Search for a command to run...
AWS S3 Standard vs S3 Directory bucket
A Software Product Engineer, Cloud enthusiast | Blogger | DevOps | SRE | Python Developer. I usually automate my day-to-day stuff and Blog my experience on challenging items.
No comments yet. Be the first to comment.
The way we consume tech content has changed - my blog is changing with it. Introducing the Prompts series.
Deep metrics, log shipping, and a ready dashboard before your performance test starts - plus the war story of why it matters.
One prompt that lets an LLM read, draft, and publish on your Hashnode blog - token stays safe in an env var.
Hello All, If you've been running Argo CD on EKS, you know the drill — install the helm chart, manage the controllers, handle upgrades, configure SSO, worry about HA, and repeat for every cluster. It'
Introduction If you've spent any time managing data pipelines in the real world, you know the pain of deploying changes manually — copy-pasting notebooks, praying nothing breaks in prod, and maintaini
Amazon S3 is often the starting point for anyone embarking on their AWS cloud journey, and it was my initial experience with AWS as well.
Since its inception in 2006, S3 has undergone significant evolution. From offering a range of bucket classifications like Standard and Glacier to implementing zonal replications and versatile access policies, the advancements have been noteworthy.
One of the more recent additions is the concept of mount points for S3, which further enhances its functionality.
You can learn more about this development here: [Mountpoint for Amazon S3]
Another exciting feature recently introduced is "Directory Buckets." This addition to the S3 lineup offers even more flexibility and options for managing cloud storage efficiently.
S3 has now been categorized into two main types:
1. General Purpose Buckets
2. Directory Buckets
Let's explore what Directory Buckets are all about.
This advanced storage class stands out with three key features:
- Single-digit millisecond first byte latency for compute-intensive and latency-sensitive applications
- Consistent performance eliminates tail latencies, driving down query times
- Data access speeds up to 10x faster, and requested costs up to 50% lower than S3 standard.
Points to consider:
These buckets has naming standards
More details here: https://docs.aws.amazon.com/AmazonS3/latest/userguide/directory-bucket-naming-rules.html
Points to Consider during design:
This is one zone s3 storage so, in times of outage there will be dataloss or unavailability
Directory buckets store data across multiple devices within a single Availability Zone
Thank you!!!
