Here are a few examples.
If you want to reduce downtime, you’ll most likely run into some of the following challenges:
Our solution to reduce downtime
IT landscapes can grow extremely complex and are constantly evolving. When a problem occurs, who is responsible? Where do you start looking? How many systems will report the problem and how many have something relevant to say about the root cause? StackState tracks every change in your landscape and leverages the best of all knowledge to help you find the root cause in seconds instead of hours.
Get insights across teams, tools and technologies
If you want to get insights across teams, tools and technologies, you’ll most likely run into some of the following challenges:
Our solution to get insights across teams, tools and technologies
By unifying all these tools in one place, relate all telemetry data to the components and their relations, a single pane of glass is at your disposal. Every team can have its own view, to see the information they really need. Get the right data to the right people.
Map your business service in real-time
If you want to map your business service in real-time, you’ll most likely run into some of the following challenges:
Our solution to map your business service in real-time
Your business relies on a large stack of IT components whose inter-relations with the business are complex and dynamic. StackState maintains a real-time dependency mapping between your business and IT services and records any change that happens in your IT environment. StackState also tracks your business components and their metrics, so you can stop caring about what is going on under the hood. IT is always informed on how they affect your business.
Close the continuous delivery feedback loop
If you want to close the continuous delivery feedback loop, you’ll most likely run into some of the following challenges:
Our solution to close the continuous delivery feedback loop
Software development today is all about speed. Modern enterprises implement Continuous Delivery to automate the software delivery process and ship software increments to their customers faster. StackState records all software releases to your environments, so you always know what is running where.
By keeping track of relevant metrics over time, StackState helps you determine whether a new release is actually an improvement and avoid costly regression. Your development teams get direct insight into how their software is performing when it’s live and used by customers, closing the DevOps feedback loop and reducing the time it takes to fix bugs.
Drive (hybrid) cloud transformation
If you want to drive (hybrid) cloud transformation, you’ll most likely run into some of the following challenges:
Our solution to drive cloud transformations
A strategy to successfully integrate cloud into the day-to-day workings of an enterprise drives greater speed, agility and innovation. However, it also introduces additional complexity. Where are parts of my business services running? Partly on-premise, partly in (hybrid) cloud? And how are the components inter-related? If something breaks, is the root cause located in the Cloud or in the on-premise environment?
All these questions are answered by StackState. It gives you full stack visibility across your entire landscape. From business services to hardware racks, from legacy to microservices and from on-premise to cloud. At any point in time, real time or in the past. By having continuous tabs on your dynamic infrastructure, it enables you to go through the cloud transformation process flawlessly. Be in control and stay in control.
Stay in control of containers and microservices
If you want to stay in control of containers and microservices, you’ll most likely run into some of the following challenges:
Our solution to stay in control of containers and microservices
IT environments composed of microservices and containers quickly grow in complexity. Understanding the relationships between microservices is fundamental to reasoning about their behavior. StackState tracks all containers, the network connections they make and the metrics and logs they generate.
Performance bottlenecks and failures may elude you because by the time you go looking for the problem the landscape has changed again. That’s why we record every added container, every new release and every change in network behavior.