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SAP Data Hub e SUSE Container as a Service Platform
The document discusses the collaboration between SUSE and SAP, highlighting the SAP Data Hub and its functionalities in managing and orchestrating data across various sources for intelligent enterprises. It outlines the architecture and benefits of utilizing the SUSE Container as a Service Platform, as well as the significance of data governance and transformation in addressing business challenges. Additionally, the document presents enhancements in the SAP Data Hub, emphasizing its role in simplifying data visibility and compliance while leveraging machine learning capabilities.
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SAP Data Hub e SUSE Container as a Service Platform
- 1. SAP Data Hub SUSEContainer as a Service Platform Data Intelligence for the Intelligent Enterprise Alessandro Renna Sales Engineer SUSE alessandro.renna@suse.com Nicola Bertini Senior Presales Specialist Platform & Technology SAP nicola.bertini@sap.com
- 2. Agenda ļ¬ About theSAP Linux Lab and the SUSE/SAP Alliance ļ¬ SAP Data Hub on CaaS Platform: Overview and Architecture ļ¬ SAP Data Hub: Data intelligence for the Intelligent Enterprise ļ¬ Demo ļ¬ Q&A
- 3.
- 4. About the SAPLinux Lab ļ¬ Founded in 1999 (20 th anniversary this year!) ļ¬ Interdisciplinary team with employees from SAP, Hard- and Software vendors ļ¬ Innovation projects ļ¬ Development support ļ¬ 3 rd level customer support ļ¬ Our mission: Make Linux #1 platform for SAP workloads
- 5. + Unrivaled Relationship MakingSUSE the Smart Choice for SAP Workloads ļ¬ 95%+ of SAP HANA customers rely on SUSE Linux ļ¬ 70% of SAP NetWeaver-on-Linux customers rely on SUSE Linux ļ¬ 20 years of joint testing and development at the SAP LinuxLab ļ¬ Seamless support from SAP and SUSE ļ¬ SLES for SAP is the #1 choice for SAP and SAP customers ļ¬ SUSE OpenStack Cloud & SUSE Enterprise Storage power SAP Cloud Platform ļ¬ Joint collaboration on Cloud Foundry ļ¬ Data Hub 2 validated with SUSE Container as a Service Platform
- 6. 6 SUSE Solutions forSAP SUSE Linux Enterprise Server for SAP Applications SAP Cloud Platform SUSE Open Stack Cloud SUSE Enterprise Storage on-premise and in the cloud High Availability SAP HANA, S/4 HANA, SAP NetWeaver, ... SAP Data Hub SUSE CaaS Platform SUSE Enterprise Storage
- 7. SAP Data Huband where it runs
- 8. SAP Data Hub EnterpriseData SAP Data Hub Big Data Lakes MDM, GDM Cloud Apps BI 3 rd Party Apps Enterprise Apps EDW, Data Marts Data Sharing Data Pipelining Data Governance
- 9. SAP Data Hub2 - Overview SUSE Container as a Service Platform SUSE Enterprise Storage SUSE Linux Enterprise Server for SAP Applications SAP S/4HANA SAP BW/4 HANA SAP HANA Other Databases SAP Cloud Applications 3 rd Party Apps Connected Apps Data Lake, Machine Learning, Predictive Analytics AWS S3, GCP GCS Azure ADL, WASB SAP Data Hub Data Discovery & Pipelines Orchestration & Monitoring Ingestion & Integration Data Storage Hadoop Cloud Storagescontainerized
- 10. Diagnostics Metadata Explorer Spark onK8S Flow Agent SUSE CaaS Platform Kubernetes Cluster SAP Data Hub Foundation Architectural Overview: SAP Data Hub on SUSE CaaS Platform Connection ManagementDatabase Tools Vora Database Internal SAP HANA Pipeline Modeler System Management Tenant Applications / Services (Managed by System Management) optional Hadoop Cluster Vora Spark Extension HDFS / Spark containerized not containerized Docker Registry
- 11. SAP Data Hub2.x SAP Data Hub Validation SUSE Container as a Service Platform 3.0 SUSE Enterprise Storage validated for https://www.suse.com/c/suse-caas-platform-3-validated-for-sap-data-hub-2-5/
- 12. SUSE Container asa Service Platform
- 13. SUSE CaaS Platform Speedapplication delivery to improve business agility SUSE CaaS Platform is a Kubernetes-based container management solution used by application development and DevOps teams to deploy, manage, and scale container- based applications and services. 13
- 14. 14 SUSE CaaS Platform 3Key Technology Components One Enterprise Platform
- 15. SUSE CaaS Platform SLES Automation Configuration& Management of each node Persistent Storage (local disk, NFS, SES) Networking Registry Security Logging Orchestration (Kubernetes) Services (e.g. Deployment Dashboard) Container Container Container Container Container Container Container Container Container Container Runtime & Packaging SUSE Linux Enterprise (Container Host OS) (Physical) Infrastructure
- 16.
