AI in SRE: Where and how Google is deploying agentic AI to improve operations
With SRE AI, Google plans to fully adopt AI and agentic technologies, leveraging AI as a force multiplier while also maintaining control.
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Top Tips: How to stop doing everything yourself and delegate to AI before you burn out
Top Tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re looking at which tasks you can delegate to AI. We've all struggled to delegate tasks. Whether you're a junior struggling to prioritize your tasks on a daily basis or a manager unsure of assigning responsibilities, you know how messy task delegation can get. Some people just improvise while others have a method to this madness.
8,000+ Services and counting: One place to monitor what matters
StatusGator now monitors more than 8,000 services now! From cloud platforms and AI tools to communication apps, payment providers, developer infrastructure, and business software, we continue expanding our monitoring coverage every day so teams can track everything that matters in one place.
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Clouds Without the Fog: Unified Control for Hybrid SAP
SAP customers with complex SAP know the challenges of managing multiple landscapes well. While classic tools like SAP Landscape Management (LaMa) and Focused Run served us well for years, they were built for a static, on-premises world. Now, with the 2027 end-of-support deadline for legacy solutions looming, the "fog" of hybrid management is getting thicker.
Federated Search | From Silos to Insight | Splunk Cloud with Apache Iceberg REST and AWS S3
This walk-through shows how Splunk Cloud can search AWS S3 data through an Apache Iceberg REST catalog backed by Nessie. Learn how Iceberg table metadata, S3 storage, and Splunk Federated Search work together so analysts can query historical security data where it lives without reingesting it into Splunk.
Underminr Proved Your DNS Filter Has a Blind Spot. Here's the Other Layer You Should Be Watching.
A new attack technique called Underminr was disclosed this week. It slips past protective DNS by abusing shared CDN edge IPs. The DNS query looks clean. The connection lands on malware. This post walks through what Underminr is, why protective DNS misses it, what actually stops it, and the OTHER DNS layer most teams forget to watch.
Unified observability for Alibaba Cloud with Datadog
Alibaba Cloud is a major cloud provider in APAC, offering industry-leading foundational AI models in addition to compute, managed databases, object storage, and Kubernetes through its Container Service for Kubernetes (ACK). Teams choose Alibaba Cloud for its infrastructure availability across Asia Pacific and its managed services. For SREs and platform engineers, that often means running Alibaba Cloud alongside AWS, Google Cloud, or Microsoft Azure.
Deploy Datadog Kubernetes Autoscaling at scale
Every Kubernetes environment accumulates waste over time. Teams overprovision CPU and memory requests to avoid performance risk, run idle replicas to preserve headroom, and leave Horizontal Pod Autoscalers (HPAs) untouched long after workload behavior has changed. Some of this waste can be addressed at the node level, where Datadog Cluster Autoscaling helps teams rightsize capacity.
Monitor Azure Managed Redis with Datadog
Azure Managed Redis is Microsoft’s fully managed, enterprise-tier in-memory data store. It is designed for the low-latency caching, session storage, and real-time data needs of modern applications, including AI workloads that depend on fast vector and embedding lookups. Because user-facing applications often query Redis directly, even small regressions in latency, hit rate, or memory pressure can degrade the user experience.
Monitor JavaScript framework routing with Datadog RUM
Modern web applications rely on frameworks like Next.js, Vue, and Angular to handle routing and rendering. In these architectures, navigation happens within the application rather than through full page loads, which makes it difficult for traditional browser instrumentation to capture what users actually experience. As a result, teams often see misleading view names, missing navigations, and errors that are either misattributed or not captured at all, especially during hydration or lazy loading.