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

What to expect from a database monitoring vendor: looking beyond the tool

Part 2: Key insights from a fireside chat with Chris Yates. Read part 1 here. Choosing a database monitoring vendor isn't just about features. Once you’re confident that it’s time to reassess your database monitoring strategy, the natural instinct is to start comparing products. However, it’s vital to know how to assess vendor relationships, support quality, and product innovation before you sign anything.

UK Cyber Essentials is Raising the Bar. Governance is How Teams Keep It There.

The April 2026 update to UK Cyber Essentials marks an important shift. Not because it introduces radically new security concepts, but because it removes tolerance for inconsistency. With the effective date quickly approaching, many UK organizations are focused on meeting the immediate requirements. That matters. But the more durable story is what these changes reveal about how security and compliance are now expected to operate in real world environments.

Test network paths with TCP, UDP, and ICMP in Datadog

When developers and SREs design application tests, they often prioritize user workflows and API availability. Extending that suite with network tests that match your app’s traffic protocols can reveal whether issues originate in the network or application layer. In this post, we’ll explore how you can design effective network tests using the Transmission Control Protocol (TCP), User Datagram Protocol (UDP), or Internet Control Message Protocol (ICMP), including.

Introducing Ubuntu 26.04 LTS | Resolute Raccoon

Ubuntu 26.04 LTS, codenamed, is now available to download. Resolute Raccoon builds on the resilience-focused improvements introduced in interim releases, with TPM-backed full-disk encryption, improved support for application permission prompting, Livepatch updates for Arm-based servers, and Rust-based utilities for enhanced memory safety. This release also brings native support for industry-leading AI/ML toolkits like NVIDIA CUDA and AMD ROCm, making Ubuntu 26.04 LTS the ideal platform for AI development and production workloads.

Why Mandating AI Tools Backfires on Engineering Teams

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

Rootly's Dan Sadler: why AI coding tools are driving more incidents + why reliability is the product

Cortex co-founder and CTO Ganesh Datta sits down with Dan Sadler, VP of Engineering at Rootly. Dan explains how Rootly treats reliability as a product feature rather than just a technical metric, and why culture might be the most impactful element of building reliable systems.

Professional Data Connectivity: Top Airtable ODBC Drivers for 2026

For businesses that need to bridge the gap between Airtable's cloud-based flexibility and the analytical power of tools like SQL Server, Power BI, or Excel, a professional ODBC (Open Database Connectivity) driver is a fundamental requirement. Selecting a high-performance driver ensures that your Airtable "bases" are treated like a traditional relational database, providing a structured SQL layer over your CRM and project data.

What Is LLM Observability? For CFOs And Engineers, The Missing Layer Is Cost

You probably have Datadog. Maybe New Relic, maybe Dynatrace. Your observability stack has been solid for years — and you're still flying blind on AI cost. Here's why LLM observability needs a fourth pillar most tools skip, and how to build one that actually tells you what your models are costing you per request, per feature, per customer.

Blind Tokenmaxxing Is The New Cloud Waste. Focus on Outcome-Maxxing Instead

Meta's internal token leaderboard sparked a frenzy — and a reckoning. Tokenmaxxing without attribution is just cloud waste 2.0. Companies like Hudl and Duolingo use cost intelligence to connect every AI dollar to a business outcome.