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Infrastructure? Git? Documentation? What About Databases?

DevOps engineers tend to automate everything. We automate deployments, infrastructure, cloud formation, and other artifacts. We try to keep everything as code and automate with CI/CD. This includes infrastructure, configurations, or even documentation. What about databases? Let’s see what we need and how Metis helps us put database performance in CI/CD.
Published on
August 22, 2024
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Contributors
Adam Furmanek
Dev Rel
Metis Team
See how Metis can make your database 3x faster and 50% cheaper!

DevOps engineers tend to automate everything. We automate deployments, infrastructure, cloud formation, and other artifacts. We try to keep everything as code and automate with CI/CD. This includes infrastructure, configurations, or even documentation. What about databases? Let’s see what we need and how Metis helps us put database performance in CI/CD.

Keeping Database Performance in CI/CD

Many factors influence the performance of a database. Foremost among these is the technique we use to query the data. For instance, Common Table Expressions (CTEs) might be slower compared to less readable code with duplications. Using multiple joins can exponentially increase the number of rows extracted from the database. Additionally, while cursors offer great flexibility, they can severely impact performance.

Indexes are another crucial element. While popular B-tree-based indexes are common, there are also text-oriented indexes with trigrams or those supporting machine learning and vector databases.

Optimization engine efficiency also plays a role in performance. Techniques such as reordering filters, modifying the use of user-defined functions, or splitting a single query into multiple ones and then uniting their results can produce faster execution plans.

When it comes to schemas, various strategies exist for normalizing or denormalizing data. Options include using 3NF or a snowflake schema, among others. Depending on the specific use case, tables might be split into many or combined and stored as JSON blobs. These choices heavily depend on the domain and application.

Regardless of the techniques chosen, it's essential to have tools to assist us. Just as we use compilers and static code analysis to prevent simple mistakes, we need tools to analyze our queries, schemas, and configurations and provide automated insights. One tool that offers all these capabilities is Metis. Let's explore how it helps developers create faster queries and better schemas.

Improve Queries and Schemas with Metis

Metis offers actionable code improvements for all your queries. It neatly summarizes the events and provides immediate solutions for fixing issues:

Metis gives actionable insights with explanations:

Metis can also visualize the queries for you:

Metis utilizes AI solutions to improve your queries and make sure they run faster:

Metis does all of that in your developer environment, so you don’t even need to commit the code to immediately know if your queries are going to work well in your production database.

Metis analyzes other things as well. It checks your tables:

Metis also verifies that your indexes are used efficiently:

Metis covers your configurations:

Last but not least, Metis gives you insights into how your database performs:

You can keep track of everything that happens in your database with live queries:

Metis gives you everything you need to tune your queries and make your schemas better.

Automate Your Database Performance with Metis

Metis provides everything you need to enhance your query performance and improve your schemas. It offers actionable code improvements, schema analysis, index coverage, and AI-based suggestions for optimizing your queries. Metis is the only tool that guides you through the entire optimization process. Try it today and make your databases faster.

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