The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!
In the digital age, the speed and performance of apps and websites have a huge impact on the customer experience. To ensure a high level of quality, Application Performance Monitoring (APM) refers to the process of tracking the performance and availability of software systems. Let’s look at what Application Performance Monitoring is, how AI and machine learning are being applied to stay ahead of the competition, and several real-world use cases.
Argo Rollouts, part of the Argo project, recently released their 1.0 version. You can see the changelog and more details on the Github release page. If you are not familiar with Argo Rollouts, it is a Kubernetes Controller that deploys applications on your cluster. It replaces the default rolling-update strategy of Kubernetes with more advanced deployment methods such as blue/green and canary deployments.
Plenty of tools make it easy for you to discover existing APIs and create new APIs that integrate essential parts of your IT infrastructure. However, using an API to connect two or more assets doesn’t ensure that you get excellent performance.
Streamlining your incident management process is what we do best, and one of the ways we do that is by acting as the connective tissue across all of your applications. We’ve partnered with Checkly to bring you a new integration that empowers you to detect problems and resolve incidents faster.
Datadog Notebooks simplify the way teams across an organization find and share knowledge. By bringing together live data and rich Markdown text, Notebooks help teams create powerful, data-driven documents—from runbooks and support playbooks to incident postmortems and data reports. And with collaboration functionalities like real-time editing and commenting, team members can simultaneously make changes to a document and gather feedback along the way.
One of the most important uses of Artificial Intelligence (AI) and Machine Learning (ML) lies in the detection and prevention of criminal activities. Today, companies are widely using AI-powered computer vision devices to predict and detect crimes ranging from frauds and theft to violence and cybercrimes. The developments in computer vision technologies enabled authorities to simplify incident reporting and crime detection more efficiently.