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As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. Ahem, Slow!
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. Dynatrace news. Always-on profiling in transaction context. Upgrade OpenTracing instrumentation with high-fidelity data provided by OneAgent.
All-new Dynatrace code-level vulnerability detection All-new Dynatrace code-level vulnerability detection evaluates all requests passing through your applications to identify vulnerabilities. The deep insights into application code provided by OneAgent® help track potentially vulnerable data flow within an application.
Solution : Use optimized methods to access / query for specific data, e.g.: getNodeByType resulted in 98% reduction of CPU usage, better performance, returned high availability and reduced operational costs. It can be your own code, 3 rd party code or your runtime that executes for certain tasks such as Garbage Collection.
CVE recently published three new critical vulnerabilities in the Java Spring Framework, including one called Spring4Shell. Many applications are potentially affected, as Spring dominates the Java ecosystem , with 60% of developers using it in their main Java applications. This article was co-authored with Robin Wyss.
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. available, and more are in the pipeline.
Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals. Spring Boot Overview One of the most popular Java EE frameworks for creating apps is Spring.
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.
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.
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. It prevents your application from fully leveraging the available CPU. Dynatrace news.
Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. Host-performance measures.
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. All improvements are available with OneAgent version 1.217. Leverage the latest improvements today.
At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. We decided to move one of our Java microservices?—?let’s Drilling down into “hot” methods and further into the assembly code showed us blocks of code with some instructions exceeding 100 CPI, which is extremely slow.
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.
They enable product delivery and SRE teams to turn functionality on and off at runtime without deploying new code. This decoupling of code deployment from feature release is a crucial enabler for modern Continuous Delivery practices. Proprietary SDKs create adoption challenges. SDKs are lightweight, developer friendly, and flexible.
DevOps teams, SREs (site reliability engineers), platform teams, and SecOps teams aren’t always working from a common source of truth: SAST tools (static application security testing) provide scanning code for vulnerabilities. Dynatrace extends its Runtime Vulnerability Analysis to Go on top of Java ,NET , Node.js How to get started.
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.
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.
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.
We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). For details on available metrics, see our help page on host performance monitoring. Dynatrace news.
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.
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. Here’s how it works. of Micrometer.
In cloud-native application stacks, everything is code. Dynatrace entered the Application Security market with automatic and continuous protection for Java workloads. and Java are the most popular languages within Kubernetes environments. Automatic vulnerability detection for Kubernetes platform versions. Next steps.
While in classic bare-metal stacks CPU resources are made “available” through over-provisioning, in modern SaaS environments you only pay for those CPU resources that you use—no over-provisioning of resources is required. Fully automated code-level visibility. Easily identify and analyze your most impacting workloads.
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. There are two versions available: v1alpha1 : apiVersion: opentelemetry.io/v1alpha1 spec.containers[*].name}'
Compare PostgreSQL vs. Oracle functionality across available tools, capabilities and services. Not available. Not available. Not available. Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Compare Functionality.
As a member of the Platform Extensions practice I am one of the subject matter experts responsible for all services related to expanding the visibility of Dynatrace into technologies which aren’t available out of the box. For this blog post I want to focus on how you can leverage Dynatrace to get a lot of insight into your plugin code.
Teams are embracing new technologies and continuously deploying code. But what if you could see what’s running in production in real-time, continuously analyzing all services for vulnerabilities, and prioritizing those based on what code is called? They also can’t provide deep insights unless you have source code access.
Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Thus, measuring application performance becomes an unnecessarily frustrating coordination effort between teams.
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.
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.
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.
The span attributes emitted for the conversionRequest include the HTTP 400 status code, which tells us that, due to too many requests to the service, throttling has kicked in, causing the service failures and user frustration. Beginning with Dynatrace version 1.216, trace ingest is available in a Preview release (registration required).
But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. Laifenfeld argued that developers shouldn’t bear the burden of the additional workload when their focus is their code: “Learning Kubernetes as a developer is not easy,” she said.
On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service. Java…Script?
There are kfuncs available to lock and unlock RCU read-side critical sections. Our metrics show that the noisy neighbors were actually system processes, likely triggered by container2 consuming all available CPU capacity. However, the cgroup information in the struct is safeguarded by an RCU (Read Copy Update) lock.
They are part of continuous delivery pipelines and examine code to find vulnerabilities. There is another critical element that needs to be addressed: how do you protect applications against attacks exploiting vulnerabilities while DevSecOps teams simultaneously try to resolve those issues in the code ? How to get started.
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. To handle N parallel requests, N Lambda instances need to be available, and AWS will spin up up to 1000 such instances automatically to handle 1000 parallel requests.
Signed and immutable container images are available for the entire Dynatrace observability stack. This process involves a few steps: Query public registry on latest OneAgent, code module, and ActiveGate tag information Copy container image to private registry Check that the images are valid and secure.
In addition to requiring a high degree of custom coding, feature flags can rapidly accrue technical debt that can be opaque to diagnose. Using scripting tags, feature flags work without having to deploy new code. Deploy code without releasing it to end users such as new functionality hidden by default behind a feature flag.
As you may agree, it is important to test your code. The resilience patterns implemented in your application are code (even if they're just a bunch of annotations). The library is available on Maven Central and Github for everyone. Often I saw that this is not tested thoroughly or not at all.
Another nifty Session Replay feature is the ability to capture custom events—events that are not typically captured by default—irrespective of whether the codebase is Java or Kotlin. By examining the specific actions that a user took and the outcome, teams can trace errors back to features or code and address the root causes.
This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. We introspect these custom error codes from the response and emit them to our metrics server, Atlas.
The supported programming languages for PostgreSQL include.Net, C, C++, Delphi, Java, JavaScript (Node.js), Perl, PHP, Python and Tcl, but PostgreSQL can support many server-side procedural languages through its available extensions. We found that Java is the most popular programming language for PostgreSQL, being leveraged by 31.1%
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