Introduction
The purpose of this article is to provide some valuable insights on the Elastic stack, also known as ELK, how it works and if it can be an option for your business.
What is the elastic stack and what its components do?
Elastic Stack is a group of open-source products provided by Elastic, designed to help users take data from any type of source and in any format and search, analyze, and visualize that data in real time. The product group was formerly known as ELK Stack, in which the letters in the name stood for the products in the group: ElasticSearch, Logstash and Kibana. Beats was later added to this group.
On a high level, the Elastic stack component scan be described as follows:
Elasticsearch is an open-source, full-text search and analysis engine based on the Apache Lucene search engine.
Logstash is a log aggregator that collects data from various input sources, executes different transformations and enhancements, and ships the data to various supported output destinations.
Kibana is a visualization layer that works on top of Elasticsearch, providing users with the ability to analyze and visualize the data.
Beats are lightweight agents installed on edge hosts to collect different types of data for forwarding into the stack.
Together, these different components are most commonly used for monitoring, troubleshooting, and securing IT environments.
Here is a diagram with a common architecture for the Elastic stack:
Beat sand Logstash take care of data collection and processing, Elasticsearch indexes and stores the data, and Kibana provides a user interface for querying the data and visualizing it. While dealing with large amounts of data, you may need for example, a Kafka queue, for buffering and resilience.
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Why is the Elastic Stack so popular?
Firstly, the ELK Stack is popular because it fulfills a need in the log management and analytics space. Monitoring the modern applications and IT infrastructures they are deployed on requires a log management and analytics solution that enables engineers to overcome the challenge of monitoring highly distributed, dynamic, and noisy environments.
Secondly, the ELK Stack is open-source. With IT organizations favoring open-source products, this alone could explain the popularity of the stack. Using open-source means organizations can avoid vendor lock-in and onboard new talent much more easily. Open source also means a vibrant community constantly drives new features and innovation and helps when needed.
Why Use ELK(Elastic) Stack?
The Elastic Stack meets the needs of growing businesses with an efficient, integrated toolset designed to deliver actionable real-time insights from large sets of search data. Its highly active community and years of successful implementations offer an unmatched combination of maturity and future-proof development. Organizations should understand that a single second of an outage or slow application performance in today’s competitive environment can become a challenge since performance issues can affect a brand and, in some situations, lead to an immediate financial loss.
Engineers rely on the many forms of data created by their applications and the infrastructure that supports them to guarantee that apps are always accessible, performant, and secure. This data, whether in the form of event logs, metrics, or both, allows for system monitoring and the discovery and resolution of issues as they arise.
Here’s where centralized log management and analytics solutions such as ELK Stack come in handy, giving developers the information they need to guarantee apps are always available and performant.
There are many reasons to consider the Elastic Stack, but here are four of the most important.
Enterprise Search: empower users to search for everything from anywhere. Elastic can unify your content platforms into a highly personalized and relevant search experience. By unifying content platforms at the search level, the Elastic Stack empowers users to search across enterprise systems and data silos, giving them a comprehensive yet highly personalized search experience.
Observability: Elastic stack brings real-time metrics, logs, and APM traces (Datadog Application Performance Monitoring) into a single easily consulted view. Companies can spot opportunities as they arise and challenges as they begin to develop, allowing for a quick and profitable response.
Scalability: Elastic deploys at scale, regardless of a company’s technical infrastructure. Public and private cloud implementations, bare-metal or containerized, even as a SaaS solution, Elastic is built to work with any company’s systems and adapt as companies grow.
Security: on top of the platform’s internal security (index encryption, field-level security on documents), the SIEM(Security Information and Event Management) app collects security information across the enterprise. It provides richly detailed dashboards that allow scrutiny of security operations. Here is a small list of popular companies using the Elastic stack or just parts of it: Netflix, Dell, Stack overflow, LinkedIn, Fujitsu, eBay, Vimeo, GitHub, Cisco, Facebook, Accenture Activision, Adobe, BBC, BLIZZARD, Bloomberg.
How small businesses can benefit from using Elastic
1. Even small business generates a large amount of data.
You may believe that your business doesn’t generate much data because of its size. In reality, even the smallest business creates huge amounts of potentially valuable data: the prices of your products and services, your customers’ habits, your special offers and even how well your business is growing compared to its rivals all interact and affect one another.
Even the smallest company can create large amounts of valuable data: customer habits, prices of products and services, the impact of your special offers, or how well your sales are.
2. Small businesses can grow fast.
If you found out about the Elastic stack and you’re thinking about logging and centralized data and analysis software, it’s not likely that your business will remain small. By implementing this solution while your business is still small, you can ensure that you’ll handle all the data your business generates when it gets bigger. It is more of a proper way to worry about setting up a data logging and analysis into your business. In contrast, when your business is small or even from the start, rather than having to do it when your log data is already hard to deal with. What’s more, building data analysis into your business from the start may help it grow more quickly, as it enables you to understand your business better.
For the ELK enthusiasts out there we highly recommend our article on how to integrate ELK with IBM, where our colleague Andrei will give you some useful tips and tricks tips that will help you with the implementation, click here to read it!
Conclusions
ELK its an essential tool that companies can use to overcome challenges related to data. The components of the ELK stack, when used together, allow you to aggregate logs from all of your systems. Not only should you look for issues, but you should also keep an eye on how the system is being used and look for ways to enhance it. During our implementation of ELK for a large company in banking, we created an opportunity for the company to get a better overview of its operations, find better alternatives, and improve its line of services.
Do you want to get started with ELK to get the most out of your valuable data? You are in the right place to begin implementing ELK since our team of experts is more than happy to assist you in making your data one of your strongest assets.
