Operations | Monitoring | ITSM | DevOps | Cloud

The Splunk Deep Learning Toolkit (DLTK) is a very powerful tool that allows you to offload compute resources to external container environments. Additionally, you can use GPU or SPARK environments. In last Splunk blog post, The Power of Deep Learning Analytics and GPU Acceleration, you can learn more about building a GPU-based environment. Splunk DLTK supports Docker as well as Kubernetes and OpenShift as container environments.

Earlier this week, I wrote a blog stating our intention to fork Kibana and Elasticsearch. This was a huge decision on our end, one that we did not take lightly. A few days have passed since this announcement and I wanted to share how humbled and excited we are with the responses from companies and individuals who are eager to participate and contribute.

Azure IoT Edge is a Microsoft Azure service that allows you to run containerized workloads on IoT devices. With IoT Edge and Azure IoT Hub, Azure’s device-management platform, organizations across science, manufacturing, energy production, and other industries can provision their IoT devices and workloads at the edge of their cloud networks for immediate in-unit computing, a necessity when running AI algorithms or parsing large datasets directly on IoT devices.

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.

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.