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

New Integration: Declare FireHydrant Incidents from Checkly Alerts

Streamlining your incident management process is what we do best, and one of the ways we do that is by acting as the connective tissue across all of your applications. We’ve partnered with Checkly to bring you a new integration that empowers you to detect problems and resolve incidents faster.

Use Datadog's Notebooks API to programmatically manage your notebooks

Datadog Notebooks simplify the way teams across an organization find and share knowledge. By bringing together live data and rich Markdown text, Notebooks help teams create powerful, data-driven documents—from runbooks and support playbooks to incident postmortems and data reports. And with collaboration functionalities like real-time editing and commenting, team members can simultaneously make changes to a document and gather feedback along the way.

Monitoring a RESTful API on a Headless CMS Using Pingdom

There are plenty of ways to gain insights on website availability and performance, from setting up complex monitoring agents to browsing through real-time logs. Few services are as straightforward and robust as SolarWinds® Pingdom®. Pingdom lets you set up checks for your website including uptime, page speed, and user interactions. It then collates the results in a dashboard for you to visualize.

B. Paques & K. Polossat | Combining the Power of InfluxDB & AWS for IoT | InfluxDays EMEA 2021

Data from sensors and systems flows in from a myriad of sources in industrial settings. In this session, learn how to combine the power of InfluxDB with IoT tools and cloud resources from AWS to extract the most value out of your IoT data. We’ll also be sharing some real-world examples of how customers are using these combined solutions to gain a competitive edge.

Anomaly Detection with Machine Learning

Unsupervised machine learning can help you detect anomalies in your data and forecast trends. The Elastic Observability and Security solutions have preconfigured machine learning models right out of the box. In this video you will see how you can get started with creating your own machine learning jobs.

Incident Reporting and Crime Detection: The Role of Computer Vision

One of the most important uses of Artificial Intelligence (AI) and Machine Learning (ML) lies in the detection and prevention of criminal activities. Today, companies are widely using AI-powered computer vision devices to predict and detect crimes ranging from frauds and theft to violence and cybercrimes. The developments in computer vision technologies enabled authorities to simplify incident reporting and crime detection more efficiently.

Grafana Loki: Open Source Log Aggregation Inspired by Prometheus

Logging solutions are a must-have for any company with software systems. They are necessary to monitor your software solution’s health, prevent issues before they happen, and troubleshoot existing problems. The market has many solutions which all focus on different aspects of the logging problem. These solutions include both open source and proprietary software and tools built into cloud provider platforms, and give a variety of different features to meet your specific needs.

Is "Vendor-Owned" Open Source an Oxymoron?

Open source is eating the world. Companies have realized and embraced that, and ever more companies today are built around a successful open source project. But there’s also a disturbing counter-movement: vendors relicensing popular open source projects to restrict usage. Last week it was Grafana Labs which announced relicensing Grafana, Loki and Tempo, its popular open source monitoring tools, from Apache2.0 to the more restrictive GNU AGPLv3 license.

B. Paques & K. Polossat | Combining the Power of InfluxDB and AWS for IoT | InfluxDays EMEA 2021

Data from sensors and systems flows in from a myriad of sources in industrial settings. In this session, learn how to combine the power of InfluxDB with IoT tools and cloud resources from AWS to extract the most value out of your IoT data. We’ll also be sharing some real-world examples of how customers are using these combined solutions to gain a competitive edge.