Sometimes it can be hard to find that odd dependency in your project that is causing you some headaches. In this article I describe one of these cases and how we resolved the issue.
As part of our strive to improve security we recently decided to add authentication to some of our docker containers. We use Traefik, and I found this great blog: “Integrating Google OAuth with Traefik” that uses the project, “Traefik Forward Auth”, to add Google authentication for Traefik.
I know many people have never heard of ColdFusion but it is still a fairly well used programming language for some very large sites. At nerd.vision we are happy to announce that we now support Adobe ColdFusion. Installing nerd.vision in a Adobe ColdFusion platform is as simple as other agents, we simple need to be added to the jvm.config file for the server. We have complete documentation available on our docs site https://docs.nerd.vision/coldfusion/install/.
With nerd.vision you can quickly change or create log messages without restart. Reducing your mean time to recovery (MTTR).
Java buffer pool memory space is a non-managed memory space located outside of the garbage collector-managed memory. To better understand the Java buffer pool memory space, we would first learn the basics about buffer memories.
Coming from a conventional programming background, AJAX was a bit strange to me at first. But trust me, it seems to exist as a handy plugin when it comes to asynchronous and real-time database manipulations. Matter of fact, it happens to be one of the most notable add-ons to the web development toolset, since the rejuvenation of the modern frontend tools. While the existing workaround to data processing within a web app was to filter in all processes into a thread – in a nutshell, synchronous. AJAX came along with an even better approach to handle database operations without waiting in the thread queue by creating its own thread - or some sort of sub-thread to handle its operations.
Frameworks are straightforward representations of a programming language, as they are easy to learn and get the job done in no time. However, excessive use of these development tools often eradicates one’s chances of getting the real deal – learning the language with a much more comprehensive overview. Think of it as going to college, only you never really get the thrill of it because you were homeschooled.
How we implemented theming with Angular Material from the ground up to create custom themes that requires nothing more than one file.
Usage of MockBean annotation and getMock with KotlinTest while testing Micronaut.
An important find when learning kotlintest, related to the way the tests need to be structured when use mocks and verification.
A small guide to pacman and fixing some issues revolving around pacman-mirrors and system updates for Manjaro Linux.
Introducing integrations in nerd.vision, pipelines allow you to be notified when ever a Tracepoint it triggered.
A quick guide to setting up laradock and JetBrains idea to run and debug unit tests.
Configuration of laradock to help with local development of PHP using JetBrains Idea IDE as a debugger.
A short introduction to some of the practises we adopted as a company to improve our front end testing and coverage
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Observability has become an essential practice, especially for DevOps teams. Apparently with the rise of new techs and approaches like the cloud, microservices, serverless, containers and more they are pushing software speed to the highest while reducing friction in getting code to production. They are also creating complex systems. Therefore systems and software need to be observable. Observability is being able to ask questions about what your software or systems are doing and get answers about what they are doing. So different from metrics, alerts, traces, logs or monitoring, it’s more than just knowing if something is up or down, it's able to say; the software’s are doing these specific actions, and this is what we can do to make them better. Today’s post is about everything you need to know about observability. We aren’t looking to bore you with endless writing about the latest buzzword in DevOps, but we are going to highlight the most relevant answers about observability.
Technical debt is very similar to financial debt in that software developer’s use when talking about the extra costs associated with changing a system’s codebase and architecture. It can involve debugging code or revising requirements for a weak design or aging third-party library. Technical debt is significant to most organizations using software to run their business as it costs time as well as money. Gartner estimated that the sum amount of technical debt worldwide reached $1 trillion in 2015 and could double its figure in the coming years. With this in mind, let’s look at what technical debt is and a few reasons why technical debt is becoming increasingly important.
We use Kafka's Streaming API and Avro a lot in the backend of nerd.vision. When it comes to stream processing testing is - who would doubt that - an important factor. As I am a big fan of Spock it was no question to check how it can help us testing our stream processing.
