What is Scaleway and what are its top alternatives?
Top Alternatives to Scaleway
- Hetzner Online AG
Hetzner Online is a professional web hosting provider and experienced data center operator. Since 1997 the company has provided private and business clients with high-performance hosting products as well as the necessary infrastructure for the efficient operation of websites. ...
- DigitalOcean
We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel. ...
- OVH
OVHcloud is a global cloud provider that specialises in delivering industry-leading performance and cost-effective solutions to better manage, secure, and scale data. The group manages 30 data centres across 12 sites in 4 continents, man ...
- Vultr
Strategically located in 16 datacenters around the globe and provides frictionless provisioning of public cloud, storage and single-tenant bare metal. ...
- Linode
Get a server running in minutes with your choice of Linux distro, resources, and node location. ...
- Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. ...
- Amazon Web Service
It is a comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. ...
- Google Cloud Platform
It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. ...
Scaleway alternatives & related posts
- Perfect for all needs7
- Great performance / $5
- Quick support5
- German Data-Center location4
- Ssh & vnc access4
- Hcloud3
related Hetzner Online AG posts
We use Hetzner Online AG since the inception of our business, because of the great prices, marvelous support and great interface (especially the new cloud interface). Other options that we tested are DigitalOcean (was more expensive than the new hetzner cloud and didn't offer "huge" dedicated servers), @Vultr (about the same issue as with DigitalOcean , although the prices were better), OVH (Prices, old interface, no "tiny" packages and [at least back at the day] only monthly payment) and Living Bots (Only dedicated servers, too expensive for our needs).
Hetzner offered the best spectrum of servers and has great prices and REALLY great prices in the server auctions.
DigitalOcean
- Great value for money560
- Simple dashboard364
- Good pricing362
- Ssds300
- Nice ui250
- Easy configuration191
- Great documentation156
- Ssh access138
- Great community135
- Ubuntu24
- Docker13
- IPv6 support12
- Private networking10
- 99.99% uptime SLA8
- Simple API7
- Great tutorials7
- 55 Second Provisioning6
- One Click Applications5
- Dokku4
- Node.js4
- LAMP4
- Debian4
- CoreOS4
- 1Gb/sec Servers3
- Word Press3
- LEMP3
- Simple Control Panel3
- Mean3
- Ghost3
- Runs CoreOS2
- Quick and no nonsense service2
- Django2
- Good Tutorials2
- Speed2
- Ruby on Rails2
- GitLab2
- Hex Core machines with dedicated ECC Ram and RAID SSD s2
- CentOS1
- Spaces1
- KVM Virtualization1
- Amazing Hardware1
- Transfer Globally1
- Fedora1
- FreeBSD1
- Drupal1
- FreeBSD Amp1
- Magento1
- ownCloud1
- RedMine1
- My go to server provider1
- Ease and simplicity1
- Nice1
- Find it superfitting with my requirements (SSD, ssh.1
- Easy Setup1
- Cheap1
- Static IP1
- It's the easiest to get started for small projects1
- Automatic Backup1
- Great support1
- Quick and easy to set up1
- Servers on demand - literally1
- Reliability1
- Variety of services0
- Managed Kubernetes0
- No live support chat3
- Pricing3
related DigitalOcean posts
Hello, I'm currently writing an e-commerce website with Laravel and Laravel Nova (as an admin panel). I want to start deploying the app and created a DigitalOcean account. After some searches about the deployment process, I saw that the setup via DigitalOcean (using Droplets) isn't very easy for beginners. Now I'm not sure how to deploy my app. I am in between Laravel Forge and DigitalOcean (?Apps Platform or Droplets?). I've read that Heroku and Laravel Vapor are a bit expensive. That's why I didn't consider them yet. I'd be happy to read your opinions on that topic!
Hi, I'm a beginner at using MySQL, I currently deployed my crud app on Heroku using the ClearDB add-on. I didn't see that coming, but the increased value of the primary key instead of being 1 is set to 10, and I cannot find a way to change it. Now I`m considering switching and deploying the full app and MySql to DigitalOcean any advice on that? Will I get the same issue? Thanks in advance!
- Cost effective57
- Dedicated Hardware34
- DDoS Protection29
- Unmetered Bandwidth27
- Fun9
- SSH root access6
- Low cost4
- Fast delivery4
- Own network4
- Openstack4
- ceph4
- Ip address fail over support1
- Incidents2
related OVH posts
We use Hetzner Online AG since the inception of our business, because of the great prices, marvelous support and great interface (especially the new cloud interface). Other options that we tested are DigitalOcean (was more expensive than the new hetzner cloud and didn't offer "huge" dedicated servers), @Vultr (about the same issue as with DigitalOcean , although the prices were better), OVH (Prices, old interface, no "tiny" packages and [at least back at the day] only monthly payment) and Living Bots (Only dedicated servers, too expensive for our needs).
Hetzner offered the best spectrum of servers and has great prices and REALLY great prices in the server auctions.
Hosting updown.io started with a single OVH server and quickly grew to more server, first it was DigitalOcean VMs and we were very satisfied about them. But we then noticed some shortcomings about #IPv6 networking, although DigitalOcean supports it they don't provide the standard IP range to each VM (by choice) and thus have to block port 25 to avoid other machines being blocked in case of spammer. This is not good for us it means we can't monitor IPv6 SMTP servers properly, that's why we switched to @Vultr (one of their main competitors) which provides similar prices, more locations, and true IPv6 support with no blocked ports. Of course they offer less tools and the support is probably better at DigitalOcean but so far we're happy with @Vultr.
