Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• Rival buyout aids customers after DevSecOps firm shutters

  One DevSecOps company shut its doors. Just days later, the company was acquired, saving customers from a potentially difficult migration. Continue Reading

• 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

• What repos are trending on GitHub?

  GitHub Stars are a proxy for developer interest. Weekly GitHub star growth highlights fast-rising repos, giving early insight into adoption trends, risks and strategic opportunities. Continue Reading

• What is IT automation? A complete guide

  IT automation uses instructions to create clear, consistent and repeatable processes that replace an IT professional's manual work in data centers and cloud deployments. 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

• Why multi-cloud should be your default deployment model

  With a single-cloud strategy, organizations risk vendor lock-in, financial exposure and regulatory hurdles. A multi-cloud deployment model is essential for today's IT operations.Continue Reading

• How distributed computing drives revenue and resilience in cloud

  Now is the time to align infrastructure decisions with the speed and expectations of your customers. See how distributed computing can create value and what to expect.Continue Reading

• A look at HTTP's new QUERY method

  HTTP QUERY gives complex read operations a safe, idempotent alternative to GET and POST. Learn its benefits, use cases and enterprise adoption options.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

• Tips for the governance of AI-generated and synthetic data

  CIOs need a lifecycle policy for AI generated and synthetic data. Learn how to set lifecycle policies and manage the risks of this type of data.Continue Reading

• How autonomous infrastructure alters IT operations

  Autonomous infrastructure is not just implementing new technology; it completely redefines IT's role. Success depends on balancing speed, safety and accountability.Continue Reading

• Energy efficient storage architecture in the AI era

  AI has turned power into a bottleneck, making energy-efficient storage design and intelligent tiering central to cutting down on watts and freeing capacity for AI.Continue Reading

• Prompts vs. loops: Why prompt engineering won't build your AI workforce

  Execution loops move enterprise AI beyond prompt engineering, enabling agents to plan, act, verify results, recover from failures and deliver outcomes.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

• ITSM trends in 2026: Where to invest vs. where to wait

  ITSM in 2026 is shifting toward practical AI, FinOps, ESM and XLAs, with experts urging CIOs to prioritize investments based on data maturity and business goals.Continue Reading

• Understanding AI's resource needs and sustainability challenges

  Discover how AI's demands are affecting data centers' power and water resources, cooling challenges and the approaches being implemented to address these concerns.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

• Using power telemetry for data center capacity planning

  Power telemetry provides data center teams critical insights for efficient capacity planning, enabling better management of varying AI workload power demands in real-time.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

• Build, buy or rent: A framework for enterprise AI infrastructure

  AI infrastructure decisions hinge on utilization, workload maturity, data and timelines. Most enterprises will get the best results with a hybrid approach.Continue Reading

• SSD & memory price increases and what can you do about it

  Memory and SSD prices are rising to unprecedented levels due to AI infrastructure investments, forcing IT leaders to rethink upgrade strategies.Continue Reading

• Top legacy modernization tools of 2026

  Enterprises can modernize legacy systems faster with the right tools. Discover how to choose the right modernization tool for your project and evaluate the top options available.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

• 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

• A primer on modernization strategies for legacy systems

  Legacy systems are more than just a drag on efficiency or merely older programs; they are strategic inhibitors that prevent resilience, innovation and growth.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

• Building cyber-resilient storage beyond backup

  Traditional backup methods aren’t enough to deliver cyber resilience. High-performance storage architectures enable enterprises to rapidly recover and adapt from cyber events.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

• Air-gapped snapshots and storage resilience

  Air-gapped storage isolates backup data from networks, providing robust protection against cyberattacks and ransomware. But organizations must ensure it's instilled correctly.Continue Reading

• Data gravity and its role in data center efficiency

  Data gravity attracts applications to data locations, enhancing performance and reducing costs. This concept is vital for strategic workload placement in modern data centers.Continue Reading

• How do data processing units support enterprise storage?

