The latest News and Information on Application Performance Monitoring and related technologies.
Today, IT and site reliability engineering (SRE) teams face pressure to remediate problems faster than ever, within environments that are larger than ever, while contending with architectures that are more complex than ever. In the face of these challenges, artificial intelligence has become a must-have feature for managing complex application performance or availability problems at scale.
Getting a good grasp on your application, especially when it is distributed across multiple clouds, kubernetes clusters and serverless functions is not an easy fit.
As the Azure cloud administrator, you need to know who is accessing your cloud resources, how they are access it, what they access, what changed, when they access and from where, etc? Azure AD (Azure Active Directory) provides answers to above by storing the information in two logs, the information stored in them is extremely valuable for troubleshooting, monitoring and for general security related work, the logs are.
When your service is undergoing performance issues, it is essential to address them in a timely and frictionless manner. With access to more telemetry and insights, the APM Service Page provides a comprehensive overview of your service and helps you quickly drill down under the hood to diagnose and investigate issues.
Most organizations are moving applications and workloads to the cloud. Our APM survey found that 88% of organizations had some form of cloud technology deployed already. At the same time, there are several misconceptions about the cloud. There are many who believe they don’t need monitoring tools for the cloud because their cloud provider will take care of all of their performance needs. This is a myth because cloud provider SLAs are mainly around infrastructure availability.
Picture this: Your on-call engineer gets an alert at 2 AM about a system outage, which requires the entire team to work hours into the night. Even worse, your engineering team has no context of where the issue lies because your systems are too distributed. Solving the problem requires them to have data from resources that live in another timezone and aren’t responsive. All the while, your customers cannot access or interact with your application, which, as you can imagine, is damaging.
