IBM MQ → RabbitMQ
Phased migration with legacy code refactoring
Legacy messaging replaced in phases while the applications calling it were refactored. No big-bang cutover.
American NationalDelivered by the AceMQ engineering team
Observability
Observability consulting: Prometheus, Grafana, Datadog and Kibana.
Monitoring that produces decisions, not just dashboards. Metrics, logs and traces connected, with 24/7 support.
- principles on every project
- 8
- AceMQ support after go-live
- 24/7
- price assessment first
- Fixed
- AceMQ engineering since
- 2016
The short answer
Observability lets engineers understand what a system is doing from the metrics, logs and traces it emits. Monitoring tells you something is wrong; observability helps you find why, including for failures nobody predicted. Our consulting implements Prometheus, Grafana, Datadog and the Elastic Stack, and supports them 24/7.
Customers
Partners
01Concepts
Observability versus monitoring
Monitoring checks conditions you defined in advance: CPU over a threshold, an endpoint returning errors. Observability correlates metrics, logs and traces so you can investigate problems you did not define. Monitoring is one part of an observability practice. Good observability shortens time to resolution because the evidence is already connected when an incident starts.
02Services
What an engagement covers
- Assessment of current tools, dashboards and alert noise.
- Instrumentation with OpenTelemetry and vendor agents.
- Metrics with Prometheus, dashboards with Grafana, logs with the Elastic Stack and Kibana.
- Tracing and APM with Jaeger, Datadog or New Relic.
- Alerts tied to service-level objectives and incident response.
- Monitoring for Kubernetes, containers and serverless.
- Anomaly detection using machine learning where it earns its place.
03Architecture
The four layers of a stack
An observability stack has collection (agents, exporters, OpenTelemetry), storage, visualization and alerting. Open-source stacks on Prometheus, Grafana, Elastic and Jaeger give you control over data and cost. Commercial platforms such as Datadog, New Relic, Dynatrace and Splunk trade that control for less operational work. Many enterprises run a mix.
How every engagement runs
AI drafts. Engineers decide.
Every Ace8 engagement follows the same three phases and the same eight principles, whatever the stack you start from.
- Test before you touch
- AI drafts, engineers decide
- Strangle, don’t big-bang
- Every step is reversible
- Measure before and after
- Open targets, no new lock-in
- Fixed scope before fixed price
- Plan the run before the cutover
- 01Fixed priceAssess
Scope, cost and AI readiness, before any migration starts.
- 02Ace8Modernize
AI-assisted, engineer-verified, one capability at a time.
- 03AceMQ · 24/7Run
AceMQ engineers support the new stack from day one.
04Common problem
Tool sprawl
Tools accumulate: one per team, one per cloud, one inherited from an acquisition. The result is duplicated cost, dashboards nobody trusts and incidents where every team looks at a different screen. Shared conventions for metrics, logs and traces are often the fastest improvement available.
05Modernization
Observability before cutover
Moving a legacy application to new infrastructure only works if you can compare behavior before and after. We set up baseline metrics on the old system first, then use the same dashboards to prove the new one performs as well. This follows the method: measure, move, verify. It also feeds incident management once the new stack is live.
06Partner
Choosing a consulting partner
Look for hands-on experience with both open-source and commercial tools, certification in the platforms you run, and the ability to support production around the clock.
Ask how alerts will be designed. Most monitoring failures are alert failures: too many pages for things nobody acts on, and silence for the one thing that matters. We design alerts from service-level objectives, then remove the ones that never lead to action.
Proof
Delivered by the AceMQ engineering team.
1,000+ apps
Spring and Java applications upgraded in 24 hours
A deterministic Spring upgrade process, run through Broadcom’s commercial Spring support, in a single 24-hour window.
Global financial institutionDelivered by the AceMQ engineering team
IBM MQ out
Proprietary messaging displaced
IBM MQ displaced with an open-source messaging stack, supported by AceMQ.
DellDelivered by the AceMQ engineering team
After go-live
Keep it running after cutover.
Prometheus, Grafana, Datadog, Elastic Stack and Kibana, New Relic, AppDynamics, Splunk, Dynatrace, CloudWatch, Azure Monitor, Google Cloud Monitoring, OpenTelemetry and Jaeger.
End-to-end visibility across applications, infrastructure and user experience, so you can trace a symptom to its cause.
Yes. It is the feedback loop of DevOps and SRE: it shows how each release behaves in production and drives alerting.
Yes. It combines infrastructure metrics, logs, tracing and APM. We deploy and tune it, and integrate it with other tools.
Yes, for containerized and serverless environments on AWS, Azure and Google Cloud.
Start here
Know the cost before anything moves.
A fixed-price assessment gives you the inventory, the risk score and a phased plan. Scope and cost are fixed before the migration starts.
Get in touch
Talk to a modernization engineer
Tell us what you run today. An engineer, not a sales script, replies within one business day.