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• The case for hardened container images

  Hardened container images strip unnecessary components to reduce CVEs and attack surfaces. Compare vendor approaches, tradeoffs and migration practices. Continue Reading

• 3 ways dev teams use AI to improve software governance

  Nobl9, Anchore and Nirmata show how AI can support software governance using SLOs for reliability, SBOMs for security and policy as code for infrastructure. Continue Reading

• Streamline multi-cloud cost analysis with AWS Data Exports and FOCUS

  Uncontrolled costs drain budgets fast. AWS Data Exports and FOCUS reveal where your money goes, enabling precise analysis and optimizations for sustainable, cost-efficient growth. Continue Reading

• Why you need a dedicated design system team

  A dedicated design system team can create reusable components, improve collaboration and branding, and reduce development work, but adoption brings challenges. Continue Reading

• How AI workloads affect enterprise network design

  Distributed AI workloads reshape the architectures and strategies that enterprises traditionally relied on to plan network work capacity, manage congestion and support east-west traffic. Continue Reading

• Does Claude's watermark solve the AI transparency problem?

  Anthropic now watermarks text generated or processed by Claude. Here's how the hidden pattern works, its limitations and why the approach has drawn criticism.Continue Reading

• 5 reasons hardened images are seeing a resurgence

  Hardened container images reduce software supply chain risk by minimizing vulnerabilities, improving compliance, reducing toil and boosting performance.Continue Reading

• Understanding the network-as-software transformation

  Manual methods no longer cut it as enterprises adopt advanced architectural models. Instead, software-based approaches like NaaS and infrastructure as code are gaining traction.Continue Reading

• How to overcome Kubernetes cost management struggles

  Kubernetes doesn't track costs natively, and that oversight could be costing the business. Learn how to optimize spending before your budget spirals out of control.Continue Reading

• Automated testing is not a magic bullet

  Test automation rarely serves as a shortcut to faster testing. Its greatest value lies in improving software quality, expanding coverage and enabling testers to focus on high-value work.Continue Reading

• 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.Continue Reading

• Enterprises return to colocation: The appeal of shared facilities

  As AI needs rise and cloud costs escalate, organizations are reassessing colocation, adopting a balanced approach that prioritizes workload-specific strategies.Continue Reading

• 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.Continue Reading

• Preparing for the data center talent shortage

  Organizations are encountering a talent shortage in data centers as demand for AI-driven infrastructure grows. Explore insights on risks and workforce development strategies.Continue Reading

• 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.Continue Reading

• IT infrastructure security audit for enterprises

  Enterprise IT security audits assess infrastructure, access controls, cloud configurations and recovery readiness to reduce risk and support compliance.Continue Reading

• How intelligent network automation transforms enterprise operations

  Intelligent technologies that include predictive analytics and intent-based networking are reshaping how enterprises oversee their complex corporate networks.Continue Reading

• 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.Continue Reading

• Peloton's engineering team makes the case for test in production

  Peloton cut its performance environment and saved 40% on infrastructure costs without disruptions. How? Essential prerequisites and key metrics protect the user-facing environment.Continue Reading

• 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.Continue Reading

• How CIOs should govern AI-driven network operations

  AI transforms network operations through automation and predictive control, but requires strong governance frameworks to balance innovation with accountability and transparency.Continue Reading

• The benefits of using direct current power for data centers

  As AI workloads increase power demands, data center admins are looking at direct current systems to boost energy efficiency and simplify power distribution.Continue Reading

• 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.Continue Reading

• How to ensure business continuity in data center decommission

  Explore strategies for decommissioning data centers while ensuring business continuity, minimizing downtime and managing IT asset disposition responsibly.Continue Reading

• Scaling AI data center cooling for high-density servers

  As workloads increase, AI data centers face thermal challenges. Effective cooling strategies that combine air and liquid methods are essential for reliability and efficiency.Continue Reading

• 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.Continue Reading

• 3 energy-driven networking trends emerging in the AI era

  AI's growth is pushing data centers to their energy limits. Cisco's Energy Networking Systems is a three-pillar approach to manage power, cooling and costs in AI infrastructure.Continue Reading

