Citrix Systems announced that Citrix DaaS is now available in hybrid cloud and hyperscaler-specific deployment options, making it easier than ever for companies to stand up the secure, high-performing workspaces that an increasingly flexible workforce demands.
Formerly known as Citrix Virtual Apps and Desktops Service, Citrix DaaS modernizes IT and addresses the needs of distributed workers by providing a secure, agile and easy way to quickly deliver apps or desktops from any cloud or datacenter to any device worldwide.
Using the solution, IT can:
- Enhance the User Experience - Provide consistent, simple, access to the apps and data employees need to get work done, wherever it needs to get done.
- Improve Productivity – Serve up unified, one-click access to work resources that empower employees to perform at their best.
- Strengthen Security – Store sensitive information on a secure cloud server and leverage a zero trust security approach to protect all devices, including unmanaged and Bring Your Own.
- Increase Business Agility – Scale desktops up or down on demand across all employee types - including FTEs, contingent and seasonal workers, temp labor, freelancers, designers and even partners - to meet flexible work needs.
- Simplify IT - Rapidly provision desktops in a zero-touch manner to speed onboarding.
- Lower Costs - Reduce maintenance and TCO for managed or unmanaged devices connecting to cloud-delivered apps, desktops, and management capabilities.
“DaaS business and technology needs are different for every organization,” said Carisa Stringer, Vice President, Product Marketing, Citrix. “Some customers need to balance their existing datacenter resources with cloud expansion goals, and others are new to DaaS and embarking on a cloud-first initiative with their hyperscaler of choice.”
That’s why Citrix DaaS is available in two flavors:
- Hybrid DaaS – Provides maximum flexibility to manage on-prem and cloud environments together and rapid provisioning, streamlined cloud management, and comprehensive tools to deliver hybrid work solutions.
- DaaS for Hyperscalers –Designed for simplicity, the turnkey solution allows for rapid deployment of apps and desktops on public clouds, including Microsoft Azure and Google Cloud.
“Companies have long relied on Citrix to deliver secure remote desktops,” Stringer said. “In expanding the options for deploying Citrix DaaS, we can help them accelerate the transition to hybrid work and unlock the benefits it can deliver.”
Citrix DaaS is part of the set of DaaS and VDI solutions Citrix delivers to enable secure hybrid work.
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
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 ...