Operations | Monitoring | ITSM | DevOps | Cloud

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

Important API metrics you should monitor

In this article, learn which API metrics you should watch and how Uptrends’ API Monitoring can help you with API tracking and reporting. It is important to know the availability, speed, and validity of API responses whether you publish an API for consumption or your website or app relies on one or more APIs. If an API slips in any of those areas, you’ve got potential trouble. Uptrends API Monitoring has multiple ways to enable you to safeguard your APIs.

Truly Doubling Down on Open Source

A couple of days ago, Elastic announced that it will change the licensing of Elasticsearch and Kibana as of the 7.11 release to a proprietary dual license (under the SSPL license) and away from the open-source Apache-2.0 license. This move has caused extensive turmoil and frustration in the open-source community, especially with organizations that rely on Elasticsearch. Let me start with the end in mind.

Checkly: Synthetic monitoring in one minute

We let you monitor your app's frontend and APIs using the tools and language you love. Run checks on schedule or triggered by GitHub PR from 20+ global locations. When things break or get too slow, we notify you on your favorite channels like Slack or Pagerduty, Discord, SMS etc.. To monitor your frontend, we run JavaScript and open-source powered browser checks. You can configure HTTP requests on the API side and adapt them to your use case running Node.js based setup and teardown scripts. Super handy for all kinds of authentication schemes.

Dissecting the need for ethical AI

Until recently, topics like data ethics and ethics in AI were limited to academic circles and non-profit organizations rallying for citizen data rights. Fast forward to 2020, and the scenario is very different; AI ethics has become a mainstream topic that's a top priority for big organizations. With data collection and processing capabilities growing by the day, it's become easier than ever to train machine learning (ML) models on this collected data. However, organizations have come to realize that, without building transparency, explainability, and impartiality into their AI models, they're likely to do more harm than good to their business. This podcast will explore why ethical AI is the need of the hour, and what key factors AI leaders should consider before implementing AI in their organization's ecosystem.

Monitor your NVIDIA Jetson IoT devices with Datadog

NVIDIA Jetson is a family of embedded, low-power computing boards designed to support machine learning and AI applications at the edge. Organizations use Jetson boards for complex video and image processing and analysis, automating build processes in factories, and improving city infrastructures. For example, Jetson-based devices enable cities to analyze traffic patterns with their existing traffic cameras in order to find ways to improve their most congested intersections.

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.

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.