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How are you handling the data revolution? We want your take on what's real, what's hype, and what's next in the world of data engineering.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

SBOMs are essential to circumventing software supply chain attacks, and they provide visibility into various software components.

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Abhishek Gupta

DZone Core CORE

Principal PM, Azure Cosmos DB at Microsoft

New Delhi, IN

Joined Aug 2009

https://abhirockzz.github.io/

About

I mostly work on open-source technologies including distributed data systems, Kubernetes and Go

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Reputation: 6609
Pageviews: 2.5M
Articles: 122
Comments: 10

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Articles

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A Simple, Convenience Package for the Azure Cosmos DB Go SDK
Learn about cosmosdb-go-sdk-helper: Simplify Azure Cosmos DB operations with Go. Features auth, queries, error handling, metrics, and Azure Functions support.
May 14, 2025
· 3,212 Views · 1 Like
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How to Configure and Customize the Go SDK for Azure Cosmos DB
Explore Azure Cosmos DB Go SDK: Configure retry policies, customize HTTP pipelines, implement OpenTelemetry tracing, and analyze detailed query metrics.
May 8, 2025
· 4,179 Views · 1 Like
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Build an MCP Server Using Go to Connect AI Agents With Databases
Learn to build an MCP server using Go to connect AI agents with Azure Cosmos DB, enabling seamless database interactions with Go SDK and mcp-go tools.
April 29, 2025
· 3,171 Views · 3 Likes
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Building Event-Driven Go Applications With Azure Cosmos DB and Azure Functions
Learn how to build serverless Azure Functions with Go, using Cosmos DB triggers and Azure OpenAI for generating embeddings in this step-by-step guide.
April 28, 2025
· 2,631 Views
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Simplifying Vector Embeddings With Go, Cosmos DB, and OpenAI
Learn how to build a Go web app to generate, store, and query vector embeddings using Azure Cosmos DB and OpenAI, with step-by-step guidance.
April 21, 2025
· 3,353 Views · 2 Likes
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Chat History for AI Applications With Azure Cosmos DB Go SDK
Build a chat history implementation with Azure Cosmos DB for NoSQL Go SDK and LangChainGo, enhancing LLM context and enabling efficient testing with Testcontainers.
March 12, 2025
· 3,386 Views · 3 Likes
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Use Azure Cosmos DB as a Docker Container in CI/CD Pipelines
Azure Cosmos DB Emulator simplifies local development by enabling testing without Azure costs. This example uses it as a service container for CI workflows.
February 24, 2025
· 4,007 Views · 1 Like
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Get Started With Vector Search in Azure Cosmos DB
Learn how to enable and use vector search in Azure Cosmos DB for NoSQL with a step-by-step guide in Python, TypeScript, .NET, and Java using a movie dataset.
January 27, 2025
· 4,077 Views · 2 Likes
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Using AI in Your IDE To Work With Open-Source Code Bases
In this article, learn how we can add enhancements to the langchaingo project with Amazon Q Developer support in VS Code.
September 28, 2024
· 3,696 Views · 3 Likes
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Use Mistral AI to Build Generative AI Applications With Go
Let's walk through how to use these Mistral AI models on Amazon Bedrock with Go, and in the process, also get a better understanding of its prompt tokens.
August 9, 2024
· 5,322 Views · 1 Like
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Real-Time Streaming Architectures: A Technical Deep Dive Into Kafka, Flink, and Pinot
While individual components like Kafka, Flink, and Pinot are very powerful, managing them at scale across cloud and on-premises deployments can be operationally complex.
July 28, 2024
· 8,146 Views · 4 Likes
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Use Guardrails for Safeguarding Generative AI Applications Built Using Custom or Third-Party Models
Learn how the ApplyGuardrail API can provide a flexible way to integrate Guardrails with your generative AI applications.
July 24, 2024
· 3,231 Views · 1 Like
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Use Guardrails To Prevent Hallucinations in Generative AI Applications
With a Contextual grounding check, you can prevent hallucinations by detecting irrelevant and ungrounded LLM responses. Learn more!
July 22, 2024
· 7,195 Views · 3 Likes
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Maintain Chat History in Generative AI Apps With Valkey
This article presents a walkthrough on how to use a chat history component with Valkey, an open-source alternative to Redis.
July 4, 2024
· 3,730 Views · 1 Like
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Use AWS Generative AI CDK Constructs To Speed up App Development
In this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application using multiple components.
July 1, 2024
· 6,413 Views · 1 Like
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Getting Started With Valkey Using JavaScript
I will walk through how to use Valkey for JavaScript applications using existing clients in Redis ecosystem as well as iovalkey (a friendly fork of ioredis).
June 18, 2024
· 9,624 Views · 2 Likes
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A Single API for All Your Conversational Generative AI Applications
Use the Converse API in Amazon Bedrock to create generative AI applications using a single API across multiple foundation models.
June 11, 2024
· 2,782 Views · 1 Like
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Add Flexibility to Your RAG Applications in Amazon Bedrock
Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you implement the entire RAG workflow from ingestion to retrieval and prompt augmentation.
June 5, 2024
· 3,534 Views · 1 Like
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Simplify RAG Application With MongoDB Atlas and Amazon Bedrock
In this article, learn how to integrate MongoDB Atlas as the vector store and set up the entire workflow for your RAG application.
May 30, 2024
· 3,218 Views · 1 Like
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Use Anthropic Claude 3 Models To Build Generative AI Applications With Go
Claude 3 models are multi-modal. In this article, let's explore how to use the Claude 3 models on Amazon Bedrock with Go.
May 14, 2024
· 2,253 Views · 1 Like
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Deploy an AWS Lambda Function Using Amazon Q
Amazon Q is a generative AI-powered assistant. No browser tabs were used to get this done (except when searching for funny pics for this blog).
May 7, 2024
· 1,970 Views · 1 Like
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Vector Databases for Generative AI Applications
This post details a recent talk from a session at GIDS 2024 and provides a deeper look into the fundamentals of vector databases for Generative AI applications.
May 6, 2024
· 2,412 Views · 2 Likes
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How To Use Retrieval Augmented Generation (RAG) for Go Applications
In this article, learn how to implement RAG (using LangChain and PostgreSQL) to improve the accuracy and relevance of LLM outputs.
April 29, 2024
· 2,921 Views · 2 Likes
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20 Days of DynamoDB
A DynamoDB tip per day keeps the …? Find out with these twenty DynamoDB quick tips and examples accompanied by code snippets.
February 13, 2024
· 3,374 Views · 4 Likes
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Run and Test DynamoDB Applications locally Using Docker and Testcontainers
Ensure seamless testing of your Go applications with the DynamoDB Local Testcontainers module. Debug and optimize your code efficiently.
February 7, 2024
· 4,386 Views · 1 Like
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Build a Serverless GenAI Solution With Lambda, DynamoDB, LangChain, and Amazon Bedrock
Explore how DynamoDB is used as the chat history backend along with AWS Lambda Web adapter for response streaming.
January 22, 2024
· 3,623 Views · 1 Like
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Build a Streamlit App With LangChain and Amazon Bedrock
In this article, learn how to use ElastiCache Serverless Redis for chat history, deploy to EKS, and manage permissions with EKS Pod Identity.
January 12, 2024
· 4,703 Views · 1 Like
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Using IAM Authentication for Redis on AWS
In this article, learn how to securely connect your Go applications to Amazon MemoryDB (or ElastiCache) for Redis using IAM.
December 7, 2023
· 5,920 Views · 2 Likes
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My Top Picks of Re:Invent 2023
AWS Re:Invent 2023 has wrapped up. In this article, review some of the top announcements from this event.
December 5, 2023
· 3,169 Views · 2 Likes
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Use Amazon Bedrock and LangChain To Build an Application To Chat With Web Pages
Deploy the Go web app with AWS CDK and start asking questions!
November 17, 2023
· 5,111 Views · 2 Likes

