Data is at the core of every business application. Because of this, database performance optimization is crucial for you and your team. Optimization begins with setting your primary goals (e.g. 95th percentile <10ms query response) and then looking at what tuning can impact that goal or KPI. Cloud database performance is a set of trade-offs between performance, efficiency, and costs.
Data is at the heart of every organization’s operations and decision-making process. Rapid adoption of cloud computing, storing and managing data in cloud databases has become fundamental to modern businesses. That rapid convenience also exposes the critical risks of data resiliency. Do you have the ability to protect valuable information from potential threats and ensure compliance with industry regulations?
Having the ability to do infinite scaling sounds ideal. Infinite resources also means the potential for infinite costs. With today’s data-driven applications and availability of cloud computing, cost efficiency and scalability have become the top considerations for organizations of all sizes. This boils down to two key questions:
Data has become the lifeblood of organizations. Managing vast amounts of data efficiently is critical for business success. Cloud databases have emerged as the go-to solution for storing and accessing data due to their scalability, cost-effectiveness, and ease of management. However, the performance of cloud databases is not a one-size-fits-all proposition.
Cloud downtime is a disruption in cloud-based services. As more companies are choosing to migrate to the cloud, any disruption in cloud services can be costly. Gartner estimates that cloud downtime costs a company $300,000 per hour on average.
As we discussed in our previous post, statistics show that enterprises are quickly moving to adopt cloud technologies. But as you may remember, the applications they’re moving to the cloud—typically auxiliary applications that aren’t on the business’s critical path—proves that, behind the numbers, enterprises are a bit leery of going all in. In this post, we’ll take a closer look at the serious challenges in cloud adoption faced by enterprises, exploring some of the main reasons why businesses are being so cautious in moving their mission-critical apps to the cloud. Here are the top 7 challenges businesses face when working on cloud adoption:
As companies big and small continue to come to terms with Google’s recent announcement that it’s axing its IoT core service, you may have already started to feel the ripple effects within your organization. The unexpected cut to such a Tier 1 service is in stark contrast to the almost infinite scaling, flexibility, and growth that the cloud promises. “Up and to the right, smoothly” has been the expectation of many for their cloud journey.
Cloud performance refers to how well your applications, workloads and databases operate on the cloud. Your underlying cloud infrastructure should support your business objectives. In today’s digital age, speed matters. On the cloud, performance is everything. Cloud performance allows you to remain competitive as a business.
Companies are moving their data to the cloud to innovate and take advantage of the cloud’s on-demand resources, availability, and elasticity. And there are key considerations to keep in mind when thinking about the Total Cost of Ownership (TCO) of running SQL databases on the cloud, including Oracle or Microsoft SQL Server.
On May 12th, Ori Weizman, Senior Solutions Architect at Silk, sat down with Keith Lyon, Senior Solutions Engineer at Blue Triangle, to discuss Headless Commerce in the retail industry and how multi-channel customer experiences are impacting the data layer.