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AWS Lambda has a surprise learning curve. You create a new function, write your code, and it executes. Easy, right? Then you discover just how deep the rabbit hole goes. Deluged by so many topics, it’s hard to know where to go next. By Stephen Sennett.

In this post, authors will break down five steps to get you moving along your Lambda journey:

• Improving your code
• Leveraging CI/CD and frameworks
• Easy observability with PowerTools
• Tweaking your deployment
  • Function scaling with reserved concurrency
  • Cold starts and provisioned concurrency
  • Managing changes with versions and aliases
  • Tuning your resource configuration
• Architecting for serverless

The learning with Lambda does not stop here. There are still many areas of the service and development to be further explored! You can find answers to almost any problem between the Developers Guide and Operators Guide. AWS has made it truly possible to become an expert at their services by being able to navigate their documentation, and Lambda is no exception. Also there are links included in the article to some awesome videos from AWS re:Invent 2022. Good read!

A microservices architecture comes with many benefits, including increased team autonomy and increased flexibility in scaling and deployment. On the downside, the more services in a system (and a microservices app can have dozens or even hundreds), the more difficult it becomes to maintain a clear picture of the overall operation of the system.Observability tooling gives us the power to build that picture across numerous services and supporting infrastructure. By Vijay Kanade.

Telemetry – The act of gathering metrics, traces, and logs and transferring them from their point of origin to another system for storage and analysis. Also, the data itself.

In this tutorial, we highlight one very important type of observability for microservices apps: tracing. The article further covers:

• Tutorial architecture and telemetry goals
• Architecture and user flow
• Set up basic OpenTelemetry instrumentation
• Set up OpenTelemetry instrumentation and trace visualization for all services
• Configure OpenTelemetry instrumentation of NGINX
• Learn to read OpenTelemetry traces
• Optimize instrumentation based on trace readings

In a production environment, you might want to add things like custom spans for each database query and additional metadata on all spans describing runtime details such as each service’s container ID. You could also implement the other two types of OTel data (metrics and logging) to give you a complete picture of the health of your system. Nice one!

Virtual memory speeds up the execution of heavier applications without running out of memory. Virtual memory is defined as a memory management method where computers use secondary memory to compensate for the scarcity of physical memory. By Vijay Kanade .

This insightful article captures:

• What is virtual memory?
• Types of virtual memory
• Virtual memory architecture
• Benefits and challenges of virtual memory

Virtual memory is inevitable in today’s operating systems like Windows 10, Win XP, Win 7, Android, Linux, etc. Users can combine physical and virtual memory to speed up the RAM performance. It allows the system’s OS to run multiple programs, such as web surfing, writing a research paper, and executing software code simultaneously without exhausting memory. Interesting read!

A path to an open and permissionless identity protocol. The Worldcoin project is initiating an open and permissionless identity protocol called World ID. It empowers individuals to verify their humanness online while maintaining their anonymity through zero-knowledge proofs. By @worldcoin.org.

Advancements in AI make it difficult to distinguish between AI and humans on the internet, highlighting a need for authentic human recognition and verification. To help address this, individuals can receive a future-proof unique human credential through a secure biometric device in a privacy-preserving manner. Importantly, this enables a path to AI-funded non-state UBI and the equitable global distribution of digital currencies.

The article covers:

• The need for proof of personhood
• A world with proof of personhood
• Proof of personhood requirements
• Potential proof of personhood mechanisms
• Making proof of personhood a reality

The performance of deep learning models is improving at an accelerating pace, reaching superhuman levels in benchmarks with ever-increasing speed. Language models have recently experienced significant advancements, attaining performance within the upper 20th percentile of human capabilities on the majority of conventional assessments. When comparing GPT-3.5 to GPT-4, separated by only a few months, the rate of progress becomes especially clear.

Access to increasingly powerful models is becoming available to individuals in ways that are impossible to control. The Stable Diffusion image generation model and software to generate deep fakes are open source, and Meta’s LLaMA language model has been leaked and can be run on a laptop. Very interesting read!

MySQL is a popular relational database management system to organize and store data. Depending on your specific use cases and preferences, you can connect to a MySQL Server through a command-line interface, using GUI tools,such as dbForge Studio for MySQL, programming languages or via web-based interfaces such as phpMyAdmin. By Julia Evans.

In this article, we’ll give a brief overview of SSH protocol and tunnel, as well as explore how to connect to a MySQL server remotely using the SSH tunnel created with the help of PuTTY, a popular Windows SSH client. Further in the article:

• Introduction to SSH tunnel
• What is PuTTY?
• PuTTY: Pros and Cons
• Advantages of MySQL secure connection
• How to access a MySQL server remotely by creating an SSH tunnel with PuTTY
• How to connect to the MySQL server through PuTTY using dbForge Studio for MySQL
• Method 1: Connect to the MySQL server through the password authentication
• Method 2: Connect to the MySQL server using the Plink command-line interface
• Benefits of using a GUI tool to connect to MySQL

The SSH protocol operates on the client-server model, which means that the connection to the SSH server is created by the SSH client directly without being intercepted by third parties. The protocol uses authentication to enable communication between two remote systems – host and client – through a secure encrypted channel. The host is the remote server to access, while the client is the computer to be used to access the host.

