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

ExternalSoftware Engineering
DZone

Scaling Teams, Scaling Systems: Unlocking Developer Productivity With Platform Engineering

Modern software delivery is complex. Developers are responsible not only for writing code that meets business requirements — both functional and non-functional — but also for navigating a long chain of supporting steps. From containerization, testing, configuration, security, deployment, and monitoring, each stage often relies on specialized tools and teams. When these processes aren’t standardized, every project risks reinventing the wheel. The result is inconsistency, delays, and frustration.

ExternalTechnology Trends
TechCrunch Enterprise

Reflection inks $1B compute deal with Nebius

Reflection AI has signed a $1 billion deal to access Nebius' compute. Reflection was founded in 2024 and is developing open source AI technology.

AIEnterpriseAI compute deals
TechCrunch EnterpriseRead original
ExternalTechnology Trends
TechCrunch Enterprise

The real AI race may no longer be at the frontier

Hugging Face CEO Clem Delangue says enterprises increasingly want open models, due to cost, accessibility, and ownership. Do frontier models still matter if most production AI ends up running on open models?

AIEnterpriseClem Delangue
TechCrunch EnterpriseRead original
ExternalCybersecurity
BleepingComputer

You Don't Have to Run an Exploit to Know If You're Vulnerable

Many vulnerabilities cannot be safely validated with live exploits, either because no exploit exists or the affected systems are too critical to test. Picus explains how TTP chaining helps organizations determine exploitability by validating the attack techniques an exploit depends on, without launching the exploit itself. [...]

Security
BleepingComputerRead original
ExternalSoftware Engineering
DZone

AWS Glue ETL Design Principles for Production PySpark Pipelines

AWS Glue makes it easy to get a PySpark pipeline running quickly. It is significantly harder to build one that stays maintainable as logic grows, performs reliably at scale, and does not quietly accumulate operational debt over time. Most Glue pipelines start simple and become difficult to manage gradually — formulas get hardcoded, modules grow without boundaries, output files proliferate, and before long a single job is doing too many things in ways that are hard to test, hard to debug, and exp

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