Data has become an organization’s most precious commodity and has the power to identify and resolve weaknesses in business strategy, enhance customer relationships, and create market disrupting services. Hybrid cloud operating models allow companies to host their data where it most impacts end users’ response times and overall digital experience. However, managing this data across private cloud, public cloud, and edge requires mature and automated processes and technologies. IT staff struggling with technical debt and budget constraints are often too overwhelmed by operational complexity to stay current with emerging trends.
Database management presents especially daunting obstacles in highly decentralized hybrid ecosystems. Data estates in these environments often evolve spontaneously with little consideration for proper governance. Database Administrators (DBAs) can find it difficult to keep database engines upgraded to the latest versions and maintained with routine security and quality updates. This increases the risk of security breaches, performance degradation, and downtime leading to lost revenue and tarnished brand reputation. DBAs may also need to create highly customized scripts and tools for administration in these environments, which can result in siloed expertise.
IT administrators are burdened with inflexible infrastructure, creating further obstacles for DBAs and for themselves. Database engines often run on a wide variety of non-standardized hardware, operating systems, virtualization platforms, and container-based solutions. This leads to life cycle management chaos with many disjointed consoles and command-line tools. Also, database performance may suffer because infrastructure is not configured correctly or cannot easily scale to meet spikes in demand.
Software developers are demanding more from both the IT administrators and DBAs. They demand instant provisioning, elasticity, and high availability for their stateful database services running in containers. They often need the latest database engines for their applications to take advantage of its newest features and functionality. In contrast, there may also be developers refactoring applications that require compatibility with previous generation database server tools and features.