Ervin Szilagyi
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ervinszilagyi.dev
Ervin Szilagyi
@ervinszilagyi.dev
💻Software Engineer
☁️AWS Community Builder
🎖️8xAWS Certified
✒️Sometimes I write about clouds on http://ervinszilagyi.dev and on http://dev.to/ervin_szilagyi
Pinned
List of AWS Community Builders I could find on bsky. Follow them if you are interested in AWS and cloud related topics.

If you are a Community Builder and you want to be part of the list, hit me up, and I will add you.

go.bsky.app/NFaJFWC
late to the party, but in the end i managed to finish my blogpost
July 25, 2025 at 8:10 PM
Reposted by Ervin Szilagyi
🆕 AWS launches Model Context Protocol (MCP) server for real-time access to AWS pricing data via AI agents. Available on GitHub, it enables natural language comparisons and decisions on AWS services, integrating easily with AI assistants like Amazon Q and Claude.

#AWS
Announcing Model Context Protocol (MCP) Server for AWS Price List
Today, AWS announces the release of the Model Context Protocol (MCP) server for AWS Price List, now available in the AWS Labs GitHub repository. The MCP server provides AI agents with real-time access to AWS product data, availability information and pricing details, including on-demand, reserved, and savings plans. With this launch, you can leverage AI assistants, including Amazon Q Developer CLI, and Claude Desktop, to retrieve AWS product and pricing information, compare pricing options across regions, and make data-driven decisions about AWS service selections - all through natural language conversations. You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Price List using standard AWS credentials with minimal configuration required. To get started, visit the AWS Labs GitHub repository.
aws.amazon.com
July 14, 2025 at 5:40 PM
I just received my grug brained developer book.
The book is the print version of the famous blog post from grugbrain.dev
There is no additional content aside from that, nevertheless it is cool swag to have😅
July 3, 2025 at 10:24 AM
Working on databases from prison: How I got here, part 2.
turso.tech
June 16, 2025 at 9:11 PM
@bytevagabond.com
hey man,
chill your bots
June 6, 2025 at 8:37 AM
Reposted by Ervin Szilagyi
🆕 Anthropic's advanced Claude Opus 4 and Sonnet 4 models are now in Amazon Bedrock, offering top coding, AI agent capabilities, and hybrid reasoning. Integrate via Amazon Bedrock API/SDK. Visit AWS News Blog for region details and pricing.

#AWS #AmazonBedrock #AmazonMachineLearning
Anthropic's Claude 4 foundation models now in Amazon Bedrock
The next generation of Anthropic's Claude models, Claude Opus 4 and Claude Sonnet 4, are now available in Amazon Bedrock, representing significant advancements in AI capabilities. These models excel at coding, enable AI agents to analyze thousands of data sources, execute long-running tasks, write high-quality content, and perform complex actions. Both Opus 4 and Sonnet 4 are hybrid reasoning models offering two modes: near-instant responses and extended thinking for deeper reasoning. Claude Opus 4: Opus 4 is Anthropic’s most powerful Claude model to date and Anthropic’s benchmarks show it is the best coding model available, excelling at autonomously managing complex, multi-step tasks with accuracy. It can independently break down abstract projects, plan architectures, and maintain high code quality throughout extended tasks. Opus 4 is ideal for powering agentic AI applications that require uncompromising intelligence for orchestrating cross-functional enterprise workflows or handling a major code migration for a large codebase. Claude Sonnet 4: Sonnet 4 is a midsize model designed for high-volume use cases and can function effectively as a task-specific sub-agent within broader AI systems. It efficiently handles specific tasks like code generation, search, data analysis, and content synthesis, making it well suited for production AI applications requiring a balance of quality, costeffectiveness, and responsiveness. You can now use both Claude 4 models in Amazon Bedrock. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information including region availability, see the AWS News Blog, Anthropic's Claude in Amazon Bedrock product page, and the Amazon Bedrock pricing page.
aws.amazon.com
May 22, 2025 at 8:40 PM
May 15, 2025 at 5:54 AM
Reposted by Ervin Szilagyi
All-and-all, those cold starts numbers are rough, even with SnapStart enabled.

Thank you @vkazulkin.bsky.social for the measurements.
May 12, 2025 at 3:04 PM
Senior Engineer tries Vibe Coding.
YouTube video by Programmers are also human
youtu.be
April 9, 2025 at 11:59 AM
Reposted by Ervin Szilagyi
I've always recommended declaring foreign keys in SQL databases, even read-only ones, and made fun of relational databases that cannot enforce them, so what about MongoDB?

A document model is different: dev.to/franckpachot...
Foreign Keys: A must in SQL, but not in a Document Database?
In relational SQL databases, foreign keys are essential for guaranteeing referential integrity. There...
dev.to
April 3, 2025 at 1:52 PM
that's mine😉
April 2, 2025 at 2:15 PM
I just published a new blog post about slim Dockerized AWS Lambda functions:
ervinszilagyi.dev/articles/bui...
Building Super Slim Containerized Lambdas on AWS - Revisited
Personal web page and blog.
ervinszilagyi.dev
April 2, 2025 at 8:52 AM
Reposted by Ervin Szilagyi
🆕 Amazon EC2 now supports full bandwidth for inter-region VPC peering and AWS Direct Connect, plus jumbo frames up to 8500 Bytes for cross region VPC peering, boosting data transfer speeds. Available in all commercial regions.

