Search Engines Training in Christchurch

The Elastic Stack (ELK) is a powerful platform for searching, analysing, and visualising log data in real-time from multiple sources.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT professionals who wish to deepen their ELK expertise in managing distributed log data, automating alerts, and creating advanced visualisations and dashboards.

By the end of this training, participants will be able to:

• Configure advanced ingestion and parsing flows from multiple sources, including databases.
• Create customised Kibana dashboards tailored to different teams or use cases.
• Implement email notifications and condition-based alerts.
• Use regular expressions to improve search precision in logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

OpenSearch is a scalable, open-source search and analytics suite designed for high-volume data indexing, observability, and real-time analytics across distributed systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and architects who wish to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics workloads, both on-premises and using AWS OpenSearch Service.

By the end of this training, participants will be able to:

• Design and deploy highly scalable OpenSearch clusters across multiple environments.
• Optimise indexing, search, and storage for performance at scale.
• Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployments.
• Implement observability, high availability, and automated recovery strategies.

Format of the Course

• Instructor-led theory sessions with guided discussions.
• Extensive hands-on exercises simulating real-world scaling challenges.
• Practical lab work on distributed deployment and performance tuning.

Course Customisation Options

• This course can be adapted to emphasise your organisation's data size, performance goals, and deployment environment.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as system maintenance.

By the end of this training, participants will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualisation types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimisation, and troubleshooting.

OpenSearch is an open-source search and analytics suite derived from Elasticsearch 7.10 and Kibana 7.10, originally developed by AWS to maintain a fully open alternative following licensing changes by Elastic NV.

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers and architects who wish to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics workloads, while gaining a clear understanding of its relationship with AWS OpenSearch Service.

By the end of this training, participants will be able to:

• Understand the architecture, components, and capabilities of OpenSearch and its dashboards.
• Deploy and configure OpenSearch clusters both on-premises and in the cloud.
• Integrate OpenSearch with AWS OpenSearch Service and other enterprise data systems.
• Optimise performance, security, and scalability for production-grade deployments.

Course Format

• Instructor-led explanations combined with live demonstrations.
• Hands-on labs and real-world configuration exercises.
• Collaborative discussions focused on troubleshooting and industry best practices.

Course Customisation Options

• To tailor the content or focus of this OpenSearch training to your organisation’s specific needs, please contact us to arrange a customised session.

This instructor-led, live training in Christchurch is designed for software developers who want to build search and analytics solutions using Elasticsearch.

The course begins with an exploration of Elasticsearch architecture, including its distributed model and search API. It then delves into Elasticsearch's core functionality and provides guidance on integrating it effectively into existing applications.

Practical exercises form a key component of the training, offering participants the opportunity to apply their knowledge while receiving feedback on their implementation and progress.

This instructor-led, live training in Christchurch (online or on-site) is designed for developers and administrators who wish to use OpenSearch to perform distributed search and data analytics within a unified and secure system.

By the end of this training, participants will be able to:

• Set up the necessary development environment to begin building search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and utilise plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to optimise the search experience while maintaining cluster security.
• Use OpenSearch Dashboards to centralise data management, visualisation, logging, monitoring, and maintenance.

This instructor-led, live training in Christchurch (on-site or remote) is designed for developers who wish to learn how to use Solr for advanced development.

By the end of this training, participants will be able to:

• Tune and scale Solr and SolrCloud.
• Streamline the monitoring of log files.
• Integrate plugins for both indexing and query-time operations.
• Create optimised clusters capable of handling thousands of queries per second.

This instructor-led, live training in Christchurch (online or on-site) is aimed at beginner-level IT professionals and developers who wish to use Elasticsearch to store, search, and analyse data in real time.

By the end of this training, participants will be able to: install and configure Elasticsearch, index and query data, optimise search performance, and integrate Elasticsearch into applications.

This instructor-led, live training in Christchurch (available online or on-site) is designed for advanced-level professionals who wish to effectively administer, monitor, and maintain Elasticsearch clusters to ensure high performance and availability.

By the end of this training, participants will be able to:

• Deploy and configure Elasticsearch clusters for high availability and optimal performance.
• Monitor and fine-tune Elasticsearch operations.
• Integrate with Kibana and Logstash for advanced analytics and visualisation.
• Extend Elasticsearch capabilities through plugins.
• Scale Elasticsearch using clustering and sharding techniques.

This instructor-led, live training in Christchurch is designed for system administrators who want to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of three participants is required for this course to run.

The course begins with an exploration of ELK architecture and functionality, followed by hands-on lab implementation and practical exercises. These interactive sessions form a core component of the training, allowing participants to apply their knowledge in real-time while receiving constructive feedback on their progress.

This training introduces Kibana to Elasticsearch users.

Kibana is an open-source analytics and visualisation platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualise your data using a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

The Hidden Cost of "Invisible" Code: Migrating to or building with Nuxt 4 delivers incredible performance, yet its complex rendering modes (Hybrid, ISR, SWR) create a dangerous "Rendering Cliff." If your developers treat Nuxt 4 purely as a UI framework without grasping its hydration behaviour, you risk deploying applications that remain invisible to Google. A site that cannot be indexed yields zero per cent organic return on investment. Rectifying these architectural issues post-launch costs three to five times more than implementing them correctly from the outset.

OpenSearch is an open-source search and analytics engine, initially forked from Elasticsearch. It delivers distributed search, log analytics, and observability capabilities without the risks associated with licensing or vendor lock-in in managed services.

This instructor-led live training, available either online or onsite, is designed for intermediate DevOps and search engineers looking to migrate away from Amazon OpenSearch, Elastic Cloud, or Splunk by adopting OpenSearch.

Upon completing this training, participants will be equipped to:

• Deploy and secure a multi-node OpenSearch cluster.
• Ingest logs, traces, and metrics using Beats, Fluent Bit, and OpenTelemetry.
• Construct dashboards within OpenSearch Dashboards.
• Implement role-based access control and index lifecycle policies.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange a customized version of this course, please contact us.

This instructor-led, live training in Christchurch (available online or on-site) is designed for web developers who want to use regular expressions to build robust algorithms for defining search patterns.

By the end of this training, participants will be able to:

• Write complex search patterns using character sets.
• Apply regular expression techniques to any regex engine, such as PHP, Python, and others.
• Script automation into system processes using extended regular expressions.

Apache SolrCloud is a distributed data processing engine designed to facilitate the searching and indexing of files across a distributed network.

In this instructor-led, live training, participants will learn how to set up a SolrCloud instance on Amazon AWS.

By the end of this training, participants will be able to:

• Understand SolrCloud's features and how they compare to those of conventional master-slave clusters
• Configure a SolrCloud centralised cluster
• Automate processes such as communicating with shards, adding documents to the shards, and more
• Leverage Apache ZooKeeper in conjunction with SolrCloud to further automate workflows
• Use the interface to manage error reporting
• Load balance a SolrCloud deployment
• Configure SolrCloud for continuous processing and failover

Audience

• Solr Developers
• Project Managers
• System Administrators
• Search Analysts

Course format

• Combination of lecture, discussion, exercises, and extensive hands-on practice

This course introduces participants to the Solr platform. Through a blend of lectures, discussions, and hands-on labs, students will gain practical experience in configuring effective search and indexing solutions.

The course begins with fundamental Solr installation and configuration, then guides attendees through Solr’s search capabilities. Participants will gain experience with faceting, indexing, and search relevance, alongside other core features of the Solr platform. The course concludes with advanced topics such as spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators