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Did you always want to know more about instrumentation, metrics, and your options for coding with open standards? Are you a Java developer and looking for a working example to get started instrumenting your applications and services?
Because opensource software (OSS) is taking over the world, optimizing opensource contributions is becoming an essential competitive strategy. OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. However, opensource is not a panacea.
By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now opensource. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem.
These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. Of these open-source observability tools, one stands out. Then, Google made the OpenCensus project opensource in 2018.
Cloud-native technologies and microservice architectures have shifted technical complexity from the sourcecode of services to the interconnections between services. Deep-code execution details. You get code-level insights into application code without code changes. Dynatrace news.
Licensing, Security, and Support Free vs. Paid: Is the tool free, open-source, or does it require a license or subscription? Community Support: For open-source tools, is there an active community for troubleshooting and support? Opensource with a thriving third-party dependency development ecosystem.
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.
Opensource has also become a fundamental building block of the entire cloud-native stack. While leveraging cloud-native platforms, open-source and third-party libraries accelerate time to value significantly, it also creates new challenges for application security.
Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. To achieve high reliability, one needs to keep a wary eye on the code quality of projects developed for this area. It is an open-source framework for distributed processing of large amounts of data.
Opensourcecode, for example, has generated new threat vectors for attackers to exploit. A case in point is Log4Shell, which emerged in late 2021 and exposed opensource libraries to exploitation. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog.
The unstoppable rise of opensource databases. One database in particular is causing a huge dent in Oracle’s market share – opensource PostgreSQL. See how opensource PostgreSQL Community version costs compare to Oracle Standard Edition and Oracle Enterprise Edition. What’s causing this massive shift?
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.
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. Because it’s opensource, OpenFeature eliminates the need for organizations to build their own proprietary SDKs and APIs.
OpenLLMetry, an opensource SDK built on OpenTelemetry, offers standardized data collection for AI Model observability. The opensource OpenLLMetry SDK, built atop OpenTelemetry, enables thorough insights into your Large Language Model (LLM) applications. Maintained under the Apache 2.0
In cloud-native application stacks, everything is code. Dynatrace entered the Application Security market with automatic and continuous protection for Java workloads. The latest enhancement enables our customers to automatically detect and assess open-source and third-party vulnerabilities in Node.js
Opensource vulnerabilities creeping in through the software supply chain are one key reason for this substantial increase. According to one survey, supply chain attacks on opensource software increased 650% in 2021. And in the supply chain, opensource is clearly a vulnerability.
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 sourcecode. Thus, measuring application performance becomes an unnecessarily frustrating coordination effort between teams.
Application security is a software engineering term that refers to several different types of security practices designed to ensure applications do not contain vulnerabilities that could allow illicit access to sensitive data, unauthorized code modification, or resource hijacking.
No trials, no license purchases – just the tools you need to delve behind the scenes of your code execution. What Are Java Profilers? A Java Profiler is a tool that monitors Java bytecode constructs and operations at the JVM level. They all come for a very affordable price: free.
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).
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.
To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. 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.
Although IT teams are thorough in checking their code for any errors, an attacker can always discover a loophole to exploit and damage applications, infrastructure, and critical data. Malicious actors can execute any code on the attacked system, for example, to access sensitive configuration data.
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.
This information specifies which function in the sourcecode relates to a vulnerability. Vulnerable function monitoring Tracking vulnerable opensource software components efficiently is one of the most important pillars of managing attack surfaces. The vulnerable function in the software package is highlighted in red.
We at Dynatrace understand the importance of contributing our expertise in enterprise-grade intelligent observability to the opensource community. I worked on providing code-level insights for Java and.NET services and applications before shifting gears and joining the OpenTelemetry community back in May 2019.
Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. Dynatrace news. Contextual insight.
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. NET, and now PHP—all on a single platform.
NET , Java , JavaScript/Node.js , and Python. Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace open analytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. Sergey Kanzhelev (Google). Join the community and contribute today.
Gartner has estimated that 70% of new cloud-native application monitoring will use opensource instrumentation by 2025. Users can add the APIs manually to their code to define exactly what needs to be measured and monitored continuously after the code is deployed for maintenance purposes. ” Extended visibility.
The green frames are the actual instructions running on the AI or GPU accelerator, aqua shows the sourcecode for these functions, and red (C), yellow (C++), and orange (kernel) show the CPU code paths that initiated these AI/GPU programs. A flame graph is a visualization I invented in 2011 for showing sampled code stack traces.
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.
The vulnerability is located in Log4j 2, an open-source Apache Java software used to run logging services in a host of front-end and backend applications. A real-time observability platform with code-level application insights can automatically identify vulnerabilities in runtime and production environments.
To ensure observability, the opensource CNCF project OpenTelemetry aims at providing a standardized, vendor-neutral way of pre-instrumenting libraries and platforms and annotating UserLAnd code. The OpenTelemetry metrics exporters are opensource projects, available on GitHub. Seeing is believing.
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.
As this opensource 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.
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). Often I saw that this is not tested thoroughly or not at all. With Testcontainers , writing integration tests has become a commodity.
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 sourcecode. Code-based solutions require you to manually instrument your code using the OpenTelemetry API.
Organizations that want a high-performance language with a great ecosystem for their applications often use Golang , an open-source programming language. Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data). Dynatrace news.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Avoid lock-in with open-source technologies. Dynatrace news. How Google Cloud Functions works.
Opensource software is likewise playing a larger role in cloud computing, which brings benefits and dilemmas: bad actors have ready access to opensource software and can identify new vulnerabilities to exploit. This means that attackers may have already gained access to sensitive information or compromised the system.
Here at Dynatrace, we take Observability to the next level, by displaying all information in context and adding in code-level details, end-user experience, and entity relationships all while feeding this data into our AI engine, Davis, to produce actionable insights. Java, Python, .Net, These are language-specific (ex.
OpenTelemetry, the opensource observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable. OpenTelemetry is a free and opensource take on observability. Especially if you have custom applications that rely on APIs to integrate with other services.
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