Not having a holistic view of all IT assets across the entire technology stack used to be a problem only for certain functions of IT departments. But as more business processes depend on more technology, holistic visibility is becoming the foundation for doing anything in IT.  Almost all business operations depend significantly on IT Service Management systems, but in a world where hybrid cloud, edge computing, and XaaS are the veins and arteries of the organization, a new generation of CMDB (configuration management database) systems is required as a basis on which critical business decisions can be made.

Source: Device42

To ensure that IT facilities fully support business-led decisions, a holistic view of technology’s infrastructure today must be extremely comprehensive and accurately represent the actual environment. The complexities and dynamic state of the modern IT stack and its elasticity mean that static databases are insufficient. Additionally, dependencies between applications, systems and services from across different cloud providers to on-premise clusters must be aligned and well represented,. Finally, a relatively simple change can have unexpected results elsewhere in the interconnected chain of inter-operating platforms, impact of change must be visible in near real-time. Having these in place, only then can you make strategic decisions.

Canonical asset records

A CMDB’s records must encompass every aspect of IT assets, from core count, memory, and network address to connections between facilities on- and off-site, cloud provisions, and details of edge installations. Microservices especially require constant oversight, with pods spinning up and being taken down based on automated decisions. There’s a critical need for canonical records, and in 2024, where decisions impact IT, a reliable and intuitive data set is required – one that can be sliced, diced, and parsed according to need.

Without records and a full understanding of the collected data, it’s impossible to accurately gauge the cost of current operations on a per-project basis, and even slower decisions like equipment or service refresh/replacement cadences could easily be based on false information. The implications of change management can only be partly modeled by development teams and manual testers, and the far-reaching effects of any significant change might only be guessed at.

Seeing the picture

Raw data is often less useful than many assume. Base statistics and system specifications are only helpful if they are presented to decision-makers in understandable ways from a business perspective. The organization can easily mis-step its change management processes by missing key information during planning, for example, and it’s difficult to collaborate with line-of-business experts without ingestible information presented appropriately. Multiple dependencies make even small changes a threat to uptime, and without data records that reflect changes in system use over time, it’s easy to make incorrect assumptions about what’s possible and which choices will yield the best outcomes.

CMDB systems need to enable collaboration between all business (and IT) stakeholders. With operational staff and, for instance, cybersecurity professionals working from the same page, the requirements of each stakeholder can be met with surety of performance and outcomes. The collected data on every aspect of infrastructure can be leveraged to model possible outcomes – a method in common use in manufacturing and engineering industries, where digital twins of IIoT and machinery are becoming the norm.

Keeping it legal

With an increased number of legislative rafts affecting data types, their storage and distribution, it’s easy to fall foul of local and international governance when an enterprise runs on a highly complex topology. Improperly treated or stored information may jeopardize the organization, with PR fallout or costly fines as the outcome.

Today’s configuration management platforms have evolved to encompass knowledge of the different strictures placed by governments and intra-governmental bodies like the EU. Issues can be flagged before they arise, and automated systems can create responses and even file requests for information from governing bodies. Instead of committing dedicated resources to governance details, the existing data of a CMDB can save on resources and significantly lower the costs of staying legal.

With the change of statutory compliance soon to include what could effectively be ‘green taxes’ levied on high-power users of fossil-fuel electricity, the ability to audit and comply in scaling environments becomes deeply challenging without the right tools. Making the right decisions now to put everything in place for tomorrow’s strategic changes allows organizations to remain a step ahead.

Remediation

The flagging of issues, in itself, may not be of practical use in many instances. CMDB solutions have to be able to pinpoint the root cause of problems and predict, often using AIs trained on existing data, where bottlenecks or consequences to change may appear. By using intelligent algorithms, organizations can pinpoint the root causes of an issue (or potential issue), either to address a problem or allocate resources to systems proactively as part of the change management processes.

That means fewer large meetings where different stakeholders and IT functions argue about possible causes of emerging issues. Instead of investigating a problem, pinpointed sources of problems can be quickly addressed, saving skilled staff time and enabling IT professionals to concentrate on bringing value to the company.

Source: Device42

Less downtime and better performance overall mean the company and its customers benefit. In a time where CX can negatively affect a business’s bottom line, ensuring five-nines performance is a key differentiator, especially in competitive markets.

The choice platform

Of the newer generations of configuration management systems seen over the years, products have evolved and adapted. As cloud and hybrid became commonplace, for example, pure-play agent-based solutions became less effective. As companies grew to enterprise scale and transitioned from Windows Servers on bare metal to cloud-hosted Linux clusters, they outgrew simple audit tools.

Indeed, Device42 has one of the fastest time-to-value metrics on the market. It has the broadest coverage of asset types, from obscure legacy Android instances in IoT, to Kubernetes containers and multi-cloud API management systems. Device42 is the mature product with a forward-looking approach to emerging technology, ideal for any company committed to scaling and changing according to market conditions.

To learn more about Device42 and the solutions that make business sense, contact a representative today.

The post Your service management is as good as your CMDB appeared first on TechHQ.

When we define the visibility of IT systems at enterprise scale, it’s important to note several factors. The first is the point of view; what’s required from any snapshot will vary from role to role. The systems administrator will want a different viewpoint from, for example, the cybersecurity team. A detailed picture from a true end-to-end perspective needs curating by software to create value for different stakeholders. The second factor is that services are both massively interdependent and changing. When a system goes down or its performance throttles, its cause could be a wholesale cloud provider outage, a routing issue lower down the OSI layers, or under-resourcing at peak times. What’s more, the cause may be in a different part of the overall topology from where the problem manifests. Few products on the market today offer full visibility across complex hybrid and multi-cloud topologies from hardware to data flow. Fewer still allow users to drill down into individual cloud accounts, for example, and almost none offer the ability to show relevant information tailored to every job role’s requirements.

