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.
The bells have rung, and we are now well into 2022, so the question is, in 2022 what can NerdVision do to speed up modern application development?
Site reliability engineering (or SRE) and DevOps seemingly overlap in a multitude of realms. The question that has arisen with newfound innovations in the technological fields is whether or not SRE is replacing DevOps. Before coming to a relatively subjective consensus, I think it is important to explain the two and their similarities and differences.
Yesterday we had a fantastic webinar with Karl Kalash from Datadog, talking all about Datadog and the Datadog Marketplace. We also had Ben Donnelley from NerdVision talking about how you can use NerdVision alongside Datadog to debug production or any environment monitored by Datadog.
Using a Self-Managed GitLab instance? Try it out with NerdVision today!
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NerdVision redefines production debugging with the ability to automatically collect application data once a trace, error, or exception has been triggered.
Debug your applications like never before. With NerdVisions automated debugging, gather data from your applications automatically when you need it most.
Changes to the way Java process variables, to improve your experience while using NerdVision and how we present the data to you.
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
Firebase Hosting has an action for deploying UIs from GitHub. But what if we're using GitLab?
Quite a lot has already been written about Scrum Values. And for good reason. I also believe that they are of such essential importance in connection with the three pillars of Scrum (Transparency, Inspection and Adaptation) that I would like to go into them again in this article.
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.
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!
Introducing a more intuitive and modern way to interact with the GitLab API in JavaScript.
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.
In this blog post we talk about sinking data from Confluent Cloud to Elastic Cloud without the need for calling Elastics REST API directly.
This is a brief look at the changes in the Scrum Guide 2020 and what it means to us.
A brief introduction into a new experience in team development using workshops
A brief introduction to dealing with states and specifically user friendly loading within Angular applications
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A year of unprecedented challenges for people and businesses is drawing to a close. While Christmas and New Year must be celebrated in a smaller circle than usual, we look forward to a peaceful festive season.
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.
