Most companies in today's business landscape that deal with large amounts of data want to integrate their applications so that they can pass data between them seamlessly and easily. Being able to ensure that you can see exactly what is happening at every stage of the process is key, and this is where approaching the process with observability in mind can make a real difference. Deciding at the outset that observability is something that you want to be baked into the process means that you can plan and execute with that in mind.
In today’s digital landscape, organizations need the right cybersecurity applications to address evolving cyber threats effectively. To keep security teams aligned and streamline mission-critical workflows, one of the most important cybersecurity applications organizations need is a secure and efficient cybersecurity collaboration platform that enables seamless communication, information sharing, and coordinated incident response.
Organizations — particularly those with high security and compliance requirements — need a customizable way to explore and innovate with artificial intelligence and other new technologies. This is why we’re happy to introduce OpenOps, an open source platform designed to help organizations experiment with AI in a secure environment they control. OpenOps is a framework of several tools that enables you to test open source AI models in a sandbox.
Software development errors can wreak havoc on organizations. When software bugs make it into production due to human error, organizations can lose a lot of money. At the same time, software failures can ruin a company’s reputation, creating dissatisfied customers and crushing productivity. Depending on how bad the errors are, software companies can even face legal and compliance penalties.
