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

API Analysis with the ELK Stack

Pulling in data exposed via API is not one of the most common use cases for ELK Stack users but it is definitely one I’ve come across in the past. Developers wrapping their database services with REST API, for example, might be interested in analyzing this data for business intelligence purposes. Whatever the reason, the ELK Stack offers some easy ways to integrate with this API. One of these methods is the Logstash HTTP poller input plugin.

An Open Technology Stack for Industrial IoT

AMMP Technologies runs monitoring for energy systems, usually off mini-grids in Africa. The company uses Grafana to monitor interface with physical objects that are not servers or containers. “It’s interesting how a toolkit for visualizing essentially internet/computer/server metrics is so well-suited to working with real-life streaming data,” AMMP Cofounder Svet Bajlekov said during his talk at GrafanaCon L.A.

Monitorama 2019 - Portland, Oregon

A few members of the Scout team had the chance to head to Monitorama in Portland, Oregon this week. For those who do not know what Monitorama is, it is a 3-day, open-source monitoring conference with a single track. There is plenty of time during the breaks to chat with attendees, ask the speakers questions or just catch up on some email.

AppDynamics: Empowering the Enterprise With Real-Time Visibility Into the Application Environment

The world is changing. Today, people and devices are more connected than ever before, raising the bar for performance and the customer experience alike. At AppDynamics, we’re unified in our mission to empower the enterprise with an AI-powered application performance monitoring solution that provides visibility and insight into the IT environment, as well as unified monitoring down to the network, so you can make mission critical and strategic decisions that drive business forward in real-time.

Key Metrics to Baseline Cloud Migration

Cloud computing is well past the emerging stage. It’s no longer a radical idea for businesses to depend on cloud platforms and services to serve as their technology backbone--and the numbers show it. In 2018, Forrester reported that nearly 60% of North American enterprises rely on public cloud platforms. This year, Gartner projects that the public cloud services market will grow from last year’s $182.4 billion to $214.3 billion this year, a 17.5% jump.

5G is Rolling Out: Here's How Cognitive Analytics Will Take Part in the Revolution

5G is here and is widely expected to be a transformative communications technology for the next decade. This new data network will enable never-before-seen data transfer speeds and high-performance remote computing capabilities. Such vast, fast networks will need dedicated tools and practices to be managed, including AI and machine learning processes that will ensure efficient management of network resources and flexibility to meet user demands.

Auvik Use Case: Gain Visibility Into the Internet of Things

There seems to be a smart version of everything these days. From coffee machines to aquarium thermometers, if you can think of a device that can benefit from an internet connection, it probably already exists. It’s not really a surprise. The IoT market is on the brink of explosion, as Intel projects 200 billion IoT devices will be added to our networks by 2020, up from 15 billion in 2015. And they’re not all for personal use.

A Cool Milestone for Monitoring as Code: Checkly Recognized a THIRD Time by Gartner!

Hello, Checkly community and Monitoring as Code (MaC) aficionados! We have some exhilarating news that we can't wait to share. Our mascot is sporting sunglasses today because Checkly has been named in Gartner®'s 2023 Cool Vendors in Monitoring and Observability: Where Awareness Meets Understanding report!

Deep Learning for Time Series Data (O'Reilly Artificial Intelligence Conference)

Arun Kejariwal and Ira Cohen, both thought leaders in the deep learning space, share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. Present at the 2019 O'Reilly Artificial Intelligence Conference.