Top 7 Static Code Analysis Tools

DZone

What Is a Static Code Analysis? Static code analysis or Source code analysis is a method performed on the ‘static’ (non-running) source code of the software with static code analysis tools that attempt to highlight potential vulnerabilities. Why Use Static Analysis? Executes quickly compared with dynamic analysis. Now that we are aware of static code analysis, we must know the tools that are already leading the market.

Code 131

Reimagining Experimentation Analysis at Netflix

The Netflix TechBlog

With our new platform for experimentation analysis, it’s easy for scientists to perfectly recreate analyses on their laptops in a notebook. The analysis reports tell us whether or not a new experience made statistically significant changes to relevant metrics, such as member behavior, or technical metrics that describe streaming video quality. Now scientists can easily introspect the data and extend it in an ad-hoc analysis.

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Performance Analysis of ArrayList and LinkedList in Java

DZone

java performance array linkedlist arraylist interview answers performance analysisArrayList and LinkedList are frequently used classes in the Java collection framework. If you know only understand basic performance comparisons of ArrayList and LinkedList , but not the minor details of these two classes, then this article is for you. " ArrayList should be used where more search operations are required, and. LinkedList should be used where more insert and delete operation is needed."

Java 125

Multidimensional analysis 2.0: Analyze, chart, and report on microservices-based metrics without code changes

Dynatrace

Dynatrace customers have the ability to leverage PurePath distributed tracing functionality in driving adhoc multidimensional analysis (MDA) on any kind of data available within their microservices. A larger financial institution is using the analysis to report business metrics on dashboards and make them accessible via the Dynatrace API. To take the multidimensional analysis feature to the next level, we seamlessly combined it with our Calculated metrics capability.

Optimize your applications with 24×7 continuous thread analysis

Dynatrace

Thread dumps are now a thing of the past; the future belongs to 24×7 continuous thread analysis. Identify and solve performance bottlenecks faster with continuous thread analysis. You’ll find this new feature in the CPU profiler at Diagnostic tools > CPU analysis. Continuous thread analysis allows you to automatically identify such behavior. The post Optimize your applications with 24×7 continuous thread analysis appeared first on Dynatrace blog.

Java 111

Multidimensional analysis 2.0: Analyze microservice-based metrics without code changes (Part 2)

Dynatrace

In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis. To start your analysis, select Diagnostic tools from the navigation menu and select Multidimensional analysis. 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. To find out, select the Backtrace button at the top-right corner of the Failure analysis page (see below).

Code 128

Boost application performance with improved CPU analysis across all your deep-monitored workloads

Dynatrace

We’re happy to announce that with Dynatrace version 1.198, we’ve dramatically improved CPU analysis, allowing you to easily understand CPU consumption over time, in the context of your workloads. All deeper analysis actions are performed across the entire timeframe.

An analysis of performance evolution of Linux’s core operations

The Morning Paper

An analysis of performance evolution of Linux’s core operations Ren et al., I was drawn in by the headline results here: This paper presents an analysis of how Linux’s performance has evolved over the past seven years… To our surprise, the study shows that the performance of many core operations has worsened or fluctuated significantly over the years. Analysis. SOSP’19.

A foundational strategy pattern for analysis: MECE

O'Reilly Software

Your longer, more detailed lists should be kept for your private analysis to help you reach your conclusion, or reserved for lists of things to be done in the project, such as a work breakdown structure. It’s more analysis and art than science. If we recommended only the one we already wanted, we would miss the chance to perform the analysis, squander an opportunity for learning that might change or augment our view, and lose confidence in our choice and ability to execute.

Ensure great customer experience with fast analysis of mobile app crashes

Dynatrace

With the release of Dynatrace 1.191, you get an improved mobile-app crash analysis workflow that allows you to see the impact of crashes, identify affected user groups, and—most importantly—get to the root cause quickly. Easily investigate app crashes with the crash analysis dashboard tile. This page shows the most relevant crash numbers and gives you access to a new Crashes section that is fully dedicated to crash analysis and investigation. Symbol files for faster analysis.

