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metricfire

Heroku Monitoring Add-ons 2026 and Hosted Graphite

Jan 12, 2026 By MetricFire Blogger In MetricFire
Monitoring performance of Heroku applications helps improve user experience. This blog post covers Heroku monitoring add-ons and explores why Hosted Graphite is the best choice in 2026. We'll discuss the benefits and setup process of the Hosted Graphite add-on. We'll also discuss future trends in Heroku monitoring.
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harness

Applying Feature Flag Context To Your OpenTelemetry Spans | Harness Blog

Jan 12, 2026 By Austin Lai In Harness
Integrating feature flag context into OpenTelemetry traces enhances observability by recording flag states as span attributes, making it easier to analyze how specific flags influence application behavior. When you toggle a feature flag, you're changing the behavior of your application; sometimes, in subtle ways that are hard to detect through logs or metrics alone. By adding feature flag attributes directly to spans, you can make these changes observable at the trace level.
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metricfire

Easy Guide for Connecting Redis to a Grafana Data Source

Jan 12, 2026 By Benjamin Pitts In MetricFire
Redis is a widely used in-memory data store, commonly deployed as a cache, session store, message broker, or fast key-value database. Because Redis often sits on the critical path of an application, having visibility into its behavior (memory usage, client connections, command throughput, cache efficiency) is essential for troubleshooting and performance tuning.
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ribbon

Why Aging Networks Put Critical Infrastructure at Risk-and What It Means for Us

Jan 12, 2026 By Joni Roberts In Ribbon
Everywhere around us, technology is evolving at lightning speed, yet the networks which underpin these capabilities often lag behind. This gap creates vulnerabilities that can impact everything from energy grids to emergency services. Forbes recently explored this urgent issue in an article featuring insights from our CEO Bruce McClelland, who shared an informed perspective on why modernization is essential, not optional. I encourage you to take a few minutes to read the full article.
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cloudzero

How To Calculate Your OpenAI Cost Per API Call (And Why It Matters Now)

Jan 12, 2026 By Lyne Carolyne In CloudZero
OpenAI doesn’t bill per feature, per customer, or per transaction. It bills per token, across multiple models, with usage patterns that can change by the hour. As a result, two API calls that support the same feature can have very different costs. Without a clear way to translate token-level pricing into something product, engineering, and finance teams can reason about, AI spend becomes difficult to forecast and harder to control.
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cloudzero

Six FinOps Certifications And Courses To Set You Up For Success in 2026

Jan 12, 2026 By Sam Dindo In CloudZero
FinOps is evolving fast, and 2026 is shaping up to be a big year for specialization. While these certifications are ranked from beginner to advanced to help you build skills in the right order, one course stands out as the hottest recommendation right now: FinOps for AI. AI spend is accelerating, ownership is getting murky, and teams are scrambling to keep up. That urgency is exactly why FinOps for AI is generating so much interest heading into 2026.
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certkit

Should you still pay for SSL certificates?

Jan 12, 2026 By Todd H. Gardner In CertKit
There’s a particular flavor of skepticism that shows up whenever someone suggests using Let’s Encrypt. The security team crosses their arms. “Free certificates? For production? We’re a serious organization. We use Sectigo.” I get it. You’ve been buying certificates from the same vendors for twenty years. They send you invoices, you pay them, certificates appear. It feels responsible, and free feels like a trap. But is it?
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Supercharge your LLM Using Production Data Context

Jan 12, 2026 By Speedscale In Speedscale
Are your LLM coding agents (like Cursor or Claude Code) hallucinating fixes because they don't know what's actually happening in production? In this video, Matt from Speedscale shows you how to bridge the gap between your local IDE and live production traffic using the Model Context Protocol (MCP). Most observability tools just give you telemetry. Speedscale’s MCP server gives your agent the "inner workings" of actual API calls and payloads, so it can check its assumptions against reality. No more "vibe-coding" and hoping it works; let your agent find the 500 errors and rate limits for you.
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speedscale

Let Your LLM Debug Using Production Recordings

Jan 11, 2026 By Matthew LeRay In Speedscale
Modern LLM coding agents are great at reading code, but they still make assumptions. When something breaks in production, those assumptions can slow you down—especially when the real issue lives in live traffic, API responses, or database behavior. In this post, I’ll walk through how to connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions, and help you debug faster.
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Komodor

AI SRE in Practice: Resolving GPU Hardware Failures in Seconds

Jan 11, 2026 By Itiel Shwartz In Komodor
When a pod fails during a TensorFlow training job, the investigation usually starts with the obvious questions. The answers rarely come quickly, especially when the failure involves GPU hardware that most engineers don’t troubleshoot regularly. This scenario walks through an actual GPU hardware failure and shows how AI-augmented investigation changes both the time to resolution and the expertise required to handle it.
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