ADDM

. What is BMC ADDM Discovery?

Currently, all IT organizations are attempting to implement IT Service Management, which is based on understanding the environment, as it is challenging to manage systems that you do not know are there. Most noteworthy, the organizations can’t know what assets support which part of the business through discovery alone, hence, application discovery and dependency mapping are interrelated.

BMC Discovery (ADDM) is a digital enterprise management solution, which automates asset discovery and application dependency mapping. It builds a holistic view of all data centre assets and the relationships between them. BMC Discovery contributes to significant savings and value for customers, as it delivers actionable data centre information in the shortest time, so that the team can make better business decisions.

What is ADDM?

ADDM stands for Atrium Discovery and Dependency Mapping. As we know that there can be numerous, complex while transmitting data to and from the applications. Application dependency mapping is the process of visually displaying updated data about your monitored network components, along with their relationships.

BMC Discovery (ADDM) has been designed to be highly scalable, flexible, and easy to use. Some of its features include:

• Fast time to value: It is delivered as a ready-to-run virtual appliance with agentless discovery, BMC Discovery (ADDM) delivers usable information within hours.

• Big Discovery: This technology delivers a fresh view of your data centre as often as you need with no speed or scale limits.

• Collaborative application mapping: Reduce the time and effort to map applications with just a small amount of seed data from application owners.

• Robust search and analytics: The Out-of-the-box dashboards and reports answer common data centre questions. And the powerful Google-like search quickly locates information with a just few keywords or phrases.

• Data provenance: This provides full transparency into how the data was discovered.

• Software and hardware reference libraries: These reference libraries help you quickly identify software that is no longer supported and makes it easier to plan for software upgrades and quickly identify inefficient hardware for the projects.

Some of the Benefits of BMC ADDM Discovery includes:

• It reduces the number of incidents caused by any change.
• It reduces the time to isolate the root cause.
• It helps prioritize incidents based on its business impact.
• It reduces the cost and time to prepare for audits and prevent audit penalties.
• It optimizes the data centre hardware and software.
• And validates the accuracy of disaster recovery versus production systems.

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Website: www.spmglobaltech.com 

How does BMC Discovery work?

BMC Discovery automatically discovers the hardware and software in your data centre, determines configuration and relationship data, and maps applications to the IT infrastructure.

• Discovery: Information about your organization's hardware and software is obtained by the Discovery Engine.

• Reasoning: The Discovery Engine is supported by Reasoning which intelligently infers information about hosts and programs from the DDD returned.

• Data store: It is the database in which the DDD and inferred data are stored. Data written to the data store is instantly indexed allowing you to search for items of interest using simple keywords in the UI.

• CMDB Sync: This provides a means of keeping data in the BMC Atrium CMDB continuously synchronized with information discovered by BMC Discovery.

• Start anywhere application modelling: It is a new approach to application modelling that enables you to choose any entry point, or points into an application, and begin modelling from there.

• Big Discovery: This enables you to discover and get usable results from even the largest Data Centres in the shortest time possible.

What is the performance impact of running BMC Atrium Discovery?

There is a list of factors which might affect the performance of BMC Atrium Discovery. The same can be divided into configurable and non-configurable performance factors:

Configurable performance factors

• Automatic grouping– In case the information provided by this feature is not required then it can be disabled. The Scanning performance has been seen to improve by up to 10% when this feature is disabled. (By default: Enabled)

• CMDB synchronization - To obtain the maximum synchronization performance when using CMDB synchronization with BMC Atrium Discovery, you should consider tuning the database that BMC Atrium CMDB (or BMC Remedy AR System) uses. 

• Concurrent discovery requests - The number of concurrent Discovery requests might impact performance in environments where the network is particularly slow to respond.

• Consolidation - You can expect a performance drop of between 5 and 10% if the appliance is configured as a scanning appliance and is sending data to one or more consolidation appliances.

• Database cache size - The datastore cause performance problems, if it is spending a lot of time swapping pages in and out of the cache.

• DDD removal - When discovery is in progress, contention might exist between the removal of DDD nodes and the creation of new nodes. This can affect the performance of in-progress discovery runs. To avoid this performance impact schedule DDD removal blackout windows during which no DDD removal is undertaken.

• IP optimization - Where a host has more than one IP address, a full Discovery is performed for each of those IP addresses and reducing the Scan Optimization Timeout will cause a degradation of appliance performance. 

• Log level - A log level of DEBUG will cause a degradation of appliance performance – (By default: INFO)

• Overlapping AD Windows proxy IPs – In case of multiple Windows proxies scanning the same range of IP addresses, if no successful login has been achieved by any Windows proxy, an attempt will be made to login by each Windows proxy.

• Number of CPUs - The number of ECA engines will scale appropriately to the number of CPUs. Increasing the ECA Engine count above 6 has not been shown to further increase scanning performance.

• The number of credentials - An attempt will be made to log in for each credential whose key matches the IP address if no successful login has been achieved.

• Types of patterns - Some patterns are more complex than others and take longer to run. Therefore, if your network includes a significant number of these complex patterns, it might increase the overall run time. 

Non-configurable performance factors

• Host complexity - Discovered hosts which are information-rich, and therefore more complex than those which contain fewer data might also cause a degradation of appliance performance, particularly when a large contiguous block of hosts is scanned.

• Responses from switches for non-routable IP addresses - If a switch is configured to send a response for a non-routable, or unassigned IP address, this might cause degradation of appliance performance.

• Scan ordering - A contiguous block of slowly responding hosts or a high latency network segment can reduce performance noticeably.