- 17. 17 The Data ExplosionContinues Mobile Data Emails Transactional Data Videos Medical Data IoT Data 175 ZB by 2025
- 18. 18 Limiting Factors of TraditionalEnterprise Storage Difficult to Scale and Manage Data Growth Expensive Wonāt Extend to the Software-defined Data Center $
- 19. 19 Powered by CephTechnology SUSE Enterprise Storage Architecture
- 20. 20 SUSE Enterprise Storage UnlimitedScalability with Self Managing Technology Monitor Nodes Management Node Object Storage Block Storage File System Storage Nodes 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Object Object Object Object Object Object Object Object
- 21. Bringing all piecestogether SUSE Container as a Service Platform cluster SUSE Enterprise Storage cluster SAP Data Hub Linux Workstation with Kubernetes client, Docker, Helm, Data Hub Installer Private Docker Registry SLES 12/15 with Docker Registry and Portus
- 22. SAP Data Hub DataIntelligence for the Intelligent Enterprise
- 23. 23PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē 23PUBLIC 74% say their data landscape is so complex that it limits agility Data sprawl led to tool sprawl, causing siloed data and limited visibility to global data assets Enterprises are struggling with complexity Source: SAP āState of the Big Dataā study, KPMG CEO Outlook, Gartner, HBR
- 24. 24PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē 24PUBLIC Regulatory compliance can cost as much as $7k per employee $14.5M is the average annual cost for organizations that experience data protection non-compliance problems Enterprises are struggling with compliance Source: SAP āState of the Big Dataā study, KPMG CEO Outlook, Gartner, HBR Companies paid $24.4 Billion 2017 Regulatory Fines Companies paid ā¬866 Million 2017 Regulatory Fines
- 25. 25PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē 25PUBLIC SAP Data Hub addresses todayās challenges and helps you reimagine your business processes Simplify data visibility Trust your data Seamless Compliance Maximize the value of your data ļ§ Analyze and correlate diverse multifaceted data ļ§ Across distributed landscapes ļ§ Simplify developer lifecycle ļ§ Discover and profile data ļ§ Automate data refinement and quality checks ļ§ Track data lineage ļ§ Crawl, gather and store metadata ļ§ One central location for monitoring data quality ļ§ Anonymize data to ensure privacy ļ§ Process and curate diverse data ļ§ Transform raw data into reusable data assets ļ§ Operationalize machine learning
- 26. 26PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē SAP Data Hub orchestrates diverse data from disparate sources into reimagined business processes Databases Applications Data Marts Third-Party Data Data WarehousesData Lakes
- 27. 27PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē IoT Ingestion and Orchestration Data Science and Machine Learning Data WarehousingBusiness Application Transformation Transform IoT event streams into enterprise-ready data, and derive actionable insights Streamline data science and machine learning, from modeling and development to operations, across all enterprise data assets Build a multifaceted data warehouse, across diverse and distributed data assets Streamline innovation initiatives around Business Applications, supporting enterprise transformation programs Use SAP Data Hub to reimagine your business processes using ā¦ Metadata Catalog and Governance Automate metadata discovery, understand data sources, prepare and govern according to data standards, privacy, and security
- 28. 28PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē SAP Data Hub Simplifies Access to Distributed Data Assets No lift and shift. No storing. No point-to-point. No matter the type. No matter the location. No Silos. Databases Internal Applications Data Marts Third-Party Data Data Warehouses Data Lakes External Applications
- 29. 29PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē SAP Data Hub Maximizes Value from Distributed Data Assets Discover your data landscape and its interconnections. Refine enrich, transform, reuse, curate Govern and secure data assets transparently with compliance Orchestrate your data using modular data pipelines
