Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. Our Image Processing service makes it easy to do that. The header x-ip: 1 indicates that the image went through image processing and was optimized.

Connecting Robotic Process Automation and Test Automation

DZone

software testing test automation rpa robotic process automation application testingConnecting RPA and Test Automation. RPA and test automation recite completely similar if you haven’t been working combined with both, so how are they different? A lot of things to explain concerning RPA and test automation signify alike, such as quick deliverance, shorter time and cost consuming, accuracy, QA, reduced human interference, and automation.

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Application Performance Review Process

DZone

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. Overview.

How to Establish a Successful Testing Process for Your Product

DZone

Now you need to organize a testing process the right way. Testing is a precise process and each stage of it is extremely important as it can affect the results. Testing has always been a critical factor for delivering bug-free, reliable, and secure products.

In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. Basics of Distributed Query Processing.

Handling Failure in Long-Running Processes

DZone

In the previous posts in this series, we've seen some examples of long-running processes , how to model them, and where to store the state. So how can we ensure that our long-running process doesn't get into an inconsistent state if something fails along the way? First, let's have another looks at the shipping policy defined in the previous post : performance timeouts saga pattern dead letter channel long-running long-running processes retries saga

Push Zone Supports Image Processing

KeyCDN

Push Zones are now seamlessly supporting Image Processing ! The complete feature set of Image Processing is now also available for Push Zones. No commitment: Scale up and down anytime and only pay for the images processed.

Extending relational query processing with ML inference

The Morning Paper

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline.

Top 9 Free Java Process Monitoring Tools and How to Choose One

DZone

To help equip you for the ongoing process of optimization and the life of debugging ahead of you, we’ve gathered a list of the best tools to monitor the JVM in both development and production environments. java open source performance monitoring jvm process java performance process monitoring

How TripleLift Built an Adtech Data Pipeline Processing Billions of Events Per Day

High Scalability

Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. This processing can be summed up as the continuous aggregation and delivery of reporting data to users in a cost efficient manner. This is a guest post by Eunice Do , Data Engineer at TripleLift , a technology company leading the next generation of programmatic advertising. What is the name of your system and where can we find out more about it?

Image Processing supports Watermark!

KeyCDN

We’ve extended our Image Processing service with a new feature: Watermark ! The image overlay process consists of 2 parts: the base image and the overlay image. The base image can still be modified with any image processing command. Overlay Parameters Overview The following parameters have been added to the image processing engine: olurl Defines the URL of the overlay image. In order to use Image Overlay, the feature Image Processing needs to be enabled.

Batch Processing Large Data Sets With Spring Boot and Spring Batch

DZone

Batch processing of data is an efficient way of processing large volumes of data where data is collected, processed and then batch results are produced. Batch processing can be applied in many use cases. One common use case of batch processing is transforming a large set of flat, CSV or JSON files into a structured format that is ready for further processing. Spring Batch provides functions for processing large volumes of data in batch jobs.

Database Migration: Challenges, Need & Process

Simform

The post Database Migration: Challenges, Need & Process appeared first on Insights on Latest Software Technologies - Simform Blog. Adopting emerging technologies have helped businesses in leveraging their overall performance. Database Migration is one of those.

Use continuous testing to supercharge your development process

TechBeacon Testing

As the world has moved toward more automation, so has software testing. But if you run automated tests only at the end of your development cycle, you won't reveal all the possible issues your customers may face.

Making Windows Slower Part 2: Process Creation

Randon ASCII

Windows has long had a reputation for slow file operations and slow process creation. This weeks’ blog post covers a technique you can use to make process creation on Windows grow slower over time (with no limit), in a way that will be untraceable for most users! Process handle leak in one of Microsoft’s add-ons to Windows: Zombie Processes are Eating your Memory. And this one – an odd design decision that makes process creation slower over time.

Zombie Processes are Eating your Memory

Randon ASCII

Zombies probably won’t consume 32 GB of your memory like they did to me, but zombie processes do exist, and I can help you find them and make sure that developers fix them. GB of page/non-paged pool, few processes running, and no process using anywhere near enough to explain where the memory had gone: My machine has 96 GB of RAM – lucky me – and when I don’t have any programs running I think it’s reasonable to hope that I’d have at least half of it available.

Process more with less using smarter cluster overload prevention for Dynatrace Managed

Dynatrace

By vastly increasing the number of PurePaths that are processed by a Dynatrace Managed cluster, your initial sizing considerations for Dynatrace Managed nodes and clusters may however end up being inadequate for supporting such volume. A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. Marcus was instrumental in bringing this functionality to market and all sizing/scaling aspects of PurePath/service processing.

