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

Remote Debugging & Device Observability: How Memfault & Diamond Kinetics fix firmware bugs together

With their original products in the market, Diamond Kinetics relied on customer reports with little detail to fix issues in the field. They soon realized that this process of “psychic debugging” sensors in the wild was not enough and even delayed release dates as they tried perfecting each device before shipment. When they decided to launch a new generation of their product in 2020, they knew they needed a more efficient process.

Splunk Cloud Monitoring Console on Mobile (in 60s)

The Cloud Monitoring Console (CMC) lets Splunk Cloud administrators view information about the status and performance of their Splunk Cloud deployment at a glance. On Splunk Mobile, you can access many of the same CMC dashboards as on Splunk Web. Whether you’re interested about your users, indexes, searches, or ingest volume, you can access this data on the go or at the comfort of your own couch.

Splunk Mobile - Overview (in 60s)

Splunk Mobile enables you to unlock value from your data anywhere at any time. Regardless of your role or level of technical expertise, you can use Splunk Mobile to view dashboards and take action from your mobile device. Whether you’re a C-suite executive looking for a report, a NOC manager investigating an issue, or a SOC analyst uncovering an anomaly, getting answers has never been more convenient with the power of Splunk in the palm of your hands. Splunk Mobile is made for all organizations and roles, including yours.

Splunk Machine Learning Toolkit Overview

You no longer have to be a data scientist to bring intelligence to your Splunk data. The Machine Learning Toolkit (MLTK) availble for free on Splunkbase, is a purpose built tool that extends Splunk Processing Language (SPL) with machine learning algorithms, new commands, and powerful visualizations. This video provides a high-level overview of MLTK and preview the use-cases that it supports.

Announcing the GA of the LogDNA Configuration API and LogDNA Terraform Provider

We’re excited to announce that our Configuration API and Terraform Provider are now generally available for all LogDNA customers. We received tremendous feedback from our public beta release and, based on that feedback, we are enabling several new features with the GA release that allow for more programmatic workflows with LogDNA. First, we are enabling Preset Alerts as a new resource that can be configured with the configuration API as well as within Terraform.

Detecting unusual network activity with Elastic Security and machine learning

As we’ve shown in a previous blog, search-based detection rules and Elastic’s machine learning-based anomaly detection can be a powerful way to identify rare and unusual activity in cloud API logs. Now, as of Elastic Security 7.13, we’ve introduced a new set of unsupervised machine learning jobs for network data, and accompanying alert rules, several of which look for geographic anomalies.

7 paw-some traits you didn't know about Freddy AI

Watch this video and find out the seven ways in which Freddy AI helps your IT agents work smarter and faster with intelligent recommendations. Does your organization have someone like Freddy AI to empower your support team and maximize their productivity? No? Then allow us to tell you a little bit something about our enterprise-grade AI engine, Freddy AI! Empower your agents with intelligent recommendations, and free up their valuable time.

5 Most Common API Errors and How to Fix Them

As software got more complex, more and more software projects rely on API integrations to run. Some of the most common API use cases involve pulling in external data that’s crucial to the function of your application. This includes weather data, financial data, or even syncing with another service your customer wants to share data with. However, the risk with API development lies in the interaction with code you didn’t write—and usually cannot see—that needs debugging.

AI in Predictive Maintenance and Forecasting

Industry 4.0 is taking every industry by storm with unprecedented advancement with innovative technology solutions. Its key technologies such as automation, AI, ML, Data Analytics and IoT enables industries to drive business operations with automated data-driven intelligence. Integrating the physical and digital systems, the manufacturing industry is increasingly adopting intelligent manufacturing in this Industry 4.0 era.