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Transfert de données depuis SQL Server vers Excel

Transfert de données depuis SQL Server vers Excel

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Le transfert de données depuis SQL Server vers Excel est un processus important pour les entreprises qui souhaitent faciliter l’analyse et le partage des informations.

Dans cet article, je partagerai des informations sur la façon de transférer des données de n’importe quelle table de notre base de données vers un fichier Excel personnalisé à l’aide de l’outil SSIS fourni par les développeurs MSSQL.

Once the installation is complete, we can open Visual Studio and create a new project. We will select the Integration Services Project type, which will allow us to create a package that will contain our data transfer process. After that, we can add a Data Flow Task to our package. This task will be responsible for transferring data from any table in our database to the custom-designed Excel file.

In order to do this, we need to configure the Data Flow Task. We will start by adding an OLE DB Source component to our Data Flow Task. This component will be used to connect to our database and retrieve the data from the table we want to transfer. We then need to configure the Excel Destination component, which will be used to write the data into the custom-designed Excel file.

Finally, we can configure the Data Flow Task to run in debug mode. This will allow us to test the data transfer process and make sure that it is working correctly. Once we are satisfied with the results, we can deploy the package to our production environment and start using it for our data transfer needs.

Dans cet article, je partagerai des informations sur la façon de transférer des données à partir de n’importe quelle table de notre base de données vers un fichier Excel personnalisé à l’aide de l’outil SSIS fourni par les développeurs MSSQL.

Tout d’abord, pour permettre notre développement via Visual Studio, nous devons installer Microsoft SQL Server Data Tools sur notre ordinateur.

Une fois l’installation terminée, nous pouvons ouvrir Visual Studio et créer un nouveau projet. Nous sélectionnerons le type de projet Integration Services, qui nous permettra de créer un package qui contiendra notre processus de transfert de données. Après cela, nous pouvons ajouter une tâche de flux de données à notre package. Cette tâche sera responsable du transfert des données à partir de n’importe quelle table de notre base de données vers le fichier Excel personnalisé.

Pour ce faire, nous devons configurer la tâche de flux de données. Nous commencerons par ajouter un composant Source OLE DB à notre tâche de flux de données. Ce composant sera utilisé pour se connecter à notre base de données et récupérer les données de la table que nous voulons transférer. Nous devons ensuite configurer le composant Destination Excel, qui sera utilisé pour écrire les données dans le fichier Excel personnalisé.

Enfin, nous pouvons configurer la tâche de flux de données pour qu’elle s’exécute en mode débogage. Cela nous permettra de tester le processus de transfert de données et de nous assurer qu’il fonctionne correctement. Une fois que nous sommes satisfaits des résultats, nous pouvons déployer le package dans notre environnement de production et commencer à l’utiliser pour nos besoins de transfert de données.

Pour vérifier que le transfert des données se déroule correctement, nous pouvons utiliser l’outil SSIS pour exécuter des tests unitaires sur le package. Ces tests unitaires vérifieront que les données sont transférées correctement et que le fichier Excel personnalisé est correctement mis à jour avec les données provenant de la base de données. Une fois que les tests unitaires sont terminés

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Déploiement Cloud Native de Flux dans App Connect Enterprise

Déploiement Cloud Native de Flux dans App Connect Enterprise

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Le déploiement cloud native de Flux dans App Connect Enterprise offre une solution innovante pour intégrer des applications et des données à travers les environnements cloud et on-premise.

IBM App Connect Enterprise (ACE) : Un outil d’intégration puissant et largement utilisé

Testing is an important part of the development process. ACE provides a number of testing features, such as the ability to run flows in a test mode, and the ability to debug flows. The test mode allows flows to be run with test data, and the results can be inspected to ensure that the flow is producing the expected results. The debug mode allows developers to step through a flow and inspect the variables and messages at each step. This is invaluable for troubleshooting and understanding how a flow works.

IBM App Connect Enterprise (ACE) est un puissant et largement utilisé outil d’intégration. Les développeurs créent des flux d’intégration en définissant un point d’entrée qui reçoit un message, puis en traitant ce message et enfin en envoyant ou en plaçant le message transformé. Les flux se composent d’une série de nœuds et de constructions logiques. ACE est puissant et flexible – il existe de nombreux nœuds spécifiquement conçus pour interagir avec les systèmes à intégrer, mais il existe également des nœuds qui peuvent exécuter un script ou du code Java. En raison de cela, ACE peut presque tout faire et peut donc être considéré (bien que ce ne soit pas son objectif) comme un environnement d’exécution d’application. 

