Knowing what business problem you want to address will help you know which data mining technique will produce the best results. Each of the data mining strategies listed below addresses a different business challenge and yields a different result. We are surrounded by big data in today’s digital world, which is expected to rise at a rate of 40% per year over the next decade. The irony is that we are awash in data yet deficient in knowledge. Why?
Speedscale is proud to announce its Centralized Log Collection capability. When diagnosing the source of problems in your API, more information is better. For most engineers, the diagnosis process usually starts with the application logs. Unfortunately, logs are usually either discarded or stored in Observability systems that engineers don’t have direct access to. Compounding this issue is that the log information is typically not correlated to what calls were made against the API.
The web traffic filters allow you to black and white-list traffic based on source IP and/or country of origin.
Adopting a public cloud platform like AWS has many benefits, but the process of moving your existing automation capabilities between on-prem and the cloud can present challenges and make it difficult to take full advantage of cloud. In fact, in a recent survey conducted by Puppet, we learned that many Puppet users are significantly influencing their organizations’ cloud migration planning, indicating that Puppet can play a key role in cloud migration.
System outages happen to the best of us. Communicating with your customers and other stakeholders effectively during downtimes is vital to maintaining a solid relationship with them. When a system outage occurs, technical teams are tasked with swiftly locating the cause and resolving the issue, while communications teams are tasked with notifying stakeholders and customers about the outage to maintain transparency.
