In a previous blog post, we talked about Amazon Relational Database Service (RDS). RDS is one of the most popular cloud-based database services today and extensively used by Amazon Web Services (AWS) customers for its ease of use, cost-effectiveness and simple administration.

We often get asked about the breadth and depth of Foglight when it comes to its monitoring scope. Whether it support for a multitude of relational, open source and NoSQL database platforms or providing the depth needed to identify the root cause of performance issues, you are looking in the right place with Foglight.

DevOps is no longer just about breaking the silo between developers and operations. That’s why every manual operation in your delivery pipeline needs to be evaluated to determine if it can be automated. Database changes are indeed a tedious process and therefore deserve to be considered in your DevOps implementation.

Oracle Database has long been a mainstay of the business world. Companies use it to handle data sets backing a wide variety of complex applications, including data warehouses or OLTP systems. Oracle Database includes enterprise-friendly features that emphasize scalability, advanced partitioning, and optimized availability of data across a large, potentially disparate infrastructure, as well as real-time backup and recovery tools.

Once your Rails app begins seeing consistent traffic, you're bound to have slow SQL queries. While PostgreSQL and MySQL can log slow queries, it's difficult to gleam actionable information from this raw stream. The slow query logs lack application context: where's the LOC generating the query? Is this slow all of the time, or just some of the time? Which controller-action or background job is the caller? Enter Scout.