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doesn’t require any configuration. 1.3.2. ELASTICSEARCH APPENDER The Decanter Elasticsearch Appender stores the data (coming from the collectors) into an Elasticsearch instance. It transforms the data as configuration file. Apache Karaf Decanter 2.x - Documentation - 24 1.3.3. FILE The Decanter File appender stores the collected data in a CSV file. The decanter-appender-file feature installs the file appender: appender: karaf@root()> feature:install decanter-appender-file By default, the file appender stores the collected data in ${karaf.data}/decanter file. You can change the file where to store the data using

components The way developers write their application to interact with other services and data stores Programming models Distributed Application Runtime (Dapr) Open Application Model (OAM) https://oam tracing Extensible HTTP API gRPC API Application code Dapr self-hosted Sidecar architecture State stores Publish and subscribe Resource bindings Scanning for events Application Dapr API Dapr API management Deploys and manages Dapr Any cloud or edge infrastructure Publish and subscribe State stores Resource bindings Input/output Pod C O N T A I N E R Placement Pod C O N T A I N E R Sidecar

• RocksDB State backends 7 Vasiliki Kalavri | Boston University 2020 MemoryStateBackend • Stores state as regular objects on TaskManager’s heap • Low read/write latencies • OutOfMemoryError if large is lost in case of failure • Use only for development and debugging purposes! FsStateBackend • Stores state on TaskManager’s heap but checkpoints it to a remote file system • In-memory speed for local pauses Which backend to choose? 8 Vasiliki Kalavri | Boston University 2020 RocksDBStateBackend • Stores all state into embedded RocksDB instances • Accesses require de/serialization • Checkpoints state

components The way developers write their application to interact with other services and data stores Programming Models dapr: Distributed Application Runtime Building blocks for building scalable tracing Extensible… HTTP/gRPC APIs Any cloud or edge infrastructure Dapr self-hosted State stores Publish and subscribe Resource bindings Scanning for events Application Dapr API Dapr API Sidecar Dapr Kubernetes-hosted Publish and subscribe Components Component management State stores Input/output bindings Deploys and manages Dapr Any cloud or edge infrastructure Dapr API HTTP

KARAF_DATA is the location of the data folder, where Karaf stores temporary files. • KARAF_ETC is the location of the etc folder, where Karaf stores configuration files. • KARAF_BASE is the Karaf base folder shell console using SSH or client (see the Connect section in this page). Clean start Apache Karaf stores all previously applications installed and changes that you did in the data folder. If you want to interface. • hostKey is the location of the host.key file. By defaut, it uses etc/ host.key. This file stores the public and private key pair of the SSHd server. defined in etc/system.properties. See the Security

TMC subscription, operators can use it to create reports of audit events. TMC also collects and stores logs and audit events for 60 days. 3.1.9.4 Anthos Google GKE clusters are GKE clusters running for clusters and nodes out of the box. It has a cron that runs the scan as often as you want and stores the reports in a PV. It offers additional compliance standards like ACSC, NIST and NERC and offers Private registry and image management o A container image registry is a service like Docker Hub that stores container images. A private registry allows you to share your custom base images A Buyer’s Guide

automatically . . . . . . . . . . . . . . . . . 147 10 Technical background 148 10.1 Where VirtualBox stores its files . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 10.1.1 Machines created by VirtualBox types of image files: • A dynamically expanding file will only grow in size when the guest actually stores data on its virtual hard disk. It will therefore initially be small on the host hard drive and only number of snapshots – the only limitation is the size of your disks. Keep in mind that each snapshot stores the state of the virtual machine and thus needs some disk space; see the next section for details

automatically . . . . . . . . . . . . . . . . . 152 10 Technical background 153 10.1 Where VirtualBox stores its files . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 10.1.1 Machines created by VirtualBox types of image files: • A dynamically expanding file will only grow in size when the guest actually stores data on its virtual hard disk. It will therefore initially be small on the host hard drive and only of snapshots you can take. The only practical limitation is disk space on your host: each snapshot stores the state of the virtual machine and thus occupies some disk space. (See the next section for details

. . . . . . . . . . . . . . 150 5 Contents 10 Technical background 151 10.1 Where VirtualBox stores its files . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 10.1.1 Machines created by VirtualBox types of image files: • A dynamically expanding file will only grow in size when the guest actually stores data on its virtual hard disk. It will therefore initially be small on the host hard drive and only of snapshots you can take. The only practical limitation is disk space on your host: each snapshot stores the state of the virtual machine and thus occupies some disk space. (See the next section for details