Mobile 142

COVID-19 Hazard Analysis using STPA

Adrian Cockcroft

The second technique starts with the system constraints that need to be satisfied to maintain safe and successful operation and works in a top down manner using System Theoretic Process Analysis (STPA), or the more specific technique System Theoretic Accident Model and Processes (STAMP). spta covid19 hazard-analysis coronavirusMemorial at Hawaiian native burial ground, Kapalua, Maui.

Enrich real user session analysis with business and domain data by leveraging session properties

Dynatrace

User session properties can greatly improve your analytics capabilities when using the Dynatrace User Session Query Language (USQL) for analytics that require advanced filtering, such as multiple filters (see the image below) or persistent filtering across analysis views. Capture of user action properties for ad-hoc analysis in multidimensional user action performance analysis. Product news Digital Experience Monitoring user session analysis Version 1.164 What's new

Customize Dynatrace analysis timeframes as never before with the new global timeframe selector

Dynatrace

We call it the “global” timeframe selector because it serves as a time filter that, in most cases, enables you to select a specific analysis timeframe that remains persistent across all product pages and views as you navigate through your analysis. The post Customize Dynatrace analysis timeframes as never before with the new global timeframe selector appeared first on Dynatrace blog. Dynatrace news.

Design 155

Why We Switched from bcc-tools to libbpf-tools for Linux BPF Performance Analysis

DZone

Distributed clusters might encounter performance problems or unpredictable failures, especially when they are running in the cloud. Of all the kinds of failures, kernel failures may be the most difficult to analyze and simulate. A practical solution is Berkeley Packet Filter (BPF), a highly flexible, efficient virtual machine that runs in the Linux kernel. It allows bytecode to be safely executed in various hooks, which exist in a variety of Linux kernel subsystems.

Static Analysis of Java Enterprise Applications: Frameworks and Caches, the Elephants in the Room

The Morning Paper

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., Static analysis is a key component of many quality and security analysis tools. Being static , it has the advantage that analysis results can be produced solely from source code without the need to execute the program. So they would definitely benefit from the kinds of reassurances that static analysis can bring. sound-modulo-analysis.

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Analysis on Group by and Order by Performance

DZone

Recently I found it very slow to perform a sorting task in a log table. After the problem was finally solved, I summarized some experience in the index and MySQL execution process; however, I still have five unsolved problems and I hope that you can help me solve these problems. These problems are related to the following: database performance sql mysql database optimization

A Brief Guide About Competitive Analysis

Smashing Magazine

A Brief Guide About Competitive Analysis. A Brief Guide About Competitive Analysis. In this article, I will introduce the subject of competitive analysis , which is basically a method to determine how well your competitors are performing. It should be useful if you are new to product design, UX, interaction or digital design, or if you have experience in these fields but have not performed a competitive analysis before. But what exactly is competitive analysis?

2019 Black Friday Performance Analysis – Forever 21

Rigor

The post 2019 Black Friday Performance Analysis – Forever 21 appeared first on Production. During Black Friday weekend 2019, fast-fashion retailer Forever 21’s website had an outage that left users seeing a generic error message when they tried to shop the company’s doorbuster deals. As the site recovered from the outage, its performance took a hit, requiring extra time to recover. By taking advantage.

2019 Black Friday Performance Analysis – GameStop

Rigor

The post 2019 Black Friday Performance Analysis – GameStop appeared first on Production. GameStop recognized that it needed to avoid outages by protecting website resources from an overload in traffic on Black Friday. The US-based company prepared for the holiday season by leveraging their CDN to selectively deny site access to certain regions while prioritizing key markets during the critical shopping period.

