What is Amazon Route 53 and what are its top alternatives?
Top Alternatives to Amazon Route 53
Go Daddy makes registering Domain Names fast, simple, and affordable. It is a trusted domain registrar that empowers people with creative ideas to succeed online. ...
- Google Cloud DNS
Use Google's infrastructure for production quality, high volume DNS serving. Your users will have reliable, low-latency access to Google's infrastructure from anywhere in the world using our network of Anycast name servers. ...
Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet. ...
- Google Domains
It is a domain registration service which includes top website builders. The privacy is included at no additional cost. It also includes simple domain management tools. ...
We provide a set of DNS servers spread across the US and Europe to deliver highly reliable DNS services to everyone. By choosing Namecheap.com as your domain registrar, you are choosing a highly reputable and reliable partner. Namecheap.com is rated 4.6 out of 5 - Based on 1,395 reviews via Google Checkout ...
- Amazon S3
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 ...
If you've ever shopped online, downloaded music, watched a web video or connected to work remotely, you've probably used Akamai's cloud platform. Akamai helps businesses connect the hyperconnected, empowering them to transform and reinvent their business online. We remove the complexities of technology, so you can focus on driving your business faster forward. ...
- DNS Made Easy
DNS Made Easy is a subsidiary of Tiggee LLC, and is a world leader in providing global IP Anycast enterprise DNS services. DNS Made Easy is currently ranked the fastest provider for 8 consecutive months and the most reliable provider. ...
Amazon Route 53 alternatives & related posts
- Flexible payment methods for domains7
- .io support3
- Constantly trying to upsell you2
- Not a great UI1
related GoDaddy posts
- Backed by Google9
- High volume4
- Anycast DNS servers3
- Lack of privacy2
- Backed by Google1
related Google Cloud DNS posts
- Easy setup, great cdn420
- Free ssl272
- Easy setup196
- Great cdn96
- Great UI43
- Great js cdn28
- DNS Analytics11
- HTTP/2 Support11
- Rocket Loader8
- IPv6 "One Click"7
- Nice DNS6
- Fantastic CDN service6
- Cheapest SSL6
- Amazing performance6
- Free GeoIP6
- 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.
- Minimalist Design2
- Great support1
- Easy website builder integration1
- It takes long time for DNS propagation1
related Google Domains posts
- Free privacy protection9
- Awesome customer support6
- Free email forwarding5
- Free custom DNS3
- Premium DNS1
- 24/7 Customer Support1
related Namecheap 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.