Vadym Kazulkin
@vkazulkin.bsky.social
360 followers
240 following
920 posts
Husband and papa of 3 | International speaker | AWS Serverless Hero | Huge Java fan | 👨💻 as Head of Development at ip.labs | Co-Org of Java User Group Bonn.
On intersection of people, business and technology.
Blogging on https://dev.to/vkazulkin
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 28
Open Protocols for Agent Interoperability Part 2: Authentication on MCP | Amazon Web Services
In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how the Model Context Protocol (MCP) can be used to facilitate inter-agent communication and the MCP specification ...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 28
AWS costs estimation using Amazon Q CLI and AWS Cost Analysis MCP | Amazon Web Services
In this post, we explore how to use Amazon Q CLI with the AWS Cost Analysis MCP server to perform sophisticated cost analysis that follows AWS best practices. We discuss basic setup and advanced techn...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 28
Supercharging AWS database development with AWS MCP servers | Amazon Web Services
Amazon Aurora, Amazon DynamoDB, and Amazon ElastiCache are popular choices for developers powering critical workloads, including global commerce platforms, financial systems, and real-time analytics a...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 21
Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose | Amazon Web Services
In this post, we walk through two solutions that demonstrate how to stream data from your Amazon MSK provisioned cluster to Iceberg-based data lakes in Amazon S3 using Amazon Data Firehose.
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 20
How to prioritize security risks using AWS Security Hub exposure findings | Amazon Web Services
At re:Inforce 2025, AWS unveiled an enhanced AWS Security Hub that transforms how organizations prioritize their most critical security issues and respond at scale to protect their cloud environments....
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 14
Build generative AI solutions with Amazon Bedrock | Amazon Web Services
In this post, we show you how to build generative AI applications on Amazon Web Services (AWS) using the capabilities of Amazon Bedrock, highlighting how Amazon Bedrock can be used at each step of you...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 14
From raw to refined: building a data quality pipeline with AWS Glue and Amazon S3 Tables | Amazon Web Services
Organizations often struggle to extract maximum value from their data lakes when running generative AI and analytics workloads due to data quality challenges. Although data lakes excel at storing mass...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 14
Deploy Qwen models with Amazon Bedrock Custom Model Import | Amazon Web Services
You can now import custom weights for Qwen2, Qwen2_VL, and Qwen2_5_VL architectures, including models like Qwen 2, 2.5 Coder, Qwen 2.5 VL, and QwQ 32B. In this post, we cover how to deploy Qwen 2.5 mo...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 14
Query Amazon S3 Tables from open source Trino using Apache Iceberg REST endpoint | Amazon Web Services
Organizations are increasingly focused on addressing the growing challenge of managing and analyzing vast data volumes, while making sure that their data teams have timely access to this data to enabl...
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Vadym Kazulkin
@vkazulkin.bsky.social
· Jun 11
Effective cost optimization strategies for Amazon Bedrock | Amazon Web Services
With the increasing adoption of Amazon Bedrock, optimizing costs is a must to help keep the expenses associated with deploying and running generative AI applications manageable and aligned with your o...
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