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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Doubling down on open, Part II

We are moving our Apache 2.0-licensed source code in Elasticsearch and Kibana to be dual licensed under Server Side Public License (SSPL) and the Elastic License, giving users the choice of which license to apply. This license change ensures our community and customers have free and open access to use, modify, redistribute, and collaborate on the code.

Machine Learning Guide: Choosing the Right Workflow

Machine learning (ML) and analytics make data actionable. Without it, data remains an untapped resource until a person (or an intelligent algorithm) analyzes that data to find insights relevant to addressing a business problem. For example, amidst a network outage crisis a historical database of network log records is useless without analysis. Resolving the issue requires an analyst to search the database, apply application logic, and manually identify the triggering series of events.

Embracing Open Source data collection

Open source has come a long way. One of my favorite reports on the subject is Red Hat’s State of Enterprise Open Source. For 2020, 95% of respondents said that open source is strategically important to their business needs. Here, I will be recapping my recent Illuminate presentation about embracing open source data collection and I thought it’s important to first talk about how open source has changed.

How to Monitor IoT Devices at Scale Webinar

Releasing a connected device in today's world without some form of monitoring in place is a recipe for trouble. And as you increase your fleet size, more and more issues arise, causing more and more trouble. In this webinar, Tyler demonstrated how to build out your IoT monitoring solutions using metrics allowing you to scale your fleet without adding more issues. Using metrics to monitor a fleet of connected devices allows for assessing the health of thousands to millions of devices, all while keeping complexity, bandwidth, and power consumption to a minimum.

Algorithmia ML Model Performance Visualization Made Easy with This InfluxDB Template

Measuring your machine learning model will help you understand how well your model is doing, how useful it is, and whether your model can perform better with more data. This is what Algorithmia Insights — a feature of Algorithmia Enterprise MLOps platform — does. Algorithmia platform accelerates your time to value for ML by delivering more models quickly and securely, as it is estimated that 85% of machine learning models never make it to production.

It's code! Synthetic monitoring with Terraform Cloud & Checkly

How does one manage monitoring in the age of digital infrastructure as code? Also as code, of course! Combining HashiCorp Terraform Cloud and Checkly enables you to configure synthetic and API monitoring as part of your existing infrastructure codebase. It is flexible, programmable and will keep you out of maintenance hell, even at scale: it is monitoring for developers. Extending your existing Terraform Cloud configuration takes only two minutes. Let's take a look together.

5G and the Journey to the Edge

Recently, AT&T Cybersecuritypublished important findings in the tenth edition of their Insights report entitled, “ 5G and the Journey to the Edge.” Ivanti was thrilled to contribute to the report, which outlines the most pressing security concerns organizations face in a world embracing the revolutionary transformation to 5G and edge technology.

Manage IT on the go with our incredibly effective mobile apps!

Even an insignificant network issue can wreck havoc on your IT infrastructure when left unmanaged. This makes it vital that your IT team is alerted instantly whenever an issue arises, so they can troubleshoot it quickly, and ensure network stability. However, IT teams aren’t sitting at their desks waiting for problems to happen. It’s not uncommon for IT staff to be away from their workstations addressing network issues such as a router failure or a faulty LAN cable.

How to debug Android Chrome from Windows, Linux, or Mac

Testing and debugging websites and web apps on mobile devices can be challenging. Browsers on phones and tablets often don’t have built-in debuggers, and emulating mobile devices is never as accurate as you’d like. To debug mobile websites on Android, the desktop version of Chrome provides a solution with remote debugging. This article will show you how to use remote debugging with Chrome from your computer. You can use one of the common desktop operating systems like Windows, macOS, or Linux.