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

Webinar: Building Flexible Software Catalogs for Real-World Use Cases

DevOps solutions have evolved quickly over the last few years. Software catalogs have bloomed beyond service registries and runbooks into comprehensive, centralized engineering sources of truth. With ever-expanding developer tool sets, can teams achieve the flexibility needed to address this fragmentation while continuing to tailor software catalog entries to their unique domains and contexts?

Why organisations across Australia should embrace Test Data Management

In an era marked by the convergence of Big Data, hybrid cloud use, and the rise of machine learning and artificial intelligence, organisations across the Asia-Pacific (APAC) region find themselves at a critical juncture. The ability to collect, manage, and leverage data effectively is now a determining factor for competitive advantage – and will become more competitive.

Cloud Infrastructure Scaling And How It Optimizes Costs And Time

Cloud infrastructure scaling can assist in rightsizing cloud resources in various ways. When discussions occur regarding scaling, its context can often refer to adding resources. However, it can also refer to removing resources. Preparing for how your cloud infrastructure scales begins with thought-out planning, design, and management of resource and tool allocations. This can save your organization time and costs that could otherwise negatively affect your employees, customers, and company.

AI-powered diagnostics for incident response: New Sift features in Grafana IRM

Sift is a machine-learning-powered diagnostic feature in Grafana Cloud that SREs and DevOps teams can use to automate routine parts of incident investigation, such as searching for new errors in logs, surfacing recent deployments, or identifying overloaded Kubernetes nodes. We want Sift to springboard you into an investigation, so useful context is already there by the time you see an alert or declare an incident.

Preview Confidential AI with Ubuntu Confidential VMs and Nvidia H100 GPUs on Microsoft Azure

With Ubuntu confidential AI on Azure, businesses can undertake various tasks including ML training, inference, confidential multi-party data analytics, and federated learning with confidence. The effectiveness of AI models depends heavily on having access to large amounts of good quality data. While using publicly available datasets has its place, for tasks like medical diagnosis or financial risk assessment, we need access to private data during both training and inference.

Four Key Lessons for ML Model Security & Management

With Gartner estimating that over 90% of newly created business software applications will contain ML models or services by 2027, it is evident that the open source ML revolution is well underway. By adopting the right MLOps processes and leveraging the lessons learned from the DevOps revolution, organizations can navigate the open source and proprietary ML landscape with confidence.

How to Set Up an Email Server for Your Business

Setting up a secure email server for your business ensures efficient communication and data security. Having your own email server gives you control over your email infrastructure and the ability to customize it to meet your specific needs. In this guide, we will go over each step when it comes to how to set up an email server for your business.

Making incidents less painful with Kerim Satirli of HashiCorp & Lawrence Jones of incident.io

For a lot of teams, incident management can be a bit of a headache. It's stressful. It's not optimized. The whole process can feel like it's being held together with tape. Worst of all? Responders are the ones feeling the brunt of it. But in reality, your customers are, too. Think about it: But honestly, the situation doesn't even have to be so dire. Things can be, generally speaking, totally fine. But you recognize that there are some things that you can do to make incident response really shine at your organization.