How Coralogix solves data analytics challenges to unlock modern observability

Organizations are investing more resources than ever before to achieve visibility into the inner workings and health of their applications. Far from a straightforward task, the challenges are only becoming more complex and difficult to overcome in today’s digital age.

With organizations migrating to the cloud, much of the visibility we could once count on has been abstracted away. Plus, with the mass adoption of new technologies that help to streamline workflows, the pressure to accelerate delivery while maintaining quality has never been higher.

In recent years, the term ‘observability’ has gained a lot of traction as a kind of catch-all for the plethora of insights that can be reaped from comprehensive collection and analysis of application and system data. The problem is that data is growing faster than revenue.

Traditional approaches to monitoring and observability are reliant on indexing to produce insights, meaning that the cost of analysis is inherently tied to the cost of indexed storage. With this model, the analysis cost grows proportionally as data volumes grow.

And so, with comprehensive data collection being limited by cost, users are faced with a choice. Either continue to collect all of the data and face the wrath of their finance department or sacrifice coverage and visibility into parts of their systems.

To maintain coverage and visibility into one’s applications without needing to increase the budgets constantly, there is a real need to decouple the analysis of the data from indexing and storage.

In an
interview
last summer, Ariel Assaraf, CEO of Coralogix, said, “It’s about high-volume, but low-value data. Customers don’t want to store the data [or index it] but want to view it live and visualize it.”

The majority of the data produced by applications are most valuable when viewed in aggregate over a period of time. Only a fraction of the data is needed to be readily available to investigate and resolve issues. The idea is to monitor the data to identify trends and errors without paying to store it. At the same time, have it available, if a critical event occurs that needs investigation.

Recent advances in stream processing have opened the door to sidestepping this completely.
Coralogix
is leveraging this new
approach to data processing
for their in-stream data analytics pipeline, called
Streama©.

Using the power of Streama©, the Coralogix platform enables users to transform their data, perform stateful analysis, receive dynamic alerts, and more without needing the data to be stored first. This unique approach effectively decouples the analysis of the data from storage and allows for deeper insights without breaking the bank.

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