Automating Green-House Photos through Event-Bridge Pipes and Lambda

< MEDIUM: https://medium.com/towards-aws/automating-green-house-photos-through-event-bridge-pipes-and-lambda-434461b89f55 >

Image sent to Telegram

I have a small greenhouse which was in the pipeline for over 2 years and I finally decided to build it. Whoever is in gardening will agree that anything grows better in the greenhouse at least it appears to be so.

Now, the initial impression is all good but I have plans to learn and explore both the plant sides of things and also some using some part of image analysis for a predictive action, for all that to happen I need a camera and a picture to start with.

Hardware —

Raspberry Pi — I have an old one at home, you can technically have any shape or size as long as it fits your need, My recommendation — is Raspberry Pi Zero

What are the other simplest alternatives:

I could have written a Python script which directly could have sent the image to Telegram storing the image locally or uploading it to S3

The reason I choose to go with Event-bridge Pipe is to put this more into practice and from there on connect more Lambda and step-functions for future expansion of the project.

Architecture Diagram for sending Images Continue reading

In The Multicloud World, The Data’s The Thing

When three years ago Dell rolled out its Apex initiative, the massive IT supplier was joining a growing list of tech companies like HPE, Lenovo, and Cisco who were adapting to a rapidly expanding multicloud world by making their product portfolios available in a cloud-like, as-a-service model. …

In The Multicloud World, The Data’s The Thing was written by Jeffrey Burt at The Next Platform.

Achieving High Availability (HA) Redis Kubernetes clusters with Calico Clustermesh in Microsoft AKS

According to the recent Datadog report on real world container usage, Redis is among the top 5 technologies used in containerized workloads running on Kubernetes.

Redis database is deployed across multi-region clusters to be Highly Available(HA) to a microservices application. However, while Kubernetes mandates how the networking and security policy is deployed and configured in a single cluster it is challenging to enforce inter-cluster communication at pod-level, enforce security policies and connect to services running in pods across multiple clusters.

Calico Clustermesh provides an elegant solution to highly available multiple Redis clusters without any overheads. By default, deployed Kubernetes pods can only see pods within their cluster.

Using Calico Clustermesh, you can grant access to other clusters and the applications they are running. Calico Clustermesh comes with Federated Endpoint Identity and Federated Services.

Federated endpoint identity

Calico federated endpoint identity and federated services are implemented in Kubernetes at the network layer. To apply fine-grained network policy between multiple clusters, the pod source and destination IPs must be preserved. So the prerequisite for enabling federated endpoints requires clusters to be designed with common networking across clusters (routable pod IPs) with no encapsulation.

Federated services

Federated services works with federated endpoint identity, Continue reading

After China’s Micron ban, US lawmakers urge sanctions on chips from CXMT

The US Commerce Department should put trade restrictions on Chinese memory chip maker Changxin Memory Technologies (CXMT), say lawmakers on the US House of Representative’s Committee on China.The comments come in the wake of the Chinese government ban on the use of some Micron chips in certain sectors, citing concerns that the products pose a significant security risk to the country’s key information infrastructure supply chain.However, these claims are “not based in fact” White House press secretary Karine Jean-Pierre told reporters, adding that the Department of Commerce was engaged directly with the PRC (People's Republic of China) to detail the administration’s views on the ban.To read this article in full, please click here

Day Two Cloud 196: Peering Behind The Curtain Of Podsqueeze’s AI Podcasting Service

Today's show gets behind the curtain of a cloud service called Podsqueeze. Podsqueeze is an application that ingests audio and video files and then produces text-based output including a show description, an episode transcript, suggested headlines, segment timestamps, suggested social media posts, and more. The Packet Pushers are experimenting with Podsqueeze as part of our own production. Being curious nerds, we thought this was a good opportunity to see how the service really works. Our guest is Tiago Ferreira, one of the entrepreneurs and developers of Podsqueeze.

Day Two Cloud 196: Peering Behind The Curtain Of Podsqueeze’s AI Podcasting Service

The post Day Two Cloud 196: Peering Behind The Curtain Of Podsqueeze’s AI Podcasting Service appeared first on Packet Pushers.

Failed Expectations

In a recent workshop I attended, reflecting on the evolution of the Internet over the past 40 years, one of the takeaways for me is how we've managed to surprise ourselves in both the unanticipated successes we've encountered and in the instances of failure when technology has stubbornly resisted to be deployed despite our confident expectations to the contrary! What have we learned from these lessons of our inability to predict technology outcomes?

Leaf and spine network emulation on Mac OS M1/M2 systems

The GitHub sflow-rt/containerlab project contains example network topologies for the Containerlab network emulation tool that demonstrate real-time streaming telemetry in realistic data center topologies and network configurations. The examples use the same FRRouting (FRR) engine that is part of SONiC, NVIDIA Cumulus Linux, and DENT network operating systems. Containerlab can be used to experiment before deploying solutions into production. Examples include: tracing ECMP flows in leaf and spine topologies, EVPN visibility, and automated DDoS mitigation using BGP Flowspec and RTBH controls.

