Abstract: Systems, methods, and computer program products for trace management in a distributed computing environment are described. A trace manager receives a request to analyze a trace of a series of calls between applications serving requests in a microservice architecture. The trace manager determines metrics including, for example, latency information and start time for the series of calls. The trace manager presents the metrics in association with log entries correlated to the series of calls. A call stack, or one or more latency indicators, provides a user interface of selecting one or more calls. A user selection of a particular call in the call stack or a latency indicator causes one or more corresponding log entries to be emphasized or filtered. The call stack and the one or more latency indicators can have various display configurations.

Abstract: Systems, methods, and computer program products for trace management in a distributed computing environment are described. A trace manager receives a request to analyze a trace of a series of calls between applications serving requests in a microservice architecture. The trace manager determines metrics including, for example, latency information and start time for the series of calls. The trace manager presents the metrics in association with log entries correlated to the series of calls. A call stack, or one or more latency indicators, provides a user interface of selecting one or more calls. A user selection of a particular call in the call stack or a latency indicator causes one or more corresponding log entries to be emphasized or filtered. The call stack and the one or more latency indicators can have various display configurations.

Abstract: Systems, methods, and computer program products for trace management in a distributed computing environment are described. A trace manager receives a request to analyze a trace of a series of calls between applications serving requests in a microservice architecture. The trace manager determines metrics including, for example, latency information and start time for the series of calls. The trace manager presents the metrics in association with log entries correlated to the series of calls. A call stack, or one or more latency indicators, provides a user interface of selecting one or more calls. A user selection of a particular call in the call stack or a latency indicator causes one or more corresponding log entries to be emphasized or filtered. The call stack and the one or more latency indicators can have various display configurations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for deploying and using a light-weight cloud application platform. In one aspect, a method includes providing a deployment tool configured to deploy a light-weight cloud application platform in an execution environment in response to a user command that specifies the environment, and to create one or more instances of a cloud application executing on the light-weight cloud application platform in response to a user command that specifies a container image that includes the application. The deployment tool receives a first user command that specifies the execution environment. In response, the deployment tool deploys components of the light-weight cloud application platform, including a scheduling subsystem and a routing subsystem. The deployment tool receives a second user command that specifies a location of the container image.

Abstract: Methods, systems, and computer-readable media for monitoring states of application packages deployed on a cloud-based application deployment platform. A notification service retrieves a copy of a deployed application package from the cloud-based deployment platform, and determines libraries of the application package. The notification service can then determine security vulnerabilities in the libraries, and provide notifications on the vulnerabilities of the application package to a user or developer.

Abstract: Methods, systems, and computer-readable media for monitoring states of application packages deployed on a cloud-based application deployment platform. A notification service retrieves a copy of a deployed application package and metadata associated with the application package from the cloud-based deployment platform, and identifies libraries of the application package. The notification service can then determine which, if any, libraries are or will become out-of-date, and obtain license information about the libraries. The notification service can provide notifications of any outdated components and on license compatibilities or incompatibilities. The notification service can automatically restage the application package, or update the license, upon finding outdated components or license incompatibilities.

Abstract: Systems, methods, and computer program products for trace management in a distributed computing environment are described. A trace manager receives a request to analyze a trace of a series of calls between applications serving requests in a microservice architecture. The trace manager determines metrics including, for example, latency information and start time for the series of calls. The trace manager presents the metrics in association with log entries correlated to the series of calls. A call stack, or one or more latency indicators, provides a user interface of selecting one or more calls. A user selection of a particular call in the call stack or a latency indicator causes one or more corresponding log entries to be emphasized or filtered. The call stack and the one or more latency indicators can have various display configurations.

Abstract: Systems, methods, and computer program products for trace management in a distributed computing environment are described. A trace manager receives a request to analyze a trace of a series of calls between applications serving requests in a microservice architecture. The trace manager determines metrics including, for example, latency information and start time for the series of calls. The trace manager presents the metrics in association with log entries correlated to the series of calls. A call stack, or one or more latency indicators, provides a user interface of selecting one or more calls. A user selection of a particular call in the call stack or a latency indicator causes one or more corresponding log entries to be emphasized or filtered. The call stack and the one or more latency indicators can have various display configurations.

Abstract: Systems, methods, and computer program products for trace management in a distributed computing environment are described. A trace manager receives a request to analyze a trace of a series of calls between applications serving requests in a microservice architecture. The trace manager determines metrics including, for example, latency information and start time for the series of calls. The trace manager presents the metrics in association with log entries correlated to the series of calls. A call stack, or one or more latency indicators, provides a user interface of selecting one or more calls. A user selection of a particular call in the call stack or a latency indicator causes one or more corresponding log entries to be emphasized or filtered. The call stack and the one or more latency indicators can have various display configurations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for deploying and using a light-weight cloud application platform. In one aspect, a method includes providing a deployment tool configured to deploy a light-weight cloud application platform in an execution environment in response to a user command that specifies the environment, and to create one or more instances of a cloud application executing on the light-weight cloud application platform in response to a user command that specifies a container image that includes the application. The deployment tool receives a first user command that specifies the execution environment. In response, the deployment tool deploys components of the light-weight cloud application platform, including a scheduling subsystem and a routing subsystem. The deployment tool receives a second user command that specifies a location of the container image.