Log Monitoring & Log Analytics with APM solutions
Organizations are drowning in data
Data has become the lifeblood of modern digital enterprises,
providing a treasure trove of potential insights that can drive
smarter decision making and better business outcomes.
However, the rise of more dynamic and distributed cloudnative technology stacks has unleashed a firehose of data
that IT and security teams struggle to contain. These modern
environments generate data at a rate that is impossible for
teams to cost-effectively capture and analyze using traditional
practices and fragmented monitoring tools. Teams simply
cannot manually query all data, from all sources, in context,
to access precise insights in a timely manner.
Keep an eye on costs
Oftentimes the costs of storing and analyzing data are soaring and outweigh the benefits they provide. As a result, teams often have to decide which data to keep for real-time analytics and which to delete or archive in cheaper, less accessible storage, hindering companies’ ability to drive automation and smarter decision-making.
Additional challenges
As IT environments become bigger and more complex,
observability (= ability to measure an individual system’s
current state based on the data it generates) across the full technology stack (thousands of interdependent microservices spread across multiple clouds) becomes increasingly difficult.
Data is often collected in data silos, with no relationships between individual data records. Furthermore data is oftentimes aggregated in meaningless ways. Without meaningful relationships between the data records, you have to look for a few traces among billions to know whether two alerts are related or how users may be impacted by them.
Far too often, logging tools leave you clicking through data and poring through logs trying to deduce root causes based on simple correlations. Lack of causation makes it difficult to quantify impact to users or determine which optimization efforts are delivering performance improvements.
The solution
An APM solution like Dynatrace breaks the traditional triangle of trade-offs between cost, speed and insights. The unified software intelligence platform not only stores data efficiently and automatically, but also puts it in causal context – what communicates with what, what depends on what, how does the entire infrastructure and application topology work, etc. And all this without human intervention. The causal context is maintained and analyzed across billions of dependencies and entities. This gives Dynatrace unparalleled precision in data management and allows IT teams to focus on what matters most.
The advantages
Dynatrace’s approach to log management and analytics brings many business benefits, including the following:
Tame cloud complexity.
Dynatrace automation and AI empowers DevOps teams to handle thousands of events and petabytes (1,000 terabyte) of data being generated by enterprise applications every day.
Create operational efficiencies.
According to Forrester organizations which are using Dynatrace to continuously improve application and infrastructure quality, identify issues 80% faster and reduce meantime-to-recovery (MTTR) by 90%.
Deliver better business outcomes.
Whether measured in customer satisfaction, revenue, or
availability, Dynatrace lets teams focus on the most urgent problems before the business is affected. Less time chasing problems means more time spent on innovation and driving better business outcomes.
You want to know more about Application Performance Monitoring and Observability? Or do you wish to implement the Dynatrace solution in your company but don’t know exactly how to get started? Then contact us – as Dynatrace Premier Partner we’ll be happy to help you!
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