Pretragujući sistemi Training in Belgrade

Ova napredna obuka iz Belgrade omogućava inženjerima da projektuju i upravljaju OpenSearch klasterima velikih razmera. Naučićete da optimizujete indeksiranje, obezbedite visoku dostupnost i integrišete AWS servise. Praktične vežbe obuhvataju podešavanje performansi, bezbednost i oporavak od nesreća u distribuiranim sistemima.

This instructor-led, live training in Belgrade (online or onsite) is tailored for intermediate-level administrators and developers seeking to deepen their understanding of Elasticsearch administration. The program includes advanced techniques for dashboard development in Kibana, as well as system maintenance.

Upon completion of this training, participants will be capable of:

• Setting up and configuring Elasticsearch and Kibana environments to support advanced administration and dashboard development.
• Creating and managing Elasticsearch indices, mappings, and data models.
• Developing complex queries and filters to derive valuable insights from Elasticsearch data.
• Designing and constructing interactive dashboards in Kibana utilizing diverse visualization types and techniques.
• Implementing best practices for the administration, optimization, and troubleshooting of Elasticsearch and Kibana.

Ova instruktorska obuka Belgrade pokriva arhitekturu OpenSearcha, implementaciju klastera i table za kontrolu (dashboards). Učesnici stiču praktične veštine u konfigurisanju, bezbednom upravljanju i skaliranju klastera za pretragu za analitiku. Idealno za inženjere koji teže proizvodnoj ekspertizi u ovom open-source paketu.

Ova trenerovodjena uživa obuka u Belgrade namenjena je softverskim developerima koji žele da izgrade rešenja za pretragu i analitiku koristeći Elasticsearch.

Obuka počinje diskusijom o arhitekturi Elasticsearcha, uključujući njegov distribuirani model i API za pretragu. Nakon toga sledi objašnjenje funkcionalnosti Elasticsearcha i načina na koji se najbolje integriše u postojeće aplikacije.

Vežbe sa praktičnim radom čine važan deo obuke i pružaju učesnicima priliku da primene svoje znanje u praksi, dok pritom dobijaju povratne informacije o njihovoj implementaciji i napretku.

This instructor-led live training in Belgrade (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

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

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in 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 use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

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

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

Ova obuka koju vodi predavač, u uživo Belgrade (online ili na lokaciji klijenta), namenjena je profesionalcima naprednog nivoa koji žele efikasno da upravljaju, prate i održavaju Elasticsearch klastera radi visokog performansa i dostupnosti.

Nakon završetka ove obuke, učesnici će moći:

• Da postavljaju i konfigurisuju Elasticsearch klaster za visoku dostupnost i performanse.
• Da prate i optimizuju operacije Elasticsearch-a.
• Da integrišu Elasticsearch sa Kibanom i Logstashom za naprednu analitiku i vizualizaciju.
• Da prošire funkcionalnosti Elasticsearch-a pomoću pluginova.
• Da skaliraju Elasticsearch koristeći tehnike klasterovanja i sharding-a.

This instructor-led, live training in Belgrade is designed for system administrators who want to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 delegates is required for this course to take place.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

The Elastic Stack (previously known as the ELK Stack) is a robust collection of open-source tools built for searching, analyzing, and visualizing both structured and unstructured data. This training program is designed to give participants a thorough grasp of the core Elastic Stack components: Elasticsearch, Kibana, and Logstash. The curriculum explores fundamental principles, setup and configuration, cluster management, advanced analytical techniques, and industry best practices for production environments.

Designed to blend theoretical knowledge with practical application, the course is ideal for professionals aiming to deploy, manage, and optimize Elastic Stack solutions in real-world scenarios. Upon completion, participants will possess the necessary skills to architect, implement, and sustain scalable and resilient Elastic Stack infrastructures.

Skrivene troškove "nevidljivog" koda: Migracija na Nuxt 4 ili izgradnja na njemu nudi neverovatne performanse, ali njegovi složeni režimi renderovanja (Hybrid, ISR, SWR) stvaraju opasnu „Klizavost renderovanja“. Ako vaši developerski tim tretiraju Nuxt 4 isključivo kao UI okvir, bez razumevanja njegova ponašanja pri hidrataciji, riskirate da objavite primene koje su nevidljive za Google. Sajtokt ne može biti indeksiran donosi 0% organskog povraćaja investicije. Ispravljanje ovih arhitektonskih problema nakon lansiranja košta od 3 do 5 puta više nego što je ispravno implementirati tokom izgradnje.