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Code coverage is a software quality metric commonly used during the development process that let’s you determine the degree of code that has been tested (or executed). To achieve optimal code coverage, it is essential that the test implementation (or test suites) tests a majority percent of the implemented code.
With the increasing amount of sensitive information stored and processed, it’s essential to ensure that systems are secure and protected against potential threats. The deep insights into application code provided by OneAgent® help track potentially vulnerable data flow within an application.
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. You get code-level insights into application code without code changes. Dynatrace news. The app is powered by Kubernetes.
To help equip you for the ongoing process of optimization and the life of debugging ahead of you, we’ve gathered a list of the best tools to monitor the JVM in both development and production environments. No trials, no license purchases – just the tools you need to delve behind the scenes of your code execution. And the best part?
When visiting or relocating to another country, you must go through the local Visa process, which is often done through an online portal ahead of your trip. More worrisome was a spike in CPU usage, resulting in severe service disruption as backend processing systems crashed due to the spike in load. Dynatrace news.
The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example.
In the realm of Java development, optimizing the performance of applications remains an ongoing pursuit. Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs.
If that’s the case, the update process continues to the next set of clusters and that process continues until all clusters are updated to the new version. And the code-level root cause information is what makes troubleshooting easy for developers. Step 3: Identifying root-cause in code.
Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Garbage collection is slow if most objects survive the collection process. Dynatrace news.
Learn how to make your Java applications performance perfectly. While Performance Tuning an application both Code and Hardware running the code should be accounted for. In this blog post, we shall go over various aspects that have to be taken care of to extract maximum performance out of a Java Application running on Linux.
Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. It is an open-source framework for distributed processing of large amounts of data.
It results in remote code execution (RCE) by submitting a specially composed request. Sensitive Data Access – Do the vulnerable Javaprocesses access critical databases or file systems in the environment? For Javaprocesses that are not directly accessible to the outside world, or internal-only processes, the risk is lower.
It results in remote code execution (RCE) by submitting a specially composed request. Sensitive Data Access – Do the vulnerable Javaprocesses access critical databases or file systems in the environment? For Javaprocesses that are not directly accessible to the outside world, or internal-only processes, the risk is lower.
Fully automated code-level visibility. Apart from its best-in-class observability capabilities like distributed traces, metrics, and logs, Dynatrace OneAgent additionally provides automatic deep code-level insights for Java,NET, Node.js, PHP, and Golang, without the need to change any application code or configuration.
Fully automatic deep code monitoring module injection. One of the unique strengths of Dynatrace OneAgent is the fully automated injection of the deep code monitoring module on Windows and Linux. Fully automated deep code monitoring module injection is available for all customers as of OneAgent version 1.175.
The risk of impact from an existing known vulnerability also depends on whether certain processes are using the vulnerable parts of a software component. This information specifies which function in the source code relates to a vulnerability. Let’s assume the Java library shown in figure 1 is affected by vulnerability CVE-2024-XYZ.
Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java.
Because 60% of developers use Spring for their Java applications , many applications are potentially affected. With a critical CVSS rating of 9.8 , Spring4Shell leaves affected systems vulnerable to remote code execution (RCE). Further, the report lists Tomcat as the most popular Java application server.
Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).
Logs include critical information that can’t be found elsewhere, like details on transactions, processes, users, and environment changes. With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. How to get started.
Dynatrace provides automatic and intelligent observability without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience.
Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. In cloud-native application stacks, everything is code. and Java are the most popular languages within Kubernetes environments.
According to the 2022 CISO Research Report , only 25% of respondents’ security teams “can access a fully accurate, continuously updated report of every application and code library running in production in real-time.” Undetected, the compromised code could allow attackers to access data they’re not authorized to have.
In May 2023 the critical vulnerability CVE-2020-36641 in the Java library aXMLRPC was published in the National Vulnerability Database (NVD). To what extent attacks are possible depends on the Java version and other environmental factors. xml version="1.0"?> > <!DOCTYPE DOCTYPE foo [<!ENTITY
Managing Auto-Instrumentation in Pods The Operator automatically injects and configures auto-instrumentation for your applications, which enables you to collect telemetry data without modifying your source code. Instrumentation Instrumentation is the process of adding code to software to generate telemetry signalslogs, metrics, and traces.
