Operations | Monitoring | ITSM | DevOps | Cloud

Federal agencies need observability that doesn’t create new compliance problems. Today, that’s possible. LogicMonitor Envision is now FedRAMP Moderate Authorized with a formal Authorization to Operate (ATO). That means unified, AI-powered visibility across your hybrid infrastructure—on-prem, AWS GovCloud, Azure Government, and edge—without starting your security review from scratch.

You're sampling 1% of traces in production. A payment request fails at 3 AM. Logs show an error in order-service, but the full picture isn't there because different services made different sampling decisions. order-service kept the trace; payment-service didn't. So you end up checking logs and timestamps across a few services to piece things together. This happens because the usual probability sampling approach makes a separate choice at each service boundary.

Today, organizations looking to build AI products and services using large language models (LLMs), agentic AI, and generative AI often start by investing in artificial intelligence as a service (AIaaS), also known as cloud AI. AIaaS provides a scalable, flexible, and cost-effective way for businesses of all sizes to access advanced AI technologies without the need for extensive in-house expertise or infrastructure.

An email server gets blacklisted when it's identified as a potential source of spam, malware, or suspicious activity. Blacklists use automated systems and user reports to flag servers that violate mailing or security standards. Once listed, legitimate messages may bounce, land in spam folders, or never reach recipients at all. Understanding why this happens is essential to prevent future listings and protect the sender's reputation.

AI in networking isn’t theoretical anymore. It’s here, reshaping how we operate. At the ONUG AI Networking Summit, we saw firsthand how agent systems are moving from hype to hands-on reality, from secure automation to data-driven root cause analysis. The future of NetOps isn’t dashboards and tickets — it’s intelligent agents, observability, and measurable business outcomes.

In part one of this series, we learned how to implement batch updates and advanced inserts in Ecto to dramatically improve database performance. But implementing these optimizations is only the first step. Ensuring they continue to work effectively in production requires professional monitoring and observability. This guide will show you how to use AppSignal for Elixir to monitor your Ecto application's performance when dealing with batch data operations.

As a technology leader at Elastic, my team is responsible for building AI experiences on a centralized architecture to enable our sales and customer support teams to scale their impact and take advantage of AI faster.

Recently, crowdfunding giant GoFundMe made headlines after (among other things) automatically generating some 1.4 million donation pages for U.S. 501(c)(3) nonprofit organisations. These pages were created without prior consent, using publicly available IRS data and partner-feeds. According to reports, many nonprofits discovered these pages only when alerted by a donor or curious patron; they had no advance knowledge and had to manually un-publish or “claim” the page.