Un flux ACE est une unité déployable intrinsèquement sans état, bien qu’il puisse gérer son propre état. Dans un environnement de serveur traditionnel, de nombreux flux sont déployés sur un serveur d’intégration et leur exécution peut être gérée et échelle à l’aide des fonctionnalités de gestion de charge. Cela rend ACE un ajustement naturel pour un environnement Kubernetes.

Le test est une partie importante du processus de développement. ACE fournit un certain nombre de fonctionnalités de test, telles que la possibilité d’exécuter des flux en mode test et la possibilité de déboguer des flux. Le mode test permet aux flux d’être exécutés avec des données de test et les résultats peuvent être inspectés pour s’assurer que le flux produit les résultats attendus. Le mode debug permet aux développeurs de passer en revue un flux et d’inspecter les variables et les messages à chaque étape. Cela est inestimable pour le dépannage et la compréhension du fonctionnement d’un flux.

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Astuces efficaces pour déboguer du code complexe en Java

Astuces efficaces pour déboguer du code complexe en Java

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Déboguer du code complexe en Java peut être un défi. Découvrez ici quelques astuces efficaces pour vous aider à résoudre vos problèmes rapidement.

Déboguer du code complexe en Java est une compétence essentielle pour chaque développeur

Using a debugger can help you quickly identify and isolate the root cause of an issue. For example, if you suspect that a particular method is causing an exception, you can set a breakpoint at the beginning of the method and step through it until the exception occurs. This will help you pinpoint the exact line of code that’s causing the problem.

2. Logging

Logging is another essential tool for debugging Java code. By adding log statements to your code, you can track the flow of execution and pinpoint the source of an issue. Logging is also useful for tracking down problems in production environments, as it allows you to collect data without having to manually debug the code.

When logging, it’s important to be selective about what information you log. Too much information can make it difficult to find the root cause of an issue, while too little information can make it impossible to identify the source of the problem. As a general rule, it’s best to log only the data that is necessary to diagnose an issue.

3. Unit Testing

Unit testing is another effective strategy for debugging complex Java code. By writing unit tests for each component of your application, you can quickly identify and isolate any issues that arise. Unit tests also provide a valuable safety net, as they allow you to catch bugs before they reach production.

When writing unit tests, it’s important to focus on testing the behavior of your code rather than its implementation. This will help ensure that your tests are robust and reliable, and will also make them easier to maintain over time.

En déboguant du code complexe en Java, il est essentiel d’avoir les bonnes compétences pour chaque développeur. À mesure que les projets grandissent en taille et en complexité, la probabilité de rencontrer des bogues et des problèmes augmente. Cependant, le débogage ne consiste pas seulement à corriger les problèmes ; c’est également une expérience d’apprentissage précieuse qui améliore vos compétences en codage. Dans cet article, nous explorerons des stratégies et des techniques efficaces pour déboguer du code Java complexe, ainsi que des exemples pratiques pour illustrer chaque point.

1. Utiliser un débogueur

L’un des outils les plus fondamentaux pour le débogage en Java est le débogueur. Les environnements de développement intégrés modernes (IDE) tels qu’IntelliJ IDEA, Eclipse et NetBeans fournissent des fonctionnalités de débogage puissantes qui vous permettent de définir des points d’arrêt, d’inspecter des variables et de parcourir votre code ligne par ligne.

L’utilisation d’un débogueur peut vous aider à identifier et à isoler rapidement la cause racine d’un problème. Par exemple, si vous soupçonnez qu’une méthode particulière provoque une exception, vous pouvez définir un point d’arrêt au début de la méthode et le parcourir jusqu’à ce que l’exception se produise. Cela vous aidera à repérer la ligne exacte de code qui est à l’origine du problème.

2. Journalisation

La journalisation est un autre outil essentiel pour le débogage de code Java. En ajoutant des instructions de journalisation à votre code, vous pouvez suivre le flux d’exécution et repérer la source d’un problème. La journalisation est également utile pour localiser les problèmes dans les environnements de production, car elle vous permet de collecter des données sans avoir à déboguer manuellement le code.

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Guide simple à l'ingénierie inverse de l'algorithme Twitter avec LangChain, Activeloop et DeepInfra

Guide simple à l’ingénierie inverse de l’algorithme Twitter avec LangChain, Activeloop et DeepInfra

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Découvrez comment utiliser LangChain, Activeloop et DeepInfra pour effectuer une ingénierie inverse de l’algorithme Twitter facilement et rapidement !