Refcards

Refcard #398

Open-Source Data Management Practices and Patterns

Open-Source Data Management Practices and Patterns

Refcard #171

MongoDB Essentials

MongoDB Essentials

Refcard #378

Apache Kafka Patterns and Anti-Patterns

Apache Kafka Patterns and Anti-Patterns

Refcard #216

Java Caching

Java Caching

Trend Reports

Trend Report

Kubernetes in the Enterprise

In 2014, Kubernetes' first commit was pushed to production. And 10 years later, it is now one of the most prolific open-source systems in the software development space. So what made Kubernetes so deeply entrenched within organizations' systems architectures? Its promise of scale, speed, and delivery, that is — and Kubernetes isn't going anywhere any time soon.DZone's fifth annual Kubernetes in the Enterprise Trend Report dives further into the nuances and evolving requirements for the now 10-year-old platform. Our original research explored topics like architectural evolutions in Kubernetes, emerging cloud security threats, advancements in Kubernetes monitoring and observability, the impact and influence of AI, and more, results from which are featured in the research findings.As we celebrate a decade of Kubernetes, we also look toward ushering in its future, discovering how developers and other Kubernetes practitioners are guiding the industry toward a new era. In the report, you'll find insights like these from several of our community experts; these practitioners guide essential discussions around mitigating the Kubernetes threat landscape, observability lessons learned from running Kubernetes, considerations for effective AI/ML Kubernetes deployments, and much more.

