With cloud migrations, new database vendors and rapidly changing technology, the database performance management industry continues to evolve at a rapid rate. This has brought about a number of changes to the database management landscape. In this blog post, we’re highlighting the biggest shifts in 2016.
Increasing Demand for Hyperscale Cloud
We’ve witnessed a slower migration to the cloud than expected — and it continues to move at a slower rate for a variety of reasons. Risk continues to be the driver of delayed migrations to the cloud as organizations fear lack of control, performance problems, security issues and overall cost.
However, hyperscale cloud technologies are catching on at a faster rate — a McKinsey & Co. survey earlier this year found that nearly half of large enterprises have handed off at least one workload to a hyperscale provider. It’s predicted that the number will grow significantly in the next few years to about 80 percent.
Hyperscale cloud services providers like Google Cloud Platform, Amazon Web Services and Microsoft Azure are more attractive to organizations as they can rely on them to accommodate large workload increases, which continues to gain more appeal as organizations become even more reliant on technology for day-to-day business. Because they boast enhanced security and advanced capabilities, migration to hyperscale gained popularity in 2016 — and will continue to be a driver for cloud migrations in 2017.
Focus on Machine Learning
Over the past few years, predictive analytics have gained steam and transformed the way that we analyze data — giving us deeper insight into key metrics and uncovering root-cause issues much faster and efficiently. This year, there’s been much more of a focus on machine learning — removing the human from the equation altogether and relying on solutions to give us the answer to key questions like what caused a drop in performance or what may be driving user dissatisfaction.
Perhaps one of the most interesting areas of machine learning comes in the form of alerts and notifications. Previous experience with alerts brought error codes without much detail about the root of the issue, resulting in you spending hours mining through data just to find which database instance was the problem child. This whole time the application was suffering performance issues and possibly even downtime, creating a widespread issue instead of being contained it in one specific area.
Now, alerts and notifications have transformed to offer some smart insight into exactly what the issue may be, what you can do to fix it and even how you can prevent it in the future. With this additional insight, you can spend more time optimizing performance of your technology and less time playing hide and go seek to uncover issues.
More Traction for Open Source Databases
Traditional RDBMS aren’t going anywhere, but open source databases are gaining traction as organizations look for scalability and agile development to fit their dynamic needs. NoSQL systems like Cassandra and MongoDB continue to gain popularity — in fact, Database Zone reports that the number of open source systems has increased to 46 percent — over 35 percent just a few years ago.
As organizations expand to include open source databases across their portfolio, finding a database and infrastructure performance monitoring solution makes a world of difference. The solution can help deconstruct silos that may exist within the organization and ensure cross-platform visibility to truly understand performance hangups, eliminate alert storms and gain essential insight into health and availability all within a single console.
Ready to change your database management to work with today’s trends? Get your free trial of SelectStart today to leverage intelligent alerts and in-depth dashboards to improve troubleshooting and optimize performance across your databases and IT infrastructure.