Operations | Monitoring | ITSM | DevOps | Cloud

How does GeoDNS work?

Latency is the key differentiator when it comes to application performance on the internet. Reduced latency accelerates the delivery of apps. DNS resolving is the first step towards application delivery and it involves a series of steps. Prior to Anycast DNS, the DNS servers responsible for resolving users’ DNS requests were sitting continents away from many users, contributing to the high latency and slow delivery of applications.

The importance of using the latest browser version for monitoring

Security is one word that is at the tip of everyone’s tongue when it comes to ensuring that web browsers are up to date. In August 2022, after zero day vulnerability CVE-2022-2852 was identified as a critical risk, Google issued a new set of Chrome security updates and tech-industry folks carried on with business as usual. In general, security vulnerabilities of all types are an all-too-common game of Whac-A-Mole. Once a security flaw is discovered and patched, another pops up to take its place.

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.

Charmed Kubeflow now integrates with MindSpore

On 8 November 2022, at Open Source Experience Paris, Canonical announced that Charmed Kubeflow, Canonical’s enterprise-ready Kubeflow distribution, now integrates with MindSpore, a deep learning framework open-sourced by Huawei. Charmed Kubeflow is an end-to-end MLOps platform with optimised complex model training capabilities designed for use with Kubernetes.