To sum it up, connecting to a remote MySQL server through an SSH tunnel is a secure and reliable way to access your database and ensure the safety of your data to transmit. Good read!

In the speed-obsessed world of today, better performance comes with serious business gains. This frontend performance checklist is a cumulative list of items that we at Crystallize found important when creating a Superfast web application that is Superfast. By Dhairya Dwivedi, Håkon Gullord Krogh.

This article explains and focuses on:

• Measuring Performance
• Frontend Performance Checklist
  • HTML
  • CSS
  • JavaScript
  • Image Handling
  • Videos
  • Fonts
  • Hosting / Server
• Now, Go Hunting Milliseconds

Performance gains come with better click-through rates (CTR). It plays a crucial role in retaining users and ensures they have a pleasant user experience while browsing your website (impacts customer loyalty) but also affects your search engine ranking (SEO) and AdWords pricing.

At Enix, we manage hundreds of Kubernetes clusters for our customers and our own internal use. On cloud, on premises, big and small, from development to production… And there is one particular issue that hits all these clusters at one point or another: the image retrieval process. By Nicolas Gouze.

Every Kubernetes administrator has faced, or will face, this issue sooner or later: you roll out an update to patch a security issue, fix a bug or rollback to a stable release after a faulty update. And then, surprise: on a few nodes of the cluster, some containers won’t start because the image can’t be pulled. The registry might be down, or having a bad day, or the image might have been removed, or you might be hitting your Docker Hub pull quota. Either way: you’re SOL (sadly out of luck).

Author walk you through describing the options that they considered before writing their own container image caching solution, then he’ll describe the architecture of their solution, and he’ll tell you how to get started with it:

• Adventures, twists & turns before finding our target architecture!
• kubernetes-image-puller: interesting idea, but not for us
• An “out of the box” solution with kube-fledged?
• Tugger in harmony with Harbor?
• kuik, our image caching solution: Docker registry + dev!

A container image caching solution to ensure that any image, pulled at least once into our kubernetes cluster, gets saved to a reliable, trusted cache. Nice one!

Web2 refers to the internet’s second generation, in which websites and web applications are centralized. For many years, Web2 has been the standard, with a client-server architecture and data stored on central servers controlled by a few large corporations. By Nxtgen Virtue.

This centralized approach has drawbacks in terms of privacy, security, and data control. Web3, on the other hand, is a decentralized version of the internet in which users distribute and control data using blockchain technology. This improves transparency, security, and control over personal data.

In this article you will find information on differences in:

• Protocols
• Architecture
• Data sharing
• Data storage
• Network
• Security
• Web applications

Web2 and Web3 differ significantly in terms of technical architecture, protocols, data sharing, storage, network structure, security, and application development, with Web3 representing a paradigm shift in terms of its technical architecture, protocols, data sharing, storage, network structure, security, and application development. Good read!

With the proliferation of cloud storage services and the growing need for remote work capabilities, file sync software has become increasingly popular in recent years. It allows users to automatically synchronize files between different devices and platforms, ensuring that all file versions are up-to-date and easily accessible from anywhere. By Bobby Borisov.

Syncthing is a powerful, decentralized, open-source file synchronization software that allows users to easily and securely synchronize files between different devices and platforms, including Windows, Linux, macOS, and Android, making it a versatile solution for individuals and organizations. In addition, it uses a peer-to-peer architecture, meaning that files are synchronized directly between devices without relying on a central server, making it a more secure and private option for file syncing.

This article explains:

• What is Syncthing?
• Install Syncthing on Linux
• Setting the service to start automatically
• Syncthing initial configuration
• Connecting the Syncting instances
• Setting up Syncthing shares
• Testing file sync

Syncthing is an excellent choice for anyone looking for a robust file synchronization solution. The best part, however, is that Syncthing is not limited only to Linux. The software is also available for Windows, macOS, and Android devices. Nice one!

Predicting temperature trends with advanced deep learning techniques using LSTM. Weather forecasting is one of the most important tools in the modern world and developing a good temperature prediction model can be a huge competitive advantage for many businesses. Ambient temperature measurement is directly linked to several business areas such as agriculture, energy sector, trading, aviation, and many other sectors. By Octavio Santiago.

In this article, we will learn how to build LSTM Deep Learning models to forecast temperature precisely:

• The dataset used for training was taken from the INMET
• LSTM (Long Short-Term Memory) is a type of recurrent neural network (RNN) architecture
• Train and benchmarks
• LSTM Vanilla
• LSTM Stacked

The main outcome in training a Time Series model is how to split the dataset correctly into train and test datasets. Since the sequence is important we cannot split the dataset randomly, to split the dataset right, the sklearn function “TimeSeriesSplit” is being used. In the 48-hour prediction Stacked LSTM model showed a lower Average absolute error and a lower maximum temperature error as well, showing that adding complexity to the model was beneficial for these LSTM models and fitting data. Good read!