This question was raised at the recent Redgate Summit: How does the implementation of a microservices architecture affect the implementation of a database DevOps approach? I could even rephrase it a little: Does a microservices architecture affect a database DevOps approach?

Since 2018, over 2,400 SQL Server professionals have provided valuable insights into how they monitor and manage their estates, and what challenges they’re facing, through the only industry-wide survey of its kind. The results of the annual survey have not only benefited the community but also helped us better understand how we could shape our own product development to deliver more value where organizations need it.

There’s no doubt the cloud is having a big impact on the nature and make-up of SQL Server estates. The 2021 State of Database DevOps report from Redgate, for example, showed that 58% of organizations now use the cloud either wholly or in combination with on-premises servers, compared to 46% in the same report a year earlier.

Grafana is a popular way of monitoring and analysing data. You can use it to build dashboards for visualizing, analyzing, querying, and alerting on data when it meets certain conditions. In this post, we’ll look at an overview of integrating data sources with Grafana for visualizations and analysis, connecting NoSQL systems to Grafana as data sources, and look at an in-depth example of connecting MongoDB as a Grafana data source.

This article describes how to monitor a (cluster of) redis server. Bleemeo will detects automatically the redis server (it can runs in a Docker container or directly on the host) and create automatically a service dashboard. This article will also covers creating a custom dashboard with additional metrics.

When SQL Server is having performance issues, giving you error messages, or just running slowly, you need to figure out the root cause of the problem before making any changes. Don’t jump to conclusions—make sure you get a big-picture view of the issue. Start with these five troubleshooting tips to optimize your SQL Server performance.

Optimizing server performance is important in supporting end-user requirements. Using server optimization, actively monitor: Web server monitoring and optimization helps you to troubleshoot bottlenecks as they emerge and optimize server performance. In this post, we will discuss how to optimize performance and why it is important.

As we shift enterprise computing to the cloud, the need for database migration increases—but with this comes the inherent challenges of migration and the need to plan. Moving to the cloud can come with more risks and obstacles than migrating a database within a data center or from one on-premises data center to another. If a business isn’t fully prepared to migrate, they’re almost certain to run into issues.

Logz.io is focused on creating the best observability service to manage the scale of monitoring, add value on top of AI/ML technologies, and enhance enterprise security. Metrics is one of the pillars of Logz.io, and our Prometheus-as-a-Service offering. It has been a crucial part of our platform goals, but if we turn the clocks back a year, our service only used the open-source Elasticsearch database (ES).

If you’re using SQL Sentry regularly, there’s a great event management feature that provides a lot of value for our advanced users. I often find the SQL Sentry Event Calendar isn’t being used as often as it once was. The Event Calendar lets you view historical and future events, drill down into event failures, and reschedule jobs using drag and drop all from within the SQL Sentry desktop client. In addition, you can create custom views of events you need to reference frequently.