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F5 NGINXaaS for Google Cloud Released

F5 announced the launch of F5 NGINXaaS for Google Cloud, a fully managed, cloud-native application delivery-as-a-service solution. 

Developed in collaboration with Google Cloud, this offering addresses the complex challenges of delivering modern and containerized applications by consolidating load balancing, security, and observability into a unified solution, helping enterprises eliminate tool sprawl, simplify operations, and reduce costs.

F5 NGINXaaS bridges existing industry gaps by combining F5 Application Delivery and Security Platform (ADSP) capabilities with Google Cloud’s services and ecosystem. This collaboration enables enterprises to programmatically tailor systems to their specific evolving requirements, from handling massive traffic bursts to implementing highly customized security policies.

Available in Google Cloud Marketplace, F5 NGINXaaS for Google Cloud dramatically improves application performance by optimizing workload distribution with intelligent traffic management. Unifying Layer 4 and Layer 7 load balancing, the solution enables faster response times and optimal resource utilization—even during periods of spiking demand.

With deep programmability facilitated by the NGINX JavaScript (njs) module, teams gain the flexibility to implement unique business logic and customize functionality in line with their needs. F5 NGINXaaS also supports platform automation tools and integrates seamlessly into CI/CD workflows, streamlining application rollouts.

As businesses scale applications across hybrid and multicloud environments, they often encounter limitations with traditional application delivery and security tools. F5 NGINXaaS for Google Cloud helps eliminate bottlenecks with intelligent load balancing and non-disruptive reconfigurations, enabling enterprises to react quickly to changing demands and conditions.

Access to over 200 real-time metrics further enhances visibility into application health and performance. Native integrations with Google Cloud’s observability and monitoring tools simplify troubleshooting, allowing IT teams to proactively identify and resolve issues before they can impact users.

F5 NGINXaaS also enables advanced deployment strategies—such as blue-green and canary deployments, as well as A/B testing—to promote the smooth launch of new features while minimizing risk. These capabilities provide organizations with the agility to adapt rapidly in fast-paced, evolving digital environments.

F5 NGINXaaS for Google Cloud provides robust encryption and access security controls to help safeguard APIs, microservices, and containerized applications. End-to-end encryption helps ensure secure user communications with features like SSL/TLS passthrough, mutual TLS (mTLS), and SSL/TLS termination.

Authentication and authorization are elevated with JSON Web Tokens (JWT), OpenID Connect (OIDC), and role-based access control (RBAC), allowing organizations to maintain precise control over user and service identities. F5 NGINXaaS for Google Cloud also helps prevent connection timeouts and service disruptions with features like rate limiting, circuit breaking, and request buffering during heavy traffic.

“Our development efforts with Google Cloud have resulted in a game-changing solution that addresses key challenges in application delivery and security. F5 NGINXaaS for Google Cloud combines enhanced visibility with consistent, dynamic performance, empowering organizations to take full control of their cloud app environments while minimizing operational complexity,” said John Maddison, Chief Marketing Officer at F5.

“As businesses integrate AI into their core operations, they face a new set of security challenges. Our partnership with F5 is important in addressing this, giving customers the advanced tools needed to protect their data, maintain control, and innovate confidently in the era of AI,” said Vineet Bhan, Director of Security and Identity Partnerships at Google Cloud. 

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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 ...

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F5 NGINXaaS for Google Cloud Released

F5 announced the launch of F5 NGINXaaS for Google Cloud, a fully managed, cloud-native application delivery-as-a-service solution. 

Developed in collaboration with Google Cloud, this offering addresses the complex challenges of delivering modern and containerized applications by consolidating load balancing, security, and observability into a unified solution, helping enterprises eliminate tool sprawl, simplify operations, and reduce costs.

F5 NGINXaaS bridges existing industry gaps by combining F5 Application Delivery and Security Platform (ADSP) capabilities with Google Cloud’s services and ecosystem. This collaboration enables enterprises to programmatically tailor systems to their specific evolving requirements, from handling massive traffic bursts to implementing highly customized security policies.

Available in Google Cloud Marketplace, F5 NGINXaaS for Google Cloud dramatically improves application performance by optimizing workload distribution with intelligent traffic management. Unifying Layer 4 and Layer 7 load balancing, the solution enables faster response times and optimal resource utilization—even during periods of spiking demand.

With deep programmability facilitated by the NGINX JavaScript (njs) module, teams gain the flexibility to implement unique business logic and customize functionality in line with their needs. F5 NGINXaaS also supports platform automation tools and integrates seamlessly into CI/CD workflows, streamlining application rollouts.

As businesses scale applications across hybrid and multicloud environments, they often encounter limitations with traditional application delivery and security tools. F5 NGINXaaS for Google Cloud helps eliminate bottlenecks with intelligent load balancing and non-disruptive reconfigurations, enabling enterprises to react quickly to changing demands and conditions.

Access to over 200 real-time metrics further enhances visibility into application health and performance. Native integrations with Google Cloud’s observability and monitoring tools simplify troubleshooting, allowing IT teams to proactively identify and resolve issues before they can impact users.

F5 NGINXaaS also enables advanced deployment strategies—such as blue-green and canary deployments, as well as A/B testing—to promote the smooth launch of new features while minimizing risk. These capabilities provide organizations with the agility to adapt rapidly in fast-paced, evolving digital environments.

F5 NGINXaaS for Google Cloud provides robust encryption and access security controls to help safeguard APIs, microservices, and containerized applications. End-to-end encryption helps ensure secure user communications with features like SSL/TLS passthrough, mutual TLS (mTLS), and SSL/TLS termination.

Authentication and authorization are elevated with JSON Web Tokens (JWT), OpenID Connect (OIDC), and role-based access control (RBAC), allowing organizations to maintain precise control over user and service identities. F5 NGINXaaS for Google Cloud also helps prevent connection timeouts and service disruptions with features like rate limiting, circuit breaking, and request buffering during heavy traffic.

“Our development efforts with Google Cloud have resulted in a game-changing solution that addresses key challenges in application delivery and security. F5 NGINXaaS for Google Cloud combines enhanced visibility with consistent, dynamic performance, empowering organizations to take full control of their cloud app environments while minimizing operational complexity,” said John Maddison, Chief Marketing Officer at F5.

“As businesses integrate AI into their core operations, they face a new set of security challenges. Our partnership with F5 is important in addressing this, giving customers the advanced tools needed to protect their data, maintain control, and innovate confidently in the era of AI,” said Vineet Bhan, Director of Security and Identity Partnerships at Google Cloud. 

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

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 ...