• Monetizing modern data centers: Strategies for IT leaders

  Modern data centers are strategic assets that drive innovation, enabling AI, analytics and internal data products for business growth and operational efficiency.Continue Reading

• Harness engineering: Agent harnesses as critical infrastructure

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

• 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.Continue Reading

• Navigating energy management strategies in AI data centers

  Data centers face increasing energy demands driven by AI applications. This shift prompts a focus on energy management strategies, sustainability and innovative approaches.Continue Reading

• Microgrids: Transforming data center energy resilience

  As AI demands surge, data centers are turning to microgrids for resilience and cost efficiency, ensuring reliable energy amid rising risks and uncertain power supply.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 10 AI-driven network management tasks

  AI can automate key network operations tasks, such as anomaly detection, event correlation and ticketing. This shifts network engineers toward governance and system design.Continue Reading

• Zero trust in the IT ops stack: Securing hybrid workloads

  Zero trust replaces perimeter security with identity-based access, automation and continuous monitoring in hybrid and multi-cloud environments, boosting visibility and resilience.Continue Reading

• 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.Continue Reading

• Quarkus Dev Services: Zero-config development

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

• 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.Continue Reading

• 5 clues your network has shadow AI

  Shadow AI, or unauthorized AI tool use, poses risks like data exposure and compliance issues. Improved network visibility and monitoring are key to mitigating these challenges.Continue Reading

• 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.Continue Reading

• Network engineers must take the lead to push DDI to the cloud

  DDI can help network engineers break through the silos that separate cloud and on-premises network management. But engineers have to make sure IT executives understand why.Continue Reading

• 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.Continue Reading

• Balancing automation with human oversight in AI data centers

  AI enhances data center operations through automation but requires human governance to manage risks, ensure ethical use and maintain control over critical decisions.Continue Reading

• 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.Continue Reading

• AI capacity planning: Balancing flexibility, performance and risk

  AI is transforming capacity planning, introducing unpredictable demand patterns. IT leaders must adopt new models to optimize resources and manage operational risks effectively.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• Why legacy networks are a growing liability

  Legacy networks face limitations like security vulnerabilities and performance issues, leading to operational and business risks. Transitioning to modern infrastructure is crucial.Continue Reading

• DevOps metrics and KPIs you should track

  Effective DevOps KPIs connect delivery speed, reliability, efficiency and business outcomes. Focusing on meaningful metrics helps leaders drive decisions and continued improvement.Continue Reading

• Modern data center sustainability: 5 best practices to consider

  Sustainable data centers are needed as energy demands rise. CIOs should consider the following best practices to reduce costs, manage resources and minimize their carbon footprint.Continue Reading

• From core to edge: Strategies for scalable, compliant and agile IT

  Edge computing is revolutionizing data processing, allowing organizations to reduce latency and enhance real-time insights. Follow these strategies for effective adoption.Continue Reading

• Network security management challenges and best practices

  Threat actors are using increasingly sophisticated tools to make their attacks more costly. It's time for organizations to craft a comprehensive security management strategy.Continue Reading

• Decarbonizing data centers: Turning sustainability into strategy

  As energy costs rise and regulations tighten, IT leaders must focus on decarbonizing data centers and turning sustainability pressures into actionable strategies.Continue Reading

• Vibe coding is killing open source, increasing software risk

  AI-driven coding is adding maintenance debt to OSS projects, adding a new dimension of risk to software supply chains. Learn how the OSS ecosystem and the orgs that rely on it should adapt.Continue Reading

• Top 8 benefits of hybrid cloud for business

  Why choose between public cloud and private systems when you can have both? With hybrid cloud, enterprises can address workload requirements, business demands and budgetary needs.Continue Reading

• 12 ways to manage your data storage strategy

  Data storage systems were never easy to manage, and with spiraling capacities it's gotten even harder. Try these 12 techs and practices to help ease the storage management burden.Continue Reading

