Observability Sprint

From 5 Observability Tools to One — in 4 Weeks

Four proprietary accelerators — Alarm Noise Suppression, Log Reduction Engine, Topology Builder, Blast Radius — deployed in your Elasticsearch environment. 80-90% alert noise eliminated. 50-70% storage costs cut. Zero downtime.

80-90% Alert Volume Reduction 50-70% Storage Cost Reduction
Every inquiry answered within 24 hours. Guaranteed.

Observability Tool Sprawl Is Costing You More Than Money

Cost Explosion

Data volumes grow 40% per year. Every observability tool charges per GB ingested. Three tools become five. Five contracts multiply. Your observability bill grows faster than your infrastructure — and nobody can explain where the money goes.

Alert Fatigue

500+ alerts per day. 90% are false positives. Your on-call engineers spend more time triaging noise than responding to real incidents. Morale drops. Response time degrades. The alerts that matter get buried in the ones that don't.

Zero Correlated Visibility

Each tool operates in its own silo — logs in one, metrics in another, traces in a third. Correlating a root cause across five tools takes hours. By the time you find the problem, your customers already found it for you.

4 Weeks. One Unified Stack. Measurable Outcomes.

Proven methodology. Scope validated during Week 1 before you commit to the build.

WEEK 1

Audit & Architecture

Current-state observability audit: tool inventory, data volume mapping, cost analysis, integration dependencies. Unified Elasticsearch architecture designed and validated with your team.

WEEK 2

Core Build

Elasticsearch cluster deployed and configured. Ingestion pipelines built — Beats, Logstash, Elastic Agent, or custom pipelines to match your stack. Data flowing from existing sources into unified platform.

WEEK 3

Accelerator Deployment

Alarm Noise Suppression tuned to your alert patterns. Log Reduction Engine configured for your data profiles. Topology Builder activated. Blast Radius analysis configured for pre-deployment risk assessment.

WEEK 4

Dashboards, Training, Handoff

Unified Kibana dashboards built: SRE operational view, cost view, alerting view. On-call runbook and alert escalation playbook delivered. Two SRE training sessions completed. Go-live validated.

4 Proprietary Accelerators — Deployed in Your Environment

Alarm Noise Suppression

ML-powered alert correlation that suppresses false positives. Learns your environment's alert patterns. Reduces alert volume 80-90% — not by ignoring alerts, but by identifying which ones are real.

500 alerts/day → 50 alerts/day
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Log Reduction Engine

Intelligent log sampling that cuts Elasticsearch storage costs 50-70%. Eliminates redundant log entries while preserving observability coverage. Your data gets smaller. Your visibility stays the same.

2.4TB → 800GB (67% reduction)
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Topology Builder

Auto-generates a live service dependency map from your log and metric signals. No manual documentation. No architecture meetings. Your microservice topology — visible, accurate, and current.

200+ microservices mapped in 48 hours
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Blast Radius

Pre-deployment change risk analysis. Identifies which services are at risk before you push code. Prevents post-deploy firefighting by showing the blast radius of every change.

12 at-risk services identified before deployment
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Not SaaS. Not drop-ship. Every accelerator is custom-configured to your architecture by our engineers.

Your team can consolidate to Elasticsearch. What they can't build: ML-powered alert suppression that learns your patterns, intelligent log sampling that cuts storage without losing coverage, automatic topology mapping for 200+ services, and pre-deployment risk analysis. These took us years to develop. You get them deployed in your environment in 4 weeks.

Enterprise Observability Consolidation — Verified Results

A global enterprise running four observability tools consolidated into unified Elasticsearch with SquareShift's Observability Modernization Sprint. Alarm Noise Suppression reduced daily alerts from 480 to 47. Log Reduction Engine cut storage costs by 62%. Topology Builder mapped 180+ services in 36 hours. Migration completed with zero downtime. On-call engineer satisfaction scores increased 40% within the first month.

Contact Us for Named References
62%
Storage Cost Reduction
480 → 47
Alerts Per Day
4 → 1
Tools Consolidated
Zero
Downtime During Migration

What the Sprint Delivers — and What It Doesn't

The Observability Modernization Sprint is a focused engagement — not a transformation program. It consolidates your primary observability stack into Elasticsearch with four accelerators deployed and configured. Custom integrations with edge-case data sources, compliance-specific configurations (HIPAA, FedRAMP), and multi-region deployment architectures are scoped separately.

We're transparent about boundaries because your time matters. If your scope is larger, we'll tell you before we start — and scope it together.

Need a larger scope? Let's scope it together. →

Frequently Asked Questions

We've migrated from Datadog, New Relic, Splunk, Grafana, Prometheus, and custom-built logging pipelines into unified Elasticsearch. If you have a specific tool, mention it in your request. We'll confirm compatibility within 24 hours.
No. We run the Elasticsearch stack in parallel with your existing tools throughout the sprint. Cutover happens in Week 4 after validation. You never lose observability coverage — not for a minute.
The Log Reduction Engine is specifically designed for high-volume environments. We scope the sprint to your data volume during Week 1's audit and provide a cost projection before you commit to the build.
Yes. Many sprint customers transition to Elastic Managed Services post-sprint for ongoing operations. If you proceed to managed services within 90 days, the sprint cost is credited toward your managed services contract.

Start with a Consolidation Audit

Tell us your current tool stack and data volume. We'll scope the sprint and respond within 24 hours.

24-HOUR RESPONSE SLA
Get Your Consolidation Audit