SIGNL4, Pycom and Azure IoT Central - IoT Service Alerting
Iot Service Alerting for Azure IoT Central with Derdack SIGNL4 mobile alerting. Hardware used is Pycom with Sensorshield for measuring temperature data.
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Debug iOS applications in six easy steps
In this tutorial, we’ll debug an iOS application with Apple’s Xcode. Xcode is a robust environment for developing and troubleshooting iOS applications. We’ll see how we can use it, alongside Raygun’s iOS Crash Reporting, to quickly address an application deficiency.
Machine Learning CAN Help Your NOC Win the Battle
Rapidly increasing IT complexity, customer expectations around application availability and performance, and the importance of supporting new digital initiatives and services, taken together, are placing unprecedented demands on Network Operations Centers (NOCs) and IT Operations teams inside large, complex organizations like yours.
How we improved our React Native cold start for Android
About two years ago here at Mattermost, we decided to start building a prototype for our mobile apps in React Native (RN for short). We were so impressed with how easy it was to build our app for both platforms that we ultimately decided that RN was the way to go for mattermost-mobile apps. Thanks to RN, we can focus exclusively on ensuring feature parity between our mobile apps and our webapp.
Combining Threat Detection with Artificial Intelligence, Logz.io Launches Security Analytics App for ELK Stack on its Continuous Operations Platform
Boston and Tel Aviv, October 24, 2018 — Logz.io, the leader in AI-powered log analysis, releases the first robust security application built on the open source ELK Stack, bringing powerful and scalable security monitoring and analysis directly into the DevOps workflow.
The Platform Advantage: AI, Machine Learning and IT Ops featuring Nancy Gohring, 451 Research
In this 451 Research 4-part video series, senior analyst Nancy Gohring shares her views on the advantage of combining a platform monitoring approach with AI and machine learning and what are the key drivers and upsides for customers.
Why AI and ML are important for IT Ops now?
In the first part of this 451 Research video series, senior analyst Nancy Gohring shares that with the advent of cloud, containers and microservices, AI and machine learning are now more important than ever for IT Ops.
EMA AI Rants - Artificial Intelligence Needs Domain Knowledge to be Effective
In this EMA AI Rant Torsten Volk (EMA) and Umair Khan (CA) discuss the importance of domain knowledge for successfully using artificial intelligence and machine learning models for service-centric infrastructure management.
EMA AI Rants - Making the Business Case for Artificial Intelligence in IT Ops
Enterprise customers are not looking to buy artificial intelligence or machine learning technology, but are seeking management tools to simplify IT Operations and DevOps.
EMA AI Rants - Why CA Operational Intelligence was Selected into the EMA Top 3 for AI and ML
Modern IT infrastructure monitoring needs to fully focus on applications and business services. EMA Top 3 product CA Digital Operations Intelligence achieves this goal by connecting to the entire application stack, from top to bottom, eliminating the artificial separation between servers, NOC, apps, middleware, databases in data centers and clouds.