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DZone.com Feed Recent posts on DZone.com AWS Bedrock vs Vertex AI vs Azure Foundry: Stop Comparing Benchmarks, Start Asking This Instead 20 Aug 2026, 15:00 by Balaji Venkatasubramaniyar Every few weeks, someone on my team, or in a client meeting, asks me the same question: "Which cloud should we use for our AI workloads?" I have been building enterprise integrations for over fourteen years now, and lately most of my time goes into RAG pipelines, vector databases, and agentic orchestration on top of these platforms. So I get this question a lot, and honestly, there is no single right answer. The right cloud depends on where your data already lives, what your compliance team will accept, and which models your architecture actually needs. In this article, I want to walk through the three big players, AWS Bedrock, Google Vertex AI, and Microsoft Azure AI Foundry, and share what I have learned working with these platforms in real enterprise settings, not just from reading marketing pages. ‍ Prompt, Fine-Tune, or Compile: The Three Ways to Build Anything in AI 20 Aug 2026, 14:00 by Dhyey Mavani It started as a fleeting thought while I was heads-down building agentic AI systems: somewhere between "just call the API" and "let's train our own model," we've quietly ended up with three completely different ways to solve the same problem. Most teams treat that as a single decision, made once, early, and never revisited. It isn't. It's a portfolio you manage for the life of the product. ‍ How AI Is Actually Changing SRE Tools, Part 2: ITOps, Chaos Engineering, and the Rest of the Job 20 Aug 2026, 13:00 by Vidyasagar (Sarath Chandra) Machupalli FBCS In Part 1, I walked through how AI is changing incident response, from correlation engines like BigPanda and PagerDuty's AIOps features to a newer category of dedicated AI SRE agents like Traversal, Resolve.ai, and Cleric that investigate incidents autonomously instead of just clustering alerts you already collected. Incident response gets the spotlight because it's the loudest, most visible part of the job. But if you actually track where an SRE's week goes, a good chunk of it isn't firefighting at all. It's ITOps tickets, chaos testing, SLO math, on-call scheduling, and the slow grind of writing and maintaining runbooks nobody reads until 3 a.m. This second part covers where AI is showing up in all of that, with the same rule I applied in Part 1: vendor-reported numbers get flagged as vendor-reported, and I say plainly where adoption is still low regardless of how good the tooling has gotten. ‍ Why DAST Findings Are Hard to Fix and How to Make Them Actionable 20 Aug 2026, 12:00 by Philip Piletic Dynamic testing is essential because it uncovers vulnerabilities in running applications. But while SAST gets the attention because it’s shift-left and relatively straightforward to fix, DAST often gets stuck in the backlog.  Application security testing generally splits into two approaches. SAST (static analysis) scans source code before it ever runs, catching issues while a developer is still in the file, which is why fixes tend to happen fast. You're editing code you just wrote, with full context on what it does and why. DAST (dynamic analysis) works differently. It tests an application while it's running, sending real requests at live endpoints to see what breaks, the same way an attacker would probe it from outside.  ‍ ‍ You are receiving this email because you subscribed to this feed at blogtrottr.com. By using Blogtrottr, you agree to our terms. If you no longer wish to receive these emails, you can unsubscribe from this feed, edit this subscription, or manage all your subscriptions.