Grace Nalini, Author at ManageEngine Blog

Best Kubernetes monitoring tools compared in 2026: A buyer's guide for SRE, platform engineering, and ITOps teams

Grace Nalini — Thu, 24 Sep 2026 20:30:00 +0000

Monitoring Kubernetes in production is structurally different from monitoring traditional servers: pods are ephemeral, nodes autoscale, and the layered resource model—containers, pods, nodes, namespaces, deployments, services—creates an observability challenge that tools built for static infrastructure were never designed to handle. The correct...

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Fragmented Azure visibility? One Azure monitoring tool that tracks every layer

Grace Nalini — Wed, 23 Sep 2026 17:30:00 +0000

Most Azure monitoring setups look the same: Azure Monitor for metrics, Application Insights for apps, Log Analytics for logs, a separate tool for network, and another for cost. Each works in isolation. None of them talk to each other when something breaks.The Azure monitoring tool in ManageEngine OpManager Nexus consolidates infrastructure,...

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Azure Monitor pricing: What it really costs vs. alternatives in 2026

Grace Nalini — Tue, 08 Sep 2026 17:30:00 +0000

Microsoft Azure Monitor is the native monitoring platform for Azure environments. For teams already running workloads in Azure, it offers an obvious starting point: it's built in, deeply integrated, and parts of it are genuinely free.But "free to start" is not the same as "predictably priced at scale." As monitoring requirements grow—more logs...

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Best Azure monitoring tools: Compare the leading solutions

Grace Nalini — Mon, 17 Aug 2026 20:30:00 +0000

Microsoft Azure has become one of the most widely adopted cloud platforms for running business applications, databases, containers, analytics workloads, and enterprise services. Modern Azure environments now extend far beyond virtual machines, encompassing services such as Azure Kubernetes Service (AKS), Azure SQL Database, Azure Functions, storage...

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Why Huawei Cloud network monitoring misses the hardest faults

Grace Nalini — Wed, 22 Jul 2026 17:30:00 +0000

A latency spike appears in your Elastic Load Balance (ELB) listener metrics on CloudEye. Back-end server group health: All members healthy. VPC Flow Logs: Traffic accepted, no obvious drops. Thirty minutes later, you find a misconfigured security group rule blocking inter-subnet traffic on a single port. Your Huawei Cloud network monitoring setup...

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Why your Alibaba Cloud app slows down: Explaining the ECS, RDS, and OSS failure chain

Grace Nalini — Thu, 16 Jul 2026 22:30:00 +0000

If you run production workloads on Alibaba Cloud, three services sit at the center of most performance incidents: Elastic Compute Service (ECS) for compute, ApsaraDB RDS for databases, and Object Storage Service (OSS) for object storage. When something degrades, the immediate question is where the problem actually lives: In the instance, the...

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Alibaba Cloud monitoring: What changes when scale, speed, and cost collide

Grace Nalini — Mon, 15 Jun 2026 17:30:00 +0000

Alibaba Cloud monitoring isn't AWS or Azure monitoring with a different logo. The way its services scale, absorb load, and send early warning signals follows its own logic and if you're watching the wrong things, you'll find out too late.Cloud monitoring conversations often follow patterns set by AWS and Azure. The metrics are familiar, dashboards...

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Tencent Cloud: When systems start reacting to themselves

Grace Nalini — Thu, 11 Jun 2026 22:30:00 +0000

Distributed systems don't just fail. They adapt.Services in Tencent Cloud environments are tightly interconnected. Compute, load balancing, databases, and networking layers continuously respond to each other based on changing conditions.Under normal load, this coordination stays in the background. As pressure builds, the behavior shifts. The system...

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Common database performance monitoring pitfalls and how to avoid them

Grace Nalini — Wed, 19 Mar 2025 21:30:51 +0000

Databases are fundamental to almost all applications, facilitating everything from financial dealings to social media engagements. Nonetheless, efficient database performance monitoring frequently resembles maneuvering through a labyrinth, with concealed traps that may result in diminished performance or expensive downtime. In this article, we...

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