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ITSI (AIOps)
Secure the front door. Email is where most attacks arrive — ITSI is Splunk’s AIOps & IT service-monitoring product — turn raw IT/ops data into business-service health on the powerful Splunk data platform (SPL), with service health scores, glass tables, event analytics (episodes), ML anomalies & prediction. Now part of Cisco (one platform with the SIEM).
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How it’s rated
Full scoreboard ↓Quick answer
The Splunk platform family
This page covers IT Service Intelligence (ITSI) — AIOps & service monitoring. The rest of the Splunk platform:
Quick facts
30-second orientation- Product
- ITSI — IT service monitoring & AIOps
- Vendor
- Splunk, a Cisco company (acq. closed Mar 2024)
- The category
- AIOps / service-centric IT monitoring
- What it does
- Service health scores, glass tables, event analytics
- The edge
- Service-centric AIOps on the Splunk data platform
- AIOps
- Event grouping, anomaly detection, predictive
- One platform
- Same substrate as ES (SIEM) + Observability
- Pricing
- Ingest OR workload — quote-based (premium)
- Vs
- Datadog, Dynatrace, ServiceNow, Moogsoft/BigPanda
- In India via
- TechBag — scoping, ingest right-sizing, GST
Understand AIOps before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Splunk ITSI?
Splunk’s AIOps & IT service-monitoring product — turn raw IT/ops data into business-service health on the powerful Splunk data platform (SPL): service health scores, glass tables, event analytics, ML anomalies & prediction. Now part of Cisco (one platform with the SIEM & Observability).
Alert-flood monitoring vs service-centric ITSI \u2014 the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | ITSI (AIOps) (Splunk) |
|---|---|---|
| View | Infrastructure metrics | Service health (business terms) |
| Dashboards | Server/host tiles | Glass tables (service-centric) |
| Alerts | Flood, uncorrelated | Grouped into notable episodes |
| Detection | Static thresholds | + ML anomaly detection |
| Posture | Reactive | Predictive (warn before impact) |
| Data | Siloed IT vs security | One Splunk substrate (SPL) |
| Deployment | One way | Cloud or self-managed |
| Cost | (varies) | Premium — right-size the ingest |
Splunk ITSI is the AIOps & service-monitoring product — turn IT/ops data into business-service health on the powerful SPL data platform, with glass tables, event analytics (episodes), ML anomalies and prediction, now Cisco-backed (one platform with the SIEM). Honest caveat: it’s premium and ingest-driven \u2014 right-size the cost. Want full-stack observability? Datadog/Dynatrace. AIOps on ITSM? ServiceNow. TechBag scopes, right-sizes ingest, and handles GST (Splunk, a Cisco company).
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Ingest IT & Ops Data
Ingest IT and operational data — infrastructure, applications, networks, clouds, and more — into the Splunk data platform, where it's searchable with SPL. Broad data is the raw material of service monitoring. Everything, in one searchable place.
Model — Services & KPIs
Define your business services and the KPIs that measure them, then compute service HEALTH SCORES — so you see health the way the business works, not as a list of servers. Map infrastructure to the services it supports. Health, in business terms.
Visualise — Glass Tables
Show 'glass tables' — visual, service-centric dashboards that map health, KPIs and dependencies onto how the business really runs — so everyone from the NOC to leadership sees service status at a glance. One picture of service health. See the service, not just the servers.
AIOps — Group & Predict
Do AIOps: event analytics and correlation group the flood of alerts into a handful of meaningful 'notable episodes', ML anomaly detection spots the abnormal, and predictive analytics warns before issues hit — so ops focus on signal, not noise. Fewer, smarter alerts. Fix it before it hurts.
One Platform + Cisco
Runs on the SAME Splunk platform as Enterprise Security (SIEM) and Observability — IT and security data share one substrate ('digital resilience'). Now part of Cisco, with the AI Assistant and agentic features rolling out through 2026. Backed by Cisco's scale.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Model, detect, resolve.
