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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

The Future of Cloud Data & AI/ML with Google's Engineering Lead

Explore the future of AI and data analytics with Google Engineering Lead Samarth Shah. From Lakehouse architectures to Tiny Models at the edge, Samarth breaks down the key trends shaping cloud-native analytics. Gain insights into augmented analytics, data governance, and real-time intelligence in this forward-looking session from Civo Navigate San Francisco 2025.

Unlock Cheaper & Faster AI Testing: Mocking Claude and MCP

Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code iteration, testing, and deployment. As new solutions, such as MCP (Model Context Protocol), are created to make integration more seamless, enterprises are adopting these AI solutions to optimize their development processes, a familiar challenge repeatedly arises: cost.
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How to Configure OpenTelemetry as an Agent with the Carbon Exporter

If you're already using OpenTelemetry for tracing and logs, adding otelcol-contrib as an agent for system metrics just makes sense. It keeps everything in the same pipeline, so you're not juggling multiple monitoring tools or dealing with inconsistent data formats. Plus, with built-in support for host metrics, custom processing, and direct exports to Graphite, it's a solid way to ship performance data without extra overhead. In this article, we'll detail how to install the OpenTelemetry Collector Contrib distribution, and configure it to export system performance metrics to a Graphite datasource.

CloudTrail Pricing Guide: Save On AWS Logging

Logging and auditing activity across your AWS environment is a must for security, governance, and compliance. Yet, between management events, data events, and optional insights, it’s easy to overspend on tracking activity without realizing it. In this guide, we’ll break down CloudTrail pricing in plain terms and see what impacts your final bill. We’ll also share immediately actionable ways to keep your CloudTrail costs in check without sacrificing full observability.

Why are AI Agents Superior to LLM #speedscale #apitesting #mocks #ai #agents #llm #developers

Matt LeRay explains the key difference: AI agents can perform multi-step processes to solve complex software tasks, unlike simple LLMs that mainly answer questions. Discover how agents go beyond chat to: What are your thoughts on AI agents in software development? Let us know in the comments below!

Optimizing IoT and edge with Ubuntu: secure, simplify, scale

From IoT to edge computing, Ubuntu helps you secure, simplify, and scale device deployments with confidence. In this session, Gabriel Aguiar Noury (Product Manager) and Tabish Khan (Sales Director IoT) from Canonical explore how Ubuntu streamlines the deployment, management, and maintenance of embedded systems, without compromising on reliability or security. Whether you’re building next-gen hardware or optimizing existing infrastructure, this talk offers practical insights and tools to help you succeed.

The Cloud Has Made Us Reckless! It's Time to Reclaim Control

Tim Banks takes the stage at Civo Navigate San Francisco 2025 to explore the unintended consequences of cloud adoption. From runaway AWS bills to vendor lock-in and lost operational skills, Tim offers a thought-provoking look at how convenience in the cloud has come at a cost to resilience, privacy, and sustainability.

Everything You Need to Know About OpenTelemetry Histograms

Modern systems throw off a lot of data—metrics, traces, logs—sometimes more than we know what to do with. When you're trying to understand how values spread out over time (like response times, memory usage, or queue lengths), averages alone don’t tell the full story. OpenTelemetry histograms help fill in those gaps. This guide walks through what they are, why they matter, and how DevOps engineers can use them to improve observability in real systems.

Correlation ID vs Trace ID: Understanding the Key Differences

You’re staring at logs, trying to figure out what caused that odd error in the middle of the night. Or maybe you're following a chain of requests across services, hoping to understand how one user action triggered a series of unexpected behaviors. That’s where distributed tracing and request tracking—specifically, correlation IDs and trace IDs—are invaluable. It’s the kind of detail that can make debugging faster and less painful.

Pager fatigue: Making the invisible work visible

As much as you try to prevent it, your product will break sometimes. While you hope it would have the decency to do so while you are awake and already working, sometimes the product is inconsiderate and decides to break outside your office hours. Being woken up from a page at 3 am sucks, and being woken up again two hours later (when you get pinged for a follow-up issue you missed the first time) sucks even more.