kubeone
python-fake-data-producer-for-apache-kafka
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kubeone | python-fake-data-producer-for-apache-kafka | |
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7 | 32 | |
1,294 | 76 | |
1.9% | - | |
9.1 | 4.5 | |
6 days ago | 8 months ago | |
Go | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kubeone
- What's the most sane way to operate a K8s cluster?
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Anyone setup their own kubernetes cluster especially for their own SAAS ?
I would suggest KubeOne by Kubermatic, this works great on Hetzner Cloud and comes also bundled with machine deployments where you are able to autoscaler your worker nodes. Beside that it also installs additional tools like the Hetzner Cloud CSI drive and the Cloud Controller Manager. You can find at https://github.com/kubermatic/kubeone
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Hetzner continues its growth in the US with a new location
Kubeone on Hetzner is honestly one of the smoothest non-managed experiences I've ever had with Kubernetes - better than some managed ones. Includes all of the things Hetzner already provides for Kubernetes (so I'm sure they're working on their own) - internal networking support, load balancers, volumes. And you scale worker nodes with a CRD too.
https://github.com/kubermatic/kubeone/tree/main/examples/ter...
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Why is deploying kubernetes so hard
I have a GKE cluster running and two self-setup using https://github.com/kubermatic/kubeone for over a year now. Since no one named kubeone here, I'd like to give them a shout out for their great work. Actually the clusters are managed by kubeone and running them in Hetzner cloud even costs a 10th of GKE.
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hetzner cloud persistent storage
kubeone currently has the best out of the box experience on Hetzner imo.
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Is Oracle Cloud really a bad idea?
In that time thought I migrated to Hetzner Cloud and deployed a cluster using https://github.com/kubermatic/kubeone
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Automating multi-cloud cluster creation: What tool should i use?
kubermatic kubeone is open source and it can do what you need quite easily.
python-fake-data-producer-for-apache-kafka
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ElephantSQL Is Shutting Down
I had good experience with Aiven in the past, we needed something located in the EU: https://aiven.io/
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Crossplane: Streamline your infrastructure provisioning & management
Access to Aiven
- Google Cloud Spanner is now half the cost of Amazon DynamoDB
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Scale up: a MySQL bug story, or why Aiven works
One of the hardest questions we answer for our large enterprise customers is why they should choose Aiven instead of managing their own database and streaming services. It can seem counterintuitive that paying extra for a managed service can save you money. However, when we factor in economies of scale - particularly in regards to access to specialized knowledge and tooling - the case for managed services becomes clear. This was certainly the case for some of our MySQL clients earlier this year, where their investments in Aiven paid off in the form of a quietly managed bug fix.
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Flink CDC / alternatives
And Kafka + Kafka Connect has https://www.confluent.io/ https://aiven.io/ https://upstash.com/ (and not quite Kafka, but protocol-compatible, https://redpanda.com/)
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What are your favorite tools or components in the Kafka ecosystem?
Fake data utility - https://github.com/aiven/python-fake-data-producer-for-apache-kafka
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Do we have such a thing as Postgres Atlas?
For PostgreSQL, similar offerings are: * Google Cloud SQL * AWS RDS * Digital Ocean Postgres * Azure Database for Postgres * Aiven, Instaclustr etc
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Good database solution
Aiven - https://aiven.io/
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Why are we paying these folks - a tale of DevRel
Majority of companies layer DevRel on top of marketing as a sort of afterthought, and that’s usually a recipe for failure. All four co-founders at Aiven (the company where I work at) have been long-time open-source maintainers/contributors and highly value the work of DevRel. Similar examples can be seen at HashiCorp, where co-founder Armon Dadgar has been doing DevRel on the whiteboard since the early days of the company. Technical founders know the value of DevRel and know when to form a DevRel team. This is very different from bringing your first DevRel hire onboard and making them convince the leadership why the company needs DevRel in the first place. If your developer advocate needs to explain to the technical leadership the need for DevRel, that's a red flag for that individual and the company.
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Hetzner continues its growth in the US with a new location
I wonder when Aiven https://aiven.io/ (or something similar) will start supporting hetzner.
What are some alternatives?
cluster-api-provider-hetzner - Kubernetes Cluster API Provider Hetzner provides a consistent deployment and day 2 operations of "self-managed" Kubernetes clusters on Hetzner.
kafka-connect-opensky - Kafka Source Connector reading in from the OpenSky API
kubernetes - Production-Grade Container Scheduling and Management
OpenKP - Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural m
terraform-aws-eks-blueprints - Configure and deploy complete EKS clusters.
fake-data-producer-for-apache-kafka-docker - Fake Data Producer for Aiven for Apache Kafka® in a Docker Image
cuber-gem - An automation tool that simplify the deployment of your apps on Kubernetes.
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
etcd - Distributed reliable key-value store for the most critical data of a distributed system
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
hetzner-k3s - A CLI tool to create and manage Kubernetes clusters in Hetzner Cloud using the lightweight distribution k3s by Rancher.
demo-scene - 👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/