Splunk ITSI turns your IT data into business-service health — grouping the alert flood into a few real episodes — the AIOps product of portfolio, and paired with the human firewall.
The Splunk Data Platform
ITSI is built on Splunk's powerful data platform — ingest any IT and operational machine data and search it with SPL (Search Processing Language), the flexible, powerful query language that's a Splunk hallmark. Any data, any question. The analytics substrate for service monitoring.
Services, Entities & Dependencies
Model your business services — the entities (hosts, apps, network elements) that make them up, and the dependencies between them — so ITSI understands how infrastructure maps to the services the business runs on. The service tree, made explicit. Model the business, not just the boxes.
Service Health Scores
Define KPIs (key performance indicators) and roll them up into a single SERVICE HEALTH SCORE per service — so a red/amber/green view tells you, at a glance, which business services are healthy and which are hurting. Health, in business terms. One number that means something.
Glass Tables (Service Dashboards)
Build 'glass tables' — visual, service-centric dashboards that lay health, KPIs and dependencies over a picture of how the business actually works — so the NOC, ops and leadership all see service status the same way. See the service, not the servers. Service status at a glance.
Event Analytics & Correlation
Group the flood of individual alerts into a handful of meaningful 'notable episodes' — correlating related events across sources so ops see one incident, not a hundred alerts. This is the core AIOps noise-reduction win. From alert storm to a short, actionable list.
ML Anomaly Detection
Machine-learning-driven anomaly detection learns normal behaviour for KPIs and entities and flags the abnormal — catching issues that static thresholds miss, and cutting false alarms. Spot the abnormal, not just the over-threshold. Catch what rules miss.
Predictive Analytics
Predictive analytics forecasts a service's health score ahead of time — so ITSI warns you an issue is coming BEFORE it hits the business, giving ops the chance to act early. Fix it before it hurts. From reacting to preventing.
Deep Dives & Root-Cause Aids
Deep-dive views, KPI correlations and topology context help ops trace a service problem to its likely cause — seeing which entities and KPIs moved, and when. Narrow the hunt for root cause. From symptom to source, faster.
Episode Review & Workflow
Notable episodes are triaged in an episode-review workflow — assign, comment, and drive to resolution, with actions and ticketing integrations — so the reduced, meaningful signal turns into resolved incidents. From grouped signal to closed incident.
Unified with ES & Observability
ITSI runs on the SAME Splunk platform as Enterprise Security (the SIEM) and Splunk Observability — so IT operations and security teams share one data substrate and can correlate across IT and security. The 'digital resilience' story, on one platform. One substrate, two disciplines.
Splunk AI Assistant
The Splunk AI Assistant (natural-language to SPL) and AI-enhanced features help ops write queries and work faster — with agentic AIOps features (triage, correlation aids) rolling out through 2026. AI in the NOC. (Some agentic features are 2026 roadmap.)
Cloud or Self-Managed
Run ITSI on Splunk Cloud Platform (Splunk-hosted SaaS) or Splunk Enterprise (self-managed, on-prem or your cloud) — flexibility that suits regulated, hybrid and sovereignty-sensitive estates (telecom, BFSI, government). Deploy your way. SaaS or self-run.
Watch the Splunk platform behind ITSI
The overview, getting started, and protecting M365 email.
Splunk — Brand Overview
Splunk, the data platform behind ITSI.
Splunk Observability in Less Than 2 Minutes
The observability side of the platform.
SIEM In Seconds — the Splunk platform
One platform for security and IT ops.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Splunk ITSI apart (and where to watch cost).