2019 Black Friday Performance Analysis – Forever 21

Rigor

The post 2019 Black Friday Performance Analysis – Forever 21 appeared first on Production. During Black Friday weekend 2019, fast-fashion retailer Forever 21’s website had an outage that left users seeing a generic error message when they tried to shop the company’s doorbuster deals. As the site recovered from the outage, its performance took a hit, requiring extra time to recover. By taking advantage.

2019 Black Friday Performance Analysis – GameStop

Rigor

The post 2019 Black Friday Performance Analysis – GameStop appeared first on Production. GameStop recognized that it needed to avoid outages by protecting website resources from an overload in traffic on Black Friday. The US-based company prepared for the holiday season by leveraging their CDN to selectively deny site access to certain regions while prioritizing key markets during the critical shopping period.

EuroBSDcon: System Performance Analysis Methodologies

Brendan Gregg

as an analysis target. The video is on youtube : And the slides are on slideshare : FreeBSD has an excellent range of analysis tools, and this was an opportunity to show them off. EuroBSDcon 2017]: [link] [thread state analysis]: [link] [tstates.d]: [link For my first trip to Paris I gave the closing keynote at [EuroBSDcon 2017] on performance methodologies, using FreeBSD 11.1

An analysis of Chromium's paint timing metrics

Speed Curve

My analysis will look at performance data from some popular websites in an attempt to figure out whether the paint timing metrics really do answer that question. However, I’ve chosen to include FCP in this analysis anyway, because I think the data is quite interesting. Doing the analysis. I collated data from one of our test accounts that routinely runs performance tests on 40 of the Alexa top sites, and performed some basic statistical analysis on it.

An In-Depth Explanation of Code Complexity

DZone

tutorial performance software development code analysis code analysis tools code complexity cyclomatic complexity complexity in software development complexity metricsIt's no secret code is a complicated thing to write, debug, and maintain which is necessary for high software quality. Moreover, high code complexity brings with it a higher level of code defects, making the code costlier to maintain.

Code 158

Deeper performance analysis with histograms and correlations

Speed Curve

This week we've made some pretty exciting new changes to your Favorites dashboards. Aside from a brand-new chart editor interface, you'll also notice that we've introduced two new chart types: histograms and correlations. In this post, I'm going to talk through some of the features in our new chart editor.

Why I hate MPI (from a performance analysis perspective)

John McCalpin

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? For very simple codes, it may be possible to do a high-level analysis on performance limitations, but once the code becomes complex, it is often necessary to investigate the full stack.

2019 Black Friday Performance Analysis – New York & Company

Rigor

The post 2019 Black Friday Performance Analysis – New York & Company appeared first on Production. New York & Company quickly caught and resolved a site outage during the 2019 kick-off to the holiday shopping season (Black Friday through Cyber Monday). The bigger issue was how long it took the ecommerce site to fully recover for shoppers eager to get deals on the brand’s clothing and.

2019 Black Friday Performance Analysis – New York & Company

Rigor

The post 2019 Black Friday Performance Analysis – New York & Company appeared first on Production. New York & Company quickly caught and resolved a site outage during the 2019 kick-off to the holiday shopping season (Black Friday through Cyber Monday). The bigger issue was how long it took the ecommerce site to fully recover for shoppers eager to get deals on the brand’s clothing and.

Big / Bug Data: Analyzing the Apache Flink Source Code

DZone

java programming bigdata static analysis open souce apache flink static analysis tools static analyzerApplications 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. To achieve high reliability, one needs to keep a wary eye on the code quality of projects developed for this area.

Code 139

I/O Waiting CPU Time – ‘wa’ in Top

DZone

tutorial performance cpu operating systems performance engineering linux operating system root cause analysis memory analysis unix operating system cpu usageCPU consumption in Unix/Linux operating systems is broken down into 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In this article, let us study ‘waiting CPU time’.

