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Have You Heard of DBOps? You Might Soon.

Have You Heard of DBOps? You Might Soon.

If you have been in IT long enough, you have probably witnessed this evolution firsthand ๐Ÿ‘‡

In the on-prem era, the Database Administrator (DBA) was the backbone of every system, installing, configuring, tuning, backing up, and securing the databases that powered entire organisations.
It was all about stability, reliability, and control.

Then came the cloud revolution ๐ŸŒฉ๏ธ
Infrastructure as Code, CI/CD pipelines, and containerisation changed everything. Automation became essential, and many DBAs evolved into DevOps engineers, learning new stacks, cloud platforms, and scalable automation to keep up with agile delivery cycles.

But today, we are living in a hybrid world, where systems span on-prem, cloud, and containerised environments. And, while talking with our customers, we consistently see the same challenge:

Organisations need the speed and automation of DevOps without losing the data reliability and deep expertise of traditional DBAs.

From our perspective, this is where a new type of role is starting to take shape ๐Ÿ‘‰ what we call DBOps ๐Ÿ‘ˆ

๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐——๐—•๐—ข๐—ฝ๐˜€?
DBOps blends database reliability with infrastructure handling and DevOps automation, creating a unified approach to data operations in hybrid environments.

๐—ž๐—ฒ๐˜† ๐˜€๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐—ป๐—ฐ๐—น๐˜‚๐—ฑ๐—ฒ:
ย ย โ€ข Infrastructure as Code for provisioning and patching (Terraform, Ansible)
ย ย โ€ข Database CI/CD pipelines (schema versioning, automated deployments)
ย ย โ€ข Kubernetes-native database management
ย ย โ€ข Cloud database platforms (RDS, Aurora, Azure SQL, Cloud SQL, etc.)
ย ย โ€ข Monitoring and observability for data platforms (Prometheus, Grafana, ELK)
ย ย โ€ข Automated backup, recovery, and compliance
ย ย โ€ข Security, cost, and performance optimisation at scale

๐—ข๐˜‚๐—ฟ ๐—ฉ๐—ถ๐—ฒ๐˜„: ๐—ช๐—ต๐—ฒ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ ๐—ฆ๐—ต๐—ถ๐—ณ๐˜ ๐—ถ๐˜€ ๐—›๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด
From our perspective, the market is clearly moving toward a combined skill set, where data expertise meets automation. DBOps is already becoming a critical function in organisations operating across hybrid and multi-cloud environments.

As hybrid architectures continue to expand, we expect to see a growing demand for professionals who can own this intersection, ensuring that data remains reliable, secure, and agile.