Instana announced new observability features for Red Hat OpenShift and CoreOS Container Application Platforms, including the ability to monitor and understand the relationship between these platforms and application performance.
Red Hat OpenShift and CoreOS Tectonic are both commercial implementations of the open-source Kubernetes Container Orchestration System providing additional capabilities. Instana has extended their new Kubernetes monitoring capabilities to provide complete tectonic and OpenShift Monitoring.
“As more organizations adopt containers and orchestration platforms, they’ll need additional services beyond scheduling and deployment,” said Mirko Novakovic, CEO of Instana. “Between the additional security services of OpenShift and the integrated performance monitoring of Instana, orchestrated microservice applications are now more manageable.”
Instana’s new Kubernetes monitoring features extend the company’s AI-powered APM solution to automatically discover, monitor and analyze standard Kubernetes labels, clusters and pods in addition to the orchestrated application, itself. This provides unmatched OpenShift system visibility, contributing additional information to Instana’s AI-assisted monitoring and troubleshooting algorithms, which gives users absolute holistic observability and relational understanding between their orchestrators and applications performance.
Kubernetes and OpenShift allow IT Ops teams to rapidly respond and adjust to changes in application layouts. New Kubernetes-specific information from Instana helps improve software delivery cycle times by providing insight into container change events. Instana provides precise real-time visibility and AI-powered understanding of what is happening across both the application and the Kubernetes / OpenShift / Tectonic environment. This comprehensive observability enables automatic analysis of the performance of any and all microservices in real time.
Instana’s APM solution enables IT organizations to deliver services and applications more quickly and efficiently by automating the management of business-critical applications in containerized environments. The company’s solution leverages automation and AI to automatically monitor, visualize and understand application performance for dynamic containerized microservice applications. Continuous discovery and mapping provides real-time infrastructure and application service visualization, even under constant change.
Instana’s new Kubernetes monitoring technology automatically discovers and monitors the OpenShift stack, using tagging metadata to automatically model and monitor the services and applications running in OpenShift. With this announcement, Instana is extending the containerized microservice solution’s automation, AI and real-time visualization to managed OpenShift environments.
The new OpenShift monitoring features are available now .
The Latest
The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix ...
Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success ...
While most companies are now deploying cloud-based technologies, the 2024 Secure Cloud Networking Field Report from Aviatrix found that there is a silent struggle to maximize value from those investments. Many of the challenges organizations have faced over the past several years have evolved, but continue today ...
In our latest research, Cisco's The App Attention Index 2023: Beware the Application Generation, 62% of consumers report their expectations for digital experiences are far higher than they were two years ago, and 64% state they are less forgiving of poor digital services than they were just 12 months ago ...
In MEAN TIME TO INSIGHT Episode 5, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the network source of truth ...
A vast majority (89%) of organizations have rapidly expanded their technology in the past few years and three quarters (76%) say it's brought with it increased "chaos" that they have to manage, according to Situation Report 2024: Managing Technology Chaos from Software AG ...
In 2024 the number one challenge facing IT teams is a lack of skilled workers, and many are turning to automation as an answer, according to IT Trends: 2024 Industry Report ...
Organizations are continuing to embrace multicloud environments and cloud-native architectures to enable rapid transformation and deliver secure innovation. However, despite the speed, scale, and agility enabled by these modern cloud ecosystems, organizations are struggling to manage the explosion of data they create, according to The state of observability 2024: Overcoming complexity through AI-driven analytics and automation strategies, a report from Dynatrace ...
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
