5 Lessons on the Evolution From DevOps to Platform Engineering
Get the highlights from our July webinar on platform engineering, featuring senior Cloudsmithers and Humanitec's Luca Galante.
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The latest News and Information on DevOps, CI/CD, Automation and related technologies.
The 6 Best GitOps Tools for Developers
GitOps is a game-changer for managing infrastructure and deployments using Git as the single source of truth. It makes DevOps processes more efficient, reliable, and traceable. For developers and organizations, GitOps not only speeds up development but also improves security and compliance. Today, I’ll break down what GitOps is, why it’s important, and review some top GitOps tools to help you on your journey.
Jaeger vs. Grafana Tempo: A Comprehensive Comparison for Distributed Tracing
When it comes to monitoring, diagnosing, and optimizing the performance of complex systems today, you can’t really go wrong with tracing tools. And while OpenTelemetry has become the go-to choice for instrumenting apps and collecting traces, there are several other options in the backend that can effectively store, manage, and analyze traces sent by OpenTelemetry. Two of these open-source tools are Jaeger and Grafana Tempo. In this article, we’ll compare and contrast the two.
Rancher Live: openEuler x Uyuni
Uyuni is a fully open source configuration and infrastructure management tool for Linux that helps you easily manage and update server estates. It is also the upstream project from which SUSE Manager (SUMA) is derived. Earlier this year, the project introduced support for openEuler, the popular open-source Linux distribution platform. Join us on this Rancher Live episode with Zhenyu Zheng, community operations manager and maintainer of several special interest groups within the openEuler project, to learn more about the project & its collaboration with Uyuni.
Exploring API Center: A Deep Dive with Julia Casper
This episode of "INTEGRATE expert voices - Unplugged" from the Azure on Air podcast, features Julia Casper from Microsoft's API Management team.
AI Summer Camp | Episode 4: AI on public cloud with open source
Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 4: AI on public cloud with open source This will cover: Scenarios in which open source tooling on public cloud solves a problem for AI initiatives Main benefits of using open source tooling on the public cloud for AI projects Use cases from our customers Hybrid cloud and multi cloud opportunities for AI projects.
AI Summer Camp | Episode 5: AI on private cloud in the hyperscalers era
Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 5: AI on private cloud - why is it relevant in the hyperscalers era? This will cover: Why consider a private cloud for AI? Key considerations when building a private cloud for AI projects Performance acceleration options for private cloud Guidance for Kubernetes on OpenStack for AI initiatives.
Why OpenStack is the Best Solution for Your Cloud Strategy | Open Source Cloud Computing
Operating in the cloud has become the norm in today's business world. However, depending solely on public clouds can introduce several challenges such as increased costs, privacy issues, and performance limitations. Enter OpenStack, the world's leading open-source cloud platform. OpenStack empowers you to create your own cloud infrastructure, giving you control over your digital future.
What is the telco core network?
The telecommunications industry relies heavily on their core network, which is essential for enabling communication and data transfer. As technology advances and data demand increases, these core networks pose significant challenges. Telcos may face immense difficulties in ensuring fast data transfer, maintaining network reliability, and securing communications. At the same time, the transition to technologies like 5G adds to these challenges, requiring substantial infrastructure changes.
Build and test a LlamaIndex RAG application
LlamaIndex is a framework for building context-augmented large language model (LLM) applications. It enables you to augment the model with domain-specific data to customize it and improve its responses to your use case. You can use this framework to build a question-answering chat bot, a document understanding and extraction application, or an autonomous agent. The framework provides tools to ingest data, process it, and implement query workflows that combine data access with LLM prompts.