Question 1

Datadog vs New Relic, which should we adopt in 2026?

Accepted Answer

Datadog: broader integrations (500+), superior APM UI, best-in-class logs. Cost: steeper (meter-based). New Relic: simpler pricing (per-instance), strong ITSM integration, faster onboarding. Both ingest data equally fast. Pick Datadog for scale-ups with heavy polyglot stacks; New Relic for startups/mid-market on fixed budgets. TCO crossover: >200 hosts → Datadog usually wins.

Question 2

How does OpenTelemetry change observability in 2026?

Accepted Answer

OTel is the vendor-neutral standard for instrumenting apps. You collect once (OTel SDK), export to any backend (Datadog, New Relic, Jaeger, Splunk) without re-coding. Major shift: no more coupling to vendor SDKs. By 2027, OTel will be the default way SREs instrument services. Learn OTel alongside your chosen platform.

Question 3

Why do observability bills explode? How do I control costs?

Accepted Answer

Data volume. Every trace, log, metric costs money. Solutions: (1) Sampling (keep 1% of traces, full logs for errors only), (2) aggregation (roll up old metrics), (3) retention tiers (hot data 30d, cold data 1y). Datadog can cost $50k+/month on large fleets without sampling. Start with sampling ratios: APM 10%, logs 100% for errors + 5% for info, metrics all.

Question 4

Should we self-host Prometheus/Grafana or pay for SaaS?

Accepted Answer

Self-host (Prometheus + Grafana + Loki): capex for servers, operex for maintenance, unlimited scale. SaaS (Datadog, New Relic, Grafana Cloud): predictable monthly costs, vendor ops burden, limited customization. Hybrid: use Grafana Cloud for cheap metrics/logs, Datadog for APM if you need deep request tracing. Most startups: Datadog first, migrate to self-hosted at >$30k/month if needed.

Question 5

What's the right sampling strategy for traces at high volume?

Accepted Answer

Tail-based sampling: sample based on trace attributes (errors, latency > threshold). Keep 100% of errors, 10% of normal, 1% of low-latency noise. Head-based (at-ingestion): simple (sample rate = 1%) but misses important patterns. Use APM vendor's native tail sampling (Datadog Adaptive Sampling, New Relic Infinite Tracing) first; custom Jaeger samplers second. Revisit monthly as traffic patterns change.

Question 6

APM vs log-based monitoring, do I need both?

Accepted Answer

Yes. APM traces request flow through code (latency breakdown, DB calls, errors). Logs are context (who, what, when, error messages). APM shows *why* (cold DB query), logs show *what* (query SQL). Use APM to detect anomalies (p99 latency up 50%), drill into logs for root cause. Both vendors (Datadog, New Relic) bundle both; use together.

Question 7

How do I migrate from one platform to another without losing data?

Accepted Answer

Plan 3-6 months overlap: run both collectors (OTel SDKs ship to both), mirror metrics/logs via forwarding rules. Pick a cutover date (e.g., 'Q2 2026'), switch alert rules and dashboards, run parallel validation (compare metrics). Expect 1-2 weeks of double-checking. Avoid mid-incident migrations. Use OTel from day one to reduce switching cost in future.

प्रदेश	ज्युनियर	मध्यम	सीनियर
USA	$110k	$160k	$220k
UK	£65k	£95k	£135k
EU	€70k	€105k	€150k
CANADA	C$120k	C$170k	C$235k

Datadog / New Relic (APM)

Datadog / New Relic (APM) म्हणजे काय

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