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Testimonials
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
They have been great at adjusting and improving as we have worked together.
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
We were impressed with their commitment to the project.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
I was impressed with the amount of professionalism, communication, and speed of delivery.
Nguyen is a champ. He's fast and has great communication. Well done!
They are very knowledgeable in their area of expertise.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
Azure Monitor is Microsoft Azure’s native observability service for collecting and analyzing metrics, logs, and traces from cloud resources and applications. It is commonly used by platform, DevOps, and operations teams to centralize monitoring, detect issues early, and improve reliability across Azure workloads.
It is typically implemented by configuring diagnostic settings and Log Analytics workspaces, then using Kusto Query Language (KQL), alerts, and dashboards to support day-to-day operations and incident response. For related operational practices, see DevOps consulting.
- Centralized collection of platform metrics and resource logs across Azure services
- Log analysis and correlation using KQL in Log Analytics
- Alerting for thresholds, availability checks, and signal-based notifications
- Workbooks and dashboards for operational visibility and reporting
- Integration with application instrumentation and distributed tracing via Application Insights
Monitoring allows for a continuous data stream of system status and insights to be arranged in a user-friendly method that is easy to interpret.
- Provides real-time visibility into system performance and health, enabling proactive issue resolution.
- Alerts to potential problems before they escalate, reducing downtime and improving service reliability.
- Tracks and analyzes key performance indicators (KPIs), aiding in informed decision-making.
- Enhances security by detecting unusual activities or breaches, allowing for immediate response.
- Facilitates resource optimization by identifying underutilized or overburdened assets.
- Supports compliance efforts by maintaining logs and records of system activities.
- Enables a data-driven approach to IT management, improving overall operational efficiency.
Azure Monitor is Azure’s native observability platform for collecting, correlating, and acting on metrics, logs, and traces from Azure resources and applications. It is used to standardize monitoring and incident response across subscriptions with tight integration into the Azure control plane.
- Unified data sources by combining platform metrics, Activity Log, and resource logs under a consistent monitoring model.
- Centralized log analytics with Log Analytics workspaces and Kusto Query Language (KQL) for fast, repeatable investigations.
- Actionable alerting using metric and log alerts with action groups for consistent paging, routing, and automated remediation.
- Application performance monitoring via Application Insights for request tracing, dependency mapping, and latency analysis.
- Operational dashboards with Workbooks to publish role-based views without building custom UI tooling.
- Scalable agent and data collection options using Azure Monitor Agent and Data Collection Rules to control what is collected and where it lands.
- Native coverage for common Azure workloads such as AKS, App Service, Azure SQL, Storage, and Key Vault, reducing integration effort.
- Service Health signals to separate workload failures from Azure platform incidents and regional outages.
- Governance and access control through Azure RBAC and workspace permissions aligned to landing zone patterns.
- Cost and retention controls through workspace design, sampling, data caps, and retention policies to manage ingestion at scale.
Azure Monitor is typically a strong fit for Azure-first organizations that want consistent telemetry, alerting, and troubleshooting with minimal third-party integration. Common trade-offs include KQL ramp-up for advanced analysis and potentially significant ingestion costs at high log volumes, which often require deliberate workspace architecture and data filtering.
Common alternatives include Datadog, New Relic, Splunk Observability, and Prometheus with Grafana. For platform details, see Azure Monitor documentation.
Our experience with Azure Monitor helped us turn monitoring from a set of ad-hoc alerts into a consistent, operationally useful observability layer across Azure subscriptions and application teams. Through delivery work, we built repeatable patterns for metrics, logs, and dashboards that improved incident response, reduced alert noise, and made monitoring costs more predictable.
Some of the things we did include:
- Designed Log Analytics workspace architectures for multi-subscription environments, including segmentation, RBAC, retention, and chargeback-friendly tagging standards.
- Implemented Azure Monitor Agent (AMA) rollouts with Data Collection Rules (DCRs) to standardize log and metric collection across VMs, scale sets, and hybrid servers.
- Built actionable alerting strategies using metric and log alerts, including dynamic thresholds, suppression windows, dependency-aware routing, and escalation paths aligned to on-call operations.
- Created Azure Monitor Workbooks for service health, SLO-style views, and troubleshooting workflows that helped teams move from “what happened” to “what changed” faster.
- Integrated Azure Monitor with Azure Log Analytics to correlate platform signals with application logs and reduce time-to-diagnosis during incidents.
- Enabled container observability for AKS using Container Insights, tuning data collection and retention to balance visibility with ingestion cost and query performance.
- Connected alerts and incident workflows into Azure DevOps so recurring signals produced structured work items, ownership, and post-incident follow-ups.
- Implemented governance controls to reduce noise and spend, including log filtering, sampling strategies, alert consolidation, and workspace-level cost monitoring.
- Hardened access to monitoring data with least-privilege role design, scoped workspace permissions, and audit-friendly patterns for regulated environments.
- Automated common remediation steps with runbooks triggered from alerts, including safe guardrails, rollback steps, and clear operational handoffs.
This delivery experience helped us accumulate significant knowledge across Azure Monitor use-cases, from platform monitoring and AKS visibility to incident workflows and cost control. It enables us to deliver high-quality Azure Monitor setups that are consistent, maintainable, and aligned to real operational needs.
Some of the things we can help you do with Azure Monitor include:
- Assess your current monitoring and alerting posture and deliver a prioritized findings report with quick wins and risk gaps.
- Create an Azure Monitor adoption roadmap that standardizes signals, naming, tagging, and operational ownership across teams.
- Design and implement Log Analytics workspace strategy (RBAC, retention, ingestion controls) aligned to scale and compliance needs.
- Deploy metrics, logs, and distributed tracing instrumentation for apps and platforms, including Application Insights where appropriate.
- Build actionable dashboards and SLO/SLA-aligned alerting with noise reduction, deduplication, and on-call ready runbooks.
- Automate monitoring at scale using IaC (Terraform/Bicep) and CI/CD to enforce consistent observability guardrails across environments.
- Implement security and compliance controls for telemetry (access boundaries, data handling, retention policies, and audit-ready configurations).
- Optimize cost and performance by tuning data collection rules, sampling, retention, and workspace architecture to reduce ingestion spend.
- Troubleshoot incidents faster with query optimization, correlation patterns, and standardized troubleshooting playbooks.
- Enable your teams with hands-on training for KQL, dashboarding, alert design, and day-2 operations best practices.
Learn more about our related DevOps Engineering services.
