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Elastic Stack: How to integrate Elasticsearch, Logstash, and Kibana?

5 min read

28/04/25 12:12

The Elastic Stack, formerly known as the ELK Stack, is a powerful suite of tools that helps organizations make sense of massive volumes of data in real time. It combines three key components: Elasticsearch for storing and querying data, Logstash for data ingestion and transformation, and Kibana for visualization and analysis.

These tools enable businesses to collect data from multiple sources, analyze it at scale, and gain actionable insights through intuitive dashboards. Whether for observability, security analytics, or operational intelligence, the Elastic Stack is a flexible and scalable solution that can support various digital transformation initiatives.

Understanding the Elastic Stack components

Logstash Elastic Stack components

Each component of the Elastic Stack plays a specific role:

  • Elasticsearch is the engine where data is stored, indexed, and made searchable. It offers powerful full-text search, fast retrieval, and advanced analytics capabilities. It's also designed to scale horizontally, making it suitable for small projects as well as enterprise-level data platforms.

  • Logstash acts as a data processing pipeline that ingests data from various sources, enriches it through filtering and transformation, and sends it to Elasticsearch. It supports hundreds of input, filter, and output plugins, making it highly adaptable for different data types and integration scenarios.

  • Kibana provides the user interface for visualizing data, exploring trends, building dashboards, and setting up alerts. It turns raw data into business intelligence and gives technical and non-technical users a shared visual language to explore insights collaboratively.

Related article: What is Kibana and how to use it with Elasticsearch?

The value of integrating Elasticsearch, Logstash, and Kibana

Logstash Elastic Stack Kibana

When fully integrated, the Elastic Stack provides a seamless workflow for data:

  1. Data is collected and processed using Logstash, which supports a wide range of data sources, including logs, metrics, databases, APIs, and third-party applications.

  2. Processed data is indexed in Elasticsearch, which can be searched, filtered, and aggregated in real-time. Elasticsearch enables structured queries and complex analytics across time series and event data.

  3. Kibana connects to Elasticsearch to offer a visual representation of the data - ideal for dashboards, executive reporting, and deep analytical exploration.

This integrated stack empowers teams to:

  • Identify system anomalies and performance issues

  • Detect and investigate security threats in real-time

  • Monitor infrastructure, networks, and applications

  • Analyze customer behavior, product usage, and digital journeys

  • Automate reporting and alerting processes for faster response

Common use cases

Logstash Elastic Stack common cases

The Elastic Stack is used across industries for a variety of purposes thanks to its modularity and extensibility:

  • IT observability: Centralising logs, metrics, and traces from servers, containers, and cloud services to ensure application performance and availability.

  • Security analytics (SIEM): Collecting and correlating security event data to detect anomalies, prevent threats, and support compliance requirements.

  • Log and event management: Consolidating data from multiple systems and applications for streamlined monitoring and forensic analysis.

  • Business intelligence: Enabling business units to visualize KPIs, sales data, customer interactions, and operations in real time.

  • IoT analytics: Processing large volumes of machine-generated data from sensors and devices to extract meaningful patterns.

Related article: OpenSearch vs Elasticsearch: What are the differences and how to choose?

Why Syone is your ideal partner for Elastic Stack projects

Logstash Elastic Stack Syone projects

Implementing and optimizing the Elastic Stack requires more than technical knowledge—it requires strategic expertise. At Syone, we combine both.

As an Elite Elastic Partner and the only official Portuguese partner, we support organizations in designing, deploying, and maintaining powerful Elastic Stack environments that are tailored to specific business goals.

Our services include:

  • Elastic Stack architecture consulting and requirements analysis

  • Integration with enterprise systems, cloud providers, and third-party platforms

  • End-to-end data pipeline optimization using Logstash, Beats, and Elastic Agent

  • Security configuration, user role definition, and access control setup

  • Custom dashboard development in Kibana aligned with business objectives

  • Managed services, monitoring, and 24/7 technical support

Whether you're starting a new implementation or scaling an existing environment, our team ensures your Elastic Stack is optimized for performance, compliance, and growth.

We have successfully delivered Elastic Stack solutions for clients in finance, telecom, public sector, retail, and healthcare—enabling them to unlock real-time insights and improve operational efficiency.

Conclusion

Logstash Elastic Stack platform

The Elastic Stack offers a unified, scalable, and flexible platform for managing and analyzing data in real-time. Integrating Elasticsearch, Logstash, and Kibana enables organizations to gain deep insights, monitor systems effectively, and respond faster to changing conditions.

However, expert implementation is key to unlocking the full potential of the Elastic Stack. From strategy to deployment to long-term support, Syone is the trusted partner to help you achieve this.

Talk to one of our specialists to discuss how Syone can help build a high-performing Elastic Stack tailored to your needs. Learn more at https://www.syone.com/elastic.

Topics: Elastic

Henrique Canha
Written by Henrique Canha

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