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GitHub to Leverage User Code for AI Model Training, Allows Opt-Out
GitHub is preparing a significant change to how it trains the AI models behind its Copilot coding assistant. Beginning April 24, the Microsoft-owned platform will collect user interaction data by default to ...
Sysdig Adds Runtime to Secure AI Coding Agents
Sysdig this week at the RSA Conference (RSAC) revealed it has created a runtime that makes it possible to securely deploy artificial intelligence (AI) coding tools. Jonas Rosland, director of the open ...
Security as Code is Becoming the New Baseline: Continuous Compliance in DevOps
Muhammad Yawar Malik | | admission control Kubernetes, automated audit logs, CIS benchmarks automation, Cloud-native governance, continuous compliance, devsecops automation, DORA compliance DevOps, EU Cyber Resilience Act security, infrastructure as code security, platform engineering security, policy as code, Rego policy enforcement, Security as Code 2026, security feedback loops, SOC 2 continuous monitoringThere was a time when compliance meant a quarterly ritual. Someone from security would walk over with a spreadsheet, ask a few questions, tick a few boxes and disappear until the next audit cycle ...
Sophisticated Supply Chain Attack Targeting Trivy Expands to Checkmarx, LiteLLM
Jeff Burt | | AI (Artificial Intelligence), AI supply chain attacks, Aqua Security Trivy, Checkmarx, Cloud Security, credentials, exposed secrets, GitHub Actions, LiteLLM, microsoft, Palo Alto Networks, Sysdig, TeamPCPThe supply chain attack that compromised Aqua Security’s Trivy open source security vulnerability scanner and its associated GitHub Actions earlier this month continues to expand, with software development tools from Checkmarx and ...
Akuity Adds Ability to Customize Kargo Pipelines
Akuity this week at the KubeCon + CloudNativeCon Europe conference revealed it has added an ability to customize the steps used to promote applications into a production environment using a Kargo orchestration ...
The AIRE Gap: Why Organizations Are Buying AI SRE Tools They Aren’t Ready to Use
Akash Thakur | | agentic AI guardrails, AI incident response, AI Reliability Engineering 2026, AI SRE startups, AI-as-a-judge evaluation, AIRE maturity model, autonomous incident mitigation, blast radius AI failure, Braintrust LLM monitoring, hallucination rate monitoring, Incident.io AI, Langfuse observability, LLM SLOs, model drift SRE, non-deterministic system monitoring, prompt-completion correlation, Runbook Debt, semantic conventions OpenTelemetry, technical debt amplification, telemetry fragmentationAI Reliability Engineering (AIRE) is here, but is your organization ready? Discover why 80% of AI projects fail due to "Runbook Debt" and why traditional SLOs are meaningless for non-deterministic AI agents ...
Why Investing in DevOps Platforms Pays off for Businesses
Johnbosco Ejiofor | | cost of downtime 2026, Detutu Media DevOps, developer autonomy, DevOps platform market 2028, DevSecOps market valuation, DORA Report 2025 AI, GitOps reliability, golden paths DevOps, hybrid cloud adoption, IDP ROI, Internal Developer Platforms 2026, multi-cloud strategy 2024, Platform Engineering growth, platform governance cloud costs, policy as code, SBOM compliance, Segun Onibalusi, SLSA standards, trust paradox software, value stream managementExplore why 80% of organizations are adopting Internal Developer Platforms (IDPs) by 2026. From reducing setup time by 40% to mitigating $9,000-per-minute downtime costs, discover the undeniable ROI of platform engineering, "golden ...
Embedded DevOps: Bridging the Gap Between Firmware and Modern Delivery
Tom Hollowell | | 321Gang embedded, aerospace DevOps, automated traceability, automotive software-defined vehicles, binary artifact management, cross-compilation pipelines, Embedded DevOps 2026, firmware CI/CD, firmware integration risk, firmware regression testing, Hardware-in-the-Loop automation, HIL testing, medical device software compliance, OTA update security, real-time system validation, reproducible builds embedded, safety-critical software delivery, SBOM for embedded, static analysis automation, versioned SDKsEmbedded software development has traditionally followed a different rhythm than mainstream software engineering. Hardware availability drives schedules. Validation cycles are longer. Releases are deliberate. Documentation is extensive. For good reason, embedded systems ...
LocalStack Revamps CLI for Emulating AWS Cloud Services on Local Machines
LocalStack at the KubeCon + CloudNativeCon Europe conference this week unveiled a revamped command line interface (CLI), dubbed 1stk, for its framework that enables emulations of Amazon Web Services (AWS) environments to ...
Future Proofing the Foundation for AI-Ready Security Operations
Last December, the International Telecommunication Union (ITU), the United Nations’ (UN) body for information and communication technologies, supported Open Cybersecurity Schema Framework (OCSF) for ratification as an international standard by June 2026. Standardization is ...
Are AI Agents the Future of DevOps Automation?
Vinay Pasilkar | | agentic AI 2026, AI agents in DevOps automation, AI development company, AI-driven incident management, AI-powered observability, AIOps vs DevOps 2026, autonomous DevOps workflows, DevOps automation with AI, DevSecOps AI governance, GenAI in DevOps, human-in-the-loop AI, infrastructure as code AI, intelligent CI/CD pipelines, ML in DevOps, MTTR reduction AI, platform engineering automation, predictive build failure, predictive deployment analytics, self-healing infrastructure, software delivery automationDevOps has changed fast in the last decade. Scripts became pipelines. Pipelines became platforms. Now, AI agents in DevOps automation are leading the next wave. Today’s cloud systems are complex. Teams manage containers, microservices and hybrid ...
AI Didn’t Break Your DevOps Pipeline, Your Process was Already Rotten
Alexander Williams | | 2026 tech trends, AI DevOps failures, AI incident response, AI-driven rollbacks, automated decision-making risks, automated pipeline decay, CI/CD judgment automation, DevOps cultural debt, DevOps ownership gaps, machine-speed operations, observability discipline, on-call burnout, operational friction, proactive observability, process debt, Signal-to-Noise Ratio, software delivery performance, software reliability, technical debt amplification, telemetry driftAI isn’t breaking your DevOps pipeline; it’s exposing the flaws you’ve ignored for years. Learn how automated decision-making accelerates process decay, amplifies noisy signals, and reveals the ownership gaps that human intuition ...