Even though I'm in danger of talking about things that have already gotten around, I'd like to briefly talk about the suppress operator of the Kafka Streams API and a surprise we encountered when we first used it.
The rubber duck has been a serenely caring partner for many programmers all over the world. Despite the funny phrase and initially bizarre concept—rubber duck debugging is a well-known programming practice used by both veteran and novice programmers, often used to crack the problem encountered with their code. Despite the usefulness of the rubber duck, it’s gradually becoming an outdated programming practice, and soon enough, many developers will be switching to something more efficient.
Debug your applications like never before. With NerdVisions automated debugging, gather data from your applications automatically when you need it most.
In this webinar, we will show you how you can dynamically debug production issues without a restart or redeploy of your application using Datadog and the direct Datadog debugging integration from NerdVision.
In this video, we are going to debug a Python app in Docker using NerdVision. We are going to give you everything you need to get started using NerdVision. Download Docker Desktop: https://www.docker.com/products/docker-desktop Sign up for NerdVision: https://www.nerd.vision/signup Gitlab repository: https://gitlab.com/nerd-vision/nerdulator/python Command to run your docker container: docker run -d -p 9998:9998 -e NV_API_KEY=yourapikey nerdvision/nerdulator:python
NerdVision is exited to announce the release of a Datadog Marketplace integration. Combining the dynamic data gathering of NerdVision with the analytics and alerting in Datadog.
Press Release: Intergral announces AWS Lambda support on its next-gen NerdVision debugging platform. The company empowers IT engineering development and operations teams to reduce the mean-time-to-repair (MTTR), improve service quality, and improve SLAs through a platform built for today’s distributed and fast-moving IT environment. AWS Lamba joins Java, Node, Python, and ColdFusion as programming languages supported by NerdVision.
A quick introduction to using nerd.vision with command box and the command box module.
All Developers/Operations team members know the pressure and stress of finding and fixing a critical issue in their code or infrastructure. When dealing with issues, they often enter panic mode to try and get the issue resolved as soon as possible. While this can yield positive results, it can also lead to mistakes. Two frequent traps we fall into when in panic mode are: The quick fix - you cut some corners so that everything starts working again, promising to fix those tests or perform that extra step laterMaking too many changes - you implement several fixes at once, then have to figure out what change fixed the issue
A guide to configuring nerd.vision to automatically run when your Docker container starts.
You can see how to install and configure nerd.vision in our useful video we also have details and code in our getting started with nerd.vision blog.
The nerds at NerdVision have been working hard to get you the latest in debugging. We are excited to annouce the new debugger is now available!
A quick introduction to using nerd.vision with command box and the command box module.
Introducing integrations in nerd.vision, pipelines allow you to be notified when ever a Tracepoint it triggered.
I've found an issue in development. Let’s use the nerd.vision debugger with the project on my computer to see what could be wrong.
A quick guide to getting nerv.vision up and running in Node.js
Are you getting started with Node.js? What is the best way to debug your node apps?
By following the steps in this blog post you will be able to install and configure nerd.vision so you are able to debug your Java application.
In my role as a technical support engineer, I have seen all manner of escalations. They can come in the form of; A performance bug in the productA corner case issue you wouldn't consider a user hitting a service being offline that the product depends onA third party library the product depends on being upgraded many more! From a support engineer's perspective, here are a few tips I have learned over the years on how to approach an escalation.
An example using conditional breakpoints to find a corner case in our test application.
COVID created massive acceleration in digital transformation throughout the world. This article explores what the future of education and digital infrastructure services could look like and how this will change learning for future generations.
In this video, we are going to debug a Python app in Docker using NerdVision. We are going to give you everything you need to get started using NerdVision. Download Docker Desktop: https://www.docker.com/products/docker-desktop Sign up for NerdVision: https://www.nerd.vision/signup Gitlab repository: https://gitlab.com/nerd-vision/nerdulator/python Command to run your docker container: docker run -d -p 9998:9998 -e NV_API_KEY=yourapikey nerdvision/nerdulator:python
Angular Resolvers can be thought of as “step-in” code that can be called before the Angular Router activates your component to resolve anything your component might/should have on load.
