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# ![@BenjDicken Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1761964147510767616.png) @BenjDicken Ben Dicken

Ben Dicken posts on X about clickhouse, $googl, $380mo, $3600mo the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.

### Engagements: XXX [#](/creator/twitter::1761964147510767616/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1761964147510767616/c:line/m:interactions.svg)

- X Week XXXXXXX +985%
- X Month XXXXXXXXX +7,281%
- X Months XXXXXXXXX -XX%
- X Year XXXXXXXXXX +228,346%

### Mentions: X [#](/creator/twitter::1761964147510767616/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1761964147510767616/c:line/m:posts_active.svg)

- X Week XX +200%
- X Month XX +33%
- X Months XX +43%

### Followers: XXXXX [#](/creator/twitter::1761964147510767616/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1761964147510767616/c:line/m:followers.svg)

- X Week XXXXX +2.30%
- X Month XXXXX +22%
- X Months XXXXX +55%
- X Year XXXXX +1,324%

### CreatorRank: XXXXXXXXX [#](/creator/twitter::1761964147510767616/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1761964147510767616/c:line/m:influencer_rank.svg)

### Social Influence [#](/creator/twitter::1761964147510767616/influence)
---

**Social category influence**
[technology brands](/list/technology-brands)  XXXXX% [stocks](/list/stocks)  XXXX%

**Social topic influence**
[clickhouse](/topic/clickhouse) 5.88%, [$googl](/topic/$googl) 5.88%, [$380mo](/topic/$380mo) 5.88%, [$3600mo](/topic/$3600mo) XXXX%

**Top accounts mentioned or mentioned by**
[@chris14978335](/creator/undefined) [@richobray](/creator/undefined) [@erikhofvander](/creator/undefined) [@terrorobe](/creator/undefined) [@rixer_inc](/creator/undefined) [@tylerhillery](/creator/undefined) [@rixerinc](/creator/undefined) [@emrahdma](/creator/undefined) [@planetscale](/creator/undefined) [@mitsuhiko](/creator/undefined) [@jarredsumner](/creator/undefined) [@toniievych](/creator/undefined) [@dizzzmas](/creator/undefined) [@_tylerhillery](/creator/undefined) [@0x15f](/creator/undefined)

**Top assets mentioned**
[Alphabet Inc Class A (GOOGL)](/topic/$googl)
### Top Social Posts [#](/creator/twitter::1761964147510767616/posts)
---
Top posts by engagements in the last XX hours

"Today I'm reading the original log-structured merge-tree paper. LSM trees were designed to reduce IO cost for high-volume write-heavy database workloads. This came out in 1996 and today it's widely used by databases like DynamoDB ClickHouse and Google Bigtable"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1937553103299203345) 2025-06-24 16:47:12 UTC 9834 followers, 15.1K engagements


"io2 on the other hand offers excellent performance and great durability but it has a huge price tag. EG: 1tb io2 ebs volume with 64k iops = $3600/mo i7ie.xlarge with 2.5tb ssd and 100k iops = $380/mo"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1947344515179942090) 2025-07-21 17:14:46 UTC 9834 followers, XXX engagements


"Many cloud databases run on network-attached storage the most popular of which is AWS EBS specifically gp3 and io2. The larger IOPS max you set the more you pay"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1947344511899996664) 2025-07-21 17:14:46 UTC 9833 followers, 1004 engagements


"LSM trees use multiple layers and batched writes to improve efficiency. Data is first inserted into the sequential log (for recovery) and an in-memory tree. It only gets persisted to the on-disk B-tree in sequential batches"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1937556932614848914) 2025-06-24 17:02:25 UTC 9807 followers, XXX engagements


"@rixer_inc If your entire database can fit in RAM you won't notice as much of a difference except for writes. But this is rarely the case for large-scale databases"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1947671361360732621) 2025-07-22 14:53:33 UTC 9820 followers, XXX engagements


"IOPS capacity is a critical consideration for high-performance databases. Yet many don't understand what they are how they impact performance and their costs. Let's take deep dive: What are IOPS"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1947344505864393205) 2025-07-21 17:14:44 UTC 9834 followers, 17.1K engagements


"The latency between even two "nearby" regions like us-east X and X is 18ms. us-east-1 to us-west-1 is closer to 60ms. This advice is spot on. Do yourself a favor and keep your database in the same region as your other infra. Better yet same AZ"  
![@BenjDicken Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::1761964147510767616.png) [@BenjDicken](/creator/x/BenjDicken) on [X](/post/tweet/1947641754640941353) 2025-07-22 12:55:54 UTC 9834 followers, 178.2K engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@BenjDicken Avatar @BenjDicken Ben Dicken

Ben Dicken posts on X about clickhouse, $googl, $380mo, $3600mo the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.

Engagements: XXX #

Engagements Line Chart

  • X Week XXXXXXX +985%
  • X Month XXXXXXXXX +7,281%
  • X Months XXXXXXXXX -XX%
  • X Year XXXXXXXXXX +228,346%

Mentions: X #

Mentions Line Chart

  • X Week XX +200%
  • X Month XX +33%
  • X Months XX +43%

Followers: XXXXX #

Followers Line Chart

  • X Week XXXXX +2.30%
  • X Month XXXXX +22%
  • X Months XXXXX +55%
  • X Year XXXXX +1,324%

CreatorRank: XXXXXXXXX #

CreatorRank Line Chart

Social Influence #


Social category influence technology brands XXXXX% stocks XXXX%

Social topic influence clickhouse 5.88%, $googl 5.88%, $380mo 5.88%, $3600mo XXXX%

Top accounts mentioned or mentioned by @chris14978335 @richobray @erikhofvander @terrorobe @rixer_inc @tylerhillery @rixerinc @emrahdma @planetscale @mitsuhiko @jarredsumner @toniievych @dizzzmas @_tylerhillery @0x15f

Top assets mentioned Alphabet Inc Class A (GOOGL)

Top Social Posts #


Top posts by engagements in the last XX hours

"Today I'm reading the original log-structured merge-tree paper. LSM trees were designed to reduce IO cost for high-volume write-heavy database workloads. This came out in 1996 and today it's widely used by databases like DynamoDB ClickHouse and Google Bigtable"
@BenjDicken Avatar @BenjDicken on X 2025-06-24 16:47:12 UTC 9834 followers, 15.1K engagements

"io2 on the other hand offers excellent performance and great durability but it has a huge price tag. EG: 1tb io2 ebs volume with 64k iops = $3600/mo i7ie.xlarge with 2.5tb ssd and 100k iops = $380/mo"
@BenjDicken Avatar @BenjDicken on X 2025-07-21 17:14:46 UTC 9834 followers, XXX engagements

"Many cloud databases run on network-attached storage the most popular of which is AWS EBS specifically gp3 and io2. The larger IOPS max you set the more you pay"
@BenjDicken Avatar @BenjDicken on X 2025-07-21 17:14:46 UTC 9833 followers, 1004 engagements

"LSM trees use multiple layers and batched writes to improve efficiency. Data is first inserted into the sequential log (for recovery) and an in-memory tree. It only gets persisted to the on-disk B-tree in sequential batches"
@BenjDicken Avatar @BenjDicken on X 2025-06-24 17:02:25 UTC 9807 followers, XXX engagements

"@rixer_inc If your entire database can fit in RAM you won't notice as much of a difference except for writes. But this is rarely the case for large-scale databases"
@BenjDicken Avatar @BenjDicken on X 2025-07-22 14:53:33 UTC 9820 followers, XXX engagements

"IOPS capacity is a critical consideration for high-performance databases. Yet many don't understand what they are how they impact performance and their costs. Let's take deep dive: What are IOPS"
@BenjDicken Avatar @BenjDicken on X 2025-07-21 17:14:44 UTC 9834 followers, 17.1K engagements

"The latency between even two "nearby" regions like us-east X and X is 18ms. us-east-1 to us-west-1 is closer to 60ms. This advice is spot on. Do yourself a favor and keep your database in the same region as your other infra. Better yet same AZ"
@BenjDicken Avatar @BenjDicken on X 2025-07-22 12:55:54 UTC 9834 followers, 178.2K engagements

@BenjDicken
/creator/twitter::BenjDicken