Operations | Monitoring | ITSM | DevOps | Cloud

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

Monitor your OpenStack components with Datadog

OpenStack is an open source cloud platform that enables customers to provision and manage compute, storage, and networking resources via web-based dashboards or APIs. OpenStack offers a range of services beyond standard infrastructure-as-a-service functionality, including orchestration, fault management, and service management components. These components help customers build, maintain, and scale high-availability applications.

Mastering IPM: Protecting Revenue through SLA Monitoring

If you’re an SRE, then you already know your SLOs from your SLAs, not to mention your SLIs. But even if you’re not au fait with those acronyms, you’ll soon discover how widespread and applicable these concepts are in this installment of our IPM Best Practices Series. We’ll explore these concepts in detail and explore how external monitoring can enhance the tracking of Service Level Objectives (SLOs), leading to positive user experiences and informed decision-making.

What is Kubernetes Architecture?

Kubernetes is an open-source platform designed to automate deploying, scaling, and managing containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Understanding the architecture of Kubernetes is crucial for anyone who works with this platform. It helps you to better understand how different components of a Kubernetes cluster interact with each other and how applications are run on this platform.

What's new with Google Cloud for 2024

Google Cloud, the number three player in the global IaaS and PaaS sectors, secured a market share of 10% towards the end of 2023 with similar commitments to AI that we’re seeing across the cloud provider board. Although growth at Google Cloud hit 24% year-on-year in Q3, according to Canalys, performance was lower than expectations as the cloud provider struggled more than its peers with the delayed impact of enterprise’ IT cost-cutting measures.

AI vs. ML: What's the Difference? + What is #aiops in 60 Seconds | #backtobasics | LogicMonitor

Ever wonder what #machinelearning (#ml) really means? Or how it's different from #ai? What even is #aiops? This #BackToBasics short explains it ALL in plain English! #shorts Follow us...

Setting Up Your First Cloud Patch in GitKraken Client #shorts

So, you flipped the switch to enable Cloud Patches in GitKraken Client's experimental features. ✅ What's next? 🤷 Follow GitKraken Ambassador Kevin Bost (@kitekeboo) through naming & permissions settings for Cloud Patches, allowing you to easily share code with yourself, your colleagues, or anyone else within your org. 👍

Measuring the impact of your reliability work with reports

Improving reliability is important, but how do you prove that your efforts are having an impact? A critical part of reliability work is having the tools to measure and track your progress. Gremlin supports this by providing several built-in reports, which update automatically and are available on-demand. This blog post is a quick introduction to Gremlin’s reporting capabilities.

Strategic Software Selection with Portfolio Analysis

Portfolio Analysis is a strategic process that evaluates potential software vendors in a business investment portfolio. This method assesses risk and potential returns by considering factors such as vendor stability, technological maturity, and alignment with the organization's strategic goals. By implementing Portfolio Analysis in software vendor selection, organizations can optimize their overall software portfolio.

Exploring edge computing in automotive

From autonomous cars to factories: how data processing at the edge will transform automotive Automotive is at the forefront of innovation, but challenges always come with change. One of those challenges is processing data in decentralised environments like factories or vehicles. In this webinar, you will learn about automotive use cases that require local data processing for confidential reasons, or simply due to networking constraints. We will also discuss what edge clouds bring to the table and how Canonical’s MicroCloud addresses the automotive industry’s edge computing challenges.