## Imaginez écrire un logiciel qui puisse comprendre, assister et même générer du code, comme le ferait un développeur expérimenté.

LangChain is a data-driven platform that enables developers to create, modify, and debug code faster and more efficiently. It works by analyzing code and extracting meaningful information from it. This data is then used to build models that can understand and generate code. The models are then used to generate code that is tailored to the user’s needs.

LangChain est une plateforme basée sur les données qui permet aux développeurs de créer, modifier et déboguer le code plus rapidement et plus efficacement. Il fonctionne en analysant le code et en extrayant des informations significatives de celui-ci. Ces données sont ensuite utilisées pour créer des modèles qui peuvent comprendre et générer du code. Les modèles sont ensuite utilisés pour générer du code adapté aux besoins de l’utilisateur.

LangChain nous permet d’atteindre un nouveau niveau de compréhension et de génération de code grâce à des modèles avancés tels que VectorStores, Conversational RetrieverChain et LLMs. Avec LangChain, il est possible d’imaginer un logiciel capable de comprendre, d’assister et même de générer du code, comme un développeur expérimenté le ferait. Grâce à cette technologie, les développeurs peuvent gagner du temps et de l’argent en réduisant le temps nécessaire pour créer, modifier et déboguer le code.

LangChain est un outil très puissant qui peut être utilisé par les développeurs pour améliorer leurs compétences et leur productivité. Il permet aux développeurs de comprendre le code plus rapidement et de le modifier plus facilement. En outre, il peut être utilisé pour générer du code à partir de données existantes ou pour créer des modèles qui peuvent être utilisés pour générer du code à partir de données nouvelles ou existantes. Enfin, LangChain peut être utilisé pour trouver des erreurs dans le code et les corriger rapidement.

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Automatiser le Shadow DOM avec Selenium WebDriver

Automatiser le Shadow DOM avec Selenium WebDriver

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Selenium WebDriver offre une solution pour automatiser le Shadow DOM et simplifier le développement des applications web. Essayez-le dès aujourd’hui !

## J’ai rencontré un des cas de test dans mes projets précédents où je devais cliquer sur un bouton pour naviguer vers la page suivante. J’ai recherché le localisateur d’élément du bouton sur la page et j’ai exécuté les tests en espérant qu’il cliquerait sur le bouton et naviguerait vers la page suivante.

## Mais à ma grande surprise, le test a échoué car il n’a pas pu localiser l’élément et j’ai reçu NoSuchElementException dans les journaux de console. Je n’étais pas content de voir cette erreur car c’était un simple bouton que j’essayais de cliquer et il n’y avait pas de complexité.

I started to debug the issue and found out that the element was present in the DOM but was hidden from the view. I realized that the developers had used a coding technique to hide the button from the view, and that was why the test was failing.

J’ai rencontré un des cas de test dans mon projet précédent où je devais cliquer sur un bouton pour naviguer vers la page suivante. J’ai cherché le localisateur d’élément du bouton sur la page et j’ai exécuté les tests en espérant qu’il cliquerait sur le bouton et naviguerait vers la page suivante.

Mais à ma grande surprise, le test a échoué car il n’a pas pu localiser l’élément et j’ai reçu NoSuchElementException dans les journaux de la console. Je n’étais pas content de voir cette erreur car c’était un simple bouton que j’essayais de cliquer et il n’y avait pas de complexité.

J’ai commencé à déboguer le problème et j’ai découvert que l’élément était présent dans le DOM mais était caché de la vue. J’ai réalisé que les développeurs avaient utilisé une technique de codage pour cacher le bouton de la vue, et c’est pourquoi le test échouait.

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7 Best MQTT Client Tools Worth Trying

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With the rapid development of the IoT industry, the MQTT protocol is being used by more companies and developers. In the process of learning and using MQTT, a handy client tool can help developers debug IoT applications, explore the features of MQTT, and shorten the development cycle.

There are a wide variety of MQTT client tools with different functional focuses. For beginners and even MQTT experts, it is a challenge to choose a suitable MQTT client tool.

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Is it Time to Transition to JAMStack?

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Jamstack (JAMstack), is one of the most popular (and rapidly growing) tools for app and website creation. A unique ecosystem of functionality, Jamstack promises developers the support they need to create powerful websites and progressive applications. 

