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Marcel Merkle

Dietrich Mostowoj

Johannes Scheerer

Steffen Schreiber

Matthias Braun

Thomas Klink

Andreas Mueller

Andreas Steiner

Marc Becker

Andreas Schoesser

Elena Oresharova

Silvestre Fernando Zabala

Embodiments facilitate the efficient handling of service requests by a Platform-as-a-Service (PaaS) infrastructure. The platform may comprise a central controller communicating with a plurality of execution agents on one or more hosts. The central controller may parse client requests manipulating application state (e.g., scale, start, stop app, clear) into a sequence of fine-grained instance requests (e.g., start, stop, stop all, clear) that are distributed to the application program interfaces (API) of execution agents on the platform. The central controller may assign a priority to the fine-grained requests. The priority may take into consideration one or more factors including but not limited to: request creator (user, system); operation type (start, stop, stop all, clear); instance number; sequence number of the fine grained request within the original received request; hierarchy level (organization, space); and application. Fine-grained requests may be distributed by a scheduler to a queue of the execution agent.

Scheduling of micro-service instances

The present disclosure involves systems, software, and computer implemented methods for remotely debugging applications in a private cloud environment. One example method includes establishing a first secure connection with a client device in response to receiving a request from the client device for a secure debugging session to remotely debug an application instance running in a private cloud environment. A host that is hosting the application instance is identified. A second secure connection is established with the identified host. A request is submitted, over the second secured connection, to the identified host, to instantiate a debug proxy process. The debug proxy process is configured to establish a secure inter-process communication channel with the application instance and instruct the application instance to run in a debug mode.

Debugging in a private cloud environment

The present disclosure involves systems, software, and computer implemented methods for monitoring processes running on a platform as a service architecture. One example method includes storing a received sample of monitored attributes of a computer process in a sample memory buffer that includes other stored samples. A determination is made that the sample memory buffer is full. The sample memory buffer is compressed. A starting position in a compressed sample file store at which to store the compressed sample memory buffer is determined. The compressed sample memory buffer is stored at the determined starting position in the compressed sample file store. The starting position of the stored compressed sample memory buffer is stored at a particular location in a file position index. A collection timestamp for the sample in a timestamp index is stored at a timestamp index location that matches the particular location in the file position index.

Monitoring processes running on a platform as a service architecture

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Leimen, Germany

Marcel Merkle