Teams are embracing new technologies and continuously deploying code. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . D evelopment teams can accelerate DevSecOps processes through automation and the elimination of mundane work. .
A new critical remote code execution (RCE) vulnerability was disclosed on October 13, 2022. A remote code execution vulnerability is a cyberattack an attacker can remotely execute commands on a user’s computing device. The vulnerability affects the Apache Commons Text library. CVE-2022-42889 not as critical as Log4Shell.
One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. No cumbersome endpoint URL and token management.
Cloud-native CI/CD pipelines and build processes often expose Kubernetes to attack vectors via internet-sourced container images. Incorporating signed Dynatrace containers into your pipeline To enhance security in CI/CD processes, Dynatrace customers can integrate verified Dynatrace container images into their deployment pipelines.
Dynatrace has been building automated application instrumentation—without the need to modify source code—for over 15 years already. Driving the implementation of higher-level APIs—also called “typed spans”—to simplify the implementation of semantically strong tracing code. What Dynatrace will contribute.
Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC). Log4Shell was a zero-day vulnerability in Log4j, a popular Java logging framework.
For years, the debate has raged on regarding which programming language is better, Java or Scala. While some argue that just because Java is older it is better, others believe Scala is better for a variety of reasons. In essence, Java is classified as an object oriented programming language. The Size and Quality of the Code.
While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post. We recently extended the pre-shipped code-level API definitions to group logical parts of our code so they’re consistently highlighted in all code-level views.
Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon. Spring4Shell vulnerabilities expose Java Spring Framework apps to exploitation.
Since December 10, days after a critical vulnerability known as Log4Shell was discovered in servers supporting the game Minecraft, millions of exploit attempts have been made of the Log4j 2 Java library, according to one team tracking the impact, with potential threat to millions more applications and devices across the globe.
When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. link] When the protobuf compiler (protoc) compiles this message definition, it creates the code in the language of your choice (Java in our example). Our protobuf message definition (.proto
One issue that often complicates this process is the "noisy neighbor" problem. The sched_wakeup and sched_wakeup_new hooks are invoked when a process changes state from 'sleeping' to 'runnable.' ' They let us identify when a process is ready to run and is waiting for CPU time.
Just a single OneAgent per host is required to collect all relevant monitoring data, all the way down to specific lines of code. This article we help distinguish between process metrics, external metrics and PurePaths (traces). The Dynatrace OneAgent will automatically instrument most frameworks in Java,NET, Node.js, PHP, and Golang.
One such software supply chain attack reared its head in late 2021, with the Log4Shell vulnerability , which affected millions of live applications using Java libraries. A software supply chain attack requires only one compromised application or piece of code to affect the entire supply chain. What is a software supply chain attack?
Dynatrace Smartscape provides a near-real-time environment topology visualization of all the dependencies across the infrastructure, process, and services. Examine cross-tier and same-tier process, host, and service interdependencies to better understand how they affect application performance. www.gcp.hipstershop.com). Repurchase.
Dynatrace has offered a Lambda code module for Node.js This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. In theory, an existing code module or agent can be used to monitor a Lambda function if there’s a way to load it into the running Lambda process.
As a result, security teams struggle with: Manual processes —installation, configuration and invocation. Lack of context —most vulnerability scanners don’t provide runtime context and key information like whether vulnerable code is used at runtime. Asset exposure —indicates exposure of the vulnerable code to the internet.
by Damir Svrtan and Sergii Makagon As the production of Netflix Originals grows each year, so does our need to build apps that enable efficiency throughout the entire creative process. Having our core logic isolated means we can easily change data source details without a significant impact or major code rewrites to the codebase.
Please note that the OneAgent update process may require that the injected OneAgent modules (for Java,Net, Apache, etc.) Dynatrace documentation lists several additional parameters that the installation process accepts (the link points to Linux customization, but other OSs are supported in a similar way).
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