The transition to the cloud—as well as the adoption of hybrid and multi-cloud environments—shows no sign of slowing down, especially as cloud-native apps and serverless computing continues to rise in popularity. As new cloud trends and technologies surface, the central goal of cloud computing remains the same—faster, smarter, and more cost-effective data management strategies. Though seemingly straightforward, truly harnessing the cloud for all its benefits is easier said than done.
Krishna Raman, vice president, ISM R&D at Quest, and Aaron Sonntag, senior software development engineer at EDB, joined DBTA’s webinar, Ensuring Performance, Scalability, and Security in the Cloud, to examine today’s best practices for cloud adoption and management, discussing various factors that can derail success.
Raman posed a question that many organizations may be thinking in this massively pro-cloud era: Is this the end of the road for just on-prem?
Essentially, yes; Raman explained that the days of an enterprise operating solely on-prem are gone. This does not mean that on-prem systems are completely obsolete, however. It is simply not true that everything is going to be in the cloud, according to Raman, as there are still systems and applications that cannot be moved to cloud due to security reasons.
The most common answer to this conundrum is hybridity, offered Raman, or a combination of both on-prem and cloud environments that helps to:
- Lower storage costs
- Limit cost of performance and scaling
- Replicate mission-critical data
- Mitigate data transfer costs
- Reduce risk and increase security
“Being part of a company like Quest, where we have a lot of products that solve [problems] in the data management space…we have taken a hybrid approach on how we re-architect and enable cloud as we design our applications,” noted Raman.
These applications—such as erwin Data Modeler, Toad Data Point, and erwin Data Intelligence—can help enterprises establish a hybrid cloud approach that effectively collaborates with on-prem environments.
Ultimately, Raman explained that there are a wide variety of paths to cloud, each with their own benefits and challenges. Every organization has different requirements and needs to be met, and while cloud poses a variety of benefits, it opens the door to security and risk issues. Examining and evaluating your organization’s individual needs and capabilities is key toward successful cloud adoption.
Sonntag focused their discussion on how EDB is helping its customers address the mandates they’re facing, from modernization to optimization and AI. Part of this modernization mandate involves cloud computing, where Sonntag echoed Raman’s sentiment: A successful cloud strategy is any strategy that works for you, any cloud, anywhere, and in any development environment.
EDB’s approach to the cloud mandate recognizes that cloud service providers often lead to another form of lock-in for enterprises, according to Sonntag.
To resolve this challenge, EDB offers the Postgres AI platform, a single database that lives across all clouds and environments at once. The platform enables the same Postgres, everywhere, from fully managed private cloud to self-managed public cloud and everything in between. Unifying transactional, analytics, and AI workload management while offering “single pane of glass” administration, EDB’s Postgres AI platform offers Oracle compatibility, up to 5x performance, and up to 99.999% availability.
Sonntag then led webinar viewers through examples of EDB Postgres AI at work, both in data estate management and Oracle migration use cases.
For the full, in-depth webinar discussing best practices for cloud implementation, you can view an archived version of the webinar here.