Operations | Monitoring | ITSM | DevOps | Cloud

Forrester Research interviewed digital leaders at enterprise organizations and found that, on average, they were maintaining 268 customer-facing websites and applications. As the number of websites you manage continues to grow, so do the number of challenges in managing it. Often the websites are designed by different teams, are built using different languages and frameworks, and run on different hosting solutions with different DevOps tools and workflows.

It wasn’t too long ago that a security system would be nothing more than a few walls, some cameras, and an inattentive security guard. That’s no longer the case In today’s digital landscape. Now organizations must invest in securing their assets from a growing number of cyberthreats. To start, they must first draw up the boundaries of their IT security perimeter.

Continuous integration (CI) has become the mainstream approach to software development as it enables organizations to iterate quickly while minimizing the risk of releasing faulty code. To implement CI, many organizations rely on Jenkins—one of the most mature and widely used automation servers on the market. Jenkins comes with hundreds of community-backed plugins to help you easily integrate it with other tools in your development workflow.

The mere mention of a serious software error can strike fear into the heart of any developer, project manager or tech leader. The wrong error in the wrong system can be incredibly expensive and difficult to resolve, not to mention humiliatingly public. Catastrophic software errors are mercifully rare these days, but the potential for chaos, PR disasters and spiraling costs still remains.

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.