Operations | Monitoring | ITSM | DevOps | Cloud

AI

Charmed Kubeflow 1.9 enters general availability with new support for GenAI

Kubeflow 1.9. Kubeflow is a fully open source MLOps platform, part of the Cloud Native Computing Foundation (CNCF) as an incubation project. Canonical is one of the project’s official distributors, ensuring security maintenance of the container images, tight integration with the wider AI/ML ecosystem, and delivering enterprise support and managed services. The latest release offers new features related to GenAI, enabling organisations to run any new initiative in production.

Without AI, Your Telemetry Data Pipeline Sucks

History is filled with stories of human triumph. One of the most famous such stories is that of John Henry, “The Steel Driving Man.” As the traditional American folk story goes, John Henry and his fellow workers were faced with the arrival of the steam engine, which threatened to replace their manual labor. To prove that human strength and skill could outperform the new technology, John Henry challenged the machine to a contest.

Steps to AIOps maturity: Improve MTTR with AI

Many organizations face increased costs from excess noise, manual workflows, and long outage times. These inefficiencies negatively impact budget, service uptime, and, ultimately, customer satisfaction. With effective use of AI, you can give operators the most relevant, full-context incident data, providing a greater understanding of an incident within seconds.

Redefining incident management: the power and pitfalls of AI

Like it or not, AI is having a monumental impact on our lives. Most of the products we engage with today have AI features and functionality, aimed at assisting or completely replacing the actions normally taken by humans. When it comes to incidents, we’re firm believers of accelerating human actions, and believe the risk of over-automation far outweighs the benefits. In this live event we’ll dig a little deeper on why, as we cover the power and pitfalls of AI.

Setting the Record Straight: AI Does Not 'Exist to Harm or Take Over Things' (Like Some People Have Been Led to Believe)

I’ve been working with artificial intelligence (AI) for a long time, so I’m always curious to hear what new engineers think about its potential impact on our lives and the world at large. That’s why I recently sat down with Saliha Demir on our podcast.
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Improving Patch and Vulnerability Management with Proactive Security Analysis

Vulnerability management is the continuous process of identifying and addressing vulnerabilities in an organization's IT infrastructure, while patch management is the process of accessing, testing, and installing patches that fix bugs or address known security vulnerabilities in software applications. Vulnerability management and patch management are crucial SecOps processes that protect IT assets against cyber threats and prevent unauthorized access to secure systems. Effectiveness in patch management and vulnerability management depends on a proactive approach to cybersecurity where enterprise SecOps teams take steps to anticipate and prevent cyber attacks before they happen.

Comparing Generative AI Offerings From Major Cloud Providers

In the last two years, generative AI offerings have exploded in the cloud space (and everywhere else). Major Cloud Service Providers (CSPs) are perfectly positioned to lead these efforts thanks to the fact that they offer the very resources they require to build these models, and their customers are naturally early adopters and heavy users of AI.

Mitigate the Risk of Operational Failure with PagerDuty Advance, GenAI for Every Step of the Incident Lifecycle

As organizations increasingly rely on complex digital infrastructure, they must be ready to move rapidly when major incidents occur. The recent global outage has shown just how fragile IT systems can be. With mounting pressure to deliver seamless customer experiences, GenAI and automation present an opportunity to manage risk more effectively, by ensuring responders have the right information to restore services quickly.

PagerDuty Advance | Generative AI for PagerDuty Operations Cloud

Introducing PagerDuty Advance: GenAI for critical operations work. For every step of the incident lifecycle. For scaling your teams. For sustaining customer experiences. For moving business forward – faster. Work more efficiently. Protect more revenue. Build greater operational resilience. PagerDuty Advance helps operations teams manage business-impacting issues in seconds, not hours. From event to resolution, PagerDuty Copilot’s automations help you resolve issues faster, reduce risk, and control costs.