For a while, Jamstack was mostly written off as just another buzzword in the developer space. However, today, it’s growing to become a powerful investment for many business leaders. Even big companies are getting involved, like Cloudflare, with Cloudflare pages, and Microsoft with Azure Static Web Apps. Elsewhere, we’ve seen brands like Shopify, PayPal, and Nike getting involved too.

So, what exactly is Jamstack, and is it time you transitioned over? Let’s find out…

What is Jamstack?

Jamstack, otherwise known as “JAMstack,” is the name of a developer ecosystem made up of JavaScript, APIs, and Markup (hence: JAM). The solution is a web development architecture allowing developers to access static website benefits, such as higher security and better performance, while still unlocking dynamic database-oriented CMS.

The Jamstack solution allows companies and developers to build a dynamic website where real assets are pre-rendered static files in a CDN. The dynamic environment runs on JavaScript client-side, through serverless functions. 

For a better insight, let’s compare Jamstack to the LAMP stack development strategy, which originated from the four open-source components many developers used to build sites: Linux, Apache HTTP, MySQL, and PHP.

With LAMP, each user request for a page forces the server to query a database — unless the page is cached — and combine the result with page markup data and plugins. Jamstack websites serve pre-built optimized assets and markup solutions quickly because the files are already compiled on a CDN. There’s no need to query the database. 

Jamstack workflows dramatically reduce cumbersome issues with development and excess maintenance, making them highly appealing to developers. 

What Are the Benefits of Jamstack?

Jamstack won’t be the ideal development tool for everyone, but it has a lot of benefits to offer. By fetching HTML from a CDN, the system doesn’t have to wait for HTML to be combined and returned to clients. The solution also provides an improved developer experience with static methods. 

Using Jamstack, developers can build fantastic static files ready to serve by request, hosted on a global CDN. Some of the biggest benefits of Jamstack include:

  • Performance: Because you’re serving pre-built static files from a CDN directly, you’ll achieve much faster loading times, unmatched by typical server-side rendering options. Because you’re serving static files, you’re also better equipped to handle any traffic spikes you might encounter, with minimal slowdown.
  • User experience: Better website performance significantly improves user experience and website traffic, as well as SEO efforts. User experience has always been a critical factor in ensuring the success of a website, and it’s essential to keeping your customers around for as long as possible. Websites optimized for performance will always delight users. 
  • Security: With Jamstack, there are no servers or databases to worry about. You use third-party solutions to handle these issues for you. The architecture of Jamstack means the back and front end of your development processes are decoupled, and you can rely on APIs to run server-side processes easily. Jamstack also comes with security benefits other approaches can lack. Clear separation of services is essential here. 
  • Hosting and scaling: Scaling and hosting can often be problematic in the development world, but because you’re serving files from a CDN, you’re less likely to encounter issues. CDNs are almost infinitely scalable, so you get excellent extensibility built into your development environment. CDN hosting for static files is also cheaper than traditional hosting, so you can keep costs low. 
  • Maintenance: Jamstack makes it easy to push your front end to the edge rather than managing infrastructure directly. Ditching plugins, databases, and other hosting services can help you to save more time and money on a significant scale. 
  • Developer experience: From a developer perspective, there are tons of benefits from Jamstack. You get the ease of a Github, CI/CD, CDN flow, and auto previews with simple rollback to reduce the need for backups. Local developer environments and the ability to run and debug cloud functions locally are all fantastic.

Does Jamstack Have any Limitations?

In a lot of ways, Jamstack is an innovative and revolutionary solution for development. It can help you to create a far more engaging website and present your company in an incredible way. Of course, that doesn’t mean there are no limitations to be aware of. 

Jamstack is developer-friendly, for instance, but it’s not beginner-friendly. You will need at least some knowledge of web development to start unlocking the benefits. You’ll need to understand things like Vue or React, but you should develop a tool anyone can use with a bit of work.

There’s also a handful of things you can’t pre-generate, like user-specific and real-time data. So, this means you may not be able to use Jamstack effectively on projects requiring these kinds of data. Building an analytics dashboard, for instance, probably isn’t a good idea with Jamstack. Other issues for some developers may include:

  • API complexity: It can be overwhelming to try and find the right solution for your needs among so many different options. Of course, this could also be something you’d say about the WordPress ecosystem and its huge variety of plugins. An API usually won’t break your production website, at least. 
  • Long building processes: If you have a large number of pages, there’s more likely to be an extensive building process to think about. Whenever you make a change to a single page, even a little one, you’ll need to rebuild your entire website. This is a problem if you run into a website with thousands of pages. There are solutions to this problem available, however.
  • Handling dynamics: Going with Jamstack doesn’t mean abandoning your backend. An important part of the approach is accessing serverless functions, which are becoming more effective over time. These serverless functions can also be executed on the edge. The backend parts of your website will require regular maintenance as they scale.

