google-cloud-cpp VS python-fake-data-producer-for-apache-kafka

Assuming you have Google Cloud account and installed gcloud CLI.

In 2008, Google launched AppEngine. This product predates the formal existence of Google Cloud and can be considered Google Cloud's first offering.

In this article, you'll learn how to set up the NetBird CLI to ensure a secure connection to a Kubernetes cluster on the Google Cloud Platform (GCP), complete with a fail-safe route for uninterrupted access.

Try to utilize your AWS free tier as much as you can, you can also register a new account if you have exhausted the current one. Alternatively, you can use Google Cloud (GCP) to rent virtual machines from this cloud service provider - you can get $300 credit here or here (NOTE: Please read instructions carefully to get your credits)

A VM is the original “hosting” product of the cloud era. Over the last 20 years, VM providers have come and gone, as have enterprise virtualization solutions such as VMware. Today you can do this somewhere like OVHcloud, Hetzner or DigitalOcean, which took over the “server” market from the early 2000’s. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft's Azure also offer VMs, at a less competitive price. In their case, the VMs are either a building block for other services or the value is in the ecosystem. See the section on public cloud below for more.

But I sus on a webpage: cloud.google.com

If you don't already have a GCP account, visit the Google Cloud Platform website (https://cloud.google.com or https://cloud.google.com/gcp/) and sign up for a GCP account.

Google Cloud Platform Account: You'll need a GCP account. If you don't have one, you can sign up here.

An AWS, GCP or Azure account (your choice)

That is what the YAML is for. Securely send data to a specific cloud service ( AWS, Google Cloud, Azure ). They call the whole process, CI/CD, deployment, etc etc etc. (Hey picky, I know they are not the same, but they kind of are.)

I have the luxury of working for Aiven which provides professionals an integrated platform for all their data needs. In the last three years I witnessed the growth of the platform and its evolution with the clear objective to make it better usable at scale. Tooling like integrations, Terraform providers and the Console facilitate the work that platform administrators have to perform on daily basis.

I had good experience with Aiven in the past, we needed something located in the EU: https://aiven.io/

Access to Aiven

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.

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/)

Fake data utility - https://github.com/aiven/python-fake-data-producer-for-apache-kafka

For PostgreSQL, similar offerings are: * Google Cloud SQL * AWS RDS * Digital Ocean Postgres * Azure Database for Postgres * Aiven, Instaclustr etc

Aiven - https://aiven.io/

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.