Operations | Monitoring | ITSM | DevOps | Cloud

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

The observability market has moved beyond manual threshold-setting. Modern platforms use statistical algorithms, machine learning, and causal AI to detect anomalies automatically. Some work immediately after deployment. Others train on your data for better accuracy. Each approach has technical trade-offs worth understanding. This guide compares how nine monitoring solutions handle automated anomaly detection and root cause analysis.

How to Fix Cyclic Inheritance Errors in Icinga Director during Object Configuration

Icinga Director is a powerful tool that greatly simplifies the configuration, management, and deployment of monitoring objects in Icinga. It provides a user-friendly interface and automation features that make complex setups easier to maintain. Occasionally, though, you may unintentionally introduce a cyclic inheritance while configuring templates. A typical case occurs when a template imports another template that eventually imports the original one again.

New agents in the Dojo: Expanded Sumo Logic Dojo AI

Back in September, we unveiled Sumo Logic Dojo AI, our agentic AI platform built to power intelligent security operations and incident response. With that launch, we introduced Mobot, our conversational interface, as well as our first agents designed to help automate routine tasks, streamline investigations, and give security teams the freedom and ability to focus on analyzing the highest value security issues facing their organization. Today, we’re excited to share the latest additions to Dojo AI.

Get 97% faster feedback with Smarter Testing by CircleCI

Fast feedback is the foundation of software delivery at scale. Long build and test cycles break developer focus, turning simple changes into momentum-killing pauses. Studies show that recovering from these interruptions can take twenty minutes or longer. Multiply that by dozens of commits per day and context‑switching time quickly turns into days of lost productivity.

Design as Infrastructure

SaaS products that are built for engineers power critical workflows, yet their designs are often afterthoughts. SaaS products often assume that technical audiences will figure out their way through a complex experience, or just forgive them for the paper cuts on the way. A foundational design system can be perceived as a layer of polish rather than an infrastructure investment, especially in the early stages of a startup.

How Browser Monitoring Tools Enhance Application Reliability & User Experience

Modern web applications are increasingly complex, with dynamic content, single-page apps (SPAs), APIs, and third-party integrations. For businesses, ensuring application reliability and a seamless end-user experience is critical. Poor performance can lead to customer dissatisfaction, revenue loss, and reputational damage. This is where browser monitoring tools and browser performance monitoring come into play.

Data control with CivoStack Enterprise: Beyond the air-gap debate

When an organization talks about sovereignty it is usually about where its data lives, who can touch it and how it is protected. Adding air‑gap to the discussion often turns the conversation into a binary: either the system is completely cut off from the outside world or it isn’t. In practice the reality sits somewhere in between.

Monitoring Azure Metrics to Protect Uptime And Stop Threats Early

This is the fifth blog in our Azure Monitoring series, and we’re focusing on what’s most critical: keeping your environment secure and always available. Performance and cost mean nothing if your services go offline or your data is compromised. In this post, we’ll highlight the Azure metrics that help CloudOps teams detect threats early, build resilience into their stack, and stay ahead of outages before they impact users or compliance. Missed our earlier posts? Catch up.

Building AI Apps with AWS: From Foundation Models to Production-Grade Agents

In the last two years, generative AI has moved from "cool demo" to become an integral element of IT production. The research proves this trend: according to Fortune Business Insights, global spend on generative AI reached an estimated $67 billion in 2024. By 2032, this spending is expected to pass almost $1 trillion, with a compound annual growth rate of approximately 40%. Moreover, a McKinsey & Company survey finds that roughly two-thirds of companies have already integrated generative AI into their workflows, and 80% use it in its broad sense. This technological transformation, hence, poses a critical new question.

Ways to get more storage on your Mac?

Finding better ways to acquire storage on your Mac is a great idea, and at first it might sound rather difficult to achieve. But realistically, getting more storage on your Mac is actually not extremely difficult. It definitely has its issues, but generally, you will find plenty of methods to supplement your storage. Here are some tips.