stanza VS kubernetes

Been a while since I looked into fluentd and elasticsearch but I heard Stanza (soon to be moved to the OpenTelemetry Collector) is meant to be a modern replacement for it, but seems it's still in it's early days.

And then they contacted some famous log collection projects such as the Fluent Bit and also others like Stanza as well as Syslog, I guess. And I didn't read the whole thread of the conversation around log collection. But now, they set the Stanza as the first implementation of OpenTelemetry logs. And in Stanza, the observIQ with Stanza is merged under the OpenTelemetry log repository, so that's the status. And then, they try to standardize the format of logs based on the Stanza format, such as what kind of information should be included in log.

observIQ is a hosted log management platform that's powered by our FOSS log agent, Stanza: https://github.com/observIQ/stanza. Stanza is lightweight and robust (written in Go), and can be configured to act as a Syslog receiver in about a minute (guided configuration in our app).

observIQ is a simple, cost-effective hosted log management platform designed with small teams in-mind. Log collection is powered by Stanza: https://github.com/observIQ/stanza , our high-performance OSS log agent. Stanza was also recently adopted as the official log agent of the CNCF's OpenTelemetry project. observIQ offers guided-installation, pre-made dashboards, threshold-based alerts, live tail and more.

We're a new hosted log management platform with simple, native support for gathering logs from Openshift. Deployment typically takes a few minutes. We also automatically enrich Openshift logs metadata like node, namespace, pod, container - no additional configuration required. Logs are gathered with your high-performance OSS log agent, Stanza: https://github.com/observIQ/stanza

We offer a super simple, hosted log management platform that allows you to easily ingest any syslog traffic by setting up high-speed OSS agent as a syslog receiver in just a few click (setup takes about 30 seconds). You can find more about our log agent here: https://github.com/observIQ/stanza

Self-promotion alert, my apologies: Check us out at observIQ: https://observiq.com/ We provide a super-simple host log management platform powered our high-performance OSS Log Agent, Stanza (https://github.com/observIQ/stanza). Average setup time is about 5 minutes, end-to-end. Our platform is designed with start-ups and small businesses in-mind and are priced about half as much as our competitors. Lastly, we offer 14-day free trial, but also offer a completely free plan that provides 3 gigs of ingestion/day and 3 day retention - with access to the full feature set of the platform (Dashboards, Alerts, Live Tail). Shoot me a message or chat if you have any questions!

Similarly, our platform will be rolling out this feature soon, and will utilize our lightweight FOSS log agent Stanza - written in Go. The agent may work for your project https://github.com/observIQ/stanza

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

If you do kubectl explain deployment than (surprise!) you'll get a description for extensions/v1beta1. Because kubectl explain works the same way, just like kubectl get:

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.