Service-centric visibility — connect infrastructure to BUSINESS SERVICE impact
The foundational reason Splunk ITSI is valued is that it makes IT monitoring SERVICE-CENTRIC — instead of a wall of infrastructure metrics, you see the health of the BUSINESS SERVICES that infrastructure supports — so ops know what actually matters to the business and customers. The problem it solves: modern IT is enormously complex — sprawling infrastructure, applications, networks and clouds — and traditional monitoring shows you thousands of individual component metrics, but NOT which business service is hurting or how a component failure affects customers. Ops teams struggle to connect infrastructure health to business-service impact, so they fight symptoms instead of protecting services. What ITSI provides: A service model — define your business services and the entities (hosts, apps, network elements) and dependencies that make them up, so ITSI understands how infrastructure maps to services. Service health scores — define KPIs and roll them into a single health score per service, so a red/amber/green view tells you which services are healthy and which are hurting. Glass tables — visual, service-centric dashboards that lay health, KPIs and dependencies over a picture of how the business really runs, so the NOC, ops and leadership see service status the same way. Impact clarity — when something breaks, you see which SERVICES it affects, not just which server blinked. So ops stop staring at component metrics and start managing SERVICES — seeing, prioritising and protecting what affects the business and its customers. Why it matters: service-centric visibility is the core of ITSI — it aligns IT with the business (health in business terms), focuses effort on what matters (the services that carry revenue and customers), and speeds triage (you see impact immediately). For complex estates where connecting infrastructure to service impact is hard, this is a genuine differentiator. The value: Splunk ITSI makes monitoring service-centric — service models, health scores and glass tables — so ops see and protect the business services that infrastructure supports, not just component metrics. For aligning IT with the business, this matters. TechBag helps organisations model their services and get service-centric visibility with ITSI. TechBag helps you see IT the way the business does.
AIOps — the cure for alert noise (event grouping, anomalies, prediction)
A defining strength of ITSI is AIOps — event analytics and correlation that group the flood of alerts into a few meaningful episodes, ML anomaly detection, and predictive analytics — which directly solves the ops team's biggest daily pain: alert noise. The problem it solves: modern IT generates a torrent of alerts — thousands a day across monitoring tools — most low-value, duplicated or symptomatic of the same underlying issue. Ops teams are overwhelmed, real problems get lost in the noise, and everyone reacts instead of preventing. The issue isn't a lack of alerts; it's far too many, poorly correlated. What ITSI provides: Event analytics & correlation — instead of showing every individual alert, ITSI groups related events across sources into a handful of meaningful 'notable episodes', so ops see one incident, not a hundred alerts (the core AIOps noise-reduction win). ML anomaly detection — machine learning learns normal behaviour for KPIs and entities and flags the abnormal, catching issues that static thresholds miss and cutting false alarms. Predictive analytics — forecasts a service's health score ahead of time, so ITSI warns an issue is coming BEFORE it hits the business, letting ops act early. Episode review — the reduced, meaningful signal flows into a triage workflow (assign, comment, ticket, resolve). So ops move from drowning in raw alerts to working a short, prioritised list of real episodes — and increasingly PREVENT issues rather than just react. Why it matters: AIOps is what makes ITSI more than a dashboard — it tames alert fatigue (the ops team's #1 pain), catches subtle issues (ML anomalies vs static thresholds), and shifts teams from reactive to proactive (prediction). For any ops team buried in alerts, this is a compelling reason to choose ITSI. The value: ITSI's AIOps — event grouping into episodes, ML anomaly detection, and predictive analytics — cures alert noise and helps ops fix issues before they hurt the business. For ops effectiveness, this matters. TechBag helps organisations adopt AIOps with ITSI. TechBag helps you turn an alert storm into a short, real list.
