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Watch why SPM is the leading healthcare software platform for device reprocessing professionals. BONUS! Learn about ORi, our surgery system integration.

Log in to My Spektrum Get easy, online access to your Spektrum™ software updates, product registration and personalized settings. AVENTICS™ Series SPM Smart Pneumatics Monitor The AVENTICS Smart Pneumatics Monitor is the central module for networked pneumatics. It provides you with reliable information on the state of wear of actuators as well as on the energy efficiency of your pneumatic systems - without the need to involve machine controls.

The first sterile processing information system on the market, SPM has led the way in meeting the challenges of today’s operating rooms with a consistent track record of system innovation. The gold standard in instrument tracking, SPM gives hospitals information and tools to improve quality and efficiency with straightforward guided workflows for all processes.

What truly sets SPM apart is its execution. We provide client hospitals with a personalized implementation project plan and individual on-site staff training. We are the only SPD software firm to take full ownership of the entire database build, from customer information, surgical devices, vendor catalogs, and we offer extensive historical expertise and know how. And you’ll experience that level of investment from us even long after your system has been installed.

As a Microsystems customer, you’ll benefit from a dedicated client services account manager who will drive system utilization and proficiency as well as our 24/7 help desk to resolve technical issues. You’ll also have the opportunity to participate in educational webinars and hands-on workshops as well as to attend our Customer Education Programs, where you can earn continuing education credits while learning more about SPM and sharing experiences and ideas with other SPM users.

Improve care

By tracking when instrument trays will be needed in OR and facilitating strict adherence to sterilization guidelines, SPM reduces risk and improves clinical outcomes.

Automate information

SPM automates data capture and information availability and sharing throughout the sterilization process, providing electronic documentation for each and every instrument tray.

Return on investment

Through productivity gains, improvement of quality outcomes and overall resource management, hospitals normally see savings greater than the investment in the software within twelve months.

Machine and device interfaces

SPM integrates with your existing equipment and systems to further automate documentation and communication.

AAMI Conforming Documentation ›

Drivers Spm Micro
  • Biological Monitoring Interface (ARi)
    Automatic real-time documentation of biological indicator results directly from your biological monitoring device into the SPM application.
  • Washer Interface (WDi)
    Elevate the documentation of washer cycles and parameters by automatically bringing the information from the washer to SPM application.
  • Steam Sterilizer Interface (SSi)
    Simplify and streamline steam sterilization documentation requirements by connecting all steam sterilizers to SPM application.
  • Sterrad Interface (NXi)
    Take your low-temperature sterilization documentation to the next level by interfacing all of your Sterrad NX Products with the SPM application.
  • VPro Interface (VPi)
    With Microsystems VPro interface load and cycle information is automatically taken from the VPro sterilizer into SPM application making the documentation efficient and accurate.
  • Steri-Vac Interface (SVi)
    Documenting EtO becomes seamless by interfacing the 3M Steri-Vac equipment with the SPM application.

Scope management ›

  • AER Interface (EVi)
    Guided workflows coupled with connectivity to your AER interface for high quality outcomes and error-free SGNA conforming documentation.

Estimated reading time: 8 minutes

Docker includes multiple logging mechanisms to help youget information from running containers and services.These mechanisms are called logging drivers. Each Docker daemon has a defaultlogging driver, which each container uses unless you configure it to use adifferent logging driver, or “log-driver” for short.

As a default, Docker uses the json-file logging driver, whichcaches container logs as JSON internally. In addition to using the logging driversincluded with Docker, you can also implement and use logging driver plugins.

Tip: use the “local” logging driver to prevent disk-exhaustion

By default, no log-rotation is performed. As a result, log-files stored by thedefault json-file logging driver logging driver can cause a significant amount of disk space to be used for containers that generate muchoutput, which can lead to disk space exhaustion.

Docker keeps the json-file logging driver (without log-rotation) as a defaultto remain backward compatibility with older versions of Docker, and for situationswhere Docker is used as runtime for Kubernetes.


For other situations, the “local” logging driver is recommended as it performslog-rotation by default, and uses a more efficient file format. Refer to theConfigure the default logging driversection below to learn how to configure the “local” logging driver as a default,and the local file logging driver page for more details about the“local” logging driver.

Configure the default logging driver

To configure the Docker daemon to default to a specific logging driver, set thevalue of log-driver to the name of the logging driver in the daemon.jsonconfiguration file. Refer to the “daemon configuration file” section in thedockerd reference manualfor details.

