97% JSON Pass, 20% Wrong Values The Structured Output Benchmark (SOB), published in April 2026, evaluated 21 frontier LLMs on schema-constrained extraction tasks. The result that should stop you from shipping: every model clears 97%+ on JSON Pass Rate, but Value Accuracy — whether the extracted values are actually correct …
DevOps Courses in Brazil: What Cloud Engineers Need to Know
Brazilian training options for DevOps practitioners range from full MBAs to vendor-specific certifications. This guide cuts through the noise to help cloud engineers choose the right path based on their stack and career stage.
AI Cloud in 2026: Six Categories Platform Teams Must Know
Inference Is Two-Thirds of AI Compute Deloitte’s 2026 TMT Predictions estimates inference accounts for roughly two-thirds of all AI compute this year, a structural shift that has fractured the cloud market into six distinct provider categories. NVIDIA’s Blackwell and GB200 architectures have flooded the market with new GPU options, and …
DRA Killed the GPU Device Plugin: K8s AI Scheduling in 2026
NVIDIA’s DRA Donation Ends GPU Blindness At KubeCon Europe 2026 in Amsterdam, NVIDIA killed the GPU device plugin model by donating its Dynamic Resource Allocation (DRA) driver for GPUs to the Cloud Native Computing Foundation. That single act retires the device plugin that has made Kubernetes treat your H100 identically …
Google TPU v8 Puts KV Cache on Silicon to Cut Inference Cost
Google Put KV Cache on Silicon Google’s TPU 8i triples on-chip SRAM to 384 MB and crams 288 GB of HBM onto a single chip — enough to host massive KV caches entirely in silicon, bypassing the memory wall that has bottlenecked LLM inference since the transformer era began. The …
Gartner Defined AI SRE, Google Never Did: The Governance Gap
Gartner Named It. Google Didn’t. Gartner published its first Market Guide for AI-powered site reliability engineering in January 2026. Google — the company that invented SRE — has not issued a category definition for AI SRE. Neither have Netflix, Meta, Uber, or LinkedIn. The category is being constructed by analysts …
Rate Limits Hit 60% of LLM Errors. Retries Amplify Damage
The Scale of the Problem In February 2026, nearly 60% of all LLM production errors tracked by Datadog were caused by rate limits — not model failures, not hallucinations, not context window overflows. Rate limits. HTTP 429s. By March that number dropped to 30%, but organizations still logged approximately 8.4 …
70% of Teams Run 3+ LLMs in Production. Nobody Knows How
OpenAI’s Market Share Dropped From 75% to 63% in One Year — And That’s the Least Interesting Part Datadog’s 2026 State of AI Engineering report, released in April 2026, analyzed LLM telemetry across more than a thousand production environments. The headline finding: 70% of organizations now run three or more …
AI SRE Agents Resolve 11.4% of Real Incidents. Vendors
In IBM Research’s ITBench benchmark, agents built on state-of-the-art models resolved just 11.4% of realistic Site Reliability Engineering scenarios — Kubernetes environments with injected faults, full observability data, and a ReAct-style agent wired to logs, traces, metrics, and a shell. That same class of agent landed 25.2% on security operations …
Claude Opus 4.7 Ships, Sonnet 4.8 Leak Raises Questions
Claude Opus 4.7 Ships, Sonnet 4.8 Leak Raises Questions On April 16, 2026, Anthropic released Claude Opus 4.7 (model ID: claude-opus-4-7) to general availability across its own API as well as Amazon Bedrock, Google Vertex AI, and Microsoft Foundry. The pricing held steady at $5 per million input tokens and …
DeepSeek Costs 1/30th of GPT-5.5. Thats Not an: all you need
DeepSeek Costs 1/30th of GPT-5.5. That’s Not an Anomaly. DeepSeek V4 Pro charges $0.435 per million input tokens and $0.87 per million output tokens. GPT-5.5 costs $5.00 input and $30.00 output. Claude Opus 4.7 costs $5.00 input and $25.00 output. That’s 11.5x cheaper on input and 34.5x cheaper on output …
DevOps Days Brasil: What Cloud Engineers Need to Know
DevOps Days Brasil has become the main technical gathering for platform engineers and SREs operating at scale in the Brazilian market. Here is what to expect and why it matters for cloud practitioners.