Compliance features that give you detailed records and visibility for auditors into not only the current state of CIs, but also their historical changes, checks and balances, incidents, etc. Support for federated data sets , including normalization and reconciliation of CIs and their data. IT service mapping typically a graphical illustration of relationships and dependencies. Access controls that allow you to give different access levels to different people or teams as needed and to trace changes back to their source in case of questions or incidents.
The core problems that a CMDB addresses are siloed data and outdated information. This prevents teams from understanding important context when making decisions, which can impact risk assessment and reporting, impair decision-making, slow issue resolution, and ultimately cost the business both financially and reputationally. At best, this can cause confusion between teams.
At worst, it can turn into a major incident. Forrester identifies three use cases where a CMDB is vitally important today:. Technology managers need CMDB data to plan, both at a high level with enterprise architecture and portfolio management and at a more detailed level with asset and capacity management. IT finance requires records of applications or service codes in order to allocate billing statements and properly manage business finances.
In change management, a CMDB can improve risk assessment by anticipating which users, systems, and other CIs might be impacted.
In regulated industries, it can also aid compliance, helping teams manage controls and providing a clear audit trail. In incident management, a CMDB can help identify the changes that led to an incident and get to faster resolution. Incident records can be associated with their relevant CIs, helping teams track incidents over time alongside the assets they impact. In problem management, a CMDB can help with root cause analysis, getting teams to the heart of a problem quicker.
It can also support proactive problem management by helping teams identify assets that need upgrading to reduce service costs and unplanned downtime. At the end of the day, a CMDB should reduce complexity, prevent errors, increase security, and help ITSM practices like change and incident management run smoothly.
And such a high failure rate has left the technology with a rather problematic reputation. The good news is that the reasons for failure are preventable and tend to fall into six predictable categories:. As with anything in an organization, culture and team commitment is one of the most important factors in whether new technology and processes are successful.
That holds true for CMDB projects. As with any data repository, a CMDB should contain focused, useful data that supports internal processes like change management. Make sure your CMDB has a clearly defined value objective, owner, and a way to update data to reflect all changes. For example, it often makes more sense to keep financial data in an IT financial management ITFM tool and software license information with a software asset management SAM tool.
The data can be imported and mirrored in your CMDB, even without that being its primary storage space. Many organizations struggle to develop and maintain an accurate CMDB. The most common issues are discovery tools running too infrequently, an absence of automation rules, or a reliance on manual inputs. The typical answer to these challenges is event-driven discovery that augments traditional, bottom-up discovery.
For those unfamiliar with those terms, bottom-up discovery is when assets are mapped starting with infrastructure and branching out into customer-facing CIs. Event-driven discovery is when something happens—an event within a system, a problem, etc.
Then, based on that event, the system maps the related CIs and their connections. Now, not every CI is discoverable. For example, your team may want to map monitors in your CMDB. The key to accuracy is harnessing the power of both bottom-up discovery and event-driven discovery to get the clearest picture of your assets and their connections. There is a perception in some organizations that CMDBs are for modeling legacy infrastructure and software, rather than the new stack of cloud and software-defined infrastructure and the modern workflows hosted on them.
Choosing the right tool is paramount if you want to avoid the unhappy failure statistics above. Some CMDB tools amount to little more than asset repositories—data structures fixed on legacy physical infrastructure and discovery tools that react slowly to any changes. To succeed with a CMDB, you need one that accounts for new types of assets and is capable of quick change.
In general, it makes sense to start high-level and get the services right and then only go wider or deeper where needed to meet your organizational goals. Technical entities include business services, technical services, applications, software, databases, containers, virtual machines, operating systems, hardware, networks, ports, etc. Non-technical entities can also be modeled in your CMDB if you need to represent them as either dependent or impacted by other assets in your IT service mapping.
Non-technical entities may include users, customers, organizations, locations, service agreements, documents, etc. Lastly, cloud services should be taken into consideration in the design of a CMDB model. Both SaaS offerings e. Google apps, Dropbox, Salesforce, etc. In ITSM, incident management decreases time to resolution and minimizes business disruption. The SQL Server Configuration Manager also allows you to view information about failover cluster instances, though Cluster Administrator should be used for some actions such as starting and stopping the services.
For information about choosing a network protocols, see Configure Client Protocols. Clients previously connecting with these protocols must select a different protocol to connect to SQL Server.
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