- 30. 30PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē DISCOVER Gain a clean view of your data landscape interconnections, no matter where the data lives Data Ingestion Streaming Unified view of data landscape Evolve data models more quickly in a highly visual environment Data Ingestion Batch Data Ingestion Replication Data Preparation Event Stream Integration Speech Recognition Data Profiling Landscape Management APIs
- 31. 31PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē REFINE Transform data assets into trusted information with a comprehensive set of data quality operators Machine Learning Data Pipeline Apply robust operators to refine and transform data Data Cleansing Data Ingestion Replication Data Masking Data Quality Data Transformatio n Unstructured Processing (speech/image) Text Analytics Image Processing Custom Code Predictive Analytics FINDHIDDEN PATTERNS ENRICH DATA ADVANCED ANALYTICSENGINES
- 32. 32PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē GOVERN View, understand, and share your data, and see how it impacts data models and results downstream Metadata Cataloging Data Tagging Data Anonymization Authorization & Access Security Data Preparation Audit Analyze Data Lineage METADATA MANAGEMENT DATAACCESS ANDSECURITY DATALINEAGE& IMPACTANALYSIS Metadata Explorer Analyze your data, where it comes from, and how it is used
- 33. 33PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē Structured Data Unstructured Data Streaming Data Big Data Services Note: this slide represents only a non-exhaustive subset of the systems accessible via Data Hub SAP HANASAP ABAP ODP Object SAP Data Services SAP BW SQL Sever DB2 SQL Open API Oracle MySQL ORCHESTRATE: Connect to any source Modular Data Pipelines Connected to Any Source Using Diverse Processing Engines and Distributed Infrastructures Leonardo IoT Services
- 34. 34PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē SAP HANA Machine Learning ORCHESTRATE: Diverse processing engines SAP HANA Graph SAP HANA Spatial Apache Kafka SAP ENGINES OPENSOURCE CNGINES SAP HANA Text Analytics SAP Leonardo Machine Learning SAP Data Services APIs Modular Data Pipelines Connected to Any Source Using Diverse Processing Engines and Distributed Infrastructures
- 35. 36PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē Applications Cloud Datastores Data Marts Third-Party Data Data Warehouses Databases Messaging systems Custom code Speech recognition Stream platforms Data validation Data transformation Data masking Data Preparation Data quality Data cleansing Machine learning Predictive analytics Metadata cataloging Event stream integration Data profiling Image processing Text analytics Graph processing Data ingestion Video processing Audio Video Image Docs Social Weather Subscriptions Email Transactions Text Geospatial Clickstream Analytics & BI Automated processes Data-driven apps Stream Subscribe TransformEnrich Mask Custom Code Image Processing Advanced Analytics Advanced Analytics Machine Learning Refine Publish Trigger Action SAP Data Hub extracts value from distributed data assets Enabling you to Reimagine Business Processes Ingest Validate Big and Diverse Data Applied Intelligence Reimagined Business Processes
- 36. 37PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē Key enhancements in SAP Data Hub 2.5 Deployment & Operations Metadata & Data Excellence Connectivity & Processing ā¢ Simplified installation process and installation without internet access ā¢ Connectivity for High Availability setups ā¢ Kerberos support for Hadoop services ā¢ Huawei cloud certified as deployment environment ā¢ Metadata extraction for SAP S/4HANA & SAP Business Suite systems ā¢ Embedded self-service data preparation ā¢ Extend anonymization capabilities included in pipeline development model ā¢ SQL processing for files ā¢ Node.js as an embedded execution environment ā¢ Visualization concept to support pipeline and application development ā¢ Leveraging SAP Cloud Platform Open Connectors to consume external sources Enterprise Application Integration ā¢ Standardized interface to integrate SAP Cloud solutions ā¢ Orchestration of SAP Cloud Platform integration to interact with processes ā¢ Unified integration model to consume and interact with SAP S/4HANA & SAP Business Suite systems