  While only a handful of hardware vendors offer DPUs, the technology has significant implications for IT storage systems -- and the admins who manage them.Continue Reading

• How limited network visibility impedes digital transformation

  Digital transformation promises faster decision- making and greater UX. However, a lack of visibility into the network can hinder broad digital transformation goals.Continue Reading

• Top IT security challenges in modern infrastructures

  Modern IT infrastructures face growing security challenges from AI-powered attacks, cloud misconfigurations, insider risks and expanding attack surfaces.Continue Reading

• Lit fiber vs. dark fiber services explained for enterprise WANs

  Lit fiber and dark fiber each offer enterprises a distinct set of advantages and challenges. It's important that IT leaders carefully assess which deployment makes the most sense.Continue Reading

• 6 trends shaping IT automation in 2026 and beyond

  Enterprises are expanding their use of automation in IT, where AI is changing the landscape with trends such as agentic workflows, automated decision-making and AI-driven pipelines.Continue Reading

• Storage control planes: From manual to autonomous operations

  Storage control planes are evolving into intelligent, autonomous orchestration layers that manage provisioning, monitoring and policy enforcement across hybrid environments.Continue Reading

• Sneak Peek Q&A: Why AI governance breaks down in production -- and what comes next

  Discover how industry thought leader Varun Raj helps businesses maintain robust AI governance frameworks across the complete production environment lifecycle.Continue Reading

• How runbook automation reduces IT operational costs

  More than a simple efficiency initiative, runbook automation is a strategic priority that lowers operational costs and improves operational efficiency, resilience and scalability.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

• AC to DC power conversion: A challenge for AI data centers

  AC to DC power conversion inefficiencies cost AI data centers energy, heat and money. Here's what operators can do to address them.Continue Reading

• 7 highlights from Pure Accelerate 2026

  Fresh off a major rebranding, Everpure (formerly Pure Storage), rolled out a promising collection of new capabilities aimed at helping admins focus on adding business value.Continue Reading

• How much energy do data centers consume?

  High energy consumption continues to be an issue for data centers with the rise in AI use, but organizations are moving to energy-efficient systems to manage their power usage.Continue Reading

• How containers enable AIOps: What IT leaders need to know

  Containers help AIOps deliver faster issue detection, smarter automation and scalable IT management across complex hybrid environments.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

• Continuous innovation keeps tape relevant

  With each generation, tape gains density, stronger security and practical improvements to support long-term backup and archive strategies.Continue Reading

• A 4-step action plan to modernize legacy systems

  By assessing legacy systems and prioritizing modernization, enterprises can transform old infrastructure into a modern digital foundation that supports emerging technologies.Continue Reading

• Experts share 7 real-world FinOps mistakes to avoid

  FinOps promises cloud savings, but critical mistakes can cost millions. Uncover what experts wish they'd avoided -- from AI costs to cultural adoption -- before implementation.Continue Reading

• DASH 2026: Datadog goes from watching code to writing it

  Bits Code turns Datadog's telemetry into pull requests, which raises an important question: Who owns the code your monitoring vendor writes?Continue Reading

• Should you migrate, modernize to hybrid cloud or multi-cloud?

  Cloud migration and modernization are essential for survival. While hybrid and multi-cloud architectures present critical challenges, there are ways to overcome them.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

• Why policy-based automation matters for today's IT operations

  IT environments are more complex than ever, and traditional automation might not be enough. IT leaders should consider policy-based automation for operational consistency, governance and incident response.Continue Reading

• A primer on hyperscale data centers

  Hyperscale data centers can hold thousands of servers and process much more data than an enterprise facility. However, they can be difficult to build and maintain.Continue Reading

• Self-healing IT systems: Benefits, challenges and use cases

  Self-healing IT systems combine AI, automation and observability to reduce downtime, strengthen security and support scalable, resilient operations.Continue Reading

• AI operating models: Balancing autonomy and human oversight

  AI operating models in data centers define decision-making and risk management. Balancing machine autonomy and human control is crucial for efficiency and governance.Continue Reading

• Close cloud security gaps to secure AI workloads

  Is your cloud security strategy ready for AI workloads? Organizations must strengthen cloud security -- including data protection and IAM controls -- to safeguard AI.Continue Reading

• Top SAN products powering enterprise IT strategy

  Selecting the right SAN products is vital to enabling a modern data strategy that drives operational efficiency and enterprise ROI.Continue Reading

• Advantages and disadvantages of using a SAN

  SAN benefits include speed, scalability and fault tolerance, but the technology isn't without its drawbacks. Cost and complexity are big concerns for smaller organizations.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

• NAS vs. SAN vs. DAS: Key differences and best use cases

  Compare NAS, SAN and DAS and find out what to consider when using each type of storage system. Object storage and the cloud are additional available storage options.Continue Reading

• Fibre Channel vs. iSCSI: What are the differences?