On the Splunk data platform — any data, one substrate for IT and security
A key reason to choose ITSI is that it's built on Splunk's uniquely powerful DATA platform — you can ingest ANY IT and operational data and ask ANY question of it with SPL — and it shares that platform with Enterprise Security (the SIEM) and Splunk Observability, so IT and security data live on ONE substrate. The context: real service monitoring needs to ingest diverse data (infrastructure, apps, networks, clouds, custom) and query it flexibly — not be boxed into predefined schemas — and increasingly, IT ops and security want to work from the same data, not siloed tools. What Splunk offers: Ingest anything — Splunk indexes any machine data, structured or not, from any source, at scale, so ITSI isn't limited to a fixed set of sources. SPL — the Search Processing Language lets ops ask arbitrary, powerful questions of that data (search, correlate, statistics, ML), not just run predefined reports. One platform — ITSI, Enterprise Security and Observability build on the SAME platform, so IT operational data can be correlated with security data (the 'digital resilience' story unifying observability and security). Scale — proven at the largest enterprises, handling massive data volumes. Efficiency of reuse — if you're already on Splunk (for the SIEM or for logs), ITSI runs on data you're already collecting, on a platform your team already knows. So ITSI sits on a flexible, powerful, unified data foundation — you can investigate anything, and IT and security share one substrate rather than duplicating tools and data. Why it matters: the shared data platform is a real strategic advantage — flexibility (any data, any query), unification (IT + security on one substrate), reuse (leverage data and skills you already have on Splunk), and scale. For organisations already invested in Splunk, running ITSI on that same platform is compelling. The value: ITSI runs on the powerful Splunk data platform — any data via SPL, and one substrate shared with the SIEM and Observability — so IT and security work from the same data, at scale. For unified, flexible operations, this matters. TechBag helps organisations get the full value of the Splunk platform for IT ops. TechBag helps you run IT and security on one substrate.
Now backed by Cisco — one platform for observability and security
A current, significant strength is that Splunk is now part of Cisco (the ~$28B acquisition closed March 2024) — so ITSI sits inside Cisco's broader observability-and-security platform, with Cisco's backing, roadmap and 'digital resilience' strategy behind it. What the Cisco acquisition means for ITSI: One platform, two disciplines — Cisco's strategy is 'digital resilience', unifying observability (ITSI, Splunk Observability) AND security (Enterprise Security) on one AI-native data platform, which is exactly ITSI's world. Cisco Data Fabric — federated analytics across data stores without central re-ingest (relevant to cost and scale for large operational estates). Backing and roadmap — Cisco's scale, R&D and go-to-market behind Splunk, with the Splunk AI Assistant and agentic AIOps features (triage, correlation aids) rolling out through 2026. Cisco's networking heritage — Cisco brings deep networking and infrastructure reach, relevant to service assurance (telecom, network operations) where ITSI is strong. So ITSI isn't a standalone product from an independent vendor anymore — it's part of Cisco's observability-and-security platform, gaining Cisco's investment and integration. (Important honesty: AppDynamics is a Cisco APM product from BEFORE the Splunk deal — it is NOT a Splunk product; don't conflate them. And some agentic AI features are 2026 roadmap, not all GA today — we're honest about that.) Why it matters: Cisco backing brings the 'one platform for observability and security' vision, federated-analytics options for cost/scale, Cisco's networking reach (relevant to service assurance), and the R&D and roadmap of a technology giant — strengthening ITSI's future. For organisations (especially Cisco customers) it's a meaningful plus. The value: ITSI is now backed by Cisco — part of a unified observability-and-security platform ('digital resilience'), with Cisco's investment, Data Fabric and networking reach — strengthening its roadmap and fit for service assurance. For a future-facing ops platform, this matters. TechBag helps organisations get the Splunk-plus-Cisco value. TechBag helps you run observability and security on one Cisco-backed platform.