How DevOps Testing can Enhance the Application Development Process?

Kovair

The post How DevOps Testing can Enhance the Application Development Process? We have entered the digital age where technology is flourishing everywhere and is playing an integral role in our lives. Mobile applications are one great. appeared first on Kovair Blog. DevOps Technologies Test Management DevOps Consultants DevOps Implementation Why DevOps gained popularity

Monitoring Processes with Percona Monitoring and Management

Percona

A few months ago I wrote a blog post on How to Capture Per Process Metrics in PMM. Since that time, Nick Cabatoff has made a lot of improvements to Process Exporter and I’ve improved the Grafana Dashboard to match. However, if you have a substantial part of process swapped out because of memory pressure, you would not see it. Especially for processes written in Go, the difference can be extreme. Processes by Disk IO.

Tips to Enhance the Efficiency of Software Testing Process

QAMentor

At present, according to the best software testing companies, there are various automated software testing … The post Tips to Enhance the Efficiency of Software Testing Process appeared first on QA Mentor Blog. Software Testing Test Process & Best PracticesWhen it comes to a software development and testing procedure, a single flaw can prove fatal.

Process Is No Substitute For Culture

Professor Beekums

I love software process. Process can do wonders for that half. Among some of the benefits process can bring to a project are: Ensuring everyone is working on the most important thing Coordinating efforts to distribute work effectively Adding little nudges to improve code quality such as automated testing and code reviews That last bit is where process can become a disaster though

Optimize your QA Process by Integrating qTest and Azure DevOps

Tasktop

Implementing Tasktop as a part of your software delivery process may not save you a trip to the grocery store, but it will help make the most out of your time at the office. . The post Optimize your QA Process by Integrating qTest and Azure DevOps appeared first on Tasktop Blog.

The Digital Twin: A Foundational Concept for Stateful Stream Processing

ScaleOut Software

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. This model offers key insights into how state data can be organized within stream-processing applications for maximum effectiveness. The post The Digital Twin: A Foundational Concept for Stateful Stream Processing appeared first on ScaleOut Software.

The Digital Twin: A Foundational Concept for Stateful Stream Processing

ScaleOut Software

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. This model offers key insights into how state data can be organized within stream-processing applications for maximum effectiveness. Architecture Featured Performance Programming Techniques digital twin Flink ScaleOut StreamServer Spark Storm stream processing

Maximizing Process Performance with Maze, Uber’s Funnel Visualization Platform

Uber Engineering

At Uber’s scale, even a one percent increase in the rate of sign-ups to first trips (the driver conversion rate) carries a … The post Maximizing Process Performance with Maze, Uber’s Funnel Visualization Platform appeared first on Uber Engineering Blog. At Uber, we spend a considerable amount of resources making the driver sign-up experience as easy as possible.

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop

Uber Engineering

With the evolution of storage formats like Apache Parquet and Apache ORC and query engines like Presto and Apache Impala , the Hadoop ecosystem has the potential to become a general-purpose, unified serving layer for workloads that can tolerate latencies … The post Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop appeared first on Uber Engineering Blog.

Integrate Atlassian Jira and Micro Focus ALM: Defect reporting and resolution is a business process

Tasktop

By integrating Atlassian Jira and Micro Focus ALM, you can automate the flow of defects between the two tools to eradicate manual overhead and accelerate the speed and accuracy of the defect reporting and resolution process. With software touching nearly every facet of the omnichannel customer experience, the process is considered a critical business issue. How the long is the process taking?

PostgreSQL Connection Pooling: Part 1 – Pros & Cons

Scalegrid

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It is difficult to fault their argument – as it’s absolutely true that: Each client having its own process prevents a poorly behaving client from crashing the entire database. On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be.

How Tricentis’s Robotic Process Automation (RPA) can accelerate the time to value of your software delivery

Tasktop

The time spent on a repetitive configuration process before completing a purchase order can negatively impact your software product’s time to value. For pre-sales and consulting engineers, this process usually involves repeatedly installing and configuring software to achieve a minimum-viable use case – i.e., meeting minimum requirements to prove that the software works as promised.

MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. It’s used extensively in our media processing platform, which includes services like Archer and runs features like video encoding and title image generation on tens of thousands of Amazon EC2 instances. MezzFS?—?Mounting

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. To fill this need for faster processing and enable quicker results, many organizations consider adopting an MPP database.