• How to use AI in storage management

  Organizations can use AI for storage management and AIOps to learn where to make improvements in their storage infrastructure, but note the benefits and drawbacks.Continue Reading

• How AI is changing Scrum workflows

  AI-assisted development is prompting Agile teams to rethink Scrum practices, shifting focus toward code validation, AI governance and new uses for key Scrum events.Continue Reading

• Key issues to address in storage infrastructure management

  Emerging technology, such as AI and software-based storage management systems, have simplified how IT manages its infrastructure. Explore the many components of modern management.Continue Reading

• Data center security compliance checklist

  Create a security compliance plan for the data center that includes various standards, audit schedules, and 2026 AI governance and sustainability reporting requirements.Continue Reading

• 10 data storage issues and how to overcome them

  Don't overlook or ignore these 10 data storage issues -- including those related to staff, security and cost -- as they could disrupt operations without the proper planning.Continue Reading

• Treat platform engineering as a competitive advantage

  Platform engineering standardizes how software is built and deployed through reusable services and automation, improving delivery speed, reliability and developer productivity.Continue Reading

• Managing unstructured data to boost performance, lower costs

  Is unmanaged, unstructured data clogging up your primary storage? Get control of this costly, performance-sapping situation and start managing unstructured data cost-effectively.Continue Reading

• How to optimize data storage governance

  Data governance manages the availability, usability, integrity and security of data. Follow these best practices for governance as it relates to data storage.Continue Reading

• 5 tips for building a resilient data center supply chain

  As digital reliance grows, CIOs must build resilient data center supply chain strategies into IT planning by evaluating vendor reliability and preparing for energy uncertainties.Continue Reading

• How to debug Java programs with CLI scripting

  Yes, you can have the ease of scripts and the structure of a static-typed language. Here's how to automate Java workflows using scripts, such as debugging Java code in the CLI.Continue Reading

• Magnetic tape backup eases storage cost and capacity concerns

  Data growth can strain already thin budgets. Today's LTO-10 tapes provide dense capacity at lower costs than cloud storage that meet your organization's backup and recovery goals.Continue Reading

• 3 reasons to treat accessibility as an investment, not a cost

  Building in accessibility can expand your audience, boost SEO rankings and reduce ADA legal risk -- saving money compared to costly retrofits later.Continue Reading

• Does your data center need a smart PDU?

  A smart PDU can help you monitor and manage power flow more efficiently than a traditional PDU. Here's what you should consider before deciding whether to adopt.Continue Reading

• Micro-cloud data centers: IT's new work front

  Edge IT, micro-cloud data centers, containerization and autonomous operations are spreading through enterprises. IT leaders must find new ways to deploy and maintain these assets.Continue Reading

• Challenges of implementing SaaS successfully

  Explore five complex SaaS implementation risks -- including data integration, customization, vendor lock-in and change management -- and how to mitigate them early.Continue Reading

• Privacy, compliance and governance are changing development

  Regulation now drives software architecture. See how privacy engineering, policy-as-code and region-aware cloud design turn compliance into a scalable advantage.Continue Reading

• How to optimize DNS for reliable business operations

  The internet would be different today without DNS anchoring digital communications. Companies can take some basic steps to ensure they can protect and maintain this vital protocol.Continue Reading

• How to plan and execute a SaaS implementation

  Learn how to plan and manage a SaaS implementation, including delivery models, requirements, data migration, testing, risk management and change readiness.Continue Reading

• Memory-safe languages: Pursuing secure, sustainable software

  Learn how memory-safe languages prevent vulnerabilities by enforcing safe memory use at design time, helping IT leaders modernize platforms and reduce risk.Continue Reading

• AI-driven self-healing networks bring new capabilities

  Self-healing networks use AI to continuously monitor, diagnose and fix issues autonomously, shifting IT from reactive troubleshooting to proactive management.Continue Reading

• 7 observability best practices to improve visibility, performance

  Observability enables organizations to analyze data on a continuous basis and act on it quickly. Learn best practices for implementing the practice.Continue Reading

