Azul Intelligence Cloud boosts DevOps efficiency with Java Estates insights

Azul Intelligence Cloud boosts DevOps efficiency with Java Estates insights

Powerful DevOps analytics solution now supports Oracle JDK and any OpenJDK-based distribution.

Azul, the only company 100% focused on Java, has announced that Azul Intelligence Cloud, Azul’s cloud analytics solution which provides actionable intelligence from production Java runtime data to boost developer productivity, now supports Oracle JDK and any OpenJDK-based JVM (Java Virtual Machine) from any vendor or distribution.

Many organisations are seeking to modernise their applications for a cloud-native AI-powered world but legacy codebases can hold back this innovation and prevent DevOps teams from reaching their full potential. Often teams have added features but not retired old code, making maintenance more difficult and increasing the risk of unexpected behaviour or exposure to vulnerabilities.

For DevOps teams, dealing with Java application deployments that often comprise a heterogeneous mix of JVMs across different Java vendors, platforms and versions becomes increasingly complex.

By supporting any JDK distribution including those from Azul, Oracle, Amazon, Eclipse, Microsoft, Red Hat and others, Azul Intelligence Cloud delivers key benefits across an enterprise’s entire Java fleet:

  • Eliminate Vulnerability False Positives: Uses information the JVM inherently has when running a Java application to identify vulnerable code that actually runs, generating accurate results unattainable by traditional application security tools. Enables DevOps to prioritise vulnerabilities based on actual risk, saving time while reducing security issue backlogs and improving production security posture.
  • Efficiently Triage New Vulnerabilities: Provides continuous detection for Java applications in production so DevOps teams can efficiently triage new critical vulnerabilities during events like Log4j. Saves DevOps time and minimises disruption so teams can focus on other productive tasks. The Azul Vulnerability Detection Knowledge Base is rapidly and continuously updated with newly published Java-specific vulnerabilities.
  • Code Use Analysis and Unused Code Visibility: Gives an aggregate view of when code was run — down to the method level — across an enterprise’s Java workloads. Enables DevOps to understand what code is used in production and helps identify unused and dead code for removal (i.e. pinpoints unused classes and libraries). Doing so lowers code maintenance effort and increases developer productivity, freeing up resources for more important business initiatives.
  • Real-time and Historical Analysis, accelerated by AI: Azul Intelligence Cloud retains component and code use history, allowing for focused forensic efforts to determine if vulnerable code was exploited prior to it being known as vulnerable. Azul’s security team uses AI to quickly identify Java-specific CVEs from the National Vulnerabilities Database (NVD) and rapidly update the Azul Vulnerability Detection Knowledge Base with newly published vulnerabilities. 
  • No Performance Impact in Production: Azul Intelligence Cloud efficiently captures Java runtime data that exists within a JVM when running a Java application, resulting in no performance impact, something not possible using traditional security or profiling tools.   

“Today’s businesses are under relentless pressure to innovate, accelerate time-to-market and fortify application security, all while grappling with resource constraints,” said Scott Sellers, Co-founder and CEO, Azul.

“Azul Intelligence Cloud is a game-changer. Using the information already inside JVMs running in production, Intelligence Cloud provides unprecedented precision and the intelligence needed to solve two significant DevOps challenges – alert fatigue from an intractable vulnerability false positive backlog and technical debt from maintaining unused code.

We’re excited to extend these capabilities across all an enterprise’s Java application fleet, regardless of JDK vendor or distribution, to dramatically slash time from unproductive tasks and multiply DevOps productivity.”

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