According to Gartner, Data Fabric is one of the top trends of 2022. They made a remarkable statement saying “Good decisions rely on shared data, but to share the right data at the right time, consider data fabric.”
With the unprecedented explosion of data volumes in recent years, it has become challenging for enterprises to keep up. And the largest slice in the data volume pie is observability or machine data.
With this level of complexity, it has become excruciatingly difficult for DevOps, IT teams, and engineering leaders to aggregate, correlate, and analyze the performance data, especially on distributed systems.
It is imperative to do a complete analysis of your system to be serviceable. We need a highly efficient and pragmatic solution to meet the rising standards of the industry. Data Fabric was meticulously built with the goal of meeting all your observability needs in mind.
But, what is data fabric, and how does it work? and how do you put it into practice?
Let’s have a look.
How does the LOGIQ Data Fabric work?
To understand the functionality of the data fabric, you must familiarize yourself with MELT and Root cause analysis.
Basically, MELT stands for (M)etrics, (E)vents, (L)ogs, and (T)races. And The technique of determining the underlying cause of an issue is known as root cause analysis.
If you wish to learn more about MELT, check out this comprehensive post on our Blog page.
So, for more rapid root cause resolution, LOGIQ’s data mesh architecture offers a more comprehensive view of all MELT data.
A built-in security monitoring layer for a log-based HIDS (Host Intrusion Detection System) that is compatible with OSSec, Atomic, and Wazuh agents is incorporated as well since it allows the complete collection of Log Data.
Additionally, LOGIQ.AI incorporates SIEM rules from the open-source Sigma project. Because of this, your enterprise can aggregate MELT and security monitoring data using the data fabric as a first-mile solution.
Benefits of the LOGIQ.AI Data Fabric
The LOGIQ data fabric is a distributed observability platform that enables organizations to monitor, analyze and troubleshoot across their systems. It collects logs, metrics, and traces from across the organization’s IT infrastructure, including all applications, databases, and microservices. It then combines this raw data into a single repository where it can be analyzed, organized, and correlated.
The observability feature of the LOGIQ data fabric provides comprehensive visibility into how applications, services, and systems interact within the organization’s IT environment.
This allows organizations to quickly identify issues and take corrective action before they become significant problems.
In addition, the observability feature helps organizations detect anomalies in their IT environment and optimize their performance better.
Why does your Observability need a Data Fabric?
The LOGIQ data fabric provides observability into the underlying architecture of the system, giving users a clear view of their data pipelines. It unifies access control and observability across multiple components in an environment, be it on-premise or cloud-based.
The following are a few primary reasons that highlight the benefits of using data fabric:
- Data Fabric helps ensure all data collected is secure, accessible, and consistent across the IT system.
- Data Fabric allows organizations to make informed decisions based on real-time analytics of their systems’ performance.
- The data fabric strives to create distributed system for all the metrics and events, making it easier for organizations to detect issues and take action. Thus, Data Fabric enables organizations to identify and troubleshoot problems that can disrupt their operations.
- Data Fabric supports open telemetry initiatives by providing an open platform for data to be collected, processed, and stored across multiple components and services.
- Data Fabric helps organizations leverage the power of modern observability solutions to get real-time insights into their system’s performance and proactively address any issues in a timely manner.
- Since data is always-indexed and primarily stored as object storage, with data fabric your compliance needs are both fast and cost-effective with no reindexing, rehydration, or archiving.
Data control is a vital part of any observability strategy. Parts of data controllers include data filtering, data augmentation, volume reduction, license cost management, and rapid control enabling flexible data retention on demand. For instance, you would need to store part of your observability data for 30 days and some for a year.
With the use of data filtering, you can remove sensitive or offensive content from your observability data before it is released publicly. User-defined filtering, whitelisting, and blacklisting are a few techniques that can be applied to achieve this. This enhances your observability through data augmentation by providing extra context.
Furthermore, there are several steps in the creation of an observability data fabric. Using the illustration below, you may get a sense of why it’s so important to establish an observable data structure for your organization.
Overall, the LOGIQ data fabric is a powerful observability platform that provides deep visibility into an organization’s IT environment. It helps them identify anomalies and optimize performance in order to ensure their systems run smoothly and seamlessly.
With the full-stack observability data fabric from LOGIQ, you may monitor your whole application and cloud infrastructure through a single interface and gather logs, metrics, traces, events, and security logs. We ensure broad compatibility with platforms by building on open standards and protocols.
LOGIQ removes the difficulties associated with putting in place and realizing a high ROI from full-stack visibility. Only LOGIQ.AI’s data fabric provides control, insights, compliance, and security in one platform – which is unmatched in the industry.
So Why wait any longer? Use LOGIQ.AI’s Full-stack Observability Data Fabric right now!