- 37. 38PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē 2020 ā Product direction1Recent innovations 2019 ā Planned innovations1 2021 ā Product vision1 1. This is the current state of planning and may be changed by SAP at any time without notice. SAP Data Hub Roadmap Product road map overview ā Key innovations Metadata Governance ā¢ Embedded data preparation capabilities ā¢ Metadata catalog, and search ā¢ Visual data lineage for catalog objects Data Pipelining & Processing ā¢ Embedded ML: Tensor flow, Spark ML, Python, R, integration with SAP Leonardo Machine Learning Foundation ā¢ Data transfer SAP BW/4 & SAP HANA ā¢ Predefined anonymization, data masking & data quality operations ā¢ SQL access on Data Lake files Application Integration and Content ā¢ Enhanced connectivity e.g. DB2, MS SQL Server, MySQL, Google Big Query ā¢ Unified API for integration with SAP cloud solutions (e.g. Fieldglass, Concur), ā¢ Integration with SAP CP-CPI Deployment ā¢ Support for public cloud (AWS, Azure, Google Cloud Platform, Huawei Cloud) & private cloud (Cisco, OpenShift, Red Hat) ā¢ Simplified Installation Process (e.g. offline) ā¢ Kerberos support in pipelines and catalog SAP Data Intelligence ā¢ Foundation of SAP DI as SAP CP service with consumption-based pricing ā¢ End-2-end data delivery to ML model creation, training, consumption including holistic lifecycle ā¢ Jupyter Notebook integration out of the box Metadata Governance ā¢ Business rules including Data Quality KPIs ā¢ Collaboration with social mechanisms ā¢ Terms & Glossary with an integration to SAP Information Steward ā¢ Tightly managing SAP HANA meta data Data Pipelining ā¢ Agnostic multi-cloud processing ā¢ SQL processing of streaming data ā¢ Content scenarios for SAP S/4HANA, SAP C/4HANA as well as IoT applications Application Integration and Content ā¢ Managing semantic data access to data lakes ā¢ Replication of SAP S/4HANA & SAP ECC data Deployment ā¢ Support for Ali Cloud ā¢ Enhanced back/recovery & security capabilities SAP Data Intelligence ā¢ Delivering capabilities on-premise and in hybrid deployments via SAP Data Hub delivery ā¢ Automated labeling & annotations of data assets ā¢ Enhanced multi-tenancy capabilitiesā including metering ā¢ Operations Dashboard to monitor productive execution Metadata Governance ā¢ Information policy management compliance dashboard ā¢ Self-learning metadata management ā¢ Semantical data extraction for SAP systems (e.g. SAP S/4HANA, SAP ECC) Data Pipelining ā¢ Suggest complementary dataset to the ones currently considered by users ā¢ Proactive tuning and self-correcting Application Integration and Content ā¢ Expand native connectivity driven by market ā¢ Provide templates & pre-defined/extendable content for on-premise and cloud Industry models and applications ā¢ Predefined partner content delivery Enable the intelligent enterprise ā¢ Enable data-driven and completely automated intelligent enterprise applications ā¢ Support new application paradigms ā¢ Enabling a simple, holistic data management view Evolution of enterprise information management ā¢ Unify existing capabilities ā¢ Simplify data integration portfolio ā¢ Comprehensive landscape management End-to-end business application and processes ā¢ Delivery of applications for business scenarios and industry use cases
