Azul Intelligence Cloud Boosts DevOps Efficiency with Insights from Production Runtime Data Across Entire Java Estates

Scott Sellers

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

Azul Intelligence Cloud, Azul’s cloud analytics solution which provides actionable intelligence from production Java runtime data to dramatically boost developer productivity, now supports Oracle JDK and any OpenJDK-based JVM (Java Virtual Machine) from any vendor or distribution.

“Azul Intelligence Cloud is a game-changer.”

Scott Sellers, co-founder and CEO of Azul.

Businesses are under pressure to accelerate application innovation cycles and optimize their development resources, while simultaneously ensuring the security of their applications and customer data. Azul’s Intelligence Cloud consists of two services which address these challenges for Java applications running in production:

  • Azul Vulnerability Detection, to eliminate false positives by accurately identifying and prioritizing known security vulnerabilities; and
  • Code Inventory, to help identify unused and dead code by precisely detailing what custom and third-party code is actually run. 

“We acquired another firm recently and aren’t familiar with their codebase. It contains millions of lines of code – reading and understanding that code would take months. With Code Inventory, we identified large portions of unused code, archived it and now spend our time working on the important parts. This has significantly sped up our development cycles,” said an Azul Intelligence Cloud user from a leading fintech trading firm.

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 prioritize 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 minimizes 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.

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.

“Ever since the Log4J event, we have seen a dramatic rise in ‘false positives’ as a result of the various tools that organizations have employed to address Java application vulnerabilities,” said James Yang, vice president of sales at Cloud Creek, an Azul channel partner. “Currently we are on the phone with customers 3 to 4 times a week to prove that these are false positives – often we have up to 15 people on the phone from both the client side and our team spending anywhere from 30 minutes to an hour to address this. How is this productive? It’s almost like crying wolf.  Azul’s Intelligence Cloud solution takes all this pain away, completely removing the false positives and allowing our customers to quickly and effectively remediate the vulnerabilities that matter.” 

“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 of 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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