Techniques are disclosed for performing operations in a distributed computing environment comprising a plurality of computing devices implementing a Kubernetes environment. An indication is received of one or more custom resources of the Kubernetes environment. The custom resources are grouped into a commit set. The commit set is defined as an atomic unit which either succeeds or fails atomically. It is determined that at least one of the custom resources has failed to complete. In response to the determination, the custom resources of the commit set are reverted to a previous consistent state.

The end-to-end troubleshooting system may use machine learning models to predict the network quality degradation and provide resolution recommendations. The end-to-end troubleshooting system may be a self-evolving closed loop system that helps monitor the network health, provide real-time prediction of network health, and anticipate potential network outages. This intelligent system may provide recommendation resolutions based on the analysis of prediction results.

The end-to-end troubleshooting system may use machine learning models to predict the network quality degradation and provide resolution recommendations. The end-to-end troubleshooting system may be a self-evolving closed loop system that helps monitor the network health, provide real-time prediction of network health, and anticipate potential network outages. This intelligent system may provide recommendation resolutions based on the analysis of prediction results.

Techniques are disclosed for performing operations in a distributed computing environment comprising a plurality of computing devices implementing a Kubernetes environment. An indication is received of one or more custom resources of the Kubernetes environment. The custom resources are grouped into a commit set. The commit set is defined as an atomic unit which either succeeds or fails atomically. It is determined that at least one of the custom resources has failed to complete. In response to the determination, the custom resources of the commit set are reverted to a previous consistent state.

Techniques are disclosed for performing operations in a distributed computing environment comprising a plurality of computing devices implementing a Kubernetes environment. An indication is received of one or more custom resources of the Kubernetes environment. The custom resources are grouped into a commit set. The commit set is defined as an atomic unit which either succeeds or fails atomically. It is determined that at least one of the custom resources has failed to complete. In response to the determination, the custom resources of the commit set are reverted to a previous consistent state.

In some implementations, a method includes receiving a connection request from a user application. A service request is sent to a radio resource control (RRC) module. An indication of failure of or a rejection to the service request due to access class barring is received from the RRC module. A retry of the user application connection request is prevented until expiration of an access-class-barring timer of the RRC module that resulted in the access class barring.

In some implementations, a method includes receiving a connection request from a user application. A service request is sent to a radio resource control (RRC) module. An indication of failure of or a rejection to the service request due to access class barring is received from the RRC module. A retry of the user application connection request is prevented until expiration of an access-class-barring timer of the RRC module that resulted in the access class barring.

Reference signals configured for use with extension carriers and/or carrier segments are described. Reference signals for extension carriers and/or carrier segments may include demodulation reference signals (e.g., user equipment-specific reference signals), cell-specific reference signals, and channel-state information reference signals. Methods, systems and apparatuses for configuring extension carriers and/or carrier segments with one or more of the reference signals (e.g., positioning one or more reference signal symbols in extension carriers and/or carrier segments) are described.

Reference signals configured for use with extension carriers and/or carrier segments are described. Reference signals for extension carriers and/or carrier segments may include demodulation reference signals (e.g., user equipment-specific reference signals), cell-specific reference signals, and channel-state information reference signals. Methods, systems and apparatuses for configuring extension carriers and/or carrier segments with one or more of the reference signals (e.g., positioning one or more reference signal symbols in extension carriers and/or carrier segments) are described.

Systems and methods for 5G telecommunication call event timestamping to assist in debugging the flow of call events, such as during roaming, handover operations, or when user equipment (UE) accesses a different network slice. Specifically, a system for the provision of wireless telecommunication services can include a core network having a first UDR and a first UDM. The first UDM, upon receiving communication from one or more network functions, can communicate a first message to the first UDR. The first message can include a first timestamp indicating to the first UDR a first time that the first message was transmitted.