  Discover how Fibre Channel and iSCSI compare when it comes to meeting SAN performance, ease of use, manageability, total package and TCO requirements.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

• Preparing for the vital but complex era of AI

  AI is becoming essential, but its complexity pushes businesses to modernize legacy systems, consolidate platforms and expand AI-driven automation.Continue Reading

• How to optimize networks for AI workloads in the cloud

  An AI investment could be leaking money through poor cloud networking. Discover how IT leaders cut costs, boost speed and gain a competitive advantage with strategic optimization.Continue Reading

• The benefits of tape vs. disk backup for enterprise storage

  Data growth forces companies to find the right backup media. Tape and disk are reliable options, but there are many factors to consider when choosing between -- or combining -- them.Continue Reading

• Comparing 7 storage network protocols

  Compare characteristics of common storage protocols, such as iSCSI, Fibre Channel, FCoE, NFS, SMB/CIFS, HTTP and NVMe-oF, to decide which one is best suited to your needs.Continue Reading

• The AI war IBM isn't fighting -- and the one it thinks it can win

  IBM wants to differentiate itself in the market by targeting enterprises with the most complex environments, such as those that are hybrid and in regulated industries.Continue Reading

• How AI innovation is driving network observability tool churn

  Network managers want more from their observability tools and are looking at agentic AI to give them the flexibility and oversight they need.Continue Reading

• IT automation benefits: A strategic guide for IT leaders

  IT automation is shifting toward AI-driven, agentic systems that improve efficiency, agility and security while introducing governance and risk challenges for enterprises.Continue Reading

• How IPv6 mandates influence enterprise network strategy

  Although aimed at government agencies, IPv6 mandates are pushing private enterprises to modernize networks to increased costs, security risks and collaboration barriers.Continue Reading

• Choosing an IT process automation platform for 2026

  Enterprises that depend on large-scale IT processes must be strategic about their automation tools. Explore nine platforms to determine the best one for your organization.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

• 10 insights on AI adoption in network operations

  A recent survey revealed 10 key insights on AI adoption in networking. Research shows network professionals currently use AI for automation, threat detection and optimization.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

• 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.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

• Tape's strategic role in modern data protection

  As the backup playbook gets rewritten, tape returns to quietly strengthen resilience, complementing the cloud and disk with dependable recovery and predictable long-term costs.Continue Reading

• Network built for champions keeps the Derby on track

  The Kentucky Derby is known for speed, and needs a network to keep the tech running as smoothly as the horses. Look behind the scenes at how Churchill Downs stays connected.Continue Reading

• Why hybrid cloud is becoming the default for AI

  AI workloads are reshaping cloud strategies. Hybrid cloud is no longer transitional -- it's a structural necessity for AI, driven by latency, governance and cost constraints.Continue Reading

• 3 essential network analytics use cases

  Network analytics enables teams to monitor performance, identify issues early and improve efficiency. These use cases illustrate how insights can address network challenges.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

• 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

• Is your compute strategy ready for AI workloads in the cloud?

  AI workloads require tailored compute strategies. Learn how hardware, cloud models and deployment choices affect performance, scalability and cost optimization.Continue Reading

• What is DevOps? Meaning, methodology and guide

  DevOps is a software development approach that brings development and IT operations teams together to deliver applications faster and more reliably.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

• 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.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

• 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.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

• How the network keeps pace with the Boston Marathon

  The Boston Marathon requires a high-connectivity, high-redundancy and high-resiliency network. Learn more about the network that keeps the marathon connected.Continue Reading

• AI is changing cloud operations, but not in the way orgs expect

  The defining question for organizations today is no longer whether AI can be deployed, but whether it can be operated reliably, safely and in alignment with business goals at scale.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

• The hidden costs of technical debt in infrastructure

  Technical debt is a strategic leadership issue rather than a budgeted maintenance concern. Orgs that actively manage technical debt innovate faster and reduce operational risk.Continue Reading

• Is your cloud storage ready for AI workloads?

  Cloud storage design directly impacts AI performance, scalability and cost. Learn how to choose the right storage types, optimize data pipelines and apply best practices.Continue Reading

• KubeCon EU 2026: Infrastructure catches up to AI

  AI is reshaping infrastructure demands. At KubeCon EU 2026, vendors focused on Kubernetes abstraction, GPU management and automation to move AI from pilot to production.Continue Reading

• 5 key network investments that deliver business results

  Network investments can significantly boost business performance and value. Modernization, security and automation can support effective digital transformation initiatives.Continue Reading

• State of the Cloud report shows shift from cost-cutting to value

  The CTO of Flexera shares his expert insights into the 2026 State of the Cloud Report’s findings and highlights a pivotal shift in enterprise priorities.Continue Reading