ICALEPCS2023 - List of Keywords (device-server)

Paper	Title	Other Keywords	Page
MO4BCO04	Improving Control System Software Deployment at MAX IV	TANGO, software, controls, Linux	201
	B. Bertrand, A. Freitas, A.F. Joubert MAX IV Laboratory, Lund University, Lund, Sweden J.T. Kowalczyk S2Innovation, Kraków, Poland
	The control systems of large research facilities like synchrotrons are composed of many different hardware and software parts. Deploying and maintaining such systems require proper workflows and tools. MAX IV has been using Ansible to manage and deploy its full control system, both software and infrastructure, for many years with great success. We detail further improvements: defining Tango devices as configuration, and automated deployment of specific packages when tagging Gitlab repos. We have now adopted Conda as our primary packaging tool instead of the Red Hat Package Manager (RPM). This allows us to keep up with the rapidly changing Python ecosystem, while at the same time decoupling Operating System upgrades from the control system software. For better management, we have developed a Prometheus-based tool that reports on the installed versions of each package on each machine. This paper will describe our workflow and discuss the benefits and drawbacks of our approach.
	Slides MO4BCO04 [1.969 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO4BCO04
About •	Received ※ 06 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 26 October 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUMBCMO32	DevPylon, DevVimba: Game Changers at LULI	TANGO, laser, controls, software	441
	S. Marchand, J.M. Bruneau, L. Ennelin, S.M. Minolli, M. Sow LULI, Palaiseaux, France
	Funding: CNRS, École polytechnique, CEA, Sorbonne Université Apollon, LULI2000 and HERA are three Research Infrastructures of the Centre national de la recherche scientifique (CNRS), École polytechnique (X), Commissariat à l’Énergie Atomique et aux Energies Alternatives (CEA) and Sorbonne University (SU). Past-commissioning phase, Apollon is a four beam laser, multi-petawatt laser facility fitted with instrumentation technologies on the cutting edge with two experimental areas (short–up to 1m–and long focal–up to 20m, 32m in the future). To monitor the laser beam characteristics through the interaction chambers, more than 500 devices are distributed in the facility and controlled through a Tango bus. This poster focuses on two linked software components: DevPylon and DevVimba. Each affected to a type of cameras: Basler via PyPylon wrapper interface of Pylon Software suite and Prosilica via Vimba SDK library, respectively. These two Tango devices are Python scripts constructed and generated via POGO. They offer a specific way to monitor more than 100 CCD cameras in the facility at an image acquisition and display rate up to 10Hz for a maximum of 300-shot at 1-minute rate per day and on an always-ON mode throughout the day.
	Slides TUMBCMO32 [1.030 MB]
	Poster TUMBCMO32 [1.421 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO32
About •	Received ※ 09 October 2023 — Revised ※ 20 November 2023 — Accepted ※ 20 December 2023 — Issued ※ 20 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TH1BCO03	The Tango Controls Collaboration Status in 2023	TANGO, controls, Windows, software	1100
	T. Juerges SKAO, Macclesfield, United Kingdom G. Abeillé SOLEIL, Gif-sur-Yvette, France R.J. Auger-Williams OSL, St Ives, Cambridgeshire, United Kingdom B. Bertrand, V. Hardion, A.F. Joubert MAX IV Laboratory, Lund University, Lund, Sweden R. Bourtembourg, A. Götz, D. Lacoste, N. Leclercq ESRF, Grenoble, France T. Braun byte physics, Annaburg, Germany G. Cuní, C. Pascual-Izarra, S. Rubio-Manrique ALBA-CELLS, Cerdanyola del Vallès, Spain Yu. Matveev DESY, Hamburg, Germany M. Nabywaniec, T.R. Noga, L. Żytniak S2Innovation, Kraków, Poland L. Pivetta Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	Since 2021 the Tango Controls collaboration has improved and optimised its efforts in many areas. Not only have Special Interest Group meetings (SIGs) been introduced to speed up the adoption of new technologies or improvements, the kernel has switched to a fixed six-month release cycle for quicker adoption of stable kernel versions by the community. CI/CD provides now early feedback on test failures and compatibility issues. Major code refactoring allowed for a much more efficient use of developer resources. Relevant bug fixes, improvements and new features are now adopted at a much higher rate than ever before. The community participation has also noticeably improved. The kernel switched to C++14 and the logging system is undergoing a major refactoring. Among many new features and tools is jupyTango, Jupyter Notebooks on Tango Controls steroids. PyTango is now easy to install via binary wheels, old Python versions are no longer supported, the build-system is switching to CMake, and releases are now made much closer to stable cppTango releases.
	Slides TH1BCO03 [1.357 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH1BCO03
About •	Received ※ 05 October 2023 — Revised ※ 24 October 2023 — Accepted ※ 21 November 2023 — Issued ※ 13 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TH2AO06	SKA Tango Operator	TANGO, controls, network, software	1155
	M. Di Carlo, M. Dolci INAF - OAAB, Teramo, Italy P. Harding, U.Y. Yilmaz SKAO, Macclesfield, United Kingdom J.B. Morgado Universidade do Porto, Faculdade de Ciências, Porto, Portugal P. Osorio Atlar Innovation, Pampilhosa da Serra, Portugal
	Funding: INAF The Square Kilometre Array (SKA) is an international effort to build two radio interferometers in South Africa and Australia, forming one Observatory monitored and controlled from global headquarters (GHQ) based in the United Kingdom at Jodrell Bank. The software for the monitoring and control system is developed based on the TANGO-controls framework, which provide a distributed architecture for driving software and hardware using CORBA distributed objects that represent devices that communicate with ZeroMQ events internally. This system runs in a containerised environment managed by Kubernetes (k8s). k8s provides primitive resource types for the abstract management of compute, network and storage, as well as a comprehensive set of APIs for customising all aspects of cluster behaviour. These capabilities are encapsulated in a framework (Operator SDK) which enables the creation of higher order resources types assembled out of the k8s primitives (\verb\|Pods\|, \verb\|Services\|, \verb\|PersistentVolumes\|), so that abstract resources can be managed as first class citizens within k8s. These methods of resource assembly and management have proven useful for reconciling some of the differences between the TANGO world and that of Cloud Native computing, where the use of Custom Resource Definitions (CRD) (i.e., Device Server and DatabaseDS) and a supporting Operator developed in the k8s framework has given rise to better usage of TANGO-controls in k8s.
	Slides TH2AO06 [2.622 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH2AO06
About •	Received ※ 27 September 2023 — Revised ※ 24 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 21 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MO4BCO04

