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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

A Beginner's Guide to Memory-Driven Digital Systems

Memory-driven digital systems are changing the way people store, revisit, and emotionally connect with their past. They go beyond basic cloud storage or photo folders. These systems are designed to organize memories in a way that reflects personal history, identity, and relationships. For beginners, they offer a powerful way to preserve moments that shape who you are while making them easier to access and share.

What IT Teams Need to Know About Server Asset Recovery

Efficient IT asset management involves more than just acquiring and deploying servers. Every piece of equipment eventually reaches a point where it must be replaced or retired. Handling that phase properly is critical for security, compliance, and sustainability. Server asset recovery provides a structured approach to reclaiming value from retired systems while ensuring responsible disposal.

Top 10 Carbon Accounting Platforms That Operations Teams Are Adopting in 2026

Carbon accounting has shifted from voluntary initiative to operational imperative. With CSRD requirements taking shape in Europe, IFRS S1/S2 expanding globally, and California's climate disclosure laws coming into force, operations leaders are no longer asking whether to invest in carbon accounting software. They are asking which platform will actually deliver when auditors come knocking.

Actionable Network Device Monitoring with Automated Anomaly Detection and AI Troubleshooting

Network device monitoring is often a mess of polling, graphs, and alerts that don't lead to answers. In this webinar, we'll show how to monitor routers, switches, and firewalls in a way that quickly surfaces what matters: interface health, errors, drops, saturation, latency signals, and performance regressions—without drowning in noise. You'll learn how Netdata turns raw SNMP metrics into high-signal insights using automated anomaly detection and AI-assisted troubleshooting, so your team can move from 'something is wrong' to 'here's the root cause' faster.

Agentic IT operations, powered by BigPanda

BigPanda delivers the next evolution in AIOps solutions, featuring agentic automation for ITOps and ITSM teams, all in a single platform. Agentic IT operations from BigPanda keep the digital world running by transforming reactive, manual IT processes into proactive, intelligent automation. Our platform uses AI to detect, respond to, and prevent IT incidents at machine speed.

The 4 pillars of AI in 2026: Agents, cost, observability & sovereignty

AI is no longer just about "one-shot" prompts. In this session from our "From Idea to Agent" webinar, Ben Norris (AI Engineer at Civo) breaks down the four key priorities dominating the enterprise space in 2026. From the 130x explosion in token usage to the "vibe-coding" revolution, learn why businesses are turning away from US hyperscalers in favor of democratized, secure, and UK-sovereign AI infrastructure. We explore how autonomous agents are solving multi-step problems and why "Chain of Thought" reasoning is unlocking AI for heavily regulated industries like finance and healthcare.

Can We Still Trust the Code? #speedscale #qualityassurance #digitaltwin #trust #devops

The "Velocity Gap" is real. AI like Claude and GitHub Copilot are pumping out code faster than ever, but there’s a catch: Engineers don't trust it yet. We’re moving away from the old days of "clicking around" in a test environment, but how do we verify code at the speed of light? Ken breaks down why the future of QA isn't just "testing," it’s simulation. Video collab with @ScottMooreConsultingLLC Learn More: speedscale.com.

Gemini Cost Per API Call in 2026: What You'll Actually Pay (And How to Control It)

On paper, Gemini pricing looks straightforward. You pay per token. Input tokens cost one amount, output tokens cost another, and different models come with different rates. But once Gemini is wired into a production SaaS product, that simplicity disappears. Fast. That’s because token usage compounds across context, retrieval, and output — not across requests. The same “API call” can cost pennies in one feature and dollars in another.

API Monitoring: Metrics, Best Practices, Tools, and Setup Playbooks

Modern systems rarely fail in obvious ways. An API might slow down in one region, return subtly incorrect data after a : deploy, or degrade only under specific traffic patterns. By the time users report the issue, it has often already impacted reliability, revenue, or trust. This is why API monitoring has evolved from a simple uptime check into a core production discipline.