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Top Six Skills Needed to Manage Hybrid IT Environments

Kong Yang

The market is evolving from traditional on-premises IT to a hybrid strategy where one set of critical services is maintained on-premises, but it’s connected with another set in the cloud. Whether it’s cost savings or improvement in agility organizations are after, one thing is for sure — this migration cannot be done without skilled IT professionals at the helm.

Although the new role of IT professionals in this hybrid world will vary based on individual business needs, all will need to become polymaths in order to be successful. In fact, SolarWinds recently conducted a survey among nearly 100 global IT professionals in its thwack community that revealed the top six skills they say are needed to manage hybrid IT environments.

1. Service-oriented architectures (SOAs)

As more companies move to a hybrid IT model, they will need to be more agile, lean and cost-effective. To meet these needs, the barriers to consumption will need to decrease. So, IT professionals will need to leverage templates and services from the marketplace and understand application architectures, distributed systems, APIs and IT operations.

2. Automation

In a hybrid world, where infrastructure resources are only one part of the equation, businesses will need more than scripts to enable automation as they reduce the friction to consume services. Automation in a hybrid IT environment must abstract away the operations layer and be integrated with machine learning algorithms that will automatically scale, move and remediate services. IT professionals will need to integrate their automation and orchestration workflows with provider APIs.

3. Hybrid IT monitoring

For hybrid IT environments, a complete view of the on-premises data center and the cloud is even more critical. IT professionals must build a tool to aggregate, consolidate and visualize key performance and events metrics, and glean the key points from the data to discern the most valuable pieces of information from their application stacks. Alternatively, they can leverage a monitoring vendor that has an end to end solution that can provide the single point of truth for their IT needs from their premises to their clouds.

4. Vendor management

Vendor management is two-fold, as IT professionals will need to manage the technology aspect of cloud environments, as well as the business side of service provider T&Cs and variable pricing. Most IT professionals are not currently involved in business dealings that include legalese and pricing, but as contracts become more nuanced, IT professionals must improve upon the following trifecta: business savvy for contract negotiation, technical expertise to use cloud services and project management.

5. Application migration

Application migration to the cloud can be time-consuming, as it typically takes weeks for a single application. However, some service providers are making it much easier. But IT professionals must remember that application migration is just step one — the management required following initial migration is arguably more important. They should apply the core competencies they would employ in a traditional IT environment, while having a firm understanding of the application’s key events and performance metrics. Troubleshooting and remediation are also key, because things will change and fail. Therefore, having backup and disaster recovery plans can ensure business continuity.

6. Distributed architectures

Working with distributed architectures will require working across multiple service providers and geographies. It’s important to remember that these architectures abstract the underlying resources, so IT professionals will need to translate speeds and feeds into acceptable quality-of-service for their users. In hybrid IT, they will need to become accustomed to multiple providers handling remediation in case of outages or other performance issues. The control and responsibility for maintaining the distributed architecture will shift beyond IT’s purview, but in their place will be choice, scale, agility and availability of services to build distributed architectures.

Adding and mastering these skills will go a long way to ensuring not only business success in this new hybrid world, but IT career longevity.

Kong Yang is a Head Geek at SolarWinds.

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Top Six Skills Needed to Manage Hybrid IT Environments

Kong Yang

The market is evolving from traditional on-premises IT to a hybrid strategy where one set of critical services is maintained on-premises, but it’s connected with another set in the cloud. Whether it’s cost savings or improvement in agility organizations are after, one thing is for sure — this migration cannot be done without skilled IT professionals at the helm.

Although the new role of IT professionals in this hybrid world will vary based on individual business needs, all will need to become polymaths in order to be successful. In fact, SolarWinds recently conducted a survey among nearly 100 global IT professionals in its thwack community that revealed the top six skills they say are needed to manage hybrid IT environments.

1. Service-oriented architectures (SOAs)

As more companies move to a hybrid IT model, they will need to be more agile, lean and cost-effective. To meet these needs, the barriers to consumption will need to decrease. So, IT professionals will need to leverage templates and services from the marketplace and understand application architectures, distributed systems, APIs and IT operations.

2. Automation

In a hybrid world, where infrastructure resources are only one part of the equation, businesses will need more than scripts to enable automation as they reduce the friction to consume services. Automation in a hybrid IT environment must abstract away the operations layer and be integrated with machine learning algorithms that will automatically scale, move and remediate services. IT professionals will need to integrate their automation and orchestration workflows with provider APIs.

3. Hybrid IT monitoring

For hybrid IT environments, a complete view of the on-premises data center and the cloud is even more critical. IT professionals must build a tool to aggregate, consolidate and visualize key performance and events metrics, and glean the key points from the data to discern the most valuable pieces of information from their application stacks. Alternatively, they can leverage a monitoring vendor that has an end to end solution that can provide the single point of truth for their IT needs from their premises to their clouds.

4. Vendor management

Vendor management is two-fold, as IT professionals will need to manage the technology aspect of cloud environments, as well as the business side of service provider T&Cs and variable pricing. Most IT professionals are not currently involved in business dealings that include legalese and pricing, but as contracts become more nuanced, IT professionals must improve upon the following trifecta: business savvy for contract negotiation, technical expertise to use cloud services and project management.

5. Application migration

Application migration to the cloud can be time-consuming, as it typically takes weeks for a single application. However, some service providers are making it much easier. But IT professionals must remember that application migration is just step one — the management required following initial migration is arguably more important. They should apply the core competencies they would employ in a traditional IT environment, while having a firm understanding of the application’s key events and performance metrics. Troubleshooting and remediation are also key, because things will change and fail. Therefore, having backup and disaster recovery plans can ensure business continuity.

6. Distributed architectures

Working with distributed architectures will require working across multiple service providers and geographies. It’s important to remember that these architectures abstract the underlying resources, so IT professionals will need to translate speeds and feeds into acceptable quality-of-service for their users. In hybrid IT, they will need to become accustomed to multiple providers handling remediation in case of outages or other performance issues. The control and responsibility for maintaining the distributed architecture will shift beyond IT’s purview, but in their place will be choice, scale, agility and availability of services to build distributed architectures.

Adding and mastering these skills will go a long way to ensuring not only business success in this new hybrid world, but IT career longevity.

Kong Yang is a Head Geek at SolarWinds.

Hot Topics

The Latest

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...