Improving Control System Software Deployment at MAX IV

TANGO, software, controls, Linux

201

B. Bertrand, A. Freitas, A.F. Joubert
MAX IV Laboratory, Lund University, Lund, Sweden
J.T. Kowalczyk
S2Innovation, Kraków, Poland

The control systems of large research facilities like synchrotrons are composed of many different hardware and software parts. Deploying and maintaining such systems require proper workflows and tools. MAX IV has been using Ansible to manage and deploy its full control system, both software and infrastructure, for many years with great success. We detail further improvements: defining Tango devices as configuration, and automated deployment of specific packages when tagging Gitlab repos. We have now adopted Conda as our primary packaging tool instead of the Red Hat Package Manager (RPM). This allows us to keep up with the rapidly changing Python ecosystem, while at the same time decoupling Operating System upgrades from the control system software. For better management, we have developed a Prometheus-based tool that reports on the installed versions of each package on each machine. This paper will describe our workflow and discuss the benefits and drawbacks of our approach.

Slides MO4BCO04 [1.969 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO4BCO04

About •

Received ※ 06 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 26 October 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUMBCMO32

DevPylon, DevVimba: Game Changers at LULI

TANGO, laser, controls, software

441

S. Marchand, J.M. Bruneau, L. Ennelin, S.M. Minolli, M. Sow
LULI, Palaiseaux, France

Funding: CNRS, École polytechnique, CEA, Sorbonne Université
Apollon, LULI2000 and HERA are three Research Infrastructures of the Centre national de la recherche scientifique (CNRS), École polytechnique (X), Commissariat à l’Énergie Atomique et aux Energies Alternatives (CEA) and Sorbonne University (SU). Past-commissioning phase, Apollon is a four beam laser, multi-petawatt laser facility fitted with instrumentation technologies on the cutting edge with two experimental areas (short–up to 1m–and long focal–up to 20m, 32m in the future). To monitor the laser beam characteristics through the interaction chambers, more than 500 devices are distributed in the facility and controlled through a Tango bus. This poster focuses on two linked software components: DevPylon and DevVimba. Each affected to a type of cameras: Basler via PyPylon wrapper interface of Pylon Software suite and Prosilica via Vimba SDK library, respectively. These two Tango devices are Python scripts constructed and generated via POGO. They offer a specific way to monitor more than 100 CCD cameras in the facility at an image acquisition and display rate up to 10Hz for a maximum of 300-shot at 1-minute rate per day and on an always-ON mode throughout the day.