Best Jamstack Tools to Check Out

Now you know the basics of Jamstack, let’s look at some of the tools you can use to design an incredible website or application within the Jamstack environment. 

The Git Tool Landscape

There are tons of tools within the Git ecosystem common among Jamstack developers. Starting with Git itself. Git represents a powerful free, and open-sourced distributed version control system. With this solution, companies can handle everything from small to enterprise-level projects with efficiency and speed. The solution is extremely easy to use and learn, and outclasses a range of tools like Perforce, ClearCase and Subversion. 

GitHub Pages and GitLab pages are two hosting services for Git repositories with built-in services to host static pages from out of your codebase. This makes the two solutions fantastic for when you’re building a Jamstack website. You can access the functionality for free too. 

GitLab gives you a comprehensive DevOps platform to work with, where you can enjoy a comprehensive CI/CD toolchain out of the box. The comprehensive solution, delivered as a single application, changes the way security, development, and Ops teams integrate and collaborate. Gitlab helps to accelerate software delivery on a massive scale.

AWS Amplify

AWS Amplify, created by Amazon Web Services, is a development platform packed full of useful features for people in the Jamstack environment. The Amplify offering aims to reduce the complexities associated with Amazon Web Services for mobile and web deployment. You get 12 months of hosting for free with new accounts, and you get Storage with Amplify too. 

The Amazon Amplify solution dramatically improves the regular AWS workflow, especially if you’re just a novice user. There’s a huge documentation hub to help you too, which is way more convenient than Amazon’s usual documentation solutions. Amplify is still accessed from a somewhat bloated console, however. 

With AWS Amplify, companies can access features like a comprehensive data store to sync data between the cloud and websites. There’s also easy-to-use interface access across all different categories of cloud operations. The service works well with a range of JavaScript central tools. 

Netlify

Netlify is a pioneering solution in the Jamstack environment, allowing users to go dynamic with their websites and applications on their own terms. You can access a range of add-ons and integration, access your favorite tools, and make your own. The flexible environment enables developers to run websites on a multi-cloud infrastructure designed for speed and scale automation. 

Built to be entirely secure from the ground up, Netlify makes it easy to build a site that’s custom-made for performance and deployed directly. You don’t need to worry about managing, scaling and patching web services, which means you can more quickly implement your Jamstack architecture. 

Unlike other large legacy apps, Jamstack projects are neatly separate from your front-end pages and UI from the backend databases and apps with Netlify. Using this service, the entire front-end can be pre-built with highly optimized static assets and pages, and developers can deliver new web projects faster than ever before.

Next.JS

Inspired by the functionality of PHP, Next.JS is a solution for pre-rendered JavaScript modules. The solution allows developers to easily export the components of their apps and perform individual tests to determine how each element works. You can also access a wide range of components and modules from NPM. The Next offering allows developers to save time, removing the need to use webpack bundles and transform with compilers. 

The full solution is extremely intuitive, ensuring developers can create solutions quickly. What’s more, the technology you build will allow you to load only the bundle needed from your JavaScript workflow, rather than all the JavaScript at once. Pre-fetching, one of the features of Next.JS, also picks up where standard code-splitting leaves off, allowing for optimized bundles of code to load seamlessly. 

Next.JS also supports hot-module replacement. This means instead of reloading an entire application when you change the code, you only recreate the modules you’ve altered.

Angular

Probably the most widely-recognized of all the JavaScript frameworks, Angular, designed by Google engineers, appeared first in 2012, offering developers a new way to create dynamic pages. Before this technology, there were other opportunities for creating dynamic pages, but they were nowhere near as convenient or speedy. 

Angular is probably one of the most essential tools companies can use when building a Jamstack website or environment. The front-end web development tool attracts developers from all over the world. Every version is packed with features and constantly upgraded to ensure you can generate the best results. 

Angular extends HTML file functionality with powerful directives, and it requires very little effort to enable these directives too. All you do is add the ng- prefix to your HTML attributes and you’re ready to go. Angular also allows developers to create widgets leveraging editable data with two-way binding. This means developers don’t have to write code that syncs constantly between the model and view. 

With Angular, developers also get access to things like virtual scrolling, which can help with displaying large lists of elements performantly, rendering on the items that fit on the screen to reduce loading times. 

