This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
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. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.
This first step clearly shows that the code that powers getFamilyCondition is using a lot of CPU – much more than any other of the top services combined! It can be your own code, 3 rd party code or your runtime that executes for certain tasks such as Garbage Collection. So – we found the culprit!
Broken Apache Struts 2: Technical Deep Dive into CVE-2024-53677The vulnerability allows attackers to manipulate file upload parameters, possibly leading to remote code execution. Introduction Apache Struts 2 is a widely used Java framework for web applications, valued for its flexibility and Model-View-Controller (MVC) architecture.
Kubernetes provides many features which are similar to Spring Cloud and Spring Config Server features. It's a great deal when developers have total control over cloud configuration along with business logic source code. Spring framework has been around for many years.
These days, our code frequently has to reach out to a remote server as part of its job, usually consuming an API or some other service. Frequently, our code communicates with these remote services in a RESTful manner. Introduction.
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. Optimize your code by finding and fixing the root cause of garbage collection problems.
Recently, a critical vulnerability was discovered in Apache Struts, a widely used Java-based web application framework. This vulnerability, published as CVE-2024-53677 on December 11, 2024, affects the file upload mechanism, allowing for path traversal and potential remote code execution.
I remember when.Net originally came out some 20 years ago and Microsoft had created a website called "pet shop" or something, where they were able to "prove" that.Net and SQL Server was faster than the Java and Oracle equivalent. Watch me run you through the code below.
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.
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.
By open-sourcing the project, we hope to contribute to the Java and GraphQL communities and learn from and collaborate with everyone who will be using the framework to make it even better in the future. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem.
Its simplicity and efficacy make it the go-to solution for diagnosing and understanding system-level operations, especially when working with servers and containers. If you have friends who are learning to code, I'd appreciate a reference to my Java Basics book.
In May 2023 the critical vulnerability CVE-2020-36641 in the Java library aXMLRPC was published in the National Vulnerability Database (NVD). XML external entity (XXE) exploit The aXMLRPC library allows its users to connect to a server and perform RPC calls using the XML-RPC protocol over HTTP.
It results in remote code execution (RCE) by submitting a specially composed request. This means that an attacker with control over a string that gets passed to the log4j 2 logger can trick the application into requesting a resource from a server under the attacker’s control, then load it, and then execute it.
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.
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.
It results in remote code execution (RCE) by submitting a specially composed request. This means that an attacker with control over a string that gets passed to the log4j 2 logger can trick the application into requesting a resource from a server under the attacker’s control, then load it, and then execute it.
With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. Automatic contextualization of log data works out-of-the-box for popular languages like Java,NET, Node.js, Go, and PHP, as well as for NGiNX and Apache Web servers.
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.
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. url” to load values from remote servers via URLs. The vulnerability affects the Apache Commons Text library.
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.
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.
Facilitating remote access to other computers or servers with easier navigation. A dashboard for monitoring activities such as database locks, connected sessions, and prepared transactions for multiple servers. Pros: Powerful query editor with intelligent code completion. Built-in version control (Git integration). month or $99.99/year
If a consumer is only interested in production titles and format, they can set a FieldMask with paths “title” and “format”: [link] Masking fields Please note, even though code samples in this blog post are written in Java, demonstrated concepts apply to any other language supported by protocol buffers. Field names are not included.
focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Dynatrace Extensions 1.0 Extensions 2.0
ActiveGate acts as a secure proxy and compresses and routes observability signals in an optimized manner to Dynatrace servers. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes. Data is integrated seamlessly with Kubernetes topology.
Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. Windows: Windows Server 2004. Windows: Windows Server 1903. Windows: Windows Server 1909. Sometimes the Python virtual machine crashes. Extension-specific advisory. x – 2.12.x.
Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Dynatrace OneAgent® is perfectly capable of automatically injecting and tracing code-level information for many technologies, such as Java,NET, Golang, and NodeJS.
Overprovisioned servers lead to CPU and memory waste, creating inefficient usage and increasing costs. Right-sizing matches server to workload performance and capacity requirements at the lowest possible cost. Modernize the application, containerize the application, and refactor the code. Right-sizing infrastructure. Repurchase.
Anything you want to do on a web server, you can do with PHP. Here are some statistics: PHP now accounts for about 79% of the server-side programming used on the Internet. for ASP.NET, which is a web framework, and 4% for Java. Overhead is reduced for PHP code of all complexity, as shown by these simple PHP executions.
The open-source scripting language PHP is used by over 78% of all websites that use a server-side programming language. Lack of context —most vulnerability scanners don’t provide runtime context and key information like whether vulnerable code is used at runtime. Dynatrace news. Automatic PHP application security with Dynatrace.
Traditional APM-only solutions care about performance and errors, capturing only the metadata relevant to IT-centric analyses; transaction IDs, error codes, geography, and usernames are examples. They can also be derived from server-side request attributes—for example, from a Java method argument. Verify the new properties.
Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data). The image below provides an overview of our sample application’s architecture: An incoming client request to the server implementation leads to an outgoing HTTP request. TCP Server. // Start TCP server.
So, you start your investigation on the frontend server service which shows an increased failure rate with every second request failing for a couple of hours. When selecting the cart-checkout service in PurePath view, you see that the service fails with an internal server error. Your feedback is highly appreciated. What’s next.
As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. Java #Python #C Click To Tweet. use with PostgreSQL.
Just a single OneAgent per host is required to collect all relevant monitoring data, all the way down to specific lines of code. OneAgents are optimized to send data to the Dynatrace servers with the smallest possible impact, querying the metrics every minute, and the data is a first-class citizen for the Dynatrace AI root-cause analysis.
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.
OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. Projects could range from relatively small software components, such as general-purpose Java class libraries, to major systems, such as Kubernetes for container management or Apache’s HTTP server for modern operating systems.
We are already working on the support for SUSE Linux Enterprise Server (SLES) which we will be announcing shortly. In particular, the following capabilities are included in this release of OneAgent for Linux on Z platform: Deep-code monitoring. Full-stack and cloud-infrastructure monitoring modes.
We had several goals in mind when trying to improve the baking methodology: Configuration as code Leverage Spinnaker for Continuous Delivery Eliminate Toil Configuration as Code The first part of our new Windows baking solution is Packer. We now have the software and instance configuration as code.
On Titus , our multi-tenant compute platform, a "noisy neighbor" refers to a container or system service that heavily utilizes the server's resources, causing performance degradation in adjacent containers. A Noisy Neighbor Story Below is the runq.latency metric for a server running a single container with ample CPU overhead.
AWS Fargate is the exception to this rule: with the AWS serverless compute engine, paired with Dynatrace intelligent observability for Kubernetes, customers can forgo the complex burden of managing and monitoring their own server infrastructure. and Golang containers.
Do you provide support for application technologies from ABAP through Java to HANA ? Dynatrace infrastructure monitoring works for dozens of SAP customers in the monitoring of servers, networks, and cloud platforms. Monitoring SAP ABAP user experience at the T-Code level. How about SAP hosted on private and public clouds ?
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content