Slides TUMBCMO32 [1.030 MB]

Poster TUMBCMO32 [1.421 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO32

About •

Received ※ 09 October 2023 — Revised ※ 20 November 2023 — Accepted ※ 20 December 2023 — Issued ※ 20 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TH1BCO03

The Tango Controls Collaboration Status in 2023

TANGO, controls, Windows, software

1100

T. Juerges
SKAO, Macclesfield, United Kingdom
G. Abeillé
SOLEIL, Gif-sur-Yvette, France
R.J. Auger-Williams
OSL, St Ives, Cambridgeshire, United Kingdom
B. Bertrand, V. Hardion, A.F. Joubert
MAX IV Laboratory, Lund University, Lund, Sweden
R. Bourtembourg, A. Götz, D. Lacoste, N. Leclercq
ESRF, Grenoble, France
T. Braun
byte physics, Annaburg, Germany
G. Cuní, C. Pascual-Izarra, S. Rubio-Manrique
ALBA-CELLS, Cerdanyola del Vallès, Spain
Yu. Matveev
DESY, Hamburg, Germany
M. Nabywaniec, T.R. Noga, L. Żytniak
S2Innovation, Kraków, Poland
L. Pivetta
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

Since 2021 the Tango Controls collaboration has improved and optimised its efforts in many areas. Not only have Special Interest Group meetings (SIGs) been introduced to speed up the adoption of new technologies or improvements, the kernel has switched to a fixed six-month release cycle for quicker adoption of stable kernel versions by the community. CI/CD provides now early feedback on test failures and compatibility issues. Major code refactoring allowed for a much more efficient use of developer resources. Relevant bug fixes, improvements and new features are now adopted at a much higher rate than ever before. The community participation has also noticeably improved. The kernel switched to C++14 and the logging system is undergoing a major refactoring. Among many new features and tools is jupyTango, Jupyter Notebooks on Tango Controls steroids. PyTango is now easy to install via binary wheels, old Python versions are no longer supported, the build-system is switching to CMake, and releases are now made much closer to stable cppTango releases.

Slides TH1BCO03 [1.357 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH1BCO03

About •

Received ※ 05 October 2023 — Revised ※ 24 October 2023 — Accepted ※ 21 November 2023 — Issued ※ 13 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TH2AO06

SKA Tango Operator

TANGO, controls, network, software

1155

M. Di Carlo, M. Dolci
INAF - OAAB, Teramo, Italy
P. Harding, U.Y. Yilmaz
SKAO, Macclesfield, United Kingdom
J.B. Morgado
Universidade do Porto, Faculdade de Ciências, Porto, Portugal
P. Osorio
Atlar Innovation, Pampilhosa da Serra, Portugal

Funding: INAF
The Square Kilometre Array (SKA) is an international effort to build two radio interferometers in South Africa and Australia, forming one Observatory monitored and controlled from global headquarters (GHQ) based in the United Kingdom at Jodrell Bank. The software for the monitoring and control system is developed based on the TANGO-controls framework, which provide a distributed architecture for driving software and hardware using CORBA distributed objects that represent devices that communicate with ZeroMQ events internally. This system runs in a containerised environment managed by Kubernetes (k8s). k8s provides primitive resource types for the abstract management of compute, network and storage, as well as a comprehensive set of APIs for customising all aspects of cluster behaviour. These capabilities are encapsulated in a framework (Operator SDK) which enables the creation of higher order resources types assembled out of the k8s primitives (\verb|Pods|, \verb|Services|, \verb|PersistentVolumes|), so that abstract resources can be managed as first class citizens within k8s. These methods of resource assembly and management have proven useful for reconciling some of the differences between the TANGO world and that of Cloud Native computing, where the use of Custom Resource Definitions (CRD) (i.e., Device Server and DatabaseDS) and a supporting Operator developed in the k8s framework has given rise to better usage of TANGO-controls in k8s.

Slides TH2AO06 [2.622 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH2AO06

About •

Received ※ 27 September 2023 — Revised ※ 24 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 21 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)