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DevOps.com Webinar: Running Stateful Applications on OpenShift Needs a Cloud Native Storage Stack

As the adoption of Kubernetes distributions such as OpenShift grows, developers and DevOps teams are expanding the use cases beyond stateless applications to stateful applications in order to drive operational consistency, extend the agility of containerization to data, gain faster collaboration, and simplify the delivery of data services. However, when it comes to provisioning storage for complex stateful applications that span multiple pods and services, careful storage management and day-to-day data management capabilities and expertise are critical requirements.

Robin.io Webinar: Simplifying Kubernetes Storage and Data Management For DevOps

As container and Kubernetes adoption grows, developers and DevOps teams are expanding the use cases beyond stateless applications to stateful applications in order to drive operational consistency, extend the agility of containerization to data, gain faster collaboration, and simplify the delivery of data services. However, when it comes to provisioning storage for complex stateful applications that span multiple pods and services, careful storage management and day-to-day data management capabilities and expertise are critical requirements. Join us for this webinar where you will learn.

With the new AWS IoT SiteWise plugin, you can visualize and monitor your equipment data in Grafana dashboards

In collaboration with the AWS team, we have just launched another AWS integration, the AWS IoT SiteWise plugin for Grafana. AWS IoT SiteWise is a managed service that helps users collect, store, organize, and monitor data from industrial equipment, across facilities, at scale.

Top API Performance Metrics Every Development Team Should Use

APIs provide insights for development teams to configure and deploy DevOps infrastructure. API performance metrics aid in the contribution of operational functionalities to the project. API performance metrics are measured in a hierarchical structure in conjunction with operational API metrics. Operational metrics are the most basic set of the metric structure for measuring API performance. The metrics include number of API calls, CPU or memory usage.

Remote troubleshooting made easy with Mobile Device Manager Plus

System administrators play a vital role in every organization’s IT department, and one of the key responsibilities they have is to troubleshoot employees’ devices in case of device issue or malfunction to prevent loss of productivity. With employees working from remote locations, especially now during the pandemic, troubleshooting can be challenging without the device being physically present.

Artificial Intelligence vs Machine Learning in Technology

‍As children we believed in magic, imagined, and a fantasy where robots would one day follow our commands, undertaking our most meager tasks and even help with our homework at the push of a button! But sadly it always seemed that these beliefs, along with the idea of self-driven aero cars and jetpacks, belonged in a future beyond our imagination or in a Hollywood Sci-fi. Would we ever get to experience the future in our lifetime?

Observability and AI: Better Together

There’s an AI-led developer and operations (DevOps) evolution afoot which is stoking SREs’ increasingly critical efforts to assure and improve the customer experience by automating the toil out of observability. This movement feeds on a supercharged process of turning telemetry into actionable insight by automatically drawing anomalies, changes and events out of the full-stack event and telemetry data, and analyzing it for correlation and causality.

Predictions: The AI Challenges of 2021

The overall theme of Splunk’s four-part 2021 Predictions report is the rapid acceleration of digital transformation, driven by the specific event of the COVID-19 pandemic, and the momentum of data technologies that have brought us into a true Data Age. Nowhere is that acceleration going to be more transformative than around the application of artificial intelligence and machine learning.