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EfficientIP Announces Edge DNS Global Server Load Balancing

EfficientIP announced the release of the edge DNS GSLB (Global Server Load Balancing) offering.

With enterprises moving to multi-cloud environments, datacenters becoming distributed and security risks increasing, DNS GSLB helps enhance user experience while strengthening resiliency (DRP) and reducing costs by simplifying architectures.

The solution integrates load balancing functionality into both authoritative and recursive DNS servers, allowing application traffic routing decisions to be taken from the network edge. It can be used as an alternative or as a complement to traditional load balancers/application delivery controllers (ADCs). By adding global server load balancing to its SOLIDsever product suite, EfficientIP brings a unique all-in-one solution comprising DNS services, GSLB functions and purpose-built DNS security in the same appliance.

GSLB is a method of distributing traffic amongst servers potentially dispersed across multiple geographies. Combining DNS and GSLB functionality on the same server significantly reduces capex and opex for companies, simplifying rollout throughout company infrastructure. Enabling GSLB with EfficientIP DNS removes the requirement to move DNS domains towards specific load-balancing solutions such as ADCs. All DNS zones and records remain in a single management system easing transition to load-balancing, while at the same time centralizing administration and lowering costs.

Standard GSLB is based on authoritative DNS services deployed within datacenters. Implementing GSLB in recursive DNS servers adds unique capability for application traffic routing decisions to be made much closer to each user, enabling native geolocalization. This helps accelerate app response times which leads to improved user experience (UX), particularly with distributed topology in the context of multiple user sites. And to ensure that applications are available to users, DNS GSLB includes a constant health checking functionality. Load balancing strategies are consequently enhanced as they can be based on the current health of each node supporting the application.

The fact that edge GSLB can be deployed on remote sites significantly strengthens resiliency and extends coverage of failure detection to include datacenter, WAN, server and GSLB failure. Disaster recovery and business continuity are guaranteed due to automatic or manual failover capability.

In today’s multi-regional datacenter and multi-cloud environments, edge GSLB brings deployment simplicity for application traffic routing management. And by adding IP Address Management (IPAM) functionality, businesses can manage both their cloud and on premise apps from a central repository, bringing them significant time and cost savings.

EfficientIP CEO David Williamson commented: “Digital transformation is modifying IT landscapes by distributing applications, users are becoming more mobile, and datacenters evolving towards hybrid cloud. To ensure business continuity and meet UX expectations in this challenging context, availability, performance and delays for application access are key. GSLB helps control routing of application traffic, but businesses still face challenges around multi-site deployment, app response time accuracy, and DNS resolution latency. EfficientIP is proud to help overcome these issues by moving load balancing to the network edge with our world’s first edge DNS GSLB built into the industry’s most advanced DNS security appliance.”

The DNS GSLB product is available on EfficientIP SOLIDserver Release 7.

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EfficientIP Announces Edge DNS Global Server Load Balancing

EfficientIP announced the release of the edge DNS GSLB (Global Server Load Balancing) offering.

With enterprises moving to multi-cloud environments, datacenters becoming distributed and security risks increasing, DNS GSLB helps enhance user experience while strengthening resiliency (DRP) and reducing costs by simplifying architectures.

The solution integrates load balancing functionality into both authoritative and recursive DNS servers, allowing application traffic routing decisions to be taken from the network edge. It can be used as an alternative or as a complement to traditional load balancers/application delivery controllers (ADCs). By adding global server load balancing to its SOLIDsever product suite, EfficientIP brings a unique all-in-one solution comprising DNS services, GSLB functions and purpose-built DNS security in the same appliance.

GSLB is a method of distributing traffic amongst servers potentially dispersed across multiple geographies. Combining DNS and GSLB functionality on the same server significantly reduces capex and opex for companies, simplifying rollout throughout company infrastructure. Enabling GSLB with EfficientIP DNS removes the requirement to move DNS domains towards specific load-balancing solutions such as ADCs. All DNS zones and records remain in a single management system easing transition to load-balancing, while at the same time centralizing administration and lowering costs.

Standard GSLB is based on authoritative DNS services deployed within datacenters. Implementing GSLB in recursive DNS servers adds unique capability for application traffic routing decisions to be made much closer to each user, enabling native geolocalization. This helps accelerate app response times which leads to improved user experience (UX), particularly with distributed topology in the context of multiple user sites. And to ensure that applications are available to users, DNS GSLB includes a constant health checking functionality. Load balancing strategies are consequently enhanced as they can be based on the current health of each node supporting the application.

The fact that edge GSLB can be deployed on remote sites significantly strengthens resiliency and extends coverage of failure detection to include datacenter, WAN, server and GSLB failure. Disaster recovery and business continuity are guaranteed due to automatic or manual failover capability.

In today’s multi-regional datacenter and multi-cloud environments, edge GSLB brings deployment simplicity for application traffic routing management. And by adding IP Address Management (IPAM) functionality, businesses can manage both their cloud and on premise apps from a central repository, bringing them significant time and cost savings.

EfficientIP CEO David Williamson commented: “Digital transformation is modifying IT landscapes by distributing applications, users are becoming more mobile, and datacenters evolving towards hybrid cloud. To ensure business continuity and meet UX expectations in this challenging context, availability, performance and delays for application access are key. GSLB helps control routing of application traffic, but businesses still face challenges around multi-site deployment, app response time accuracy, and DNS resolution latency. EfficientIP is proud to help overcome these issues by moving load balancing to the network edge with our world’s first edge DNS GSLB built into the industry’s most advanced DNS security appliance.”

The DNS GSLB product is available on EfficientIP SOLIDserver Release 7.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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