Improve web app user happiness by optimizing database speed with Microsoft Azure logs.

Improve customer satisfaction for web apps by optimizing database performance using logs from Microsoft Azure

Owners of web apps should always prioritize customer pleasure. A fast and highly responsive user interface is crucial for consumer happiness. The databases that support these apps are now frequently run as managed services by cloud providers. These cloud applications have become the norm. Optimizing cloud services can be challenging because logs, analytics, and traces aren’t always put together in context. You don’t have access to the underlying hosts. 

Optimize database performance

The most fundamental property of a database is constantly busy with user requests. Not only do stored datasets change, but so do web application queries. Small database changes can have a significant influence on overall application performance. Analyzing the sluggish query log is a basic yet practical approach to high-performance testing databases. This log file keeps track of all queries that have surpassed a pre-determined (manually) time limit.

It’s simple on-premises, but access to the underlying host is frequently unavailable when databases run as a managed service in the cloud. Despite this, logs are typically available on cloud consoles, albeit records alone are insufficient for helpful analysis.

One place to rule them all

All of the data needed for a study should ideally be available. All necessary logs, as well as relevant telemetry, should already be in place. The removal and availability of all of this data save time and improve the interpretation of unstructured data.

Enable agentless log ingestion

You must create additional resources in your Azure account to enable agentless log ingestion. Now all you have to do is run the script we’ve prepared. It is transparent and secure because everything on GitHub is open-source.

After installing the forwarding components, you may pick which logs to forward. You can raise the threshold for slow query logging in the Azure Database for MySQL. In the Diagnostics settings of your database instance, you can add an option to send MySqlSlowLogs to an event hub. It is a fantastic method to cut money while gaining access to crucial data.

Use custom metrics based on logs for constant optimization.

To demonstrate the value of custom metrics based on logs, assume your web application is increasing slowly over time. This drop in performance is well-known. Some queries on a managed cloud service database are performing slower than intended, according to an automatic root cause investigation. For the following analysis, the slow query log requires.

You can use facets and the timeframe during which the incident happened to filter for sluggish query log entries in your database in the log viewer. Faulty queries can be identified quickly and can take corrective steps. You may also create a metric that collects data on your slow questions to determine which ones need improvement. 

Log monitoring beyond cloud platform databases

For most Azure platform services, you can send resource-specific logs and audit logs via the EventHub. For easy troubleshooting, record the entities you’re watching. If your App Service has a high Failure rate, you can go straight to the log viewer by selecting the Logs icon. The log viewer automatically creates filters for your resource, allowing you to diagnose the issue quickly.

About Enteros

Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.