and new technologies emerge, e-commerce platforms face the imperative to adopt advanced systems that enhance user experiences. With the implementation of AI technologies, specifically those developed by Zilliz, the landscape of product discovery is undergoing a significant transformation.

Automate SEO Keyword Clustering Using Python and SERP Data

Search engine optimization (SEO) has evolved significantly, adapting to new technologies and shifting user behaviors. As search intent becomes increasingly crucial in the era of artificial intelligence, understanding and leveraging this concept is vital for marketers. Keyword clustering involves grouping similar keywords based on shared characteristics, such as user intent. This process enhances SEO strategies by providing clearer insights into

NTT Data Expands with New 1GW Global Data Center Capacity

In a rapidly evolving digital landscape, the demand for robust data infrastructure is skyrocketing, driven by technological advancements and the rise of AI. Responding to this unprecedented demand, NTT Data is taking decisive steps by embarking on an ambitious global expansion plan to develop nearly 1GW of new data center capacity across key international markets. This extensive development spans three

B2B Marketers Adapt to Budget Cuts and Tech Integration Challenges

In the intricate realm of business-to-business (B2B) marketing, professionals are currently grappling with a mix of challenges that test their agility and creativity. The landscape is shaped by diverse factors, ranging from shrinking budgets and heightened audience expectations to internal organizational hurdles. The complexity is further compounded by technological shifts and the need to demonstrate effective returns on investment. Forrester’s