The honest note — premium cost, and how to manage it
An honest, important thing to understand about Splunk is COST — it's widely regarded as powerful but premium, and cost predictability (driven by data ingest) is the #1 buyer concern across the Splunk portfolio, ITSI included. Managing this is essential to good value, and exactly where TechBag helps. Why we raise this openly: ITSI is a genuinely strong AIOps and service-monitoring product — but a TechBag buying guide should be honest, and the single biggest concern buyers raise about Splunk is cost (both the absolute premium and, especially, unpredictability). Being upfront helps you adopt it well. How Splunk pricing works: Splunk offers two models today — (a) ingest/volume-based (priced on GB/day ingested, the classic model), and (b) workload-based (SVC — Splunk Virtual Compute units measuring compute/search), which decouples cost from raw ingest and can help search-heavy (vs ingest-heavy) shops. (Splunk Observability has its own host/metric/session pricing; ITSI is licensed on top of the platform.) The cost reality: Splunk is consistently placed among the more expensive options, and ingest-based billing means costs scale with your data growth — as you onboard more operational sources and volumes rise, the bill grows, which can surprise teams (the classic 'the bill grows with the data'). Pricing is quote-based/negotiated; there are NO fixed public per-unit figures (any circulating '$X per GB' numbers are third-party estimates, not list prices). How to manage it: this doesn't make Splunk bad value — it makes cost management essential: choose the right pricing model (workload/SVC can suit search-heavy use), control ingest with data tiering and edge filtering (send only what's valuable to the indexer; route the rest cheaply), right-size your data sources and retention, use the Cisco Data Fabric for federated analytics where it avoids re-ingest, and negotiate. This is a strong TechBag value angle — right-sizing ingest and negotiating the commercials. The value: being honest — Splunk is powerful but premium-priced, with ingest-driven cost that can be unpredictable; managing it (pricing model, ingest control, right-sizing) is key to good value. TechBag scopes and right-sizes the ingest/workload and negotiates. TechBag helps you get ITSI's power with the cost controlled.
The honest scope
Splunk IT Service Intelligence (ITSI) is Splunk's AIOps and IT service-monitoring product — it turns raw IT and operational data into BUSINESS SERVICE health for IT operations, SRE and service-assurance teams — built on the powerful Splunk data platform (SPL), with service models, health scores, glass tables, event analytics/correlation, anomaly detection and predictive analytics. Now part of Cisco, sharing one platform with Enterprise Security (SIEM) and Splunk Observability. The honest framing — strengths, cost, and competition: ITSI's strengths are service-centric visibility (connecting infrastructure to business-service impact), AIOps (event grouping into episodes, ML anomalies, prediction — curing alert noise), the powerful shared data platform (any data via SPL; one substrate for IT and security), deployment flexibility (Cloud or self-managed), and now Cisco's backing. Its honest caveat is COST — premium, with ingest-driven, sometimes-unpredictable pricing to manage. The competitive landscape: Dynatrace and Datadog lead full-stack OBSERVABILITY with strong automatic AI root-cause across the stack — if pure, deep, automatic observability is the goal, they're formidable. ServiceNow ITOM/AIOps ties AIOps tightly to ITSM workflow — strong if your world revolves around ServiceNow's service management. Moogsoft and BigPanda are AIOps-specialist event-correlation tools — focused best-of-breed noise reduction. Grafana is the open, cost-friendly visualisation/observability challenger. So the honest positioning: for SERVICE-CENTRIC AIOps on your existing Splunk data — service health, glass tables, event grouping, prediction, unified with security — ITSI leads, and it's a classic strong fit for TELECOM and service-assurance (network/service SLAs) and for organisations already on Splunk; for the deepest automatic full-stack observability and AI root-cause, Dynatrace/Datadog; for AIOps welded to ITSM, ServiceNow; for focused event-correlation, Moogsoft/BigPanda. ITSI is most compelling for organisations already invested in Splunk that want service-centric AIOps and IT-plus-security unification — with cost right-sized. TechBag scopes ITSI honestly — right-sizing ingest/workload, comparing vs Datadog/Dynatrace/ServiceNow, and licensing and supporting it (as Splunk, a Cisco company) with GST invoicing.
The numbers behind the platform
What your Splunk ITSI journey looks like
AIOps scoping (& the ingest)
Your services, IT/ops data sources and — crucially — the data VOLUME (ingest) driving cost, plus cloud vs self-managed. TechBag scopes it, right-sizes the ingest/workload, and estimates cost honestly. Compares vs Datadog/Dynatrace/ServiceNow.
Deploy, ingest & model services
Stand up ITSI (Splunk Cloud or self-managed), onboard your IT/ops data sources (with tiering/filtering to control ingest), and MODEL your business services, entities and KPIs. Get service health scores live fast.
