Every story tagged Infrastructure Management, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
7 stories · open in the command center
PostgreSQL's architecture makes it uniquely vulnerable to Linux's Out-of-Memory (OOM) killer—when the kernel terminates a single backend process due to memory pressure, PostgreSQL's postmaster interprets this as potential shared memory corruption and terminates all database connections, causing full service outages rather than isolated failures. Implementing strict memory overcommit (vm.overcommit_memory=2) forces the kernel to reject memory allocations upfront rather than allowing overallocation, preventing catastrophic cascading failures and enabling graceful degradation. For IT organizations managing PostgreSQL infrastructure, this configuration is critical to achieving high availability and preventing unexpected full-database restarts during peak load periods.
SSH tunneling is a foundational, long-lived technology that enables secure access to internal services and databases across network boundaries with simple command-line tools, making it essential infrastructure knowledge for IT organizations managing hybrid and cloud environments. Understanding local and remote port forwarding techniques allows IT teams to safely expose internal resources, access private databases and APIs, and maintain secure bastion host architectures without additional tooling or cloud-native complexity. For CIOs, mastering SSH tunnel patterns represents a high-ROI investment in operational resilience, reducing dependency on rapidly-evolving platform tools while improving network security posture and reducing attack surface exposure.
Backrest is a web-based orchestration layer for restic backup that simplifies enterprise backup management through an intuitive UI, automated scheduling, and multi-storage backend support, reducing the operational complexity of backup infrastructure while maintaining restic's security and reliability. For IT organizations, this open-source solution enables centralized backup management across hybrid environments (on-premises, NAS, cloud) with minimal overhead—deployed as a single lightweight binary with Docker support. Strategic implications include reduced backup administration costs, improved disaster recovery capabilities, and flexibility to integrate with existing restic investments or migrate from legacy backup solutions.
Enterprise IT organizations face critical operational challenges due to fragmented management tools across networking, security, and infrastructure domains, which inhibit both human response times and AI automation effectiveness. Cisco Cloud Control addresses this by providing a unified operational foundation that gives both human operators and AI agents shared context, enabling coordinated decision-making through an AgenticOps framework where AI proposes actions and humans retain approval authority. For CIOs, this unified approach reduces management overhead, improves security visibility, and enables scalable AI-powered operations that move beyond siloed automation efforts to enterprise-wide intelligent operations.
This article describes Legacy Labs, a two-month summer exploration program focused on retro and legacy computing systems, designed to encourage deep technical learning outside traditional constraints. For IT leaders, this represents an emerging trend toward intentional technical skill development through hands-on experimentation with older systems—potentially signaling the value of dedicated learning time and diverse technology exposure for building well-rounded engineering teams. The initiative challenges the assumption that modern infrastructure mastery alone is sufficient, suggesting that understanding foundational system design principles and historical technical decisions can enhance current technical leadership and architectural thinking.
A major data center in Georgia consumed 30 million gallons of water undetected for months due to inadequate monitoring infrastructure and staffing, highlighting critical governance gaps as AI infrastructure rapidly expands into water-stressed regions. This incident exposes a systemic risk across the industry: 40% of data centers operate in water-stressed areas, and AI-associated water consumption is projected to double over 25 years, while many municipalities lack the modernized monitoring systems and resources to track usage or enforce accountability. IT leaders must recognize that uncontrolled resource consumption at scale creates both operational liability and reputational damage, requiring proactive collaboration with infrastructure providers on real-time monitoring, compliance mechanisms, and investment in smart metering systems.
Cognizant's $600M acquisition of Astreya signals the strategic importance of infrastructure management and AI operations capabilities for enterprise IT organizations, as managed service providers consolidate expertise in data center, AI lab, and network management to address the complexity of hybrid cloud and AI environments. This deal has significant implications for CIOs seeking integrated solutions for managing increasingly complex AI workloads and infrastructure, while also intensifying competition among IT service providers for dominance in the AI operations market. Organizations should evaluate whether their current managed service partnerships can adequately support their data center modernization and AI deployment initiatives.