During the presentation, the following issues will be considered:

- principles of building a modern microservice architecture;

- key technological solutions that ensure performance, scalability and fault tolerance;

- the results of the platform's load tests and confirmed performance indicators in highly loaded financial systems using real-world examples.

IT HUB Jetisu Digital invites government officials, heads of departments and public sector specialists to a practical intensive. Learning how to apply artificial intelligence technologies in everyday administrative tasks without complicated theory. ⠀

🎯 What awaits you at the meeting:

🔹 Optimization: Analysis of routine processes in public administration that can be delegated to neural networks today (processing citizens' requests, rewriting documents, preparing reports and press releases).

🔹 Efficiency: Setting up AI assistants to quickly analyze large amounts of regulatory legal acts, collect data, and generate analytical reports.

🔹 Practice: A step-by-step algorithm for making effective requests (prompts) to obtain accurate and legally competent answers from AI systems.

📆 Date and time: July 29, 09:00 - 14:00

🌐 Place: Zhansugurov village, Zheltoksan st., 5B.

During the webinar, ART-Fintech experts will talk about modern approaches to building a highly accessible container infrastructure for financial organizations that ensures the continuous operation of critical services even in the event of hardware, software, or entire sites failures.

In the webinar program:

1. Fault-tolerant container cluster

• fault tolerance levels of container infrastructure;
• clustering of management and work nodes;
• service replication and automatic application recovery;
• eliminating single points of failure.

2. Load distribution and balancing

• balancing external traffic;
• Ingress controllers and service balancing;
• horizontal application scaling;
• peak load handling;
• automatic service availability monitoring.

3. Data and storage fault tolerance

• ensuring high availability of PostgreSQL, MongoDB and other databases;
• OpenSearch/ELK fault-tolerant search clusters;
• distributed file and block storage (Piraeus/LINSTOR, Ceph);
• data protection, replication, and disaster recovery;
• differences between replication, backup, and archiving.

4. Distributed Platforms and Disaster Recovery

• building infrastructure in multiple data centers;
• Active-Passive, Active-Active, and "warm" reserve schemes;
• one distributed cluster or several independent clusters;
• synchronization of applications, databases, and storage;
• RTO and RPO indicators;
• scenarios for switching to a backup site and returning after an accident.

A practical example

At the end of the webinar, an example of building a fault-tolerant container platform, including application services, databases, a search cluster and distributed storage, will be considered.