• Smart data centers: Grid-friendly partners to power networks

  Smart data centers reduce costs and enhance grid stability, enabling operators to evolve from passive consumers to active partners in the energy ecosystem.Continue Reading

• Why network modernization is crucial for business continuity

  Network modernization is a business continuity imperative, reducing risks from legacy systems while boosting performance, security and operational resilience.Continue Reading

• Dynatrace bets on causal intelligence for AI observability

  At Perform 2026, Dynatrace unveils an agentic operations system that anchors probabilistic AI to deterministic truth. Learn how causal intelligence gives agents a reality check.Continue Reading

• 9 steps to implement an observability strategy

  As distributed software systems grow in scale and complexity, things like monitoring and debugging can become a tangled mess. Here are nine ways to bolster your observability plan.Continue Reading

• Considerations for a successful SaaS implementation

  SaaS is now central to most tech stacks. This article explains horizontal vs. vertical SaaS, outlines pros and cons, and offers guidance on choosing the right vendor.Continue Reading

• Software testing strategies in 2026

  When testing is stuck in a loop, use these 10 techniques to help teams rethink regression, test components in isolation and improve quality fast.Continue Reading

• Data quality gaps undermine the promise of agentic NetOps

  EMA's NetOps survey finds only 44% trust their network data for AI. Packet and config data create major risk, so teams must standardize, invest and audit.Continue Reading

• Choosing from a universe of SSD form factors

  There are a number of different types of SSD storage form factors to choose from. Learn more about each different type, along with their advantages.Continue Reading

• Minding the gap between prototype and production

  Five software releases targeting one problem: getting from "it works" to deployed.Continue Reading

• How to modernize software quality strategy in 2026

  Modernize software quality in 2026 by treating it as a business risk priority -- blending shift-left testing with shift-right observability for resilient, trusted delivery.Continue Reading

• Why SNMP remains relevant in enterprise network management

  The Simple Network Management Protocol is almost 40 years old. Despite its age, it remains essential today, ensuring efficient and reliable network management.Continue Reading

• The role of DHCP reviews for business continuity

  DHCP is vital for IP address allocation across networks, ensuring business continuity. Regular assessments mitigate risks, enhance resilience and prevent costly outages.Continue Reading

• Configure domain controllers after Server 2025 upgrade

  Windows Server 2025 has many new features, but how can you get the most from them? Use this tutorial to configure AD domain controllers and optimize your environment post-upgrade.Continue Reading

• AI's role in different software architecture contexts

  Generative AI is reshaping architecture by augmenting human judgment, accelerating understanding and expanding options across design, migration and maintenance -- when applied thoughtfully.Continue Reading

• 4 top data storage trends for 2026

  Data storage is currently being shaped by a number of ongoing and developing trends, including AI integrations, hybrid and multicloud storage strategies, cyber resilience and native cost governance.Continue Reading

• 8 network mapping tools to optimize IT infrastructure

  Network mapping tools are specialized software applications designed to represent the structure and connectivity of a computer network visually, helping teams monitor performance.Continue Reading

• How AI can support developer productivity

  While human oversight remains crucial and developers are far from handing over entire projects to AI, there are many ways in which the technology makes devs more productiveContinue Reading

• Software development in 2026: A hands-on look at AI agents

  The agentic workflows that software teams are transitioning to in 2026 are fundamentally changing the economics of writing, testing and releasing code.Continue Reading

• Top 11 IT governance best practices for 2026

  Modern IT governance aligns technology with business goals, manages risk, optimizes resources and uses frameworks like COBIT, ITIL and NIST to improve efficiency and compliance.Continue Reading

• Data center safety checklist: 10 best practices to follow

  Data center facilities pose various risks to those who operate them. Here are 10 best practices to follow when implementing data center safety.Continue Reading

• The pros and cons of using monorepos

  Developers rely on monorepos to consolidate their build processes. Learn how centralized tooling, configurations and scripts support development initiatives.Continue Reading