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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Integrate with AppDynamics | AppDynamics Demo with Moogsoft | Moogsoft Product Videos & How-Tos

After watching this video, you will be able to set up a template in AppDynamics to send data to Moogsoft, configure a JSON payload to map AppDynamics data to Moogsoft event fields, and define an AppDynamics policy to forward health rule violations and other issues to Moogsoft.

Cycle.io @ KubeCon 2022: Bringing a K8s alternative to the masses!

Detroit, known by its nickname “Motor City'', is a bustling and beautiful city filled with dazzling architecture, food, history, and of course, people.This year, it was home to KubeCon 2022. The city is close to home for Jake and I, 45 minutes from where we started Cycle; it was wonderful seeing how the city has grown the last few years. The art deco style buildings loomed overhead, and the smell of freshly cooked food wafted through the downtown area just outside the venue.

Protecting Your VoIP Infrastructure From DDoS Attacks

Distributed denial of service (DDoS) attacks are an ongoing issue for communications service providers, putting critical systems at risk, undercutting service level agreements, and bringing unwanted headlines. In the first half of 2022 6 million of these attacks were reported. Some metrics of DDoS attacks in 1H2022 compared to 2H2021.

Early stage data teams: a balancing act

Most well established data teams have a clear remit and a well defined structured for what they work on and when: from the scope of their role (from engineer to analyst) to which part of the business they work with. At incident.io, we have a 2 person data team (soon to be 3) with both of us being Product Analysts.

A hands-on guide to work with MindSpore on Kubeflow

Looking at the report that Gartner did in 2022 regarding top technology trends, AI engineering represents an important pillar in the near future. It is composed of three core technologies: DataOps, MLOps and DevOps.The discipline’s main purpose is to develop AI models that can quickly and continuously provide business value. For instance, models that enable cross-functional collaboration, automation, data analysis, and machine learning.