- 38. 39PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē Key Take-Aways ā¢ Enables you to extract value from distributed data. ā¢ Connects assets and transforms them into business insights. ā¢ Discovers, refines, governs, and orchestrates any type, variety, and volume of data across your distributed data landscape. ā¢ Applies machine learning and intelligent technologies to reimagine your business process. ā¢ Leverages SAP engines and open source engines across distributed infrastructures, minimizing data movement. ā¢ Accesses structured, unstructured, streaming data across all data types. ā¢ Enables you to get the most out of your data, simplify visibility across your landscape, provide trust in intelligent data, with governance, security, compliance. SAP Data Hub ā¦
- 39. 40PUBLICĀ© 2019 SAPSE or an SAP affiliate company. All rights reserved. Ē How to try SAP Data Hub SAP Data Hub Trial Version SAP Data Hub Dev Edition SAP Data Hub OpenSAP Allows you to install a limited version on your laptop free of charge to test,evaluate and prototype your data scenarios SAP Data Hub trial edition is a complete deployment of SAP Data Hub for trial and evaluation purposes. Costs are only applied to the used infrasructure The OpenSAP-course provides you an E- Learning about several topics related to the SAP Data Hub
- 40. SAP Data Hub- DEMO
- 41. Outlook and othercool stuff! SAP Data Hub ļ¬ SAP Data Hub 2.5 for CaaS Platform 3.0 officially validated ļ¬ CaaS Platform 4.0 will be validated with SAP Data Hub as well Other Container Projects ļ¬ SAP Gardner ļ¬ SUSE helps with OS based on SLE 15 JeOS + Docker + Tooling SUSE helps with development resources ļ¬ SAP Hana as a Service ļ¬ Cloud service of SAP running in Public Clouds (starting with GCP) SAP HANA runs containerized on SLES based container Container runtime is based on SLES 15 JeOS
- 42. Resources SUSE CaaS Platform& SUSE Enterprise Storage ļ¬ Product landing-pages https://www.suse.com/de-de/products/caas-platform/ https://www.suse.com/de-de/products/suse-enterprise-storage/ ļ¬ Deployments Guides, Administration Guides & more https://www.suse.com/documentation/suse-caasp-3/ https://www.suse.com/documentation/suse-enterprise-storage-5/ SAP Data Hub ļ¬ Product landing-page https://www.sap.com/products/data-hub.html ļ¬ Installation Guide, Administration Guide & more https://help.sap.com/viewer/product/SAP_DATA_HUB/2.5.latest/en-US
- 45. Unpublished Work ofSUSE LLC. All Rights Reserved. This work is an unpublished work and contains confidential, proprietary and trade secret information of SUSE LLC. Access to this work is restricted to SUSE employees who have a need to know to perform tasks within the scope of their assignments. No part of this work may be practiced, performed, copied, distributed, revised, modified, translated, abridged, condensed, expanded, collected, or adapted without the prior written consent of SUSE. Any use or exploitation of this work without authorization could subject the perpetrator to criminal and civil liability. General Disclaimer This document is not to be construed as a promise by any participating company to develop, deliver, or market a product. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. SUSE makes no representations or warranties with respect to the contents of this document, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. The development, release, and timing of features or functionality described for SUSE products remains at the sole discretion of SUSE. Further, SUSE reserves the right to revise this document and to make changes to its content, at any time, without obligation to notify any person or entity of such revisions or changes. All SUSE marks referenced in this presentation are trademarks or registered trademarks of Novell, Inc. in the United States and other countries. All third- party trademarks are the property of their respective owners.
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- 47. Deploying SAP DataHub on CaaSP with SES
- 48.
- 49. Minimum Requirements fromSAP Test ļ¬ 3 x worker nodes with >= 32 GB RAM and >= 4 cores per node ļ¬ 1 x admin node, 1 x master node, 1 x docker registry Production ļ¬ 4 x worker nodes with >= 64 GB RAM and >= 8 cores per node ļ¬ 1 x admin node, 1 x master node, 1 x docker registry
- 50.
