Operations | Monitoring | ITSM | DevOps | Cloud

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What Do You Use for AI Agent Infrastructure? The Complete Guide to Building Production-Ready Agent Systems

The question "what do you use for AI agent infrastructure?" has become one of the most searched queries in the DevOps and platform engineering space. And for good reason: the global AI agent market is projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, representing a compound annual growth rate of nearly 45%. With 85% of enterprises expected to implement AI agents by the end of 2025, getting the infrastructure right has never been more critical.
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3 Ways to Break Down SaaS Data Silos

Access to data is critical for SaaS companies to understand the state of their applications, and how that state affects customer experience. However, most companies use multiple applications, all of which generate their own independent data. This leads to data silos, or a group of raw data that is accessible to one stakeholder or department and not another. Data silos also prevent information from different sources from being blended together to gain a more accurate picture of what's happening in your application.

New Relic vs Splunk - In-depth Comparison [2026]

New Relic and Splunk are two prominent tools in the world of observability and monitoring, each serving distinct purposes. New Relic is used for Application Performance Monitoring (APM), offering a full-stack observability platform. It is important to note that New Relic is not a SIEM tool, its primary focus is performance monitoring. On the other hand, Splunk is used for log management, machine data analytics, and is widely utilized as a SIEM tool.

Why Integrated HR Technology is the Backbone of Modern Workforce Operations

In today's fastmoving business landscape, organizations face unprecedented operational challenges. From onboarding new talent to managing payroll and navigating complex compliance requirements, the sheer volume of tasks that HR teams must handle can easily overwhelm even the most seasoned professionals. To operate effectively, many companies are turning to integrated HR technology as the foundation for workforce operations. At its core, this approach unifies disparate systems into a single platform, enabling operational efficiency, strategic insight, and a better employee experience.

AIEnhancer AI room design: See Your Space Clearly Before You Redesign

Most interior projects don't fail because of bad taste; they fail because people can't fully see the outcome early enough. A vague idea lingers, doubts creep in, and decisions stall. AIEnhancer was built to shorten that uncertain phase, turning ordinary room photos into convincing visual directions that help ideas settle into something concrete and usable.
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RISE with SAP Monitoring: Overcoming the 'Black Box' Challenge of monitoring Cloud ERP

Organizations transitioning from traditional on-premises SAP systems to Cloud ERP (formerly known as "RISE" and "GROW") have a new set of monitoring challenges. Unlike the familiar on-prem landscape, where IT teams enjoyed full visibility and control, cloud environments can feel like a "black box," with limited direct access to the underlying infrastructure and reliance on service tickets to understand system status.

Top 15 Application Performance Metrics for Developers and SREs in 2026

Every application tells a story of user intent, system behavior, and business impact. To truly understand how your application performs, you need to go beyond logs and errors. You need metrics that provide actionable visibility across your stack. Application performance metrics are the foundation for delivering high-quality digital experiences, and they empower DevOps teams, developers, engineers, and site reliability engineers (SREs) to respond faster, scale smarter, and continuously improve.

How Agentic AI is Redefining Network Operations

For much of the past decade, many of the most ambitious ideas in artificial intelligence lived primarily in research papers, labs, and long-term roadmaps. Agentic AI was no exception. The concept of AI systems capable of reasoning, planning, and acting autonomously was widely discussed but largely theoretical. But earlier this month, Gartner released its report The Future of NetOps Is Agentic, reflecting a growing consensus that this has changed. What was once conceptual is now becoming operational.

Context engineering: The missing layer for trusted AI in financial services

Financial services AI demands more than models and prompts. Context engineering provides real-time, governed, and explainable intelligence with Elastic serving as the foundational context layer. Artificial intelligence in financial services is no longer constrained by model capability. The real bottleneck is context.

Track OpenAI Spend: Explain Where Your OpenAI Budget Goes

The inevitable happened. A while back, Gartner projected that in 2026, 30–50% of all new SaaS product features would use LLM inference. That meant OpenAI-style costs would become a standard part of SaaS COGS. Today, OpenAI has become one of the most operationally significant line items for SaaS companies. But for many teams, this creates an uncomfortable gap. Engineering sees OpenAI as a fast path to innovation.