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Curated links from external sources — not 360Softy original articles.

ExternalDatabase
AWS Database Blog

Building scalable applications on Amazon Aurora DSQL

In this post, we provide practical guidance for designing applications that scale effectively with the Amazon Aurora DSQL distributed architecture. You will learn how to identify common patterns that limit scalability, apply proven design patterns that distribute workload efficiently, and implement transaction strategies optimized for Aurora DSQL. We cover primary key selection, schema design principles, indexing strategies, and multi-Region optimization, while maintaining full ACID (atomicity,

Advanced (300)Amazon AuroraDSQL
AWS Database BlogRead original
ExternalCloud
Google Cloud Blog

Future-proofing data integrity: Quantum-safe digital signatures in Cloud KMS

With cryptographically relevant quantum computers (CRQC) on the horizon, transitioning to quantum-safe digital signatures is critical to safeguarding long-term data integrity and authenticity. Organizations are steadily recognizing this urgency.  For example, the U.S. government announced an update to the timelines by which departments and agencies must transition to quantum safe digital signatures. To help with the transition, we are announcing the general availability of our quantum-safe digit

Security & Identity
Google Cloud BlogRead original
ExternalSoftware Engineering
DZone

Building On-Call Agents That Learn Using LangChain Memory

Every on-call AI agent has the same dirty secret: it starts each incident completely blank. It doesn't remember that the payments service crashed last Tuesday for the same reason. It doesn't know your team always checks the database connection pool first. It doesn't recall that rollbacks on this service take 20 minutes, not 5. Humans build this knowledge over months of being paged at 2 a.m. Current agents throw it away at the end of every session.

ExternalDatabase
AWS Database Blog

Automated PII redaction for Amazon RDS for PostgreSQL audit logs

In this post, we show you how to deploy a serverless pipeline that creates an irreversibly redacted, queryable archive of Amazon RDS for PostgreSQL audit logs. The pipeline permanently removes Social Security numbers (SSNs), credit cards, email, names, and more than 30 types of personally identifiable information (PII) before storing clean logs in Amazon S3 for query through Amazon Athena.

Advanced (300)AWS LambdaRDS for PostgreSQL
AWS Database BlogRead original

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