Instana announced the extension of monitoring and tracing capabilities for applications using GraphQL as part of their infrastructure, including deep inspection of GraphQL queries.
This latest extension makes Instana the first APM provider to monitor GraphQL and the applications making use of the unique data query engine.
“Since application and microservice platform technology continues to evolve, it’s critical for application management solutions to keep pace,” said Chris Engelbert, Developer Advocate at Instana. “By monitoring and tracing GraphQL performance in addition to the application, Instana provides the exact data needed to optimize performance of GraphQL queries.”
Instana captures the GraphQL HTTP traffic and displays the executing query as plain text. Instana goes further, though, parsing the actual GraphQL queries.
Instana’s automated Application Performance Monitoring (APM) solution discovers all application service components and application infrastructure, including GraphQL, Jenkins, Kubernetes and Docker. Instana automatically deploys monitoring sensors for each part of the application technology stack and traces all application requests – without requiring any human configuration or even application restarts. The solution detects changes in the application environment in real-time, adjusting its own models and visualizing the changes and impacts to performance in seconds.
“Ultimately, application providers are driven to create the best possible user experience,” said Chris Farrell, Director of Marketing at Instana. “By providing monitoring and deep inspection of more components, Instana’s comprehensive and automated monitoring delivers the precise data that application stakeholders need to optimize application performance, especially for platforms such as GraphQL.”
Instana’s GraphQL monitoring and tracing is part of Instana’s larger dynamic application and infrastructure monitoring that includes support for everything from Java application code to specialty microservice querying platforms.
The Latest
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
