By the September deadline, Europe’s banks and fintech companies should be compliant with the Second Payment Services Directive (PSD2). Rather than focusing inwards on business operations, PSD2 is an outward-looking directive. It encourages open access and competition in the banking industry. Organisations across the breadth of the industry are required to open their payments infrastructures and customer data to third parties.
When a data breach occurs involving a cloud service, the impulsive reaction is to denounce using the cloud (at least for sensitive information). Since cloud security is not widely understood, it may be difficult to delineate it in the context of more general information security.
These days, companies are overflowing in data and tolerating ancient API-integrations. Across all industries. Buried in that data are trends that point to customer insights, inefficiencies and synergy opportunities that could provide a competitive edge to a company. Or, just help a company catch back up to its competitive peers. But how to best harness this data?
These days, companies are overflowing in data and tolerating ancient API-integrations. Across all industries. Buried in that data are trends that point to customer insights, inefficiencies and synergy opportunities that could provide a competitive edge to a company. Or, just help a company catch back up to its competitive peers. But how to best harness this data?
As APIs become the de facto standard for building and connecting business-critical applications, it’s important for operations teams to gain visibility into the security attributes of your APIs in order to continuously monitor and maintain the health of your API programs.
In the current microservices DevOps environment, there are tough new and evolving challenges for developers and teams to consider on top of the more traditional ones. From worsening versions of already common threats to new-generation evolving threats, new perspectives are required on securing microservices. These new perspectives may not be intuitive for many otherwise sophisticated DevOps and data teams.
In the previous article of our last chapter of Data Integration Best Practices, we took a look at how to describe integrations in such a way that everybody – from developers to business users – understands the requirements correctly. We also discussed why you eventually might need some type of an integration layer to keep your integration projects under control. In this article, we continue reviewing some tips that revolve around preparing for and running an integration project.
After months of work, countless user conversations, and a great team effort we’re happy to announce the release of DreamFactory 3! This is undoubtedly the most exciting release in several years, addressing a great number of customer requests and addressing numerous important enhancements. This release is ready to be cloned via GitHub. Docker users can spin up the 3.0 release made available via our Docker repository.
