AI agents turn one request into about 20. Kubernetes is evolving to handle it.
Welcome to another edition of Road to KubeCon, where we’re tracking interesting movements in the cloud-native and Kubernetes ecosystem as The…
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Where do you look when Kubernetes is healthy but requests stall?
In cloud-native operations, few scenarios are as maddening as the “phantom slowdown.” This happens when Grafana or Kubernetes dashboards…
Your database decision could come back to haunt you
When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, The post Your database decision…
Why 88% of AI pilots never make it to production
A joint IDC and Lenovo study reports that 88% of AI proof-of-concept (POC) projects fail to reach production because of unclear The post Why 88…
Kubernetes on cgroup v1 is dead. Here’s what comes next.
Welcome back to another edition of Road to KubeCon, where we’re tracking the latest movements in the cloud-native ecosystem as The post Kubern…
The API tax: Why AI agents stall without infrastructure context
Enterprises continue to face an autonomous cloud bottleneck that breaks autonomous operations and leads to failure. This architectural flaw leaves T…
What Kubernetes’ “monolith” lesson means for AI agent harnesses
Welcome to another edition of Road to KubeCon, your source for everything Kubernetes and cloud-native as we count down the The post What Kubernetes’…
AI agents speed up development — data access slows them down
Building the app was never the hard part. Now, with AI agents assisting with development, teams complete applications and internal The post AI agent…
What managing 150,000 AI agents could look like for database teams
The database administrator of the future will spend considerably less time administering databases. That sounds contradictory, but AI agents are The…
How confidential AI splits control between data and model owners — and opens new opportunities for both
Most people already understand what generative AI can do. But enterprises run into problems when they need to give a The post How confidential AI sp…
The software supply chain is the new battlefield. AI just changed the rules.
AI coding tools have seriously accelerated developer speed, but AI has also done the same for attackers — and the The post The software supply…
Kubernetes can run AI inference. But can it count the real cost?
Welcome to another edition of Road to KubeCon, where we’re tracking the Kubernetes and cloud-native ecosystem on the way into The post Kuberne…
Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent
What if engineers could spend their time building and optimizing systems rather than maintaining them? It’s 3 a.m., and the The post Agents op…
Kubernetes v1.37 brings 67 enhancements. Which matter for operators?
Welcome to the first edition of Road to KubeCon, where we’ll track the world of Kubernetes as we approach KubeCon The post Kubernetes v1.37 br…
47,000 job listings reveal the engineering roles that AI is creating
Every major transformation in tech has led to roles merging, then new ones emerging. Friction between developers and operations drove The post 47,00…
AI floods security teams with flaws — business context sets priorities
A security researcher testing a 300-person B2B company with a global footprint discovered an internet-exposed database with weak authentication duri…
How to find failures without drowning in tracing data
A metrics dashboard can tell you a system’s health with ease. A log can help you understand a discrete failure. The post How to find failures…
Observability has a data problem. AI is about to make it worse.
Observability is entering a new phase now that OpenTelemetry has standardized instrumentation for data collection. Unfortunately, the observability…
How telemetry pipelines keep AI agent costs under control
As enterprises move from experimenting with AI to running autonomous agents in production, an infrastructure problem is emerging: rising telemetry T…
Agentic AI has a latency problem that more compute won’t solve
Half of enterprise AI deployments are missing their own latency targets at peak load. This is the headline finding of The post Agentic AI has a late…
“Just rewrite it”: What platform teams really think about modernization
Mergers, acquisitions, and the steady churn of business and technology initiatives are creating something nobody asked for: Duplicate infrastructure…
AI agents can create database sprawl issues. YugabyteDB’s solution is more agents!
The next database scaling problem may not be how big a database gets, but how many databases an enterprise suddenly The post AI agents can create da…
DNS is infrastructure. It’s time to manage it that way.
Attackers aren’t always the reason for DNS failures — they can often be something much more routine. For example, the The post DNS is in…
When vendor-supplied support matters: How AI is changing the open source security equation
Every enterprise runs on open source, but keeping it secure has become significantly harder. Frontier AI models are uncovering vulnerabilities The p…
The rise of the agent runtime: The compute platform behind production agents
The fast pace of AI research means organizations now have a wide range of models to choose from that can The post The rise of the agent runtime: The…
Arm and Google offer a smarter option to run agentic AI workloads
As enterprise leaders start deploying agentic workflows, they must establish the infrastructure to build and run them, one capable of The post Arm a…
Agentic AI in observability: accelerating root cause analysis
The growing development, promise, and use of generative AI and agentic AI continue to drive dramatic change in the IT The post Agentic AI in observa…
Most enterprises will hand root cause analysis to AI agents within two years
For decades, software engineers have been the eyes and ears of enterprises, combing through voluminous logs, observability tools, consoles, browser…
Why most AI projects fail: It’s infrastructure and people
AI trash-talkers love to rip on the technology for failing to produce meaningful business results, often pointing to studies like The post Why most…
Agentic infrastructure operations begin with accurate, reliable infrastructure data
Organizations are racing to apply AI across the enterprise, and infrastructure is one of the most compelling targets: automated provisioning, The po…