The Containerlab project currently has limited support for Mac OS, stating "ARM-based Macs (M1/2) are not supported, and no binaries are generated for this platform. This is mainly due to the lack of network images built for arm64 architecture as of now." However, this argument doesn't apply to the Linux based images used in these examples.

First install Docker Desktop on your Apple silicon based Mac (select the Apple Chip option).

mkdir clab
cd clab
docker run --rm -it --privileged \
  --network host --pid="host" \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -v /run/netns:/run/netns \
  -v $(pwd):$(pwd) -w $(pwd) \
  sflow/clab bash

Run Containerlab by typing the above commands in a terminal. This command uses a pre-built multi-architecture Continue reading

Aurora Rising: A Massive Machine For HPC And AI

As long as great science gets done on the final incarnation of the “Aurora” supercomputer at Argonne National Laboratory, based on Intel’s CPUs and GPUs but not on its now defunct Omni-Path interconnect, people will eventually forget all of – well, most of – the grief that it took to get the massive machine to market. …

Aurora Rising: A Massive Machine For HPC And AI was written by Timothy Prickett Morgan at The Next Platform.

Intel launches Agilex FPGA for smart networking

Intel has launched a field-programmable gate array—Agilex 7 with R-Tile—that features PCIe 5.0 and CXL capabilities for processing networking workloads.The Agilex FPGA is primarily used in smartNICs that offload the processing of network traffic from the CPU, thus freeing up CPU capacity for other tasks. Intel sees Agilex playing a role in data centers, telecommunications, and financial services, among other high-traffic industries.Agilex is a rebranding of Intel’s Stratix and Arria FPGA lines that involves renumbering, with Agilex 3 being the low-end and Agilex 9 the high-end. So Agilex 7 is not the seventh generation of the chip but is the second most powerful processor in the family.To read this article in full, please click here

Microsoft integrates Nvidia’s AI Enterprise Suite with Azure Machine Learning

Microsoft is integrating Nvidia’s AI Enterprise software suite with its Azure Machine Learning service to help enterprise developers build, deploy, and manage applications based on large language models, it said Tuesday.Developers and enterprises will have access to over 100 frameworks, pretrained large language models, and development tools as part of AI Enterprise Suite integration with Microsoft’s Azure Machine Learning service, the companies said in a joint statement. For now, the integration is only available through an invitation-only preview in the Nvidia community registry.To read this article in full, please click here

Kubernetes Security And Networking 8: Loading The Cillium CNI – Video

Container Network Interfaces (CNIs) are plug-ins that enable networking capabilities. This video provides a brief overview of the Cillium CNI and the importance of network policies. https://www.youtube.com/watch?v=nzswIJpdPtY You can subscribe to the Packet Pushers’ YouTube channel for more videos as they are published. It’s a diverse a mix of content from Ethan and Greg, plus […]

The post Kubernetes Security And Networking 8: Loading The Cillium CNI – Video appeared first on Packet Pushers.

Make your FortiGate firewalls work with Kubernetes: How Calico enables Fortinet firewalls to secure Kubernetes workloads

FortiGate firewalls are highly popular and extensively utilized for perimeter-based security in a wide range of applications, including monolithic applications developed and deployed using the traditional waterfall model. These firewalls establish a secure perimeter around applications, effectively managing inbound and outbound traffic for the organization. FortiGate relies on IP addresses for implementing “allow/deny” policies.

The use of IP addresses is effective for non-cloud native applications, where static IP addresses serve as definitive network identifiers. However, in a Kubernetes environment, workloads have dynamic IP addresses that change whenever they are restarted or scaled out to different nodes. This dynamic nature poses challenges when utilizing FortiGate with Kubernetes workloads, requiring continuous updates to firewall rules and the opening of large CIDR ranges for node-based access. This introduces security and compliance risks, as workloads running on these CIDR ranges gain unrestricted access to external or public services.

To facilitate the usage of FortiGate firewalls with Kubernetes workloads, it becomes crucial to identify workloads that necessitate access to external resources and assign them fixed IP addresses for utilization in FortiGate firewall rules. The integration of Calico with FortiGate firewalls and FortiManager offers an elegant solution, enabling the use of FortiGate firewalls while retaining existing Continue reading

Nvidia joins with Dell to target on-prem generative AI

Dell Technologies and Nvidia are jointly launching an initiative called Project Helix that will help enterprises to build and manage generative AI models on-premises, they said Tuesday.The companies will combine their hardware and software infrastructure in the project to support the complete generative AI lifecycle from infrastructure provisioning through modeling, training, fine-tuning, application development, and deployment, to deploying inference and streