Application Architecture: Page

Rethink how you screen senior developers to produce better mentors

Traditional coding tests often miss the qualities that matter most in senior developers. Explore a hiring approach focused on code review, mentoring and practical problem solving.

By Eric Rocha • July 28, 2026

Zero-code Kubernetes observability with eBPF demo

OpenTelemetry eBPF Instrumentation provides zero-code observability for Kubernetes applications using kernel-level eBPF, then complements SDK instrumentation for deeper insights.

By Matt Grasberger • July 22, 2026

BellSoft takes on Dockerfile sprawl with Hardened Builder

BellSoft's Hardened Builder lets Paketo Buildpacks users build zero-CVE container images on hardened base images, reducing security toil without changing application code.

By Ben Lutkevich • July 21, 2026

When should you adopt the forward-deployed model?

Explore the forward-deployed engineer role, its origins, core responsibilities and why the forward-deployed engineering model is becoming essential for AI deployments.

By Gerie Owen • July 21, 2026

Why OpenTelemetry matters to today’s dev teams

OpenTelemetry standardizes observability data across distributed systems, improving reliability, incident response and flexibility while reducing vendor lock-in.

By Damon Garn • July 16, 2026

Red Hat and IBM, Chainguard take on OSS security risk

Industry players are using a clearinghouse model to triage the AI-fueled surge in OSS vulnerabilities -- and, in some cases, act as maintainers of last resort.

By Ben Lutkevich • June 25, 2026

GitHub Copilot desktop released amid reliability and pricing concerns

GitHub unveiled their "agent-native" tool one day after token-based billing went into effect. Devs are weighing the costs.

By Ben Lutkevich • June 17, 2026

My experience rejuvenating CI/CD infrastructure with AI

AI assistants can help DevOps teams modernize legacy Jenkins environments faster by auditing pipelines, surfacing risks and guiding migration planning.

By Stuart Burns • June 10, 2026

A legal minefield: Open source licensing for AI models

AI models differ from traditional software. Learn how new licensing frameworks aim to standardize what "open" means in AI, including the Linux Foundation's OpenMDW 1.1.

By Sean Kerner • June 9, 2026

Harness engineering: Agent harnesses as critical infrastructure

Harness engineering gives enterprises a framework to operationalize agentic AI with orchestration, memory, guardrails and runtime observability.

By Kerry Doyle • May 29, 2026

Who owns AI’s decisions? Reengineering AI governance

AI leaders say governance must evolve beyond compliance checklists toward trust, observability and clear decision ownership in agentic systems.

By Ben Lutkevich • May 26, 2026

Multi-agent architectures: How coordinated AI systems scale

Enterprise teams are moving from ad hoc coding agents to coordinated multi-agent systems with standardized skills, orchestration and real runtime validation.

By Twain Taylor • May 19, 2026

IBM Think: AI transformation aims to shrink process, lift people

Executives at IBM Think want to use AI to remove friction for their people in the mid-to-long term, but understand significant change is necessary to get there.

By Ben Lutkevich • May 13, 2026

From perceptron to Concert: The operations data model at IBM Think ‘26

IBM positions Concert as a graph-driven operations platform that combines observability, policy, risk and AI agents into a shared enterprise context layer.

By Torsten Volk • May 12, 2026

The key to aligning technology initiatives with business goals

STAREAST presenters outlined frameworks for aligning QA, AI and IT initiatives with business value through shared metrics tied to cost, risk and outcomes.

By Gerie Owen • May 11, 2026

The case for Kubernetes

Manual provisioning and legacy tooling struggle at scale. Kubernetes adds self-healing, autoscaling and unified observability to reduce downtime and operational risk.

By Wisdom Ekpotu • April 30, 2026

Quarkus Dev Services: Zero-config development

Quarkus Dev Services streamlines microservice development by automatically provisioning infrastructure like PostgreSQL, Kafka and Redis with zero config.

By A N M Bazlur Rahman • April 28, 2026

Modern software quality metrics that matter

Overloaded dashboards obscure software performance. Focus on deployment health, test velocity and defect escape rate to align metrics with reliability, speed and customer impact.

By Damon Garn • April 28, 2026

From chaos to control: Multi-cloud development strategies

Multi-cloud environments often create fragmentation and risk. A platform-centric model with automation and visibility helps IT teams simplify operations.

By Damon Garn • April 23, 2026

SUSECON 2026: The push to operationalize AI

At SUSECON 2026, SUSE outlined a sovereignty-driven strategy for AI and infrastructure, pairing agentic operations with partnerships spanning NVIDIA, Switch and Cloudbase.

By Torsten Volk • April 22, 2026

What seeing AI as normal technology means for IT leaders

Viewing AI as a "normal" technology enables IT leaders to apply proven governance, integration and risk strategies. It removes the hype to drive real business outcomes.

By Ariella Brown • April 22, 2026

Comparing DevOps vs. Agile vs. Waterfall methodologies

DevOps, Agile and Waterfall offer distinct approaches to software delivery, varying in speed, flexibility, risk management and suitability based on project needs and goals.

By Brien Posey • April 21, 2026

Treat open source software as critical infrastructure

Open source underpins enterprise systems, but weak funding and maintainer strain threaten stability. IT leaders must assess project health, not just security, to reduce risk.

By Twain Taylor • April 20, 2026

AI agents’ role in IT infrastructure is expanding

AI agents are moving from passive monitoring to active operators, handling incidents, optimizing infrastructure and forcing teams to redesign platforms for autonomous workflows.

By Twain Taylor • April 13, 2026

Pipeline as Code: Managing CI/CD complexity and sprawl

Pipeline as Code enhances CI/CD with automation and consistency but adds complexity. Explore benefits, risks and tools to improve visibility, security and reliability.

By Kerry Doyle • April 13, 2026