Glass tables, episodes & prediction
Build glass tables for the NOC and leadership, set up event analytics (grouping alerts into notable episodes), enable ML anomaly detection and predictive analytics. From alert storm to ranked, actionable episodes.
Operate, optimise & unify
Run ops, keep ingest cost right-sized, use the AI Assistant, and unify with security (ES) and observability on one platform. TechBag manages cost and supports you (GST invoicing).
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“ITSI changed how we run ops — we stopped staring at server metrics and started managing SERVICES. Health scores and glass tables tell us which business service is hurting and who it affects. That alignment with the business is the whole point.”
“Event analytics was the win — our NOC went from thousands of alerts a day to a short list of notable episodes. The noise reduction is real, and predictive analytics has warned us of service issues before customers noticed.”
“We were already on Splunk for the SIEM, so running ITSI on the same platform and data was efficient — one substrate for IT and security, one SPL skill set. That reuse made the business case.”
“For service assurance across our network, ITSI's service model and health scores map exactly to our SLAs. Telecom is a natural fit — we see service health, not just device status.”
“Honest truth: Splunk is not cheap, and ingest-driven cost surprised us early. TechBag right-sized our data sources, moved us toward workload pricing, and set up tiering to control ingest. Manageable with the right partner.”
“We compared Datadog and Dynatrace (great full-stack observability) — but for service-centric AIOps on our existing Splunk data, and unifying with security, ITSI won. TechBag gave an honest comparison, not a sales pitch.”
“ML anomaly detection catches things static thresholds missed — subtle KPI drifts that would have become outages. Fewer false alarms, earlier warning. The AIOps is doing real work.”
“Splunk (a Cisco company) bills in USD, and TechBag handled scoping, ingest right-sizing, licensing and GST. Local expertise made service-centric AIOps work for us as an Indian enterprise.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the AIOps & IT service-monitoring market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Service-centric AIOps on the Splunk platform (Cisco). This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Deepest service model + AIOps on Splunk data.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Splunk ITSI vs the AIOps & observability field
Datadog, Dynatrace, ServiceNow, Moogsoft/BigPanda and Grafana — honest lanes; the edge is service-centric AIOps on the Splunk data platform (and unifying with security). Want full-stack observability? Datadog/Dynatrace. AIOps on ITSM? ServiceNow. We say so \u2014 and we manage the ingest cost.
| Dimension | Splunk ITSI | Datadog | Dynatrace | ServiceNow ITOM/AIOps | Moogsoft/BigPanda | Grafana |
|---|---|---|---|---|---|---|
| Position | Service-centric AIOps on Splunk (Cisco) | Full-stack observability leader (SaaS) | Full-stack observability + AI root-cause | AIOps tied to ITSM workflow | AIOps-specialist event correlation | Open visualisation / observability |
| Service-centric monitoring | Services, health scores, glass tables | Service maps / APM | Smartscape topology | Service mapping (CMDB) | Focused on events | Build-your-own |
| AIOps / event correlation | Episodes, ML, predictive | Watchdog AI | Davis AI (auto root-cause) | Strong (workflow-tied) | Specialist correlation | Basic / add-ons |
| Full-stack observability depth | Via Splunk Observability | Deep, native | Deep + auto root-cause | Ops-focused | Not its focus | Metrics/dashboards |
| One platform w/ security (SIEM) | Same platform as ES | Cloud SIEM (separate) | Some security | SecOps module | No | No |
| Deployment (cloud + on-prem) | Cloud OR self-managed | SaaS-only | SaaS or managed | Cloud (Now platform) | SaaS/on-prem | Self-host or cloud |
| Cost / predictability | Premium; ingest-driven | Can get pricey | Premium | Enterprise licensing | Moderate | Open / low cost |
| Best fit | Service-centric AIOps on existing Splunk | Cloud-native full-stack observability | Auto AI root-cause observability | AIOps welded to ITSM | Focused event-correlation | Open, low-cost dashboards |
Which email-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Splunk ITSI if…
- ✓You want SERVICE-CENTRIC AIOps — service health scores, glass tables, and infrastructure-to-service-impact clarity, not just component metrics
- ✓You want AIOps to cure alert noise — event grouping into notable episodes, ML anomaly detection, and predictive warnings
- ✓You're already on Splunk and want IT + security on one platform (shared with ES and Observability) — telecom/service-assurance is a classic strong fit
- ✓You'll right-size the (premium, ingest-driven) cost — with TechBag managing ingest/workload
Datadog if…
- ✓You want cloud-native, full-stack observability as the primary goal (SaaS-only)
Dynatrace if…
- ✓You want the deepest automatic AI root-cause across the full stack
ServiceNow ITOM/AIOps if…
- ✓Your world revolves around ServiceNow ITSM and you want AIOps welded to it
Moogsoft/BigPanda if…
- ✓You want a focused, best-of-breed event-correlation AIOps specialist
What do email threats cost you?