When deploying one of the CMDBs (configuration management databases) available in the market today, the element of real-time mapping also has to be a significant factor. The fluidity of resources from on-premise to multiple clouds means that any auditing function has to be as near real-time as possible for its output to be of practical value to as many stakeholders as possible. Device42, a leading IT infrastructure management company, is potentially the first of its kind to provide the mapping of infrastructure, assets, workloads, and, critically, workflows across the entire IT stack at cadences that are variable in line with different business functions’ needs.

Source: Device42

TechHQ spoke exclusively to Raj Jalan, the CEO and Founder of Device42. He spoke about previous generations’ asset and infrastructure management systems that were often role-specific. In datacenters, for example, he said software had to provide physical accuracy, for example, to locate failing devices. But in today’s enterprise networks, the capabilities of the CMDB have to go further than physical audits.

Mr Jalan said: “In the datacenter, if you have an issue, where do you go to find this equipment, to go fix it? The same thing in the cloud: some service went down. You need to figure out which region is that in and which account (in larger enterprises, there are hundreds of accounts across GCP, AWS, Azure, and so on), and it’s hard to figure out where things are. So visibility is a key piece for the datacenter and cloud infrastructure management.

“Many enterprise don’t have true visibility into their IT environments. Where is it and how is it all connected? Lack of visibility leads to a lot of problems and inefficiencies in the IT structure.”

Given the interdependency of IT systems and the fact that every business function is more-or-less wholly reliant on technology, IT investments in CMDB must not only reach wide and deep but also be multi-purpose. Failure of IT anywhere can be mission-critical, and even unoptimized services can have negative impacts on overall performance and profitability.

Mr Jalan said: “The use cases could be audit compliance: I need to do a software audit on Microsoft. I need to know if I really have the right licenses [to see] what I think I’m paying for Microsoft or am I underpaying for licenses? […] We can provide those inventory controls there. Or to do a portfolio rationalization where I’m moving a legacy application to a new tech stack.”

Moving to a cloud implementation of an important service simply isn’t a lift-and-drop exercise. In addition to complexity ‘under the hood,’ there are implications for individual workflows. Device42 allows the collation of empirical topological data with workflow mapping to see where shifts in infrastructure will impact everyday human activities.

At the level of the IT Department, ensuring change management proceeds with minimal negative impact requires a firm understanding of the complete topology. The consequences of change are, after all, impossible to judge without a clear image of what is up and downstream. In multi-cloud and hybrid infrastructures, even being aware of connections between on-premise and cloud services can be challenging. To pre-empt problems, the traditional way of proceeding is to construct sandboxed testing environments, the purpose of which is, at least partly, to determine what elements of workflows will be affected by change. That’s an expensive way of getting information that a next-gen CMDB considers table stakes.
The value brought by Device42 can also be found outside the remit of core IT functions. The availability of a comprehensive map of accounts, infrastructure, data sources, and workflows informs multiple areas, making them more efficient and able to make better use of the resources available. At the Service Desk, for example, knowing where issues might be emanating is invaluable. “We integrate ITSM tools like JIRA or Fresh Service, Zendesk, ServiceNow and many more, giving you visibility in ticketing rules or your service requests too,” said Mr Jalan.

When a user raises a ticket about their use of service X, for example, helpdesk staff can see the full extent of that service’s upstream and downstream components. Staff can either pinpoint the issue and solve it or refer it to Level II support with useful, on-point information as to probable causes.

“We go deeper into your connectivity just beyond your logical, physical, and virtual connections. So we can tell a web service running on machine one is connected to your middleware that’s running on machine two, connected to a database server running on machine three, and the database might be on IPaaS, or on your Azure environment, or on-premise,” Mr Jalan said.

Source: Device42

The core strength of the Device42 platform is its ability to go deeper into each instance of many different technologies to discover more information, down to the level of users, privileges, and licenses across hybrid infrastructure. “We take all that data and normalize, categorize and enrich it,” said Mr Jalan. “Finally, we visualize the interdependencies of these resources in a dashboard map view.” Dashboards can be constructed according to use-case for different functions inside and outside the IT department. That helps teams see how their interdependence actually works at a digital level and how workflows in one area can affect other parts of the business.

The ways that companies and discrete departments in them use Device42 are often quite different. Some need to capture data every four hours, others every few minutes – it depends on the use case. Problem-solving or identification of bottlenecks will require information more often from the (agentless) toolset, while compliance officers need different data captured, likely less often. The beauty of Device42 is in the customizability of its use, with required data exposed in impactful and highly directed ways.

“We capture resource utilization and customers can configure it […] with the right sizing or capacity planning, right to answer the exact question. If I’m moving from one workload, from data centre to cloud or within a cloud, I want to know […] where my capacity is, within a single virtual host, for example.”

The platform captures highly granular data but is equipped with smart ways to present what’s relevant, including the superimposition of typical workflows, to different audiences in forms ingestible by humans and machines. That makes Device42 uniquely capable in a complex enterprise.

In future articles, we’ll dig deeper into how companies use the platform to achieve multiple aims, ensuring their investment pays dividends in IT and different parts of the enterprise.

For now, if what you’ve read here has piqued your interest, head to Device42’s website to learn more, and reach out to a representative for more information particular to your use cases.

The post The CMDB for enterprise-scale deployments with granular insight on demand appeared first on TechHQ.