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

cloudzero

Cloud Infrastructure Scaling And How It Optimizes Costs And Time

Feb 21, 2024 By Amanda Chavez In CloudZero
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.
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grafana

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

Feb 21, 2024 By Ben Sully In Grafana
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.
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canonical

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

Feb 21, 2024 By ijlal-loutfi In Canonical
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.
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jfrog

Four Key Lessons for ML Model Security & Management

Feb 21, 2024 By Zohar Sacks In JFrog
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.
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NinjaOne

How to Set Up an Email Server for Your Business

Feb 21, 2024 By Makenzie Buenning In NinjaOne
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.
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Making incidents less painful with Kerim Satirli of HashiCorp & Lawrence Jones of incident.io

Feb 21, 2024 By Incident.io In 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.
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spike

6 Common Challenges in Incident Management

Feb 20, 2024 By Kaushik Thirthappa In Spike
$1.81 trillion—that’s how much software operational failures cost US companies in 2022. But you can avoid such software mishaps. How? With robust incident management! However, running an incident management is no easy feat. It comes with its fair share of challenges. The following are some typical problems you might face when managing incidents: Let’s dive into the nitty-gritty of what causes these problems, their consequences, and how to fix them.
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cortex

MTBF MTTR MTTF MTTA - Your guide to incident response metrics

Feb 20, 2024 By Cortex In Cortex
Even the most reliable and well-designed software systems experience failures. Tracking incident response metrics helps teams strengthen both organizational preparedness and system resilience by uncovering trends, gaps, and opportunities for improvement. In short, important metrics for incident management are: Understanding these metrics helps engineering leaders improve service uptime, meet SLAs, and align operational capacity.
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