Enterprise Observability & IT Monitoring Strategy
Enterprise observability (or IT monitoring) has been a fundamental technology practice for decades. As computer architectures have evolved over the years from mainframe, to open systems, to cloud, mobile and other technology frameworks- the tools, techniques and skills required to effectively monitor these complex array of technologies as also evolved.
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Suffice it to say, the role of the observability professional has expanded to cover not only technical considerations but business outcomes and customer experiences. Enterprise practitioners of observability require expertise in areas which include server infrastructures, virtual computing, networks, applications, end-user experiences, data management platforms and the cloud. That's just to name a few of the essential monitoring disciplines enterprises must devote investment to ensure stable operations across the modern business landscape.
Frankenstein Tools helps organizations manage this complexity as their enterprise evolves - providing the key insights technology management organizations need to manage existing infrastructure and application, as well as the services framework needed to enable digital and cloud transformation. Often, organizations overcomplicate the observability practice with too much focus on vendors and product features- overlooking core business services and the architecture supporting them. Or, they their focus gets very narrow and they implement tools that are not well suited for the observability task at hand needed to support the business. The end result is disappointment in the results and return on investment delivered by observability initiatives. A new perspective is required to drive the desired results.
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What is a Runtime Monitoring Architecture?
There are many descriptions of architectures in enterprise IT, often describing the same system. There are application architectures, data architectures, infrastructure architectures, network architectures, security architectures, cloud architectures and more.
Monitoring and technical teams struggle to identify the various components and configuration items that compose these various architectures and then deploy observability solutions to track health and performance. They typically take an “one approach fits all” monitoring plan for each system despite differences in architectures and underlying technology.
To combat this complexity, organizations need to focus on their "runtime monitoring architecture" which describes all the components of the various architectures which are responsible for delivering services to end customers in the runtime state. The monitoring architecture integrates the keys aspects of the application, data, network, infrastructure and cloud architectures to define the consolidated architecture which requires a comprehensive observability plan. Each core business service within an enterprise requires its own runtime architecture, observability plan and checklist which includes an approach to an organizations trace, log and metrics data across their various observability capabilities.
Frankenstein allows organizations to create comprehensive runtime monitoring architecture plans for each discrete services within your company. Our observability tool will create a benchmark and scoring index for each of your IT business systems allowing you too analyze observability posture at the individual service level as well as the aggregate overall enterprise level.
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Observability - Process, Process and Technology
Similar to any fundamental technology or business function, the iron triangle of observability consists of people, process and technology. An effective observability program requires all three of these components in equal effectiveness to ensure that skilled resources (human or AI) are available and capable of executing defined observability processes with the requisite tools/technology to manage and monitor the target runtime architectures.
Frankenstein helps organizations understand the fundamental inputs and requirements needed to establish, maintain and evolve a modern observability practice to support cloud, digital and customer-level transformation.
