SaaS Companies

Traditional performance monitoring solutions simply do not align with the context of modern applications:

SaaS experience: what’s at stake

SaaS application performance (response times and errors) strongly affects their business’ efficiency:

Sales Conversion

SaaS performance is key to sales conversion. End user experience is a crucial criteria during the evaluation of cloud services. Page load times will be key to converting prospects into SaaS buyers.


The SaaS model is massively leveraged to internationalize software businesses. Delivering consistent performance at a global scale is a must to support the international ambition of software vendors.

User adoption

User adoption is driven by digital experience. It translates directly into customers churning or not, which is a critical business factor for software companies.

Challenges: new environments require new recipes!

Traditional performance monitoring solutions simply do not align with the context of modern applications:

  • Cloud based applications rely massively on PaaS platforms where your DevOps team does not have access to the system layer and no agent can be installed.
  • Agile teams are massively automating releases and deployments (CI/CD). With the help of micro services, functionalities inside an application are evolving at any given time. The scale and the geography of the deployment also vary automatically. Traditional legacy monitoring solutions rely too heavily on manual configuration to remain a workable solution for experience monitoring.
  • Most SaaS apps are designed for a business with global span. Traditional application performance monitoring is not designed for complex applications relying on public internet networks and cloud resources whose behavior changes every minute: DNS, CDNs, IP transit / peering points between operators.
  • Digital teams managed outside of the traditional IT are more focused on application development and do not have resources dedicated to performance monitoring. They need monitoring solutions that integrates with their DevOps / SRE context and processes. Above all they seek more programmability and more automation to do more while consume less resources.

What your SRE/DevOps teams require

  • The speed at which SRE/DevOps teams operate requires experience monitoring that automatically adapts to the application changes.
    It needs to provide proactive feeds on the performance trends to correct and optimize adequately.
  • SRE and DevOps teams are designed to test new features and infrastructure options all the time; they need a performance feedback on their tests in real time!
  • Most teams deliver SaaS offerings at a global scale: their monitoring should also operate at world scale.

What will Kadiska offer?

Unlike your traditional NPM and APM solutions, Kadiska has been designed for cloud native applications and services. Your team regains control on SaaS applications and cloud native applications.

Visibility on user experience any time

Understand usage patterns (where, volume, what transactions are they using, overall performance)

Deep dive on performance: isolate faults immediately

  • CDN, 3rd party, app
  • Page load time drivers
  • Performance contributors
  • Resources
  • Errors
  • Where your users and your digital platform is performance being degraded

Proactive alerting powered by a global network of performance stations

  • Managed performance stations testing all the layers of your app permanently (DNS, Network, TLS, HTTP)
  • Leverage a worldwide network of test point to identify any regional issue before your users do
  • Receive real time alerts with clear insights on the root cause of the degradation

Guided troubleshooting

Automatically detect the scope of a degradation

  • When (what changed vs your baseline)
  • For which users (device type, browser, geo location)
  • Why (which part got degraded – network, server, content loading, long tasks, errors)

Guide your team to the root cause through AI based drill down processes

  • Network: DNS, network path, latency / loss increase, TLS negociation
  • Server
  • Content loading: non-optimized rendering path, long tasks, poor compression / caching
  • CDN/3rd party performance

Enhance user experience

  • Identify performance hogs
  • Pinpoint infrastructure layer where an optimization can be achieved
  • Get recommendations to optimize CDN and cloud computing platform based on peer benchmarks