Skip to main content

The Hybrid Takeover

Catherine Wong
Domo

When I think about the word "hybrid," the first thing that pops into my mind is hybrid cloud models, which are de-facto in many organizations. But what I've come to see over this past year is that hybrid isn't just about the technology, hybrid models are taking over our daily lives.

I witnessed first-hand how it took years of learning and adjusting to determine how to do hybrid cloud right, in order to optimize a company's technology investments. And in the end, we as an industry have realized that there's no one-size-fits-all when it comes to cloud vs on-prem with your technology strategy. The need for flexibility and accessibility moved organizations towards the hybrid model: a way to get the best of both worlds while meeting the unique needs of the company and its business.

Today's new normal is vacillating across a spectrum of hybrid models, too. The 2020 pandemic forced all of us to shift our work and home lives, and quickly. For example, at work, teams are trying to manage a hybrid of remote workers and in-office workers, while schools and parents are trying to manage remote and in-person learning.

Unlike major tech shifts which have sometimes taken years to be realized, this new model has been an overnight jolt to our systems. And it's been anything but smooth. In fact, for most of us, it's broken. Very broken.

You hear about kids who are unable to join their classes online due to lack of access to WiFi or laptops, or teachers who are running on fumes trying to design education plans that cover both in-person or online learning simultaneously. In the workforce, you're seeing droves of parents — mostly women — leaving their jobs to manage their families through this pandemic.

We don't have a decade to figure out the new hybrid world, but I have faith that together we'll work it out because we've seen the silver lining of finding the best of both worlds through hybrid models.

Capitalizing on the best of both remote and in-person work/school will be determined by tailoring the benefits to your company's or family's needs. Organizations and individuals are on a fast path to finding their hybrid: At work, how are we re-envisioning our schedules, the level of flexibility, and even the physical design of our workspaces? Each team and perhaps type of role will have different needs but will optimize to find their best mode of balance. At school, how can curriculum for various subjects be optimized to take advantage of the best of remote learning practices and experiences?

One thing is certain: Flexibility and adaptability are key, as both benefits and requirements to developing the hybrid model that enables you to thrive. Those attitudes will future-proof our new normal now, and in the event other crises come to jolt the system, we'll be ready with a best of both worlds hybrid solution.

Catherine Wong is Chief Product Officer at Domo

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

The Hybrid Takeover

Catherine Wong
Domo

When I think about the word "hybrid," the first thing that pops into my mind is hybrid cloud models, which are de-facto in many organizations. But what I've come to see over this past year is that hybrid isn't just about the technology, hybrid models are taking over our daily lives.

I witnessed first-hand how it took years of learning and adjusting to determine how to do hybrid cloud right, in order to optimize a company's technology investments. And in the end, we as an industry have realized that there's no one-size-fits-all when it comes to cloud vs on-prem with your technology strategy. The need for flexibility and accessibility moved organizations towards the hybrid model: a way to get the best of both worlds while meeting the unique needs of the company and its business.

Today's new normal is vacillating across a spectrum of hybrid models, too. The 2020 pandemic forced all of us to shift our work and home lives, and quickly. For example, at work, teams are trying to manage a hybrid of remote workers and in-office workers, while schools and parents are trying to manage remote and in-person learning.

Unlike major tech shifts which have sometimes taken years to be realized, this new model has been an overnight jolt to our systems. And it's been anything but smooth. In fact, for most of us, it's broken. Very broken.

You hear about kids who are unable to join their classes online due to lack of access to WiFi or laptops, or teachers who are running on fumes trying to design education plans that cover both in-person or online learning simultaneously. In the workforce, you're seeing droves of parents — mostly women — leaving their jobs to manage their families through this pandemic.

We don't have a decade to figure out the new hybrid world, but I have faith that together we'll work it out because we've seen the silver lining of finding the best of both worlds through hybrid models.

Capitalizing on the best of both remote and in-person work/school will be determined by tailoring the benefits to your company's or family's needs. Organizations and individuals are on a fast path to finding their hybrid: At work, how are we re-envisioning our schedules, the level of flexibility, and even the physical design of our workspaces? Each team and perhaps type of role will have different needs but will optimize to find their best mode of balance. At school, how can curriculum for various subjects be optimized to take advantage of the best of remote learning practices and experiences?

One thing is certain: Flexibility and adaptability are key, as both benefits and requirements to developing the hybrid model that enables you to thrive. Those attitudes will future-proof our new normal now, and in the event other crises come to jolt the system, we'll be ready with a best of both worlds hybrid solution.

Catherine Wong is Chief Product Officer at Domo

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...