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Volterra Unveils Distributed Load Balancer

Volterra​ announced new capabilities for its VoltMesh service to provide globally distributed networking and security for cloud-native, API-centric applications.

In contrast to point products like a load balancer or API gateway that were designed to provide a single function for legacy applications, VoltMesh provides multiple services for cloud-native workloads via a single SaaS platform for seamless collaboration, simplified automation and centralized observability. In addition.

“In the cloud-native world, DevOps has taken over responsibility for much of the networking and security work previously done by infrastructure and operations teams,” said Zeus Kerravala, Principal Analyst, ZK Research. “That leaves them with a double-whammy...getting apps deployed faster yet ensuring that microservices and APIs are performing properly. At the same time, they must be sure that everything is properly secured and policy is enforced across all clusters and clouds.”

To address these often conflicting requirements, Volterra has both significantly expanded its VoltMesh service and made it available as a free or paid self-service subscription.

VoltMesh directly addresses many of the operational challenges of distributed cloud-native applications by consolidating multiple networking and security services into a single SaaS-based offering. Instead of implementing a separate load balancer, API gateway and WAF for each cluster, DevOps can activate VoltMesh globally to provide all these services at every cluster with centralized management, end-to-end visibility and policy control. DevOps can dramatically accelerate deployment and simplify operations, while developers can achieve better code integration and application enablement vs. disparate services.

VoltMesh can be deployed in clusters across multiple cloud providers. It can also be seamlessly enabled within Volterra’s application delivery network (ADN) for securing and accelerating application performance to global users.

VoltMesh’s new API auto-discovery and control capabilities simplify the implementation of zero-trust security for cloud-native applications and multi-cloud environments. VoltMesh uses machine learning (ML) to automatically identify all APIs present in an application -- whether they were inserted by the current developer team or were legacy or open-source software components -- as well as learn normal user behavior. It then applies policy to whitelist just those APIs that are required -- automating zero-trust at the API-level.

DevOps and DevSecOps teams can more rapidly implement the controls required for new service rollouts while reducing the attack surface by only allowing APIs that the applications expose.

“When we founded Volterra, we envisioned a platform for application teams to deploy and operate distributed applications and infrastructure in a true cloud environment -- wherever needed,” said Ankur Singla, Volterra co-founder and CEO. “With the addition of a globally distributed load balancer, API gateway and strong API security, we are further bringing our vision to market and empowering DevOps with a cloud-native alternative to legacy point products.”

The updated VoltMesh service is available today as a free software download for base users with two multi-cloud clusters and a paid enterprise subscription for larger footprint and/or globally-distributed deployments.

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Volterra Unveils Distributed Load Balancer

Volterra​ announced new capabilities for its VoltMesh service to provide globally distributed networking and security for cloud-native, API-centric applications.

In contrast to point products like a load balancer or API gateway that were designed to provide a single function for legacy applications, VoltMesh provides multiple services for cloud-native workloads via a single SaaS platform for seamless collaboration, simplified automation and centralized observability. In addition.

“In the cloud-native world, DevOps has taken over responsibility for much of the networking and security work previously done by infrastructure and operations teams,” said Zeus Kerravala, Principal Analyst, ZK Research. “That leaves them with a double-whammy...getting apps deployed faster yet ensuring that microservices and APIs are performing properly. At the same time, they must be sure that everything is properly secured and policy is enforced across all clusters and clouds.”

To address these often conflicting requirements, Volterra has both significantly expanded its VoltMesh service and made it available as a free or paid self-service subscription.

VoltMesh directly addresses many of the operational challenges of distributed cloud-native applications by consolidating multiple networking and security services into a single SaaS-based offering. Instead of implementing a separate load balancer, API gateway and WAF for each cluster, DevOps can activate VoltMesh globally to provide all these services at every cluster with centralized management, end-to-end visibility and policy control. DevOps can dramatically accelerate deployment and simplify operations, while developers can achieve better code integration and application enablement vs. disparate services.

VoltMesh can be deployed in clusters across multiple cloud providers. It can also be seamlessly enabled within Volterra’s application delivery network (ADN) for securing and accelerating application performance to global users.

VoltMesh’s new API auto-discovery and control capabilities simplify the implementation of zero-trust security for cloud-native applications and multi-cloud environments. VoltMesh uses machine learning (ML) to automatically identify all APIs present in an application -- whether they were inserted by the current developer team or were legacy or open-source software components -- as well as learn normal user behavior. It then applies policy to whitelist just those APIs that are required -- automating zero-trust at the API-level.

DevOps and DevSecOps teams can more rapidly implement the controls required for new service rollouts while reducing the attack surface by only allowing APIs that the applications expose.

“When we founded Volterra, we envisioned a platform for application teams to deploy and operate distributed applications and infrastructure in a true cloud environment -- wherever needed,” said Ankur Singla, Volterra co-founder and CEO. “With the addition of a globally distributed load balancer, API gateway and strong API security, we are further bringing our vision to market and empowering DevOps with a cloud-native alternative to legacy point products.”

The updated VoltMesh service is available today as a free software download for base users with two multi-cloud clusters and a paid enterprise subscription for larger footprint and/or globally-distributed deployments.

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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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...