Operations | Monitoring | ITSM | DevOps | Cloud

DevOps

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

AI and automotive: navigating the roads of tomorrow

I had the pleasure to be invited by Canonical’s AI/ML Product Manager, Andreea Munteanu, to one of the recent episodes of the Canonical AI/ML podcast. As an enthusiast of automotive and technology with a background in software, I was very eager to share my insights into the influence of artificial intelligence (AI) in the automotive industry.

Incident Management Automation - What You Should Know

Automated incident management is the process of automating incident response to ensure that critical events are detected and addressed in the most efficient and consistent manner. In incident management, time is of the essence and the primary benefit of automated incident management is speed. With automation, you can accomplish time-consuming tasks much quicker. This brings down the incident response time and allows the team to focus their attention on matters that require their expertise.

Incident Response Team | Roles & Responsibilities Defined

When your organization faces outages, errors, security breaches, and other incidents, you need to have a plan in place to take appropriate actions as needed. However, you also need a capable team of experts filling critical roles and responsibilities to execute those actions and effectively collaborate to resolve issues quickly. An incident response team, therefore should be developed in a way that avoids skills gaps in expertise.

What are Blameless Retrospectives? How Do You Run Them?

In most engineering organizations, everyone agrees that in complex systems, failure is inevitable. It’s possible to prevent the recurrence of certain incidents, reduce their impact, or shorten the time to resolution. However, it’s impossible to avoid them altogether. In the past, we asserted failures are a result of people’s mistakes. It was all about “the bad apple theory,” focused on finding the “guilty party” and removing them to prevent future failures.

AI's Role In Streamlining Kubernetes Operations For Better Cost Management

While many of us have already heard of Kubernetes, or may even be leveraging it within our technology stacks, it’s still important to remember that the platform is undergoing massive adoption and evolvement. Due to its relative infancy, Kubernetes is ripe to allow for integrating new technologies, like Artificial Intelligence (AI) and Machine Learning (ML). As an open-source platform, Kubernetes orchestrates containerized applications, ensuring they run efficiently and resiliently.

The Azure Cost Management Journey

Episode 3 of #FinOpsonAzure takes you on journey through Azure cost management and FinOps as industry experts Michael Stephenson and Ahmed Bayoumy delve into the nuances of optimizing cloud spend. Also, Ahmed illustrates a compelling real-world case where a client struggled with an unexpected surge in expenses, underscoring the significance of reliable cost tracking and reporting mechanisms. Discover how third-party solutions help enterprises with detailed analytics, empowering them to pinpoint areas for improvement and help with ways to cut down on unnecessary Azure spending.

Patch Management Software: Your Guide to Picking a Patch Manager (with Examples)

Patch management software automatically applies updates to software, firmware, and other system components. Patching makes sure resources are up to date with the latest security and performance improvements to keep software protected and performing as expected.