What’s new in Operations Bridge 2018.08: 5 Updates You Need to Know

by in IT Operations Management

We are pleased to announce the availability of the Micro Focus Operations Bridge 2018.08 release. This release contains a new version of the Operations Bridge container-deployment, with enhancements in Container Deployment Foundation (CDF) and Business Value Dashboard (BVD), two updated Management Packs (MP) and new local clients for SiteScope and Business Process Monitor (BPM).

Please note that classic versions of OpsBridge components OBM, OBR, OBA, Cloud Optimizer, OO and OpsCx will be updated in a future release.Gartner.jpg

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Here is a quick summary of the main features (each will be described in more detail in the following sections):


Enhanced Amazon Web Services (AWS) Management Pack 

Adding in-depth monitoring of

  • DynamoDB
  • Beanstalk

Adding a generic collector to discover and monitor any other AWS service that exposes metrics via AWS CloudWatch

Enhanced Azure Management Packadding the monitoring of two important Azure Analytics services

  • Data Factory
  • Azure Data Lake Storage 

Extended Business Value Dashboard (BVD) capabilities

  • CLI/API to export/import complete BVD dashboards
  • CLI to generate reports by saving BVD dashboard to PDF

Local Clients for BPM Admin ​& SiteScope UIs

  • Run BPM Probe Admin & SiS UI as JAVA application
  • Be independent of browsers that no longer support Java /Java applets

Container Deployment Foundation (CDF) enhancements

  • Simplified, central user group mapping in IDM
  • Suite start/stop functionality (run levels) to support backup/maintenance

Details on the new features introduced with OpsB 2018.08

Enhanced Amazon Web Services (AWS) Management Pack

The Management Pack for Amazon Web Services enables you to discover, monitor and detect performance issues through events and performance graphs for various AWS services. So far the following services could be monitored in depth:

  • AWS Elastic Cloud Compute (EC2) Server Instances
  • Elastic Block Storage (EBS)
  • EC2 Container Service (Amazon ECS)
  • AWS Service status, Relational Database Service (RDS)
  • Auto Scaling Group (ASG)
  • Elastic Load Balancing (EBS)
  • Simple Storage Service (S3) instances
  • AWS Billing
  • AWS Key Management Service (KMS)
  • Simple Queue Service (SQS)
  • Red Shift Service

    Version 2018.08 adds in-depth monitoring for two additional services:
  • DynamoDB
  • Beanstalk

In depth monitoring of DynamoDB

DynamoDB is a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency. It scales up or down automatically. DynamoDB is secured with encryption, offers a guaranteed reliability and continuous backups, and thus is enterprise ready.

The Management Pack allows you to keep track of throughput and key exceptions.

The screenshot below shows the corresponding Performance Dashboard which is provided for AWS DynamoDB:


For more details see https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/dynamo-metricscollected.html.

In depth monitoring of Beanstalk

Beanstalk is a service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker and running on servers such as Apache, Nginx, Passenger, and IIS.

The Management Pack allows you to monitor the environment health, the performance of the application and of the underlying instance.

For more details see https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/aeb-metricscollected.html.

Adding a generic collector to discover and monitor any other AWS service

The 2018.08 AWS Management Pack provides a new framework called ‘AWS Generic’ which includes a generic collector to discover and monitor any AWS service that exposes metrics via AWS CloudWatch. Up to now content for less than 20 AWS services were offered, with specific discovery, performance dashboards and exception monitoring. The enhancement expands discovery and collection of key metrics to all of the 80 AWS services using a generic approach.

The screenshot below shows the AWS Generic aspect and its related Policy Templates. Those enable the generic collection discovery and monitoring.


During deployment of the generic aspect you can specify which AWS services should be monitored by providing the equivalent AWS namespaces as shown in the screenshot below.

For more details see https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/aws-namespaces.html.


This automatically collects all metrics that the services exposes to Amazon CloudWatch. Based
on this you can create your own Performance Dashboard and Measurement Threshold Policies if needed.

For more details see Amazon Web Services (AWS) Management Pack.

Enhanced Azure Management Pack – adding the monitoring of two important Azure Analytics services

• Azure Data Factory

Data Factory is a cloud-based data integration service that allows you to create data-driven workflows (Pipelines) for orchestrating and automating data movement and data transformation. It can create and schedule pipelines for collection, transformation, storage and apply analytics on structured and non-structured big data for better business decision.

The Management Packs allows you to keep track of pipeline failed runs via events & performance dashboards.


This screenshot shows an Azure Data Factory sample event about a failed activity run:


This screenshot above shows the Azure Data Factory Performance Dashboard provided by the Management Pack.

