What is DigitalOcean Spaces and what are its top alternatives?
Top Alternatives to DigitalOcean Spaces
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web ...
Google Cloud Storage
Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure. ...
DigitalOcean Block Storage
Add more storage space, mix and match compute and storage to suit your database, file storage, application, service, mobile, and backup needs. ...
Harness the power of Dropbox. Connect to an account, upload, download, search, and more. ...
Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet. ...
Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage. ...
Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud. ...
Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License ...
DigitalOcean Spaces alternatives & related posts
- Simple & easy328
- Many sdks83
- Easy Setup12
- 1000+ POPs11
- REST API10
- Web UI for uploading files2
- Plug and play2
- GDPR ready1
- Faster on response1
- Easy to use1
- Easy integration with CloudFront1
- Permissions take some time to get right7
- Takes time/work to organize buckets & folders properly6
- Requires a credit card5
- Complex to set up3
related Amazon S3 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.
- More praticlal and easy1
related Google Cloud Storage posts
In #Aliadoc, we're exploring the crowdfunding option to get traction before launch. We are building a SaaS platform for website design customization.
For the Admin UI and website editor we use React and we're currently transitioning from a Create React App setup to a custom one because our needs have become more specific. We use CloudFlare as much as possible, it's a great service.
For routing dynamic resources and proxy tasks to feed websites to the editor we leverage CloudFlare Workers for improved responsiveness. We use Firebase for our hosting needs and user authentication while also using several Cloud Functions for Firebase to interact with other services along with Google App Engine and Google Cloud Storage, but also the Real Time Database is on the radar for collaborative website editing.
We generally hate configuration but honestly because of the stage of our project we lack resources for doing heavy sysops work. So we are basically just relying on Serverless technologies as much as we can to do all server side processing.
Visual Studio Code definitively makes programming a much easier and enjoyable task, we just love it. We combine it with Bitbucket for our source code control needs.
- Easy to use1
related DigitalOcean Block Storage posts
- Easy to work with432
- Shared file hosting175
- 'just works'168
- No brainer100
- Integration with external services79
- Good api49
- Least cost (free) for the basic needs case38
- It just works10
- Accessible from all of my devices6
- Command Line client5
- Can even be used by your grandma3
- Synchronizing laptop and desktop - work anywhere3
- Mac app3
- Sync API3
- Beautiful UI2
- Ability to pay monthly without losing your files2
- Extended version history2
- Delta synchronization2
- Cross platform app2
- YC Company1
- What a beautiful app1
- The more the merrier1
- So easy1
- For when client needs file without opening firewall1
- Easy/no setup1
- Easy to work with1
- Everybody needs to share and synchronize files reliabl1
- Everybody needs to share and synchronize files reliably1
- Backups, local and cloud1
- Easy to use1
- The more the merrier0
- Personal vs company account is confusing3
- Replication kills CPU and battery1
related Dropbox posts
Anyone recommend a good connector like Kloudless for connecting a SaaS app to Dropbox/Box etc? Cheers
We originally used Dropbox as an easy way to store and share documents, but moved to the much more powerful and convenient Google Drive, although we still use Dropbox occasionally.
- Easy setup, great cdn420
- Free ssl274
- Easy setup196
- Great cdn94
- Great UI43
- Great js cdn28
- HTTP/2 Support11
- DNS Analytics11
- Rocket Loader8
- IPv6 "One Click"7
- Free GeoIP6
- Fantastic CDN service6
- Nice DNS6
- Cheapest SSL6
- Amazing performance6
- Free and reliable, Faster then anyone else5
- Asynchronous resource loading4
- Easy Use3
- Global Load Balancing3
- Support for SSHFP records1
- Expensive when you exceed their fair usage limits1
- No support for SSHFP records1
related CloudFlare posts
When I first built my portfolio I used GitHub for the source control and deployed directly to Netlify on a push to master. This was a perfect setup, I didn't need any knowledge about #DevOps or anything, it was all just done for me.
Over the weekend I decided I wanted to know more about how #DevOps worked so I decided to switch from Netlify to Amazon S3. Instead of creating any #Git Webhooks I decided to use Buddy for my pipeline and to run commands. Buddy is a fantastic tool, very easy to setup builds, copying the files to my Amazon S3 bucket, then running some #AWS console commands to set the
When I made these changes I also wanted to monitor my code, and make sure I was keeping up with the best practices so I implemented Code Climate to look over my code and tell me where there
other issues I've been super happy with it so far, on the free tier so its also free.
I did plan on using Amazon CloudFront for my SSL and cacheing, however it was overly complex to setup and it costs money. So I decided to go with the free tier of CloudFlare and it is amazing, best choice I've made for caching / SSL in a long time.
I recently moved my portfolio to Amazon S3 and I needed a new way to cache and SSL my site as Amazon S3 does not come with this right out of the box. I tried Amazon CloudFront as I was already on Amazon S3 I thought this would be super easy and straight forward to setup... It was not, I was unable to get this working even though I followed all the online steps and even reached out for help to Amazon.
I'd used CloudFlare in the past, and thought let me see if I can set up CloudFlare on an Amazon S3 bucket. The setup for this was so basic and easy... I had it setup with caching and SSL within 5 minutes, and it was 100% free.
- Point-in-time snapshots36
- Data reliability27
- Configurable i/o performance19
related Amazon EBS posts
We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.
We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.
We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.
You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?
- All-in-one storage solution23
- Pay only for data used regardless of disk size15
- Shared drive mapping9
- Cheapest hot and cloud storage2
- Direct support is not provided by Azure storage2
related Azure Storage posts
- Store and Serve Resumes & Job Description PDF, Backups8
- S3 Compatible5
- Open Source4
- Encryption and Tamper-Proof3
- Highly Available2
- Pluggable Storage Backend2
- Lambda Compute2
- Private Cloud Storage2
- Data Protection2
- Deletion of huge buckets is not possible2