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To pinpoint the exact requests that are failing, the e-commerce team filters by excluding successful HTTP 200 status codes. stay tuned for more enhancements and features. The team filters further by the “/cart/checkout endpoint” attribute value. This refinement reveals that only a few requests are failing. This is just the beginning.
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. This blog post dissects the vulnerability, explains how Struts processes file uploads, details the exploit mechanics, and outlines mitigation strategies.
Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.
Modern infrastructure needs to be elastic and GitOps approaches are used to automate the provisioning of infrastructure and applications using Git, an open-source control system that provides the change processes including reviews and approvals. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.
Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. Monitoring-as-code requirements at Dynatrace.
You may also like: How to Properly Plan JVM Performance Tuning. While Performance Tuning an application both Code and Hardware running the code should be accounted for. Reduce the amount of code in critical sections. Ensure there is enough RAM to hold your java process. Thread Contention.
Be sure to fine-tune the anomaly detection settings for your mobile app so that you can focus on those anomalies that are most relevant to the experience of your end users. When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions.
Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This process can also be used to track the provenance of increments.
The green frames are the actual instructions running on the AI or GPU accelerator, aqua shows the source code for these functions, and red (C), yellow (C++), and orange (kernel) show the CPU code paths that initiated these AI/GPU programs. The gray "-" frames just help highlight the boundary between CPU and AI/GPU code.
Application performance Review (also known as Application Performance Walkthrough or Application Performance Assessment) is the process of review of an existing application (in production) to evaluate its performance and scalability attributes. The performance characteristics of the application are determined by its architecture and design.
by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.
Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.
Automatic failure detection works well in most cases especially for web services and when developers follow good coding practices. It is basically an exception which the code doesn’t expect to occur and therefore doesn’t deal with. For instance, if I expect a “dataValidationException”, the code would look like this: Try. {.
Hint: To simplify the process of sharing your analysis with team members, you can copy and share the page URL with your payment service team. Stay tuned for Part 3 of this blog series in which you’ll learn how to: Create custom metrics and be alerted on them by pinning them to your Dynatrace dashboard with a single click.
In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. Once we have that data, we can move on to the next steps in the process. Once we have that data, we can move on to the next steps in the process.
Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.
Are you uneasy about application security when government agencies and other organizations crowdsource code? Episode 55 of Tech Transforms tackles these security reservations about open source code. During his discussion with me and Mark Senell, Dr. Magill explains how government agencies can securely use open source code.
However, you can simplify the process by automating guardians in the Site Reliability Guardian (SRG) to trigger whenever there are AWS tag changes, helping teams improve compliance and effectively manage system performance. tag.change” ` ` ` You should see log entries confirming the successful execution of your guardian process.
DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.
IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?
The shift-left approach aims to ensure bugs and other issues are discovered and addressed early in the development process, leading to improved software quality and lower costs associated with late-stage troubleshooting. Today, engineers are spending an increasing amount of time developing and testing code in production-like environments.
This process, known as auto-adaptive thresholding, eliminates the need to define a static threshold upfront. To provide automated feedback for developers, the concept of quality gates for static code analysis in continuous integration is widely adopted throughout the industry.
At the same time, open source software (OSS) libraries now account for more than 70% of most applications’ code base, increasing the risk of application vulnerabilities. Static application security testing (SAST) analyzes code for common security coding errors. This reduces false positives in your DevSecOps process.
Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.
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.
Web application security is the process of protecting web applications against various types of threats that are designed to exploit vulnerabilities in an application’s code. Modern applications, on average, comprise 70% of open-source software, the rest being custom code. And open-source software is rife with vulnerabilities.
So when people hear me explain things, it’s this process of convincing myself I completely understand it.”. There are stakeholders, dependencies, and end-users throughout the process. Infrastructure as code vs infrastructure as data. As a result, teams can automate more processes in their software development lifecycle.
Baking Windows with Packer By Justin Phelps and Manuel Correa Customizing Windows images at Netflix was a manual, error-prone, and time consuming process. We looked at our process for creating a Windows AMI and discovered it was error-prone and full of toil. Last year, we decided to improve the AMI baking process.
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.
It shows which code paths are more busy on the CPU in given samples. The kubectl-flame container has the hostPID option enabled, and this provides visibility of the underlying Kubernetes node process ID namespace to collect system events from running processes on the host. ✔ Launching profiler. ✔ Profiling.
To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written.
This means, you don’t need to change even a single line of code in the serverless functions themselves. This example shows that the checkout function running in the EU-Central-1 region processes between 20 and 80 invocations per minute. So please stay tuned! Automatic, cold-start detection for every Lambda invocation.
By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns. It helps the compiler optimize code paths that are frequently executed while avoiding unnecessary optimizations for less-used paths.
Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. of PostgreSQL users are currently in the process of migrating to the RDBMS, according to the 2019 PostgreSQL Trends Report , an astounding percentage considering this is the 4th most popular database in the world.
Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars.
How to assess an environment’s security posture, risk and threat profile, and possible attack vectors, where perhaps you didn’t code the application or build the infrastructure, and where new code is deployed frequently, and the infrastructure is constantly changing? Challenge: Monitoring processes for anomalous behavior.
I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. If during the ticket handling another alert is raised this process repeats – but maybe with a different set of people who are working in parallel. Problem type analysis. Lessons learned.
Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.
Weaving DevOps and the related disciplines of DevSecOps and AIOps tightly into the development process can also accelerate the process. These reduce the need to hire specialists while providing a unified view of processes and infrastructure that make SRE more focused and effective. Design, implement, and tune effective SLOs.
This file is automatically configured with working defaults, but it can be easily modified using a code editor such as VS Code. From here we jump directly into Dynatrace Distributed traces view, shown below, to understand code-level contributions to total processing time. A look to the future.
Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. Let’s dive into how these metrics and DevOps KPIs can help your team perform better and deliver better code. Lead time for changes measures the amount of time it takes for committed code to get into production.
This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.
Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. After completing this two-step process, a ready-to-use guardian is created.
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