Code_DevOps
modern deployment
20$ for 200,000 invokations on heroku
https://www.bbva.com/en/innovation/economics-of-serverless/
https://aws.amazon.com/lambda/pricing/?did=ap_card&trk=ap_card
DevOps
ethernet vs wifi pi 0w vpn
sytem backup -img? vs docker magic packet or wol
code_DevOps
The discussion centers around the complexity and practicality of Kubernetes (K8s) for various scale applications, particularly for startups and early-stage businesses. There are differing views on Kubernetes’ necessity and practicality:
Kubernetes as Overkill for Small Projects: Many participants feel that Kubernetes, while powerful, introduces unnecessary complexity for small-scale applications or MVPs. For these, simpler solutions like Docker Compose or Docker Swarm are often sufficient, as they are easier to set up and manage. Kubernetes, with its many features and configurations, can be overwhelming for smaller projects where ease of use and quick deployments are priorities.
Kubernetes for Scaling and Reliability: On the other hand, Kubernetes shines when a project grows. It offers resilience, scaling, and high availability, features that are beneficial for applications expecting growth and complexity. However, for early-stage startups or projects that are not yet dealing with massive traffic, the extensive configuration and management overhead of Kubernetes can be seen as premature.
Kubernetes as a "Docker Compose++": Several contributors suggest using a more streamlined version of Kubernetes, such as k3s, which simplifies setup and deployment while providing many Kubernetes benefits. This approach enables handling workloads, services, and ingress with minimal complexity compared to full-scale Kubernetes setups.
CI/CD and Automation: Automation is another big benefit of Kubernetes setups, especially in terms of zero-downtime deployments, log management, and automated scaling. For developers, this can significantly improve the development and deployment experience, though it's acknowledged that this comes with an initial learning curve.
Simplified Setup and Tools: For many, tools like Helm, GKE (Google Kubernetes Engine), and integrations like cert-manager, nginx-ingress, and Grafana make Kubernetes manageable. Some find the right balance by using managed Kubernetes services, avoiding the need to deal with complex configurations while still benefiting from Kubernetes’ power. The advice here is to keep things simple initially and only scale up Kubernetes complexity when truly necessary.
Cloud vs. Self-Hosting: There's also a debate on cloud services versus self-hosting. Services like Google Cloud Run or AWS Fargate offer simplified container management with automatic scaling and minimal server management, making them appealing for those who don’t want to manage the infrastructure themselves. In contrast, self-hosted solutions, while offering more control and lower cost, require more effort in setup and maintenance, especially when managing tasks like TLS, scaling, and logging.
Alternative Solutions: Some contributors suggest alternatives to full Kubernetes clusters for scaling, such as Docker Swarm, HashiCorp Nomad, or even simple VPS configurations with lightweight reverse proxies like Caddy. These tools can handle certain production needs without the overhead of Kubernetes, making them better for simpler projects or when minimizing operational overhead is a priority.
Kubernetes' Suitability for Growth: Once a startup or project reaches a larger scale, particularly as the number of daily users grows, the need for Kubernetes becomes more evident. The system is designed for handling large-scale applications with high availability, automatic scaling, and management of distributed services. However, at an early stage, such scalability may not be necessary, and simpler architectures may suffice.
Cost Considerations: Managed services are often seen as costly compared to self-hosted options, especially with providers like Hetzner, which can offer cheaper alternatives to cloud services. The cost of cloud services such as AWS and GCP is criticized, especially when managing simpler infrastructure, where dedicated servers may provide better value.
Pragmatic Approach: Ultimately, the consensus leans towards starting with simplicity and scaling only when necessary. Kubernetes is seen as a valuable tool, but often overkill for initial stages of product development. Many businesses may only need basic orchestration and deployment tools, reserving Kubernetes for later stages once scaling becomes a real concern.
In summary, the conversation reveals a nuanced view of Kubernetes—while it is powerful and ideal for large-scale, complex applications, it is often excessive for small businesses or early-stage startups. Simpler solutions like Docker Compose or lightweight Kubernetes distros (e.g., k3s) are often more than sufficient for many use cases, with Kubernetes becoming more relevant as the business grows and faces higher scalability demands.