Our goal is to support both MySQL and PostgreSQL as a backend wherever we need a database. Our latest addition in this area was PostgreSQL support for reporting, which will be released in the next few weeks. We don’t have PostgreSQL support for Icinga Certificate Monitoring yet. But it has already been worked on and the pull request for it is waiting to be tried. We would be happy to receive feedback in this regard so that we can fully merge PostgreSQL support as soon as possible.

Data services—such as caches, messaging queues, and relational databases—are the backbone of applications. And when it comes to relational databases, Postgres is a pretty popular option. Its killer feature is its versatility. Natively and through plugins, Postgres supports a wide variety of data types, formats, and programming languages, which makes it useful for all kinds of applications, including text, geospatial, graph, and more.

The NiCE DB2 Management Pack enables advanced health and performance diagnostics for DB2 databases using the Microsoft System Center console. Leverage your existing investment, reduce costs, save time, and build efficiencies that will last beyond your expectations.

SCOM is a great solution to monitor your infrastructure. Everything you need for in-depth monitoring is provided out-of-box or with a dedicated management pack. If your organization is genuinely invested with SCOM, you probably also know that you can get in-depth monitoring with SCOM’s Application Performance Monitoring (APM) functionality, and collect events across your servers with SCOM’s Audit Collection Services (ACS).

Get above and beyond Oracle monitoring on SCOM by creating actionable ServiceNow incidents from your SCOM alerts with real-time, two-way synchronization. Cookdown and NiCE have joined forces to help you leverage your SCOM and Oracle monitoring investment while increasing your IT Service Management quality, in the best possible way.

Snowflake is a cloud-native data platform that enables users to easily store, manage, analyze, and share high volumes of structured and semi-structured data. Whereas traditional data architectures often consist of multiple databases, data warehouses, and data lakes, Snowflake breaks down the silos between your different data sources and serves as a single source of truth for a wide range of simultaneous workloads.

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to hospital equipment inventory, from user logins to First World War diaries. MongoDB databases contain mountains of information that SREs, software engineers, and executives can visualize to run their businesses more effectively. Grafana dashboards are most effective when they are layered with context.

All databases provide a place to run applications. Monitoring an infrastructure is usually based on its technical components which goes on to extrapolate the health of its applications and programs. However, wouldn’t it be more efficient to monitor the application’s functionality itself? So imagine you have an Order application that consists of a Web UI frontend, Web API backend, business service and an Oracle Database.

Here at MetricFire we’re moving some huge rocks to get more benefits for our customers. Our tech team is migrating our Graphite backend from a Riak database to TimescaleDB. This will drive huge benefits for our customers stemming from the new ability to access their database through PostgreSQL querying. Simultaneously, we’ll be migrating our cloud provider from Hetzner to AWS. This drives further benefits surrounding latency, uptime and security requirements for our customers.

MongoDB is a leading NoSQL database that has proven itself through time as a stable and easy-to-use system of great flexibility. There are numerous tutorials and real-world success stories that show how MongoDB has helped with supporting the database needs of certain organizations and projects. It’s fair to say that using MongoDB proves to be a solid choice for integrating with web-based applications and microservices serving as a database system or even as a monitoring aggregator itself.