We still use some @OVH servers (which offers tremendous price/performance ratio) for the main web and database server + 2 of the daemons. In addition to this, we also have 2 DigitalOcean VMs for the secondary web and database server and for the automatic TLS termination proxy used to automatically issue Let's Encrypt certs for status page custom domains (for these servers the IPv6 port block is not an issue)
- <a href="https://hostandprotect.com/">secure</a>3
- Affordable2
- Cloud Based2
related Vultr posts
For those needing hosting on Windows or Windows Server too (and avoiding licensing hurdles), both Vultr and Amazon LightSail offer compelling choices, depending on how much compute power you need. Don't underestimate Amazon LightSail, especially for smaller or starting projects, but Vultr also offers an incremental $16 Windows option on top of their standard compute offerings.
- Extremely reliable100
- Good value70
- Great customer support60
- Easy to configure58
- Great documentation37
- Servers across the world24
- Managed/hosted DNS service18
- Simple ui15
- Network and CPU usage graphs11
- IPv6 support7
- Multiple IP address support6
- Good price, good cusomter sevice3
- Ssh access3
- IP address fail over support2
- SSH root access2
- Great performance compared to EC2 or DO1
- It runs apps with speed1
- Best customizable VPS1
- Latest kernels1
- Cheapest1
- Ssds1
- No "floating IP" support2
related Linode posts
What is the data transfer out cost (Bandwidth cost) on Linode compared to Microsoft Azure?
- Quick and reliable cloud servers647
- Scalability515
- Easy management393
- Low cost277
- Auto-scaling270
- Market leader89
- Backed by amazon80
- Reliable79
- Free tier67
- Easy management, scalability58
- Flexible13
- Easy to Start10
- Widely used9
- Web-scale9
- Elastic9
- Node.js API7
- Industry Standard5
- Lots of configuration options4
- GPU instances2
- Extremely simple to use1
- Amazing for individuals1
- All the Open Source CLI tools you could want.1
- Simpler to understand and learn1
- Ui could use a lot of work13
- High learning curve when compared to PaaS6
- Extremely poor CPU performance3
related Amazon EC2 posts
To provide employees with the critical need of interactive querying, we’ve worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest’s scale has involved resolving quite a few challenges like, supporting deeply nested and huge thrift schemas, slow/ bad worker detection and remediation, auto-scaling cluster, graceful cluster shutdown and impersonation support for ldap authenticator.
Our infrastructure is built on top of Amazon EC2 and we leverage Amazon S3 for storing our data. This separates compute and storage layers, and allows multiple compute clusters to share the S3 data.
We have hundreds of petabytes of data and tens of thousands of Apache Hive tables. Our Presto clusters are comprised of a fleet of 450 r4.8xl EC2 instances. Presto clusters together have over 100 TBs of memory and 14K vcpu cores. Within Pinterest, we have close to more than 1,000 monthly active users (out of total 1,600+ Pinterest employees) using Presto, who run about 400K queries on these clusters per month.
Each query submitted to Presto cluster is logged to a Kafka topic via Singer. Singer is a logging agent built at Pinterest and we talked about it in a previous post. Each query is logged when it is submitted and when it finishes. When a Presto cluster crashes, we will have query submitted events without corresponding query finished events. These events enable us to capture the effect of cluster crashes over time.
Each Presto cluster at Pinterest has workers on a mix of dedicated AWS EC2 instances and Kubernetes pods. Kubernetes platform provides us with the capability to add and remove workers from a Presto cluster very quickly. The best-case latency on bringing up a new worker on Kubernetes is less than a minute. However, when the Kubernetes cluster itself is out of resources and needs to scale up, it can take up to ten minutes. Some other advantages of deploying on Kubernetes platform is that our Presto deployment becomes agnostic of cloud vendor, instance types, OS, etc.
#BigData #AWS #DataScience #DataEngineering
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
related Amazon Web Service posts
- Good app Marketplace for Beginner and Advanced User5
- 1 year free trial credit USD3004
- Premium tier IP address3
- Live chat support3
- Cheap3
related Google Cloud Platform posts
My days of using Firebase are over! I want to move to something scalable and possibly less cheap. In the past seven days I have done my research on what type of DB best fits my needs, and have chosen to go with the nonrelational DB; MongoDB. Although I understand it, I need help understanding how to set up the architecture. I have the client app (Flutter/ Dart) that would make HTTP requests to the web server (node/express), and from there the webserver would query data from MongoDB.
How should I go about hosting the web server and MongoDb; do they have to be hosted together (this is where a lot of my confusion is)? Based on the research I've done, it seems like the standard practice would be to host on a VM provided by services such as Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc. If there are better ways, such as possibly self-hosting (more responsibility), should I? Anyways, I just want to confirm with a community (you guys) to make sure I do this right, all input is highly appreciated.
I am currently working on a long term mobile app project. Current stack: Frontend: Dart/Flutter Backend: Go, AWS Resources (AWS Lambda, Amazon DynamoDB, etc.) Since there are only two developers and we have limited time and resources, we are looking for a BAAS like Firebase or AWS Amplify to handle auth and push notifications for now. We are prioritizing developing speed so we can iterate quickly. The only problem is that AWS amplify support for flutter is in developer preview and has limited capabilities (We have tested it out in our app). Firebase is the more mature option. It has great support for flutter and has more than we need for auth, notifications, etc. My question is that, if we choose firebase, we would be stuck with using two different cloud providers. Is this bad, or is this even a problem? I am willing to change anything on the backend architecture wise, so any suggestions would be greatly appreciated as I am somewhat unfamiliar with Google Cloud Platform. Thank you.