Companies increasingly deploy across a wide array of cloud environments and global locations, necessitating DBAs to be prepared to manage a diverse portfolio of database platforms – making a cross-platform database monitoring solution an absolute necessity.
As well as databases, persistence resources for application services include queues and files with customized data models and access patterns.
Embedded databases are tightly integrated into application software and don’t require an independent server module; they run directly on one machine (whether physical, virtual machine, OS-based or cloud) with minimal external dependencies and quick setup times.
These databases are specifically designed for mobile and IoT devices that need access to realtime data in real-time, such as smartphones and IoT devices, while using minimal resources and smart synchronization of information. Their small footprint and resource efficiency makes them suitable for high performance tasks such as query caching.
Popular examples include SQLite, an open-source lightweight and robust database solution, and RocksDB which offers various design philosophies, optimizations and application scenarios suited for embedded systems.
An embedded database offers an efficient and scalable data storage solution, making your next business application effortless. Its minimalist architecture can help reduce latency while offering higher write throughput rates for improved efficiency in restricted environments like monolithic web apps with products services that require expensive queries if cached locally on the server side.
Modern IT departments rely heavily on data for competitive advantages, but managing its diverse environment across on-premises and cloud infrastructure can be daunting for IT teams. Siloed database operations that slow application performance, increase maintenance costs, or expose business data to security risks could ensue as a result.
With the right tools, IT teams can save time and be more efficient when operating complex environments including on-prem and cloud servers, SQL databases and non-relational databases. This becomes particularly relevant as organizations implement innovative data solutions like data lakes and warehouses.
One popular solution to this challenge is using a pre-cloud database service from a provider like Amazon Web Services – commonly referred to as Database-as-a-Service or DBaaS – such as Database-as-a-Service. DBaaS offers many of the advantages associated with managed databases while relieving IT from administration duties, allowing developers to focus solely on developing applications. In addition, its scalability and high availability make it an excellent way for organizations looking to reduce IT costs while reaping all its benefits of cloud.
Cloud Partner-Managed Databases
As part of some use cases, database systems must be capable of operating across multiple deployment locations. Systems managed by cloud providers often provide more portability through functional interfaces without requiring migration processes or additional integration code.
An alternative solution to database hosting services is database as a service (DBaaS), wherein vendors take over deployment, patching, backups and scaling while the end user maintains access via web portal or vendor API. Such environments typically feature high availability and automatic disaster recovery features built right into their platform.
UpCloud Managed Databases offers an easy, convenient, and secure way to deploy and manage PostgreSQL, MySQL, Redis and OpenSearch databases on Kubernetes. Get started for free using UpCloud Managed Databases with your first two weeks free use – no credit card necessary.
Built-In Cloud Databases
Cloud databases are designed to run and store user data without relying on IT teams to provision and install hardware, software, operating systems, servers and storage. Instead, the Database as a Service (DBaaS) model offers pay-as-you-go cloud resources and services that reduce upfront CAPEX costs while increasing business agility.
These cloud-based databases also allow greater scalability and flexibility than conventional SQL-based systems, enabling IT teams to adjust processing capacity dynamically according to workload demands.
Cross-platform database monitoring techniques enable IT teams to easily monitor multiple types of cloud databases from a single dashboard, providing real-time alerts and troubleshooting performance issues without switching tools or losing visibility.