#AWS #AmazonEc2 #AwsGovcloudUs
Amazon EC2 now supports more bandwidth and jumbo frames to select destinations
Amazon EC2 now supports up to the full EC2 instance bandwidth for inter-region VPC peering traffic and to AWS Direct Connect. Additionally, EC2 supports jumbo frames up to 8500 Bytes for cross region VPC peering. Before today, the egress bandwidth for EC2 instances was limited to 50% of the aggregate bandwidth limit for instances with 32 or more vCPUs, and 5 Gbps for smaller instances. Cross region peering supported up to 1500 bytes. Now, customers can send bandwidth from EC2 between regions or towards AWS Direct Connect at the full instance baseline specification or 5Gbps, whichever is greater and customers can use jumbo frames across regions for peered VPCs. Customers transferring data between regions or from EC2 to their on-premises network via AWS Direct Connect now have access to the full instance bandwidth capabilities. Before today, customers sending traffic to any destination not in the same region had a lower bandwidth limit. With this change, the lower limit has been removed for destinations between AWS regions and to on-premises through AWS Direct Connect, allowing for faster transfers. Additionally, supporting jumbo frames for peering makes sending large volumes of data faster than before. This capability is available in all AWS commercial regions, the AWS GovCloud (US) Regions, and the Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. Customers can take advantage of this capability without any additional changes. To learn more about EC2 bandwidth capabilities, please review our user guide.
aws.amazon.com
March 28, 2025 at 8:40 PM
The "vibe coding" mind virus explained…
YouTube video by Fireship
youtu.be
March 27, 2025 at 7:27 AM
Coretto now supports Java 24.
#java
🆕 Amazon Corretto 24, a no-cost OpenJDK 24 distribution, is now available with enhanced performance, new garbage collector, and quantum-resistant security features. Download it from the Corretto home page or configure a Linux repo for updates.

#AWS #AmazonCorretto
Amazon Corretto 24 is now generally available
Corretto 24 is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. Corretto 24 is an OpenJDK 24 Feature Release, which will be supported through October, 2025. OpenJDK 24 introduces enhanced performance with two new experimental features: the Generational Shenandoah garbage collector, designed to improve sustainable throughput, load-spike resilience, and memory utilization, and Compact Object Headers, designed to improve heap usage by shrinking object headers from between 96 and 128 bits down to 64 bits on 64-bit architectures. Additionally, this release includes Ahead-of-Time Class Loading & Linking, designed to improve startup time by making the classes of an application instantly available, Synchronize Virtual Threads without Pinning, designed to eliminate nearly all cases of virtual threads being pinned to platform threads, Quantum-Resistant Module-Lattice-Based Key Encapsulation Mechanism, designed to be secure against future quantum computing attacks. For more information about the features in OpenJDK 24, a detailed description can be found on its Project page. Amazon Corretto is distributed by Amazon under an open source license. Click on the Corretto home page to download Corretto 24. You can also get the updates on your Linux system by configuring a Corretto Apt or Yum repo.
aws.amazon.com
March 24, 2025 at 10:57 PM
Okay, so which one is the recommended outlook app? Should I use Outlook (new) or Outlook New.

I think the reddish "New" label is meant to mark the app as recently installed, but it is still confusing as fck.

#Microsoft
March 7, 2025 at 4:43 PM
Reposted by Ervin Szilagyi
🆕 Amazon GameLift Streams streams games at 1080p and 60fps to WebRTC devices, enabling instant demos and secure playtesting. No code changes, scalable in six AWS regions, available in US, Asia Pacific, and Europe.

#AWS #AmazonGamelift
Announcing Amazon GameLift Streams
Amazon GameLift Streams is a new managed capability that allows developers to stream games at up to 1080p resolution and 60 frames per second to any device with a WebRTC-enabled browser. In just a few clicks, you can upload games built with a variety of 3D engines with little to no modification, provision streaming capacity in specific AWS Regions, and immediately start test streaming. Players can start playing AAA, AA, and Indie games over the internet in just a few seconds on their PCs, phones, tablets, and smart TVs without waiting hours for a download. With Amazon GameLift Streams, you can create new direct-to-player distribution channels, launch instant-play game demos, conduct secure playtesting, and expand monetization opportunities. With support for Windows, Linux, and Proton runtimes, Amazon GameLift Streams helps you avoid the expense and complexity of modifying and rebuilding game code for streaming. You can flexibly scale streaming up or down based on player demand, and only provision and pay for the capacity you need. You can choose from six AWS Regions to deliver low-latency game play closer to players around the world. This new capability opens opportunities for you to expand the reach, engagement, and sales of your games while maintaining full control over the player relationship, experience, branding, and business model. Amazon GameLift Streams is a new capability of Amazon GameLift, a fully managed service on AWS empowering developers to build and deliver the world’s most demanding games. The new capability is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). To learn more, visit the Amazon GameLift Streams website, read the Developer Guide, or explore the AWS News Blog post.
aws.amazon.com
March 6, 2025 at 5:40 PM