Elasticsearch Consulting

• Elasticsearch is a fast, highly scalable search technology built on top of Lucene.
• Top features include full-text search, autocomplete, facets, filters, spell-checking, hit-highlighting, paging and boosting.
• At Cazton, we help Fortune 500, large and mid-size companies with Elasticsearch development, consulting, recruiting services and hands-on training services.

Search is one of the most important tools in any web application. Having a robust and fool-proof search system can boost your business growth in many ways. One such technology that empowers search is called Elasticsearch. Unlike traditional RDBMS, Elasticsearch is designed to allow full-text searching. It allows you to create your own search-engine that is fast, powerful and scalable. In addition to web searches, Elasticsearch is also used for log analysis and big data analytics. We at Cazton have Elasticsearch experts who have years of practical experience in implementing this amazing technology for a number of client projects. Read on to find out if it is the right tool for your business.

What is Elasticsearch?

Elasticsearch is an open-source, powerful, scalable, and real-time search technology. It provides a full-text search and analytics engine. Elasticsearch is scalable because you can deploy this technology on a cluster of computers without compromising on performance.

Over the years, Elasticsearch has garnered attention of developers and has become one of the most popular and preferred search technologies. Some of the top companies that use Elasticsearch include LinkedIn, eBay, StackOverflow, Uber, BBC, and Netflix.

What is Logstash?

Logstash is an open-source data processing pipeline that offers real-time capabilities that help you ingest data from a wide range of sources, transform that data, and store it at your desired storage location. It provides flexible filters and more than 200 plugins that help in indexing data the way we want. Logstash is the preferred data processing pipeline for Elasticsearch.

What is Kibana?

Kibana is an open-source data visualization and exploration platform designed to work in conjunction with Elasticsearch. It is very useful for visualizing complex data streams with graphical representation. Kibana helps visualize real-time data about visitors to your webpage, number of sales per region, locations from sensor data, emails sent, most frequent errors and much more.

What is Elasticsearch Shield?

Elasticsearch Shield is a security plugin that allows us to protect Elasticsearch clusters from unintentional modification or unauthorized access, with a username and password. Advanced security features like encryption, role-based access control, IP filtering, and auditing are also available when needed.

Benefits of using Elasticsearch

Some of the advantages of using Elasticsearch are:

• Scalability: Elasticsearch can store petabytes of data and can be deployed on a huge cluster of computers, ranging from one single node to hundreds of nodes without affecting the performance; thus allowing the user to manage complexity of the distributed design. Elasticsearch takes care of all complexity!
• Super-Fast: As compared to a traditional RDBMS, Elasticsearch indexes and queries data in near real-time (i.e. within a single second), making it one of the fastest search engine technologies. Complex search using a traditional relational database might take a few seconds; however, Elasticsearch provides complex search results in milliseconds.
• Inverted-Indexing: Elasticsearch uses the inverted-indexing mechanism that indexes the documents passed to it and thus provides high-performance results.
• High-Level API: Elasticsearch provides high level APIs that are developer-friendly; which makes their job much easier. This set of API is RESTful that works over HTTP and helps make the process of indexing as well as searching easier.
• Schema-Free: All documents are stored in JSON format.
• Multiple-Usage: In addition to full-text searches, we can use Elasticsearch for auto-suggest, auto-complete, spell-checker, geolocation search, enterprise search and much more.
• Manage Huge Quantity of Data: We can store billions of documents inside a single index and each cluster can hold up to petabytes of indexes, which virtually makes the storage limitless.
• ELK Stack: This is a new stack of three open-source technologies, which have become one of the world's most popular log-management platforms. ELK stands for Elasticsearch, Logstash and Kibana. Elasticsearch is used for deep search and data analytics; Logstash for centralized logging, log enrichment and parsing; and Kibana for powerful and beautiful data visualizations.

Elasticsearch & Big Data

Cazton has been a pioneer in Big Data Consulting and in addition to using Hadoop, Spark, Kafka and Scala, Elasticsearch is widely used by our big data specialists. Big Data analytics, which has become one of the most booming fields in technology, is now closely related to Elasticsearch. Elasticsearch, along with Logstash and Kibana, makes a new elastic stack called ELK, which is gaining momentum due to easy installation, JSON based-query language, developer-friendly API and easy to use dashboard.

How Cazton Can Help You With Elasticsearch

At Cazton, our seasoned Elasticsearch and ELK Stack experts help organizations design, deploy, optimize, and scale powerful search and analytics solutions. We offer:

• Custom Elasticsearch solutions: Design and implement tailored search architectures for your specific use cases.
• ELK Stack implementation: End-to-end setup and optimization of Elasticsearch, Logstash, and Kibana for logging, monitoring, and analytics.
• Search optimization: Fine-tune queries, mappings, and indexing strategies for maximum speed and relevance.
• Cluster management: Set up, automate, monitor, and scale Elasticsearch clusters in on-prem, cloud, or hybrid environments.
• Security and access control: Implement robust authentication, role-based access control, and secure data transport.
• Data ingestion pipelines: Build scalable ingestion pipelines with Logstash, Beats, Kafka, or custom solutions.
• Integration services: Seamlessly integrate Elasticsearch with your existing applications, databases, APIs, or front-end tools.
• Migration and upgrades: Safely migrate from older versions or other search platforms with minimal downtime.
• Monitoring and alerting: Use Kibana, Grafana, or custom tools for performance insights and system health.
• Training and mentorship: Upskill your teams with hands-on Elasticsearch training tailored to beginner or advanced levels.
• Cost optimization: Identify opportunities to reduce infrastructure costs while maintaining high availability and performance.
• Performance audits: Conduct in-depth evaluations of your existing deployment and recommend improvements.

Need expert support to scale your Elasticsearch solutions? Contact us today and let’s build smarter, faster search together.