If you are working with large amounts of data that will primarily be used for analytics, a column database might be a good option. There are a lot of different options when it comes to choosing a database for your application. A common discussion seems to be the high-level SQL vs. NoSQL database argument of whether data should be stored in a relational database or in a NoSQL alternative like key-value, document or graph databases.

As technology improves and customer demands change, many companies must provide fast, engaging, and secure services. Developers rely on platforms that support sub-millisecond response times to power these capabilities in their applications. Amazon ElastiCache and Redis are two of the most popular platforms for building fast, highly available, and scalable data stores.

As a data professional, I often think about all the things around me generating data and consider where this data is ultimately being used. Have you ever taken a minute to consider exactly how much data is being generated at any point in time? I love collecting data and looking at ways it can be used and living in a “smart” home with appliances logging and reporting usage patterns certainly provides a lot of opportunities.

At LogicMonitor, ingesting and processing time series metric data is arguably the most critical portion of our unified observability platform. In order to fully prepare for growth, scale, and fault-tolerance, we have evolved what we refer to as our Metrics Processing Pipeline from a monolith to a microservice-driven architecture.

MongoDB has evolved into the database solution of choice for developers looking to build efficient, scalable applications in the cloud. But, as when using any cloud-based infrastructure, using MongoDB introduces an additional layer of complexity to customers’ IT spend. This week, we announced support for MongoDB on the CloudZero Platform.

The open-source data platform Redis, based on in-memory data, is complicated enough when hosted only on one server. Therefore, a critical aspect of Redis management is monitoring its performance. Despite serving a vast number of queries, Redis is known for its low latency response time. Keeping track of your Redis instance's performance can be done by monitoring certain vital metrics. As well as storing data in memory and on disk simultaneously, Redis stands apart from most other databases.

I recently had a cloud migration client who was at the beginning stage of their discovery phase and looking to jump straight to “which database platforms should I be using in the cloud?” - a tall ask you might say, but following the three steps below they were able to discover and analyze all of their database servers in just two weeks.

When applications suffer performance degradation often the root cause of the issue is a database problem. In this guide we’ll show you 7 ways to troubleshoot your Azure SQL database performance issues using metrics and insights from the eG Enterprise monitoring solution.

I don’t need to highlight the impact of the last few years on the world and its businesses. Companies that once completely dismissed the idea of remote working now embrace online offices, with many now operating fully remotely. Externally, the marketplace is shifting too, and opportunities for creating and realizing value can be found in new, less familiar places.