React

Another must-have tool in the JavaScript world for Jamstack, the React solution was launched first in 2013, and has won thousands of customers across the globe thanks to fantastic functionality. Today, the full landscape is maintained by Facebook, along with all the members of the standard developer community. The solution is used by some of the biggest giants in the tech industry, like Netflix, PayPal, and Apple. 

React is a true pioneer in the Jamstack ecosystem, with its sensational approach to simple and straightforward solutions for JavaScript management. You’ll be able to access batched and virtual DOM updates, which makes it easier to unlock components quickly, and write your components the way you see them. There’s also the added benefit that React is compatible with a lot of tools. 

You can build a comprehensive app or website with the help of React, and you’ll have no trouble accessing some of the top features, particularly with plenty of support available from the React community. 

Gatsby

Created from the ground up to improve user experience on a comprehensive level, Gatsby is a static site generator with heavy focus on things like SEO, performance, and accessibility. The solution offers plenty of out-of-the-box features to help developers deliver the most immersive solution for their users, without unnecessary complexity. 

Gatsby users pre-configuration to develop static websites giving developers faster loading pages, stronger code splitting, and server-side rendering. You can also access features like data prefetching, asset optimization, and quick image loading. Gatsby boasts excellent documentation and starter packs to help you get your site up and running more quickly.

The GraphQL data layer of Gatsby also means the system can collect your data from anywhere, including your CMS, JSON, Markdown, and APIs. More than just your standard site generator, this is a tool built specifically with performance in mind. 

Agility CMS

Developing an effective Jamstack website means having access to the right CMS technology. Agility CMS wasn’t the first CMS solution to support Jamstack, but it is one of the better-known options. As one of the first headless CMS solutions to hit the market, the company has quickly captured the attention of a huge range of developers worldwide.

Agility CMS is a Jamstack pioneer, capable of helping developers to build a foundation for any online ecosystem. The technology is an API-first CMS with support for REST APIs, so developers can connect all the third-party apps and front-end frameworks they like.

The technology also gives developers the freedom to code their solutions their way. You don’t have to follow a specific set of guidelines for how content is created, but templates are available to fast-track development. Agility CMS also hosts and abstracts your database, so you don’t have to worry about connection strings, backups, and maintenance. 

With a strong content architecture to help companies manage digital content and a partnership with Gatsby, Agility is ideal for Jamstack development strategies. 

Building Your Jamstack Website

The Jamstack solution is more than just a buzzword in today’s development world. This unique approach to building incredible development experiences delivers an excellent advantage to both developers and their end-users. Fast, scalable, and full of solutions for customization, Jamstack is a powerful way to bring websites to life with simplicity and speed. 

Every day, more companies take advantage of the Jamstack environment, and we’re constantly seeing a wide selection of new tools, APIs and offerings emerging to help enhance the Jamstack landscape too. This environment is definitely worth consideration for any developer looking to significantly speed up their development strategy.

 

Featured image via Pexels.

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Pass a Parameter to All JVMs in A Machine at The Same Time

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JAVA_TOOL_OPTIONS

Imagine a scenario where you need to change a JVM parameter, but you can’t or is not a good solution to changing the start script of your server(s).

One of the challenges we had, when we were working with containers, was a way to change a parameter to a JVM without building the docker image again.
The application at the start time should read a JVM parameter where a _user profile_was defined.
For specific reasons we sometimes need to change this profile, for instance, to use a more controlled user where we can debug an issue. In these situations, we want to stop the container/pod, change the profile and start again, or even start a different container with a different profile.

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Monitoring Kubernetes cert-manager Certificates With BotKube

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The monitoring and alerting stack is a crucial part of the SRE practices. That’s where BotKube helps you monitor your Kubernetes cluster and send notifications to your messaging platform or any other configured sink. In this blog post, we will be configuring BotKube to watch the Kubernetes cert-manager certificates CustomResources.

What is BotKube?

BotKube is a messaging tool for monitoring and debugging Kubernetes clusters. BotKube can be integrated with multiple messaging platforms like – Slack, Mattermost, or Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments, and gives recommendations for standard practices by running checks on the Kubernetes resources.

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How to Debug Microservices in the Cloud

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The growth in information architecture has urged many IT technologies to adopt cloud services and grow over time. Microservices have been the frontrunner in this regard and have grown exponentially in their popularity for designing diverse applications to be independently deployable services.

Trivia: In a survey by O’Reilly, over 50% of respondents said that more than 50% of new development in their organisation utilise microservices.

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