In this blog post we talk about sinking data from Confluent Cloud to Elastic Cloud without the need for calling Elastics REST API directly.
Recently we started moving some of our services to use Google Cloud Functions. During the move, we decided to try out Google Firestore for our database. Here are some of the basics of using Firestore.
Some tips and tricks for beginning to understand and use flex with angular
NerdVision now officially supports ColdFusion Markup Language for both Adobe ColdFusion and Lucee!
Today we are pleased to announce that NerdVision officially supports Lucee!
As part of our strive to improve security we recently decided to add authentication to some of our docker containers. We use Traefik, and I found this great blog: “Integrating Google OAuth with Traefik” that uses the project, “Traefik Forward Auth”, to add Google authentication for Traefik.
With nerd.vision you can quickly change or create log messages without restart. Reducing your mean time to recovery (MTTR).
How we implemented theming with Angular Material from the ground up to create custom themes that requires nothing more than one file.
A small guide to pacman and fixing some issues revolving around pacman-mirrors and system updates for Manjaro Linux.
A quick guide to setting up laradock and JetBrains idea to run and debug unit tests.
Configuration of laradock to help with local development of PHP using JetBrains Idea IDE as a debugger.
A short introduction to some of the practises we adopted as a company to improve our front end testing and coverage
How we separated our Avro schemas using the Maven Avro plugin.
UI/UX strategies for guiding users through nerd.vision
Some important information to know when using Avro with Maven and Java.
Converting Json to Avro while only maintaining a single definition of a model used in the REST API and Kafka streams.
When using Jacoco for test coverage, there are some circumstances where code is not covered unexpectedly. This blog covers Jacocos interaction with constant utility classes in Java.
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We encountered an issue where IndexedDB did not connect, this is how we solved it.
Many programming languages allow for multithreading and multiprocessing as a means of parallel execution of code. This form of programming allows for tasks to be split into groups of tasks that can be executed concurrently. This can lead to faster execution times for tasks that are not blocked by other operations. There are however several advantages and disadvantages to this form of programming.Multithreading and Multiprocessing can allow for better performance when executing certain operations. There are many different forms of multithreading and multiprocessing implementations, it is important to know the limitations of each implementation and to consider such things as: number of processors (or threads) that are available when the code is runningthe duration and number of tasks that are being executed
A guide to Object Oriented Programming (OOP).
Java and Python are high-level programming languages based on Object-oriented paradigm. But which is better for each situation?
Containers are fast becoming an adapted technology in computing today. But they aren't a magical fix for all issues.
Recently we changed to use an AWS NLB so we could use gRPC and HTTP/2 all the way to the microservices that answer the requests. X-Real-IP was missing though.
Today I encounter an issue with PowerMockito, this is how I fixed it.
After adding some new nodes to our MongoDB sharded cluster, the replication got stuck in the Startup2 phase. This is the simple fix.
Why entropy is important and how we solved the issue of our servers not having enough.
With serverless environments on the rise we, at nerd.vision, wanted to provide people with the same debugging options as other platforms. As it stands debugging in a serverless environment is complicated and frustrating. As it can be difficult to replicate the environments locally it can be nearly impossible to reproduce a bug.
Real world insight into nerd.vision and the problems it solved from a developers perspective!
Technical debt is very similar to financial debt in that software developer’s use when talking about the extra costs associated with changing a system’s codebase and architecture. It can involve debugging code or revising requirements for a weak design or aging third-party library. Technical debt is significant to most organizations using software to run their business as it costs time as well as money. Gartner estimated that the sum amount of technical debt worldwide reached $1 trillion in 2015 and could double its figure in the coming years. With this in mind, let’s look at what technical debt is and a few reasons why technical debt is becoming increasingly important.
Debugging in a containerized environment is entirely safe with few exceptions in production environments.
Python.h: No such file or directory. Install python-dev via apt or yum.