7 Ways to Capture Java Heap Dumps

DZone

java performance heap dump heap dump analysis java monitoringHeap Dumps are vital artifacts to diagnose memory-related problems such as slow memory leaks, Garbage Collection problems, and java.lang.OutOfMemoryError.They are also vital artifacts to optimize the memory consumption. There are great tools like Eclipse MAT and Heap Hero to analyze heap dumps. However, you need to provide these tools with heap dumps captured in the correct format.

Java 190

Three key checklists and remedies for trustworthy analysis of online controlled experiments at scale

The Morning Paper

Three key checklists and remedies for trustworthy analysis of online controlled experiments at scale Fabijan et al., Despite their great power in identifying what customers actually value, experimentation is very sensitive to data loss, skipped checks, wrong designs, and many other ‘hiccups’ in the analysis process… Bad data can be actively worse than no data, making practitioners blinded with pseudoscience. Experiment design analysis checklist.

9 Excellent Methods to Prioritize Your Work

DZone

productivity and technology performance analysis productivity apps performance and scalabilityThe ‘prioritize your work’ agenda often comes with its fair share of roadblocks. As a result, you may find a hard time juggling several important tasks at the same time. This, in turn, often becomes a recipe for disaster. Nowadays, you can try to be productive in your personal life by using any productivity app available on your mobile device.

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YOW! 2018 Cloud Performance Root Cause Analysis at Netflix

Brendan Gregg

Conference Australia 2018 tour I had the opportunity to deliver a keynote talk about performance analysis at Netflix. For the YOW! I summarized the Netflix stack and explained how we examine performance problems cloud-wide, and then how we can drill down to instances using flame graphs and other tools. In some ways it is like a 60 minute boot-camp for new hires (if you're about to start work at Netflix, or just did, you should find it valuable).

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How To Handle 100k Rows Decision Table in Drools (Part 1)

DZone

drools performance analysis decision table modeling drools business rules engineIntroduction. When handling large rows of decision tables, one of the biggest pains is performance. In this article, I prepared a prototype setup to a simple scenario to simulate the large decision table use case and provided three solutions to utilize drools (a rules-oriented application framework). I focus on the decision table rule execution performance.

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. The post Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power appeared first on ScaleOut Software. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

51 Best Tools for Small Businesses in 2020 (Free and Inexpensive)

DZone

performance productivity and technology performance analysis productivity apps performance and monitoring toolsIt is an exciting thing to start your small business or to work for one. However, working without modern tools at your disposal can render your performance to a slow halt.

nice CPU Time – ‘ni’ Time in top

DZone

However, using the ‘nice’ command, super users (like ‘root’) can set the priority for the processes as shown below: unix-linux performance root cause analysis unix operating system cpu cache cpu memory usage cpu optimization cpu usageCPU consumption in Unix/Linux operating systems are studied using 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time.

Data Democratization and How to Get Started?

DZone

big data performance data data analytics business intelligence data democratization analyics data analysis dashboardToday data is an important factor for business success. In every business, it has been observed that data is playing a game-changing moment to improve business performance. Data is important and necessary in this increasingly competitive world.

Getting Rid of Performance Testing Outliers With a New JMeter Plugin

DZone

performance performance analysis performance and testing jmeter plugins outlier detection performance statisticsIntroduction. Whether we like it or not, outliers happen in our daily lives! For instance, it can be a mansion that sells in your neighbourhood for a price three to four times higher than the average house price. In the workforce, it can also be a few professionals earning very high salaries when compared to the rest of the employees.

Different CPU Times: Unix/Linux ‘top’

DZone

tutorial performance linux operating system root cause analysis memory allocation software integration unix operating system cpu memory usage cpu optimization idle timeCPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. Let’s review each of the CPU time in this article.

Software Interrupt Time – ‘si’ Time in top

DZone

Software interrupts can be triggered because of the following events: tutorial unix-linux performance cpu operating system root cause analysis unix operating system linux os cpu memory usage cpu optimizationCPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , Stolen CPU time.