REST API transaction monitoring
Learn how you can monitor web and mobile APIs with Site24x7. Monitor sequenced API calls, and ensure uninterrupted data collection for your applications.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!
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.
Announcing HAProxy Data Plane API 2.2
The HAProxy Data Plane API 2.2 lays the foundation for first-class service discovery and introduces native support for Consul. It also adds storage and file handling for SSL certificates, Map files, and SPOE configuration files.
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.
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.