• Azure Data Lake Storage

Azure Data Lake Storage is an enterprise-wide hyper-scale repository for big data analytic workloads. It captures data of any size, type, and ingestion speed in one single place for operational and exploratory analytics.
Azure Data Lake Storage is built for Hadoop. It is compatible to HDFS and works with Hadoop ecosystem. It provides unlimited storage and analytics over data. Finally it’s highly scalable and secure.

The MP allows customers to keep track of usage of Data Lake storage (read/write requests, size of data read/written).
This screenshot shows the Azure Data Lake Storage Performance Dashboard:


For more details see Azure Management Pack.


Extended Business Value Dashboard (BVD) capabilities

CLI/API to export/import complete BVD dashboards

The new feature allows an easy transfer of BVD dashboards e.g. from development to production, as well as from Micro Focus & partners to customers. It provides a quick time to value.
Example Dashboards can be consumed much faster than before.

The CLI can export & import one dashboard incl. all required dashboard artefacts. This covers the dashboard itself, incl. data bindings, coloring rules and other dashboard settings. It includes also all data collectors, i.e. the SQL queries, used by the dashboard.
The CLI client can be used remotely and can be downloaded from “Resources” page in the BVD UI. BVD_im-export_dashboard_pdf_download.png

It is supported on Windows, MacOS, and Linux.

For more details see CLI/API to export/import complete BVD dashboards.

In addition to the CLI a Rest-WS API is offered as well for automation use cases.
The interactive Swagger-UI of the API allows developers to explore the API and interact with the API.


CLI to generate reports by saving BVD dashboard to PDF

BVD offers a new CLI to export available dashboards as PDF without the need to login to the BVD User Interface. This is helpful if you want to create scheduled reports with snapshots of the dashboards using a script or cron-job. The CLI saves dashboards as PDF without clutter (UI navigation, page banner).
As the previously mentioned utility, also this one is available for download from the BVD Resources page.


It is supported on Windows and Linux. 

For more details see CLI to generate reports by saving BVD dashboard to PDF.

For more details on BVD see Business Value Dashboard (BVD).


Local Clients for BPM Admin & SiteScope UIs

BPM Probe Admin & SiteScope UI are still JAVA applications.
While e.g. IE 11 still supports Java / Java applets, some browsers (like FF 60 ESR and later) do not longer support Java / Java applets (FF 52 ESR support ends in Sept).

In order to be independent of browsers that no longer support Java /Java applets local clients are now available for BPM Probe Admin and the SiS UI.

The local clients​ include a JRE and a wrapper script to start the local client as Java application. Therefore it is no longer necessary to have Java enabled in the browser. Currently the local clients support Windows as OS.

The local client for SiS is available on the SiS media. For BPM it's available via patch.

The SiteScope client even allows connection to different SiteScope versions and keeps the list of the last connection URLs, see screenshot.




For more details see Local Clients SiteScope UIs.


Container Deployment Foundation (CDF) enhancements

 Simplified, central user group mapping in IDM

You can now configure all your group mappings in the Identity Manager (IdM). Previously the LDAP mappings had to be configured in OBM as well as BVD. Starting with this release managing mappings is now easier as you need to create them only in IdM. You can use OBM and BVD User Management UI to assign roles for each group. If the name of a group in OBM or BVD matches a group name configured in IdM, users logging into OBM or BVD using LDAP or any other authentication method supported by IdM automatically get mapped to that group and get the assigned permissions.

For more details see Authentication Management and User Management, as well as
Simplified, central user group mapping in IDM.

Suite start/stop functionality (run levels) to support backup/maintenance

CDF 2018.08 offers a unified, consistent interface across all suites to “start” and “stop” a Kubernetes deployment and with this a complete suite: cdfctl.sh. It also allows to start and stop only certain components of a suite. This is implemented using so called run levels. There are 4 run levels: DOWN, DB, STANDBY, and UP for different use cases.

UP and DOWN basically allow you to start and stop a suite, whereas DB only starts DB-related services, which is useful for DB maintenance tasks. The STANDBY run level is meant for troubleshooting and starts DB and Artemis bus services only.

For example, to start only DB services (of CDF and OpsBridge Suite), use

cdfctl.sh runlevel set -l DB -n core,opsbridge1

For more details see Suite start/stop functionality (run levels) to support backup/maintenance.

If you have feedback or suggestions, don't hesitate to comment on this article.
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Read all our news at the OpsBridge blog.

To get more information on this release and how customers are using Operations Bridge we are happy to announce the following events

Read all our news at the OpsBridge blog.

Explore all the capabilities of the Operations Bridge and technology integrations by visiting these sites:
Operations Bridge
Operations Bridge Manager
Operations Bridge Technology Integrations eBook

Or review the corresponding documentation for Operations Bridge Manager i, Operations Bridge Analytics, Operations Bridge Reporter, Operations Connector (OpsCx), Business Value Dashboard (BVD) (classic – for containerized BVD see Operations Bridge)  and Operations Orchestration (OO)


Operations Bridge