Kubernetes in the Enterprise

Trend Report

Database Systems

In 2024, the focus around databases is on their ability to scale and perform in modern data architectures. It's not just centered on distributed, cloud-centric data environments anymore, but rather on databases built and managed in a way that allows them to be used optimally in advanced applications. This modernization of database architectures allows for developers and organizations to be more flexible with their data. With the advancements in automation and the proliferation of artificial intelligence, the way data capabilities and databases are built, managed, and scaled has evolved at an exponential rate.This Trend Report explores database adoption and advancements, including how to leverage time series databases for analytics, why developers should use PostgreSQL, modern, real-time streaming architectures, database automation techniques for DevOps, how to take an AI-focused pivot within database systems practices, and more. The goal of this Trend Report is to equip developers and IT professionals with tried-and-true practices alongside forward-looking industry insights to allow them to modernize and future-proof their database architectures.

Database Systems

Trend Report

Database Systems

Every modern application and organization collects data. With that, there is a constant demand for database systems to expand, scale, and take on more responsibilities. Database architectures have become more complex, and as a result, there are more implementation choices. An effective database management system allows for quick access to database queries, and an organization can efficiently make informed decisions. So how does one effectively scale a database system and not sacrifice its quality?Our Database Systems Trend Report offers answers to this question by providing industry insights into database management selection and evaluation criteria. It also explores database management patterns for microservices, relational database migration strategies, time series compression algorithms and their applications, advice for the best data governing practices, and more. The goal of this report is to set up organizations for scaling success.

Database Systems

Comments

Sneak Peek into the JCache API (JSR 107)

Feb 23, 2015 · James Sugrue

Thanks for chiming in Andy. DataNucleus looks quite interesting - supports JPA 2.1 (a Java EE 7 standard). Seems like it plugs in an already existing implementation for JCache. Correct ?

Sneak Peek into the JCache API (JSR 107)

Feb 23, 2015 · James Sugrue

Thanks for chiming in Andy. DataNucleus looks quite interesting - supports JPA 2.1 (a Java EE 7 standard). Seems like it plugs in an already existing implementation for JCache. Correct ?

Sneak Peek into the JCache API (JSR 107)

Feb 23, 2015 · James Sugrue

Yes. Great to hear that. I am aware of it's beta version. Caught that from your Twitter feed actually http://bit.ly/1LAadtZ ;-)

Sneak Peek into the JCache API (JSR 107)

Feb 23, 2015 · James Sugrue

Yes. Great to hear that. I am aware of it's beta version. Caught that from your Twitter feed actually http://bit.ly/1LAadtZ ;-)

Do You Really Understand @WebService?

Feb 11, 2015 · James Sugrue

Thanks for reading Vivek !

You hit the nail on the head. This is in fact pretty basic. The good thing is that everything hinges on the basics and fundamentals :-) and investing in those areas will pay rich dividends.

Do You Really Understand @WebService?

Feb 11, 2015 · James Sugrue

Thanks for reading Vivek !

You hit the nail on the head. This is in fact pretty basic. The good thing is that everything hinges on the basics and fundamentals :-) and investing in those areas will pay rich dividends.

Do You Really Understand @WebService?

Feb 11, 2015 · James Sugrue

Thanks for reading Vivek ! :-)

You hit the nail on the head. This is in fact pretty basic. The good thing is that everything hinges on the basics and fundamentals :-) and investing in those areas will pay rich dividends.

Do You Really Understand @WebService?

Feb 11, 2015 · James Sugrue

Thanks for reading Vivek ! :-)

You hit the nail on the head. This is in fact pretty basic. The good thing is that everything hinges on the basics and fundamentals :-) and investing in those areas will pay rich dividends.

Do You Really Understand @WebService?

Feb 11, 2015 · James Sugrue

Thanks for reading Vivek ! :-)

You hit the nail on the head. This is in fact pretty basic. The good thing is that everything hinges on the basics and fundamentals :-) and investing in those areas will pay rich dividends.

Do You Really Understand @WebService?

Feb 11, 2015 · James Sugrue

Thanks for reading Vivek ! :-)

You hit the nail on the head. This is in fact pretty basic. The good thing is that everything hinges on the basics and fundamentals :-) and investing in those areas will pay rich dividends.

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