Create email alerts when your sensitive information is accessed, using AWS CloudTrail, CloudWatch, and SNS.

Observability tells you what your agent did, but not whether it was correct. This post walks through building dev-time and production evaluations for AI agents using DeepEval and Amazon Bedrock AgentCore Evaluations.

Learn how to integrate AI and ML in delivery app development to optimize routes, enhance customer experience, and boost efficiency. Discover expert tips from top AI development services.

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Learn how to choose the best mobile app development company in London, UK in 2026. Expert tips on UX, cost, platforms, and post-launch support.

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Completed the Level 2 Cloud (AWS) certificate with hands-on experience in EC2, S3, RDS, VPC networking, and Lambda, focusing on real-world AWS infrastructure tasks. This journey strengthened my troubleshooting skills and confidence in building and managing cloud environments. ☁️🚀

Considering AAPC Certification? Discover what this credential means for your medical coding and billing career, including benefits, requirements, and job prospects.

Forgot to turn off a promo feature in Amazon Quick Suite. Got hit with $530 in charges. AWS Support waived it all. Here's the full story.

Can I host a website on a 25 year old server running a CPU architecture almost no one supports?

A 3D chess game where adventurers clash with Skeleton Warriors, and an AI mentor powered by Amazon Nova teaches you to play — no jargon, just swords and strategy.

Publish Medium posts to DEV via RSS and use DEV API keys for automation reduce manual work, keep SEO clean, and distribute content smarter.

In modern cloud environments, security succeeds when it enforces clear guardrails without taking ownership away from application teams. This article explores why keeping humans in the loop, respecting responsibility boundaries, and building trust matters more than fixing problems quickly with automation.

Give every developer their own API key, set team-level budgets, and finally answer "who spent what on AI last month", all by putting a LiteLLM Gateway between Claude Code and Bedrock. This post covers gateway deployment options, virtual key management, budget enforcement, and client-side configuration.

Configure Claude Code to run on AWS Bedrock, keeping your code and prompts in your own AWS account with existing security controls and consolidated billing. By the end, you'll have Claude Code making requests to Bedrock instead of Anthropic's API.

Learn the key differences between business and residential internet, including speed, reliability, pricing, and which option is best for your home or business needs.

This post guides you to understand what you need to know about AWS before starting your first Developer job. It goes beyond the theoretical with focused guidance on your practical experience during the initial fazes of your new job. It answers questions like, what should you already know, what should you focus on first, and how do people actually work with AWS day to day.

How to move faster in the cloud without losing control, standards, or operational confidence

Three stages: foundational migration, operational velocity, and growth transformation. Key stakeholders include the Executive Sponsor, Data Owners, Technical Lead, and Data Squad. Databricks offers unification, open design, and embedded governance. Partners choose Databricks for efficiency and innovation. Addressing data and AI challenges now is crucial for competitive advantage. Databricks provides faster business impact with revenue growth, cost reduction, and risk mitigation.

Benefits of transparent governance in financial services, emphasizing a unified, explainable "Customer 360" view and precise interventions to prevent churn. How a unified platform unifies data, AI models, and dashboards, solving the "multiple versions of the truth" problem. Speed research-to-production cycles, enabling quantitative backtesting and real-time trading analytics. Implementation follows a phased approach, expected within 3-6 months for client retention and 4-9 months for AUM growth.

Execute leader focused on transforming data architecture fragmentation into a competitive engine, emphasizing growth through personalization.Defining specific targets for higher client retention and AUM growth, addressing operational risks from data fragmentation, and prioritizing client-facing activities with a unified data view. A case study highlighted a firm achieving $10M–$50M in annualized value through improved personalized investment advisory.

Benefits of transparent governance and its direct impact on client retention and AUM growth. How real-time data integration and AI-driven insights can enhance decision-making and reduce churn.Covered a phased implementation approach, unified data architecture and role of a Partner-Led Co-Delivery model. The urgency of addressing challenges was highlighted to avoid market share erosion and bottlenecks. The next step proposed was a 'Signal Discovery' session and ensure alignment with fiscal year targets.

Transparent governance enables proactively intervening in client churn by providing real-time, unified data access.Offer a tailored rebalancing strategy based on the client's portfolio performance, addressing market volatility. Reduces churn, enhances client trust, directly contributing to a 2% increase in client retention and a 5% growth in assets under management (AUM)., Platform accelerates research-to-production cycle, moving from idea to live strategy in minutes and improving decision quality at speed.

Execute leader expresses concerns about achieving targeted 2% higher client retention and 5% AUM growth. He's sceptical about how eliminating data fragmentation and accelerating decision velocity will directly translate into these business outcomes. Emphasizes a unified data architecture and transparent governance. Faster insights enable timely client interactions, enhancing satisfaction and retention. Data-driven insights allows for dynamic portfolio management, increasing trust and asset allocations.

Discover practical approaches for building autonomous AI agents by combining Amazon Aurora relational capabilities with ElastiCache's (Valkey) high-performance caching. This technical session provides data architecture guidance specifically designed for developers and architects implementing intelligent agent systems that require both persistent storage and ultra-fast data retrieval.