- 51. Installation order SUSE Containeras a Service Platform 3.0 cluster SUSE Enterprise Storage 5 cluster SAP Data Hub 2.4 Linux Workstation with Kubernetes client, Docker, Helm, Data Hub 2.4 Installer Private Docker Registry SLES 12/15 with Docker Registry and Portus 1 2 3 4 5
- 52. Prepare Management Workstation ļ¬Install OpenSUSE Leap or Tumbleweed (can also be MacOS, Ubuntu, etc.) ļ¬ Install Helm (make sure version fits to Tiller, 2.8.2) ļ¬ Install Kubernetes client (incl. kubectl) 1.10, 1.11, 1.12 ļ¬ Install Docker ļ¬ Download kubeconfig to workstation from CaaS Platform dashboard ļ¬ Download and unpack SAP Data Hub 2.4 Foundation 1
- 53. Install SUSE EnterpriseStorage ļ¬ Min. 4 x nodes ļ¬ According to SES 5 Deployment Guide https://www.suse.com/documentation/suse-enterprise-storage- 5/singlehtml/book_storage_deployment/book_storage_deployment.html 2
- 54. Install CaaS Platform3.03 Install admin node
- 55. Install CaaS Platform3.03 Initially configure CaaS Platform
- 56. Install CaaS Platform3.03 ļ¬ Install 4 additional nodes (i.e. via PXE and AutoYast) ļ¬ Assign roles in CaaS Platform dashboard
- 57. Install CaaS Platform3.03 Completed cluster setup with 1 x admin node 1 x master node 3 x worker nodes
- 58. Install Docker Registry ļ¬SLES 12 or SLES 15 with container module ļ¬ Install Apache, Docker Registry and Portus ļ¬ Generate SSL certificates for container-registry host (Signed by a valid CA or self-signed) ļ¬ Configure Docker Registry and Portus (according to SLES installation guide) ļ¬ Distribute the Root CA certifcate to all CaaS Platform hosts and to the management workstation ļ¬ Test registry with: ādocker login https://my-registry:5000 -u <user>ā 4
- 59. Install SAP DataHub5 ļ· Install SAP Data Hub ā use the provided install.sh script or ā Maintenance Planner and Software Lifecycle Plugin 1.0 ļ· See https://help.sap.com/viewer/p/SAP_DATA_HUB
- 60. ./install.sh --cert-domain=master-node.testlab.intern --sap-registry-login-type2 --sap-registry-login-username=<S-USER> --cert-domain=master-node.testlab.intern --sap-registry-login-password=<password> --vora-admin-username=admin --vora-admin-password=<password> --vora-system-password=<password> --extra-arg=vora-vsystem.vSystem.nodePort=32123 --extra-arg=vora-dqp.components.txCoordinator.nodePort=30343 --extra-arg=vora-cluster.components.txCoordinator.hanawire.portNumber=32215 --namespace=datahub24 --registry=container-registry.testlab.intern:5000 --interactive-security-configuration=no --enable-checkpoint-store=no --image-pull-secret=regcred --pv-storage-class=nfs-client --dlog-storage-class=nfs-client --disk-storage-class=nfs-client --consul-storage-class=nfs-client --hana-storage-class=nfs-client --accept-license --confirm-settings --install Install SAP Data Hub5
- 61. SUSE Container asa Service Platform 3.0 cluster SUSE Enterprise Storage 5 cluster SAP Data Hub 2.4 Data Hub Installer Running ot the Management Workstation Private Docker Registry DeployswithHELMcharts provisionspersistentvolumes pullsimages pushes images validatesDataHubinstallation runs in containers / starts containers store and pull data SAP Container Registry pulls images Install SAP Data Hub5 1. 1. 2. 2. 3.
- 62. SAP Data HubInstallation Demo Video 5
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- 64. SAP Data HubInstallation successfully completed 5
- 65. SAP Data HubConfiguration Login to Data Hub
- 66. SAP Data HubConfiguration Do some post- configuration stuff following the SAP Installation Guide
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- 71. Management Tools command-line andweb-based ļ¬ SUSE CaaS Platform Management web interface ļ¬ Kubernetes Dashboard or kubectl (on your management workstation) ļ¬ Portus (Docker Registry) web interface ļ¬ OpenATTIC / SUSE Enterprise Storage Manager ļ¬ SAP Data Hub web interface
- 72. Monitoring & Diagnostics CaaSPlatform and SUSE Enterprise Storage ļ¬ Log analysis with Fluentd, Elasticsearch & Kibana ļ¬ Monitoring with Promethus and Grafana SAP Data Hub ļ¬ Log analysis with Kibana ļ¬ System and application metric monitoring with Grafana
- 73. Maintenance CaaS Platform Update ļ¬Minor version updates via the CaaS Platform web interface ļ¬ Major version upgrades via docker & salt ļ¬ Refer to the CaaS Platform Administration Guide for more details SAP Data Hub Platform Update ļ¬ via SL Plugin and Maintenance Planner ļ¬ alternatively via install-Script āinstall.sh āupdateā ļ¬ Refer to the SAP Installation guide for more details
- 74.
- 75. SAP Data HubConfiguration Login to Data Hub
- 76. SAP Data HubConfiguration Do some post- configuration stuff following the SAP Installation Guide
- 77. Ready to use... Startbuilding your data pipelines!