Get the observability context you need to troubleshoot fast
Bring instant context to the observability data that is already in your Splunk data lake and give all teams the information they need to maintain smooth operations. No need to write lengthy manual queries that require frequent updates.
Splunk Is not enough
As a big data solution often used for observability, Splunk is widely adopted for its ability to centralize massive amounts of monitoring data, often coming from different tools (such as SolarWinds, Prometheus, Azure and AWS CloudWatch).
Splunk is a great data lake – it gathers data from across your environment in one central spot. But it doesn’t operationalize the data and it doesn’t establish how different parts of the whole affect each other, especially across tools and domains. So when something breaks, it’s hard to understand what happened.
You need to be able to see the dependencies and relationships in your environment.
We show you what changed
StackState operationalizes Splunk data and creates a single pane of glass that shows you exactly what is happening across your environment and how all components are interrelated.
We create a topology that tracks all changes across your stack over time, then highlights exactly what is happening when things start to go wrong.
Featured customer: Nationale-Nederlanden Bank
”A central data lake is great, but it is not enough. We need [to see] dependencies. We need to know if something is going wrong, how it impacts the business. And if business is impacted, what is going wrong...With StackState we bring it all together.”
- Sander Vijfschagt, Platform Services Leader, NN Bank
See how Nationale-Nederlanden Bank (NN Bank), a European financial institution, used StackState with Splunk to create a common view of their IT environment, understand the business impact of issues, reduce wasted time in war rooms and accelerate root cause analysis:
An increase in availability from 97.5% to 99.8%
MTTR that went from 4-6 hours to less than one hour
A dramatic boost in customer satisfaction, as measured by NPS scores
Relating IT to business performance at NN Bank
Read this case study to learn how NN Bank used StackState with Splunk to capture events and quickly see what is happening, where it is happening within their stack, what caused the event and the systems that were impacted by it.
How Nationale-Nederlanden Bank gained dividends from observability
Watch this webinar to see how NN Bank used StackState to improve business outcomes and provide better application availability for customers. They also used the Observability Maturity Model to assess and improve the maturity of their observability practice.
Boost performance, find and fix problems fast with StackState
StackState observability brings efficiency to your Splunk cloud so you can optimize environment reliability and performance:
No need to write lengthy manual queries in the heat of the moment
No more time-consuming manual correlation of disparate data to try to piece together what happened
No more panicked war rooms
No more finger pointing
No more sluggish systems
Just clear, contextual insight into what changed and the effects of that change, so you can improve MTTR and deliver a better experience to customers.
5 ways StackState provides deeper insights with Splunk data
Aggregate telemetry and trace data from Splunk and other tools, such as Kubernetes and AWS, into a unified data fabric.
Auto-discover topology to visualize relationships and dependencies and provide context on stack activities.
Track all changes over time across tools and domains, such as deployment of a new file, cloud or container resources spinning up or down, components spinning up or down or configuration changes.
Correlate telemetry, trace and topology information from all sources over time.
Visualize how your stack changes as events occur, so you can see the effects of these changes and go straight to the root cause of problems.
Learn more about better observability with StackState and Splunk
Read more about how StackState and Splunk complement each other for better observability.
See how Splunk resellers and systems integrators can make their customers more successful with a Splunk-StackState combination.
Learn more about how StackState visualizes dependencies and relationships so you can understand what change caused a problem and fix it fast.
Find out how Nationale-Nederlanden Bank uses StackState to solve the problem of gaining better visibility from the volumes of data coming out of monitoring solutions such as Splunk to gain greater insights, faster root cause analysis and shorter MTTR.
Read in detail how it works and how to set it up.
StackState Vision and Differentiators· Heidi Gilmore4 min watch
Toffer Winslow, CEO of StackState, shares what makes StackState's vision and approach to observability and AIOps different from everyone else's in the market.
White Paper: Observability Maturity Model30 min read
Download the Observability Maturity Model to help evaluate your current observability maturity level and improve observability throughout your organization.
Big Relationships Grow From Big Data: UMBRiO, StackState and Splunk· Jeroen Storm4 min read
Seven years ago, I was focused on big data. Little did I know that focusing on big data would lead to big relationships. The long-standing relationship I have had with UMBRiO now extends across StackState.