Monitor your Oracle databases, instances, tablespaces, pluggable databases, processes, system global area (SGA), clusters, automatic storage management (ASM), listeners, disk groups, and more within minutes. Discover Oracle objects automatically and track the overall health of your Oracle environment easily. Spot and act on Oracle latency issues as they appear. Generate detailed Oracle performance reports with a mouse-click. Use build-in Oracle tasks to speed up operations.

Should I get my database managed? Read and find out the real costs and benefits of self-hosted vs managed databases, and ask yourself five hard questions.

MongoDB Atlas is a fully managed cloud database service for modern applications. Earlier this year, the MongoDB team released MongoDB Atlas for Government, a dedicated environment for US federal agencies and state, local, and education (SLED) entities that need to meet stringent security and compliance requirements.

Icinga DB web has a better layout and is more user friendly. This makes monitoring more simple. Hence it would be nice if we could adapt all the Icinga modules to Icinga DB. In this blogpost, I will discuss how to adapt Icinga Web modules to Icinga DB. To do this, first and foremost, install and enable the Icinga DB module. Currently, monitoring backend is the default backend for all the modules.

MySQL is a traditional open source relational database that goes well with many well-established applications. Find out more about its features and use cases in our latest blog post.

Over the last five years, Redgate’s annual State of Database DevOps Report has provided valuable insights into how and why DevOps is being adopted, along with the drivers for introducing it for both application and database development, and the obstacles businesses and organizations face.

We recently released a minor version of SQL Monitor, v12.1, that includes Tagging and a new ‘Current Activity’ page. This blog post will outline the latter feature.

Matt Gordon is a Microsoft Data Platform MVP and the Director of Data and Infrastructure at Rev.io. The sophisticated billing-as-a-service (BaaS) platform provides online billing software to communications companies, IoT businesses, and technology service providers. Matt’s role, first and foremost, involves keeping the lights on while at the same time overseeing many data-related projects, from architecture to performance tuning and DevOps implementation.

Azure SQL Database is at the heart of many applications running on Azure. Whether a company is migrating its on-premises applications to Azure or designing a new application from scratch, there are high chances of Azure SQL Database being considered and used.

Over the past several years, I've helped numerous customers migrate SQL Server workloads to Azure SQL, including Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Virtual Machines. In this article, I'll explain some of the challenges of optimizing the compute cost for an Azure SQL Database deployment and review how the serverless compute tier can greatly simplify it.

Federal IT pros have historically had limited time and resources; this makes it crucial to find the source of application slowdowns or outages as quickly as possible. Database virtualization can help by allowing IT pros to separate the storage and application layers within the application stack more quickly, providing easier access to root-cause issues. An estimated 70% of databases are virtualized. Yet, the benefits of virtualized databases come with additional challenges.

VictoriaMetrics is a fast and easy-to-use monitoring solution and time series database. It integrates well with existing monitoring systems such as Grafana, Prometheus, Graphite, InfluxDB, OpenTSDB and DataDog - see these docs for details. We are glad to announce the availability of Managed VictoriaMetrics at AWS Marketplace - try it right now!

As you start to have responsibility for more than a handful of SQL Server instances, you’ll need to get more organised. Everyone around you benefits if you’ve recorded basic things like what the server does and who is responsible for it, and we think that a great place to do this is in your monitoring tool (and, better still, if that’s SQL Monitor!).

As business has become more digital, data has become the most valuable asset of many organizations. But protecting that data has also become much more compli­cated as organizations increasingly migrate it to a mix of public and private cloud infra­structures, such as Microsoft Azure, Amazon Web Services, and Google Cloud.

Over the past several years, I've helped numerous customers migrate SQL Server workloads to Azure SQL, including Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Virtual Machines. In this article, I'll explain some of the challenges of optimizing the compute cost for an Azure SQL Database deployment and review how the serverless compute tier can greatly simplify it.

In this article, we’ll deep dive into all the basics to help you decide if AWS RDS is the right decision for your architecture and help you hit the ground running if you do end up AWS RDS. For many decades now, relational databases (RDS) have been the place to store your data. They are pretty flexible often use some kind of SQL dialect, which is one of the main languages taught in computer science classes, and widely understood by the average developer.