We’ve written a ton of content about how to unlock the value of frequent deployments for your database as well as applications, from improved coding patterns to strategies for architecting smaller deployments. But the multi-million-dollar question for you and your business is something else entirely: what is the real business value of frequent deployments? That’s the question I’m going to address in this series of three posts.

Accurate data is one of the most important aspects of any organizational function. It helps in decision-making and planning, and for most businesses, it also helps in generating revenue. The data can be anything from a list of clients and products to an inventory list. Nothing comes close to SQL timestamps regarding data accuracy, timeliness, and management. SQL Server timestamp is a critical component of relational databases, but they aren’t used on a daily basis by most database professionals.

Digital transformation seems to be on the to-do list of every organization at the moment. Alongside it, DevOps is one of those buzzwords that gets lumped in, with some vague intention of having things automated. If you’re championing a DevOps implementation in your organization, or wish to see where your current processes measure up against your peers, read on.

Amazon DynamoDB is a fully managed NoSQL database service provided by AWS and is tailor-made for serverless applications. As a fully managed service, we don’t have to worry about operational tasks with DynamoDB, such as hardware provisioning, configuring instances, scaling, replications, software patching, etc.

Find out how to effectively and easily monitor and troubleshoot MongoDB using Netdata.

Oracle is a highly performant and reliable multi-model database management system running online transaction processing, data warehousing, and mixed database workloads. Although Oracle environments are reliable and performant, monitoring dedicated Oracle on-premise or cloud deployments is crucial to safeguard business continuity.

Share: One of the latest benchmarks we did was for OSMC 2022 talk VictoriaMetrics: scaling to 100 million metrics per second - see the video and slides. While the fact that VictoriaMetrics can handle data ingestion rate at 100 million samples per second for one billion of active time series is newsworthy on its own, the benchmark tool used to generate that kind of load is usually overlooked. This blog post explains the challenges of scaling the prometheus-benchmark tool for generating such a load.

No more worries about losing your logical replication slots during maintenance or failover - Aiven now recreates them for you! Find out more here.

MongoDB is a popular non-relational database among developers of distributed apps. This Not Only SQL (NoSQL) database system delivers versatility, high scalability, and a flexible querying model. MongoDB is also remarkable for its fault-tolerance, self-healing, and real-time analytics capabilities. But many companies also decry that MongoDB pricing is expensive and complicated. We’ll share how the MongoDB pricing model works.

The foundation of software development is rooted in the handling and preservation of data in compliance with the goals of the application. The core of any software program is the information stored in databases that is used for retrieval and manipulation. To ensure that the chosen database system (whether SQL or Non-SQL) is suitable for the needs of the application, it’s important to conduct tests to evaluate its capabilities.