CubeAPM

[CubeAPM @CubeAPM]

Your metrics look fine. Your users are frustrated.
That's the gap distributed tracing closes.
Metrics show the symptom. Traces show the crime scene. But most traces vanish exactly when you need them during incidents.
Here's why
https://t.co/fkbiNwWHce

#Observability #SRE #DevOps

[CubeAPM @CubeAPM]

Observability costs at 250 person scale:

❌ New Relic → ~$57,970/mo
⚠️ Azure Monitor → ~$13,228/mo
✅ CubeAPM → ~$15,200/mo

Retention: 30 days vs unlimited
Deployment: SaaS vs self-hosted
Pricing: per user tax vs $0.15/GB flat

https://t.co/7vwdRYJay0

[CubeAPM @CubeAPM]

Your observability bill doubled. Your traffic didn't.

That's host-based pricing in action.

Ingestion-based pricing aligns cost with actual usage no surprises from autoscaling or test environments.

We broke it down below:
https://t.co/MAkMciNqO4

#Observability #DevOps #APM

[CubeAPM @CubeAPM]

Modern teams need observability that scales without unpredictable costs or limited control.

We compared New Relic vs IBM Instana vs CubeAPM across pricing, OpenTelemetry support, deployment flexibility, and scalability.

Read the full comparison:
https://t.co/D4eYE6GRzJ

[CubeAPM @CubeAPM]

Kubernetes clusters rarely fail suddenly, they degrade silently.

Most monitoring setups miss key blind spots:
• Pod metrics hiding container instability
• Evictions masked by healthy nodes
• Control-plane latency ignored
https://t.co/A1WQb7jDFu
#Kubernetes #Observability

[CubeAPM @CubeAPM]

Modern teams are outgrowing legacy APMs.

Telemetry is exploding. Systems are distributed. Costs scale with ingest. Control over sampling is limited.

Dashboards alone don’t cut it anymore.

You need flexible, scalable observability.

Is your APM built for today’s scale?

[CubeAPM @CubeAPM]

SaaS vs Self-Hosted vs BYOC Observability the real difference shows at scale.

It’s not just pricing, it’s data control, ingestion economics, & failure modes.

At small scale → SaaS wins
At scale → architecture decisions matter

Is observability a tool or part of your platform?

[CubeAPM @CubeAPM]

Datadog vs Amazon CloudWatch vs CubeAPM which one actually scales with your team.

We broke it down:
• Datadog → powerful, but costs spike at scale
• CloudWatch → AWS-native, but fragmented UX
• CubeAPM → OpenTelemetry-native, predictable pricing

https://t.co/r2RbROlNuP

[CubeAPM @CubeAPM]

Peak retail moments don’t fail because of marketing.
They fail when systems can’t keep up.

Ferns N Petals strengthened its observability with CubeAPM ahead of high-demand events.

Performance = revenue protection
Observability = risk management

#Observability #APM #RetailTech

[CubeAPM @CubeAPM]

Datadog vs Grafana vs CubeAPM- which one fits your observability stack?

We break down pricing, deployment models, data retention & OpenTelemetry support so you can choose with clarity.

Read the full comparison
https://t.co/fg2TtM96JG
#observability #APM #DevOps #SRE

[CubeAPM @CubeAPM]

Traces shouldn’t disappear when incidents start.

Retry storms + fanout + head sampling = dropped context.

If tracing fails under stress, MTTR spikes.

Read here:
https://t.co/nn24D4bolY

[CubeAPM @CubeAPM]

Every request → more spans
Every deploy → more logs
Every incident → deeper queries

At scale, telemetry growth isn’t linear. It compounds.
That’s why observability costs become unpredictable.

We broke it down here:
https://t.co/zbyF1svXGQ

#SRE #DevOps #FinOps

[CubeAPM @CubeAPM]

Sentry vs Uptrace vs CubeAPM

Choosing an observability about scale, cost control & visibility.
We compared all three across Error tracking, OpenTelemetry support, pricing & full stack visibility.

If you're evaluating your stack, this breakdown helps
https://t.co/IQKFPlPJ6i

[CubeAPM @CubeAPM]

At 2 AM, observability is about signal, cost predictability, and data ownership not shiny dashboards.

We compared New Relic vs Dynatrace vs CubeAPM from a real-world lens.

OpenTelemetry-native. No lock-in. Built for scale.

https://t.co/DnZKra63eW

[CubeAPM @CubeAPM]

OpenTelemetry standardizes traces, metrics & logs but it’s not full observability.
It doesn’t manage sampling, cost control, retention, dashboards, alerts, or RCA.
Pair OTel with a strong backend + governance for observability at scale.
https://t.co/QLxdppdPIT

[CubeAPM @CubeAPM]

Datadog/Grafana/CubeAPM which observability stack fits your scale?

Cost overruns, sampling limits, data ownership,& deployment models can make or break your observability strategy.

We compared it across pricing, control, flexibility& real world tradeoffs
https://t.co/fg2TtM96JG

[CubeAPM @CubeAPM]

Are you sampling traces…
or missing the ones that matter?

Head-based vs Tail-based sampling - the difference can decide what you debug (and what you don’t).

Learn more:
https://t.co/f2jmQcIgWz

#DevOps #SRE #Observability

[CubeAPM @CubeAPM]

Sentry vs Datadog vs CubeAPM

Sentry = error tracking
Datadog = SaaS observability
CubeAPM = metrics, logs, traces & errors with data ownership

Built for scale, OpenTelemetry-native, predictable pricing.
#Observability #APM #OpenTelemetry #DevOps #CubeAPM

[CubeAPM @CubeAPM]

Customer success starts by listening.

CubeAPM team met with our user Mamaearth to review observability usage and gather real-world feedback from teams in production.

We build by listening so our customers can scale with confidence.
#CustomerSuccess #Observability #APM #CubeAPM

[CubeAPM @CubeAPM]

Choosing between Sumo Logic, New Relic, or CubeAPM?
The real difference shows up at scale-cost predictability, data control, & OpenTelemetry-native design matter more than feature checklists.
Here’s a clear comparison
https://t.co/zLsrqCjwXz
#Observability #APM #DevOps #CubeAPM