Translating and Deploying a docker-compose project to Kubernetes using Kompose

I’ve chosen a LAMP stack-based demo app just because it’s a multi-tiered application that demonstrates well the power of docker-compose as a container orchestration tool. You can apply this to any docker-compose project. The idea behind this topic is to translate docker-compose.yml file to a single kubemanifests.yaml resource file using Kompose, apply that YAML file … Read more Translating and Deploying a docker-compose project to Kubernetes using Kompose

IoT – Streaming Data to GCP

When data arrives on Google Cloud Platform, pipelines handle it close to how parts are handled on a production line. Data Transformation. For example, you can convert the data to another format, converting a captured system signal voltage to a calibrated unit of temperature measurement Data processing and computation. When integrating data, you can incorporate safeguards, … Read more IoT – Streaming Data to GCP

SonarCloud, a Free Code Quality and Security Check Tool

SonarCloud is the popular provider tool to find bugs and vulnerabilities in your Pull Requests through your Github repositories automatically. No more frustrations, whatever the programming language/technology you’re using, this tool works with more than 20 languages including: Java, JS, C#, C/C++, Objective-C, TypeScript, Python. SonarCloud could be downloaded and installed as an amazing extension with … Read more SonarCloud, a Free Code Quality and Security Check Tool

Google Cloud IoT core

Cloud IoT Core is a fully managed service. This ensures that you don’t need to do autoscaling, replication configuration, database partitioning, or pre-provisioning of resources. One or millions of devices can be connected and Cloud IoT Core can scale to suit your needs. Cloud IoT combines the highest security level of the MQTT protocol (TLS … Read more Google Cloud IoT core

IoT – Communicating with Devices

MQTT is an industry-standard IoT (Message Queue Telemetry Transport) protocol. It is a communication protocol for publish/subscribe (pub/sub). The model for publish/subscribe is event-driven. Signals are pushed to customers who subscribe to the subject. The Broker is the contact point. Clients are sending messages to the broker and the broker is getting messages out to … Read more IoT – Communicating with Devices

The Internet of Things IoT

The Internet of Things, or “IoT” for simple, is about expanding the power of the Internet to a whole range of other devices, systems, and environments beyond computers and smartphones. The amount of support IoT receives is exponentially increasing. In reality, it was not until 1999 that the word “Internet of Things” was invented. Since … Read more The Internet of Things IoT

Introduction to Data Engineering on Google Cloud Platform

Raw data is replicated and processed inside a lake of data. To get the data accessible, you’ll use the extract transform load or ETL pipelines to make the data functional, and store it in a data warehouse. When deciding between different data warehouse choices, let ‘s consider what are the key considerations. We need to … Read more Introduction to Data Engineering on Google Cloud Platform

Machine Learning on Unstructured Datasets

Machine Learning models on GCP have helped many companies to make a breakthrough in their industries.  The secret to takeaway is that ML can automate activities that can save a human team or support them. The new models have also outperformed humans in some domains recently. More than just binary classification tools, the picture classification … Read more Machine Learning on Unstructured Datasets

Challenges facing modern data pipelines

Introduction Software engineers have a central responsibility for building efficient, scalable, and secure pipelines. Data may come in from all various data sources inside modern organizations. Message-oriented architectures with Cloud Pub/Sub The first part of the pipeline puzzle that manages vast amounts of streaming data that do not come from a single organized database. Alternatively, … Read more Challenges facing modern data pipelines

Compute Power for Analytic and ML Workloads

Google trains its output machine learning models on its large data center network and then deploys smaller trained versions of these models to your phone’s hardware for video predictions for example. You can use pre-trained AI building blocks to exploit Google’s AI work. For example, if you’re a film trailer producer and want to quickly … Read more Compute Power for Analytic and ML Workloads

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