SQL Server on Linux: Why Do I Have Two SQL Server Processes

SQL Server According to Bob

When starting SQL Server on Linux why are there two (2) sqlservr processes? The parent process handles basic configuration activities and then forks the child process. The parent process (WATCHDOG) becomes a lightweight monitor and the child process runs the sqlservr.exe process. Hint: Process ids can be reused so do not write scripts looking for the largest process id as the first entry may have a process id larger than the second entry.

KeyCDN Launches Image Processing

KeyCDN

We’re thrilled to announce that we’ve added the Image Processing feature! How Does Image Processing Work? The Image Processing feature is available on all Pull Zones. When the Image Processing setting is set to enabled the Origin Shield setting will be set to enabled and the Ignore Query String setting will be set to disabled automatically. Enabling the Origin Shield setting is required because all image processing will occur at our shield locations.

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PostgreSQL Connection Pooling: Part 3 – Pgpool-II

Scalegrid

The Pgpool-II parent process forks 32 child processes by default – these are available for connection. The architecture is similar to PostgreSQL server: one process = one connection. It also forks the ‘pcp process’ which is used for administrative tasks, and beyond the scope of this post. The kernel directs incoming connections to one of the child processes that have registered as listeners. Now the child process is free to pick up more connections.

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Exploring MySQL Binlog Server – Ripple

Scalegrid

This way, the load on the master is tremendously reduced, and at the same time, the binlog server serves the binlogs more efficiently to slaves since it does not have to do any other database server processing. How to optimize the MySQL index creation process in such a way that your regular workload is not impacted. MySQL does not limit the number of slaves that you can connect to the master server in a replication topology.

Back-to-Basics Weekend Reading - Join Processing in Relational.

All Things Distributed

Back-to-Basics Weekend Reading - Join Processing in Relational Databases. In 1992 Priti Mishra and Margaret Eich conducted a survey on what was achieved until then in Join Processing and described in details the algorithms, the implementation complexity and the performance. Join Processing in Relational Databases , Priti Mishra and Margaret H. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems.

European Union Data Protection Authorities Approve Amazon Web Services’ Data Processing Agreement

All Things Distributed

As you all know security, privacy, and protection of our customer’s data is our number one priority and as such we work very closely with regulators to ensure that customers can be assured that they are getting the right protections when processing and storing data in the AWS. The media alert below that went out today gives the details: European Union Data Protection Authorities Approve Amazon Web Services’ Data Processing Agreement.

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Improving The Accuracy of Quality Assurance With Defect Tracking

DZone

The problem for the organization originates when defect tracking tools and strategies are not embedded in all stages of the development process and are conducted in isolated teams instead of a collaborated team effort. performance development qa quality assurance defect management defect tracking process

European Union Data Protection Authorities Approve Amazon Web Services’ Data Processing Agreement

All Things Distributed

As you all know security, privacy, and protection of our customer’s data is our number one priority and as such we work very closely with regulators to ensure that customers can be assured that they are getting the right protections when processing and storing data in the AWS. The media alert below that went out today gives the details: European Union Data Protection Authorities Approve Amazon Web Services’ Data Processing Agreement.

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

Dynatrace

Improved CPU analysis provides an easily understandable overview of your CPU consumption over time, focused on your workloads, represented as process groups, even if they are clustered over several instances. You can also easily access the details of a specific process group to investigate related infrastructure metrics, log files, or all auto-detected properties like the underlying execution engine (including version), bitness, listening ports, and more of your workload.

Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores. For example, XA transactions block execution if the application process fails during the prepare phase; moreover, XA provides no deadlock detection and no support for optimistic concurrency-control schemes. Online Event Processing.

ScaleOut Software Releases New Video on Real-Time Digital Twins

ScaleOut Software

Architecture Featured Features Performance Products Programming Techniques Technology What's New Azure cloud data-parallel computing digital twin real-time analytics real-time digital twin real-time intelligent monitoring ScaleOut Digital Twin Streaming Service stream processing

Re-Slaving a Crashed MySQL Master Server in Semisynchronous Replication Setup

Scalegrid

The steps above are very tedious if you have to perform them manually, but ScaleGrid’s fully managed MySQL hosting service can automate the entire process for you without any intervention required. Here’s how it works: If your current master crashes, ScaleGrid automates the failover process and promotes a suitable slave as the new master. In a MySQL 5.7