Drag the sliders (count services/ops staff; hour cost as loaded rate). Estimates contrast an alert-flooded, blind IT ops team (missed service impact, slow triage, reactive firefighting) vs Splunk ITSI (ranked notable episodes, service health scores, predictive warnings) \u2014 the wins are faster triage, less downtime, and proactive prevention. NB: Splunk's own cost is ingest-driven \u2014 TechBag right-sizes it. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Splunk pricing is QUOTE-BASED \u2014 two models: ingest/volume (GB/day) or workload (SVC \u2014 compute/search); ITSI licenses on top of the platform. Splunk is powerful but PREMIUM, and ingest-driven cost can be unpredictable (the #1 concern). There are NO fixed public per-unit figures (circulating numbers are third-party estimates). Splunk (a Cisco company) bills in USD. TechBag scopes and RIGHT-SIZES the ingest/workload, controls ingest (tiering/filtering), advises the model, negotiates, and handles GST.
Splunk ITSI (ingest or workload)
Best for service-centric AIOps
- Two models: ingest (GB/day) OR workload (SVC — compute/search)
- QUOTE-BASED, premium — no fixed public per-unit figures
- Cloud or self-managed; one platform with the SIEM (Cisco)
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ Cost management (the key)
Best value with TechBag
- Right-size ingest — data tiering & edge filtering to control cost
- Choose the right model (workload/SVC for search-heavy)
- Splunk bills USD; TechBag manages ingest cost + GST
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Do you need to see BUSINESS-SERVICE health (not just component metrics)? ITSI's service models, health scores and glass tables make monitoring service-centric.
Is your NOC drowning in alerts? ITSI's event analytics groups the flood into a handful of meaningful notable episodes.
Want to catch issues before they hit the business? ITSI adds ML anomaly detection and predictive analytics.
Already using Splunk (SIEM or logs)? ITSI runs on the same platform and data — one substrate for IT and security, one SPL skill set.
Running network/service SLAs (telecom, providers)? Service-centric ITSI is a classic strong fit for service assurance.
Need cloud OR self-managed (regulated/hybrid/sovereignty)? Splunk runs both — unlike SaaS-only rivals.
Understand Splunk is premium and ingest-driven — cost management (pricing model, ingest tiering, right-sizing) is essential. TechBag handles it.
Full-stack observability (Datadog/Dynatrace)? AIOps-on-ITSM (ServiceNow)? Event-correlation (Moogsoft/BigPanda)? TechBag compares honestly.
Questions buyers ask
Ready for service-centric AIOps \u2014 with the cost controlled?
Scope Splunk ITSI (service health scores, glass tables, event analytics, ML anomalies, prediction \u2014 on the powerful Splunk data platform, now Cisco-backed) \u2014 and let a TechBag advisor model your services, right-size the ingest/workload, control the cost, choose cloud vs self-managed, and quote it properly. Or compare vs Datadog/Dynatrace/ServiceNow if full-stack observability or AIOps-on-ITSM is your priority.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.