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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.
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.
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.
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.
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
We were impressed with their commitment to the project.
They are very knowledgeable in their area of expertise.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
Nguyen is a champ. He's fast and has great communication. Well done!
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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?
PagerDuty is an incident management and on-call platform that helps teams detect, route, and resolve production issues quickly. It is commonly used by SRE, DevOps, and operations teams to centralize alerting from monitoring and observability tools, ensure the right responder is notified, and coordinate incident response across services.
PagerDuty typically sits alongside existing monitoring in cloud and hybrid environments, providing escalation policies, schedules, and incident workflows that support consistent response during business hours and after-hours coverage.
- On-call scheduling and escalation rules to reduce missed or delayed alerts
- Alert aggregation and intelligent routing from multiple monitoring sources
- Incident coordination features such as assignments, timelines, and stakeholder updates
- Runbooks and automated actions to standardize response steps
- Post-incident review support to capture learnings and improve reliability over time
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.
PagerDuty is an incident management and on-call platform used to route alerts to the right responders, coordinate resolution, and capture operational signals for continuous reliability improvement.
- Centralizes alert ingestion from monitoring and observability tools to reduce missed or duplicated notifications.
- Routes incidents using services, escalation policies, and on-call schedules so the correct engineer is paged quickly.
- Supports automated enrichment and deduplication to cut noise and speed up triage with actionable context.
- Enables consistent incident workflows with acknowledgements, handoffs, and status updates for clearer accountability.
- Improves cross-team coordination through incident timelines, stakeholder updates, and collaboration integrations.
- Provides post-incident analytics and reporting to identify recurring issues, reduce MTTR, and improve operational maturity.
- Offers runbook automation and event-driven actions to standardize response steps and reduce manual toil.
- Includes mobile and multi-channel notifications to support reliable response outside of desktop workflows.
- Supports access controls, auditability, and operational governance needed for regulated or high-availability environments.
PagerDuty is a strong fit for teams operating 24/7 services that need predictable escalation, measurable incident outcomes, and repeatable response patterns. It can require upfront effort to tune alert rules and integrations, and its value depends on disciplined ownership of services, schedules, and post-incident follow-up.
Common alternatives include Opsgenie, ServiceNow Incident Management, Splunk On-Call, and xMatters.
Our experience with PagerDuty helped us build repeatable incident response patterns, runbooks, and automation that we used to improve on-call reliability and reduce time-to-resolution for production teams.
Some of the things we did include:
- Reviewed existing PagerDuty services, escalation policies, schedules, and on-call rotations, then implemented a cleaner service ownership model aligned to team boundaries and SLOs.
- Designed alert routing and event orchestration to reduce noise, including deduplication, suppression, maintenance windows, and severity-based policies for different environments.
- Integrated PagerDuty with Prometheus and Grafana to standardize alert rules, map alerts to responders, and improve signal quality through consistent labels and annotations.
- Connected PagerDuty to Kubernetes workloads and platform components, ensuring cluster, ingress, and workload alerts paged the right team with actionable context.
- Implemented workflows for incident response and post-incident reviews, including runbook links, automated stakeholder notifications, and consistent incident metadata for reporting.
- Set up integrations with Slack and ticketing systems to coordinate responders, capture timelines, and ensure follow-ups were tracked to completion.
- Hardened access and governance by defining roles, least-privilege access, audit-friendly configuration, and standardized service templates for new teams.
- Built dashboards and reporting around paging volume, acknowledgement time, MTTR, and top alert sources to guide iterative improvements and reduce repeated incidents.
- Trained engineers and on-call leads on operational readiness, escalation etiquette, incident command practices, and how to tune alerts without losing coverage.
This experience helped us accumulate significant knowledge across multiple use-cases, from early-stage setups to large-scale operational maturity programs, and enables us to deliver high-quality PagerDuty implementations and ongoing improvements for clients.
Some of the things we can help you do with PagerDuty include:
- Run a PagerDuty assessment and deliver a findings report covering alert quality, on-call health, escalation paths, and incident outcomes.
- Define an adoption roadmap with clear ownership, service boundaries, and measurable SLO/MTTA/MTTR targets aligned to your operating model.
- Implement and configure services, schedules, escalation policies, and event rules to reduce noise and route alerts to the right responders.
- Standardize incident response workflows with runbooks, post-incident reviews, and automation to improve accountability and learning.
- Integrate PagerDuty with your observability stack (metrics, logs, traces) and CI/CD workflows to connect deploys to incidents and speed troubleshooting.
- Establish security and compliance guardrails (RBAC, auditability, least-privilege access, and change control) for reliable operations.
- Optimize cost and performance by tuning event ingestion, deduplication, alert thresholds, and on-call rotations to cut toil and paging fatigue.
- Automate incident response patterns using Infrastructure as Code and repeatable configuration to keep environments consistent and reviewable.
- Provide hands-on enablement for on-call teams, including training, tabletop exercises, and playbook coaching for faster, calmer response.
- Offer ongoing operational support to continuously improve alerting hygiene, reliability metrics, and incident management maturity.
