Operations | Monitoring | ITSM | DevOps | Cloud

Reliable Alert Notifications - Stay Informed, Stay Ahead

SIGNL4 ensures an automated delivery of your critical alerts from IT, security systems, machines or sensors. Reliability is provided through features like customizable and versatile notification channels, confirmations, proactive and efficient escalation procedures, swift response and real-time alerting, and mobile accessibility to keep you informed anywhere, anytime.

Understanding Mobile Threat Defense in Today's Digital Landscape

Mobile threat defense technology is crucial as digital habits shift towards mobile devices, especially post-COVID. With mobile phones becoming prime targets for cyberattacks, robust protection is essential. The session covers risks from public Wi-Fi, application permissions, and the need for user education to combat phishing. Integration of mobile device management with mobile threat defense enhances cybersecurity, providing real-time protection and immediate threat detection.

Zebra Frontline AI Enablers Overview Video | Zebra

Augment your Zebra mobile devices with advanced AI tools that empower frontline workers to complete tasks faster, easier, and more accurately with the Zebra Frontline AI Enablers, a key component of Zebra’s Frontline AI Suite. These tools provide the building blocks you need to rapidly and cost-effectively develop high-performance AI applications that will streamline workflows and boost operational and workforce efficiency. Now you can develop and deploy AI vision applications in days instead of months — significantly speeding time to market and your return on investment.

Secure the Mobile Edge: Android 16 & iOS 26 STIGs Require MTD

Whether it’s Warfighters deployed in the field or remote analysts supporting missions across the globe, mobile devices make these operations possible. But, these endpoints (and your data) need serious protection. That’s where the Defense Information Systems Agency’s Security Technical Implementation Guides (STIG) come in, setting the baseline for hardened endpoint and application security.

OnPage Introduces Multi-Language Mobile App Localization on iOS & Android

As organizations continue to adopt OnPage across regions and operational environments, providing an experience that feels natural and intuitive for every user has become increasingly important. Clear communication is essential in time-sensitive workflows, and being able to use the app in one’s preferred language supports clarity, confidence, and consistency. To support our growing global user base, OnPage is introducing multi-language localization across its mobile applications.

Top 7 App Development Partners for Startups and Growing Businesses

Mobile applications have become the foundation of digital interaction, defining how people communicate, shop, and manage their daily lives. Behind these experiences are development companies that merge creativity with technical precision. These firms don't just produce apps; they create performance-driven platforms that strengthen brand presence and operational efficiency. In 2025, competition is fierce yet certain names consistently stand out for their innovation, reliability, and results.

App Marketing Strategy: iOS vs Android Launch Guide

It's a mobile-first world where we see app launches every day. With billions of users and their specific requirements, it's difficult to capture and retain attention after the app launch. Nowadays, building a great app is not that difficult, but achieving the app's success rate is. The ultimate success of the app depends on how you execute the app's launch in the target market. This is where the right app marketing strategy comes in, and implementing the top app marketing strategies ensures a strong entry into the market.

AI-Suggested Alert Thresholds for Mobile Telemetry

Life is pretty good. I’ve shipped a mobile app and I’m (happily) drowning in telemetry. Battery impact, time in foreground/background per screen, crash rates, slow frames, network retries – the works. The data is brilliant; the challenge is turning signals into reliable alerts that catch real issues which are relevant to my app’s functions. So… what should I actually listen for, and where should I set the thresholds?