CIO Influence
CIO Influence News Cloud SaaS

Speedscale Announces Traffic Viewer For API Visibility In Kubernetes Clusters

Speedscale Announces Traffic Viewer for API Visibility in Kubernetes Clusters

Speedscale, a Kubernetes performance testing software vendor, announces a new global release of its software with unique API visibility features to help organizations discover problems with their cloud services well before they impact customers in production.

Recommended ITech News: Guidehouse Insights Report Finds Intelligent Buildings Revenue Expected to Grow at a Compound Annual Growth Rate

According to Peter Kreslins, CTO of Digibee: “We are leveraging the capabilities of the new Traffic Viewer when building new APIs, as well as in debugging system issues quickly. We examine the actual values in API calls, exposing potential schema and configuration issues. Not only that, we use the new filter capabilities to build tests and mocks of just the APIs we need. Now Digibee generates Speedscale quality automation even faster.”

The Traffic Viewer feature adds real-time observability into the elastically scaling Kubernetes clusters, providing an API-centric view where developers can easily understand how apps call each other, what data is being sent and what technologies are used. Once an API is instrumented with Speedscale’s listener, the Traffic Viewer handles the rest.

Recommended ITech News: Lightup Successfully Completes SOC 2 Type 2 Certification of Cloud Native Data Quality Solution

“We are proud to share our Traffic Viewer with engineering teams to help increase Kubernetes API visibility for our clients. With big advancements in open telemetry and distributed architectures, our goal was to expose all the information developers need to better test the next version of code. The upgrade was driven by customer feedback and our focus on continuous improvement,” noted Ken Ahrens, CEO and Founder of Speedscale.

Traffic Viewer Features include:

  1. Dashboard with the ability to drill down to individual transactions including message payload, headers, cookies, authentication tokens, etc.
  2. Powerful filters to analyze specific subsets of traffic.
  3. Decrypt TLS (transport layer security) traffic on the fly to see details of calls to https: endpoints.
  4. Auto-detection of downstream API dependencies, both internal and third-party.
  5. Replay selected traffic as performance and regression tests.

Recommended ITech News: Parallels Desktop 17 for Mac Unveils Powerful New Features for Both Apple M1

Related posts

Cost Pressures, Viewer Expectations Play Prominently as M&E Businesses Seek Cloud Agility

PR Newswire

Oracle Enhances Smart Construction Platform with New Analytics Capabilities

Cybersecurity Startup Dazz Appoints Julie O’Brien as Chief Marketing Officer

CIO Influence News Desk

Leave a Comment