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Making agentic token costs visible in production

In some organizations, high token counts have become a proxy for productivity. Some engineering teams are being pushed to max out context windows and wire in sprawling tool sets. More tokens can mean better agent reasoning and richer context during development, but token costs compound in production. Tokens accumulate across sessions, users, and tool calls in ways that are easy to overlook. Datadog’s 2026 State of AI Engineering report quantifies the scale of this problem.

The AI Software Engineering Revolution, feat. Anthropic | Big Tent S3E9

In this episode of Grafana's Big Tent, hosts Mat Ryer (Senior Director of AI, Grafana Labs) and Tom Wilkie (CTO, Grafana Labs) sit down with Eric Burns, Field Executive Architect at Anthropic, to talk about building trust between tech and business execs, why Anthropic bet early on running across every major cloud, and what it was like watching large language models go from "interesting" to "obviously the future" in real time.

How Upstash Monitors Every Redis Replica with Checkly

There's a support ticket every SRE dreads: "is something wrong with my database?" The outage is bad enough. Worse is the possibility that the customer knew first. At Upstash, we treat that scenario as two failures rather than one: the incident itself, and the uptime monitoring gap that let a customer beat us to it. We write a postmortem for the gap, too.

What Are The Different Payment Methods Available For EV Charger Systems?

Electric Vehicles are revolutionising transport. With the increasing shift away from traditional fuelled vehicles, the demand for efficient charging services has become more important than ever. Charging facilities have become a necessary service for private vehicle owners and public transport alike. While electric vehicle users are well aware of the challenges of charging stations, they also struggle to pay for them. Different charging stations have their own pricing and payment systems, and this sometimes can lead to confusion and frustration when charging.

Why Cash Flow Still Matters in an AI-Driven Economy

Artificial intelligence is changing how businesses operate. Companies are using AI tools to automate customer service, generate content, analyze data, improve forecasting, and streamline everyday tasks. For many business owners, the promise is simple: work faster, reduce costs, and improve efficiency.

AI writes code in seconds, but delivery still takes days

The pitch for AI coding was speed. Claude Code, Copilot, Cursor, whatever you’re running, they all generate business logic faster than you can review it. That part is real. But look at what happens after the code gets written and the numbers get ugly. CircleCI’s 2026 State of Software Delivery Report found AI drove a 59% increase in average throughput.

Claude Code Monitoring at Scale: Gateways and Routing With OpenTelemetry

Chelsea and I recently wrote a guide on how we monitor Claude Code usage internally with Bindplane. TLDR; We remotely manage a Bindplane Distribution of the OpenTelemetry Collector (BDOT) that runs on every engineer's laptop. This setup is great, but it has one downside. Sending to Google Cloud Monitoring, Swarmia, and any other destination directly from an engineer’s laptop is limited to local processing. You can’t get the benefit of centralized routing and processing on a gateway.

How to Trace Microservices WITHOUT OpenTelemetry

Learn how to trace complex multi-hop transactions across microservices when OpenTelemetry isn't available or trace parents get lost. This quick tutorial demonstrates how to use full-text search in proxymock (a free CLI and UI tool) to isolate user journeys (like looking up a specific username) and instantly generate waterfall tracing views. Whether you are working locally or in a Kubernetes cluster, you can record API traffic, visualize multi-hop requests, and easily transition those captures into load or regression tests.