The default logging driver is json-file. The following example sets the defaultlogging driver to the local log driver:

If the logging driver has configurable options, you can set them in thedaemon.json file as a JSON object with the key log-opts. The followingexample sets two configurable options on the json-file logging driver:

Restart Docker for the changes to take effect for newly created containers.Existing containers do not use the new logging configuration.



log-opts configuration options in the daemon.json configuration file mustbe provided as strings. Boolean and numeric values (such as the value formax-file in the example above) must therefore be enclosed in quotes (').

If you do not specify a logging driver, the default is json-file.To find the current default logging driver for the Docker daemon, rundocker info and search for Logging Driver. You can use the followingcommand on Linux, macOS, or PowerShell on Windows:


Drivers spm microsoft

Changing the default logging driver or logging driver options in the daemonconfiguration only affects containers that are created after the configurationis changed. Existing containers retain the logging driver options that wereused when they were created. To update the logging driver for a container, thecontainer has to be re-created with the desired options.Refer to the configure the logging driver for a containersection below to learn how to find the logging-driver configuration of acontainer.

Configure the logging driver for a container

When you start a container, you can configure it to use a different loggingdriver than the Docker daemon’s default, using the --log-driver flag. If thelogging driver has configurable options, you can set them using one or moreinstances of the --log-opt <NAME>=<VALUE> flag. Even if the container uses thedefault logging driver, it can use different configurable options.

The following example starts an Alpine container with the none logging driver.

To find the current logging driver for a running container, if the daemonis using the json-file logging driver, run the following docker inspectcommand, substituting the container name or ID for <CONTAINER>:

Configure the delivery mode of log messages from container to log driver

Drivers Spm Microsoft

Docker provides two modes for delivering messages from the container to the logdriver:

  • (default) direct, blocking delivery from container to driver
  • non-blocking delivery that stores log messages in an intermediate per-containerring buffer for consumption by driver

The non-blocking message delivery mode prevents applications from blocking dueto logging back pressure. Applications are likely to fail in unexpected ways whenSTDERR or STDOUT streams block.


When the buffer is full and a new message is enqueued, the oldest message inmemory is dropped. Dropping messages is often preferred to blocking thelog-writing process of an application.

The mode log option controls whether to use the blocking (default) ornon-blocking message delivery.

The max-buffer-size log option controls the size of the ring buffer used forintermediate message storage when mode is set to non-blocking. max-buffer-sizedefaults to 1 megabyte.

The following example starts an Alpine container with log output in non-blockingmode and a 4 megabyte buffer:

Use environment variables or labels with logging drivers

Some logging drivers add the value of a container’s --env -e or --labelflags to the container’s logs. This example starts a container using the Dockerdaemon’s default logging driver (let’s assume json-file) but sets theenvironment variable os=ubuntu.

If the logging driver supports it, this adds additional fields to the loggingoutput. The following output is generated by the json-file logging driver:

Supported logging drivers

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The following logging drivers are supported. See the link to each driver’sdocumentation for its configurable options, if applicable. If you are usinglogging driver plugins, you maysee more options.

noneNo logs are available for the container and docker logs does not return any output.
localLogs are stored in a custom format designed for minimal overhead.
json-fileThe logs are formatted as JSON. The default logging driver for Docker.
syslogWrites logging messages to the syslog facility. The syslog daemon must be running on the host machine.
journaldWrites log messages to journald. The journald daemon must be running on the host machine.
gelfWrites log messages to a Graylog Extended Log Format (GELF) endpoint such as Graylog or Logstash.
fluentdWrites log messages to fluentd (forward input). The fluentd daemon must be running on the host machine.
awslogsWrites log messages to Amazon CloudWatch Logs.
splunkWrites log messages to splunk using the HTTP Event Collector.
etwlogsWrites log messages as Event Tracing for Windows (ETW) events. Only available on Windows platforms.
gcplogsWrites log messages to Google Cloud Platform (GCP) Logging.
logentriesWrites log messages to Rapid7 Logentries.


When using Docker Engine 19.03 or older, the docker logs commandis only functional for the local, json-file and journald logging drivers.Docker 20.10 and up introduces “dual logging”, which uses a local buffer thatallows you to use the docker logs command for any logging driver. Refer toreading logs when using remote logging drivers for details.

Limitations of logging drivers

  • Reading log information requires decompressing rotated log files, which causesa temporary increase in disk usage (until the log entries from the rotatedfiles are read) and an increased CPU usage while decompressing.
  • The capacity of the host storage where the Docker data directory residesdetermines the maximum size of the log file information.
docker, logging, driver