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Your Brand, Your Message: Custom End User Notifications and Branding in Automox

Automox announced major enhancements to its agent tray experience, delivering unprecedented control over end user communication while maintaining seamless productivity. 

The new End User Experience features will redefine how IT teams manage device updates, reduce support tickets, and build trust with end users through customizable notifications and intelligent automation.

The enhanced agent tray capabilities address a critical challenge facing IT professionals: how to balance security compliance with end user productivity. The new features empower IT teams to deliver clear, branded communications while respecting user workflows and minimizing disruptions. Key features include:

  • Custom notification texts let IT replace default Automox messages with organization-specific install and restart alerts for clearer, aligned communication.
  • Custom branding capabilities (coming soon) let you replace the default Automox icon with your company logo, helping users recognize trusted IT actions and avoid confusion that drives support tickets.
  • Real-time, non-intrusive app status visibility (coming soon) keeps users aware of third-party app updates, status, and required actions — eliminating surprises and building trust in IT.
  • Do Not Disturb functionality (coming soon) respects user productivity, allowing users to mark devices unavailable for updates, while giving IT the flexibility to override for critical security patches.

“End users deserve visibility into what’s happening on their devices, and IT needs flexibility to speak in their own voice,” said Justin Talerico, CEO of Automox. “These enhancements solve a fundamental challenge in endpoint management: How do you maintain security and compliance while keeping end users informed and reducing disruptions? The new agent tray delivers both.”

Better communication and transparency mean better outcomes for the entire organization. With these End User Experience enhancements, Automox transforms endpoint management from a necessary disruption into a seamless, trust-building collaboration between IT and end users.

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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 ...

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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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Your Brand, Your Message: Custom End User Notifications and Branding in Automox

Automox announced major enhancements to its agent tray experience, delivering unprecedented control over end user communication while maintaining seamless productivity. 

The new End User Experience features will redefine how IT teams manage device updates, reduce support tickets, and build trust with end users through customizable notifications and intelligent automation.

The enhanced agent tray capabilities address a critical challenge facing IT professionals: how to balance security compliance with end user productivity. The new features empower IT teams to deliver clear, branded communications while respecting user workflows and minimizing disruptions. Key features include:

  • Custom notification texts let IT replace default Automox messages with organization-specific install and restart alerts for clearer, aligned communication.
  • Custom branding capabilities (coming soon) let you replace the default Automox icon with your company logo, helping users recognize trusted IT actions and avoid confusion that drives support tickets.
  • Real-time, non-intrusive app status visibility (coming soon) keeps users aware of third-party app updates, status, and required actions — eliminating surprises and building trust in IT.
  • Do Not Disturb functionality (coming soon) respects user productivity, allowing users to mark devices unavailable for updates, while giving IT the flexibility to override for critical security patches.

“End users deserve visibility into what’s happening on their devices, and IT needs flexibility to speak in their own voice,” said Justin Talerico, CEO of Automox. “These enhancements solve a fundamental challenge in endpoint management: How do you maintain security and compliance while keeping end users informed and reducing disruptions? The new agent tray delivers both.”

Better communication and transparency mean better outcomes for the entire organization. With these End User Experience enhancements, Automox transforms endpoint management from a necessary disruption into a seamless, trust-building collaboration between IT and end users.

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...