Skip to content

Commit 241ceb5

Browse files
committed
fix: grammar issues in the blog
1 parent aa799db commit 241ceb5

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

content/blog/clickhouse-benchmarking.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -7,10 +7,10 @@ featured: true
77
weight: 1
88
---
99

10-
"Imagine being a Formula One driver, racing at breakneck speeds, but without any telemetry data to guide you. It’s a thrilling ride, but one wrong turn or overheating engine could lead to disaster. Just like a pit crew relies on performance metrics to optimize the car's speed and handling, we utilize observability in ClickHouse to monitor our data system's health. These metrics provide crucial insights, allowing us to identify bottlenecks, prevent outages, and fine-tune performance, ensuring our data engine runs as smoothly and efficiently as a championship-winning race car."
10+
"Imagine being a Formula One driver, racing at breakneck speeds, but without any telemetry data to guide you. It’s a thrilling ride, but one wrong turn or overheating engine could lead to disaster. Just like a pit crew relies on performance metrics to optimize the car's speed and handling, we use observability in ClickHouse to monitor our data system's health. These metrics provide crucial insights, allowing us to identify bottlenecks, prevent outages, and fine-tune performance, ensuring our data engine runs as smoothly and efficiently as a championship-winning race car."
1111

1212
<p align="center">
13-
<img width="480" height="600" src="/images/blog/clickhouse-benchmarking/clickhouse-storage.jpeg" alt="Clickhouse Storage">
13+
<img width="480" height="600" src="/images/blog/clickhouse-benchmarking/clickhouse-storage.jpeg" alt="ClickHouse Storage">
1414
</p>
1515

1616
In this blog, we'll dive into the process of deploying ClickHouse on AWS Elastic Container Service (ECS). We’ll also look at performance benchmarking to evaluate ClickHouse as a high-performance log storage backend. Our focus will be on its ingestion rates, query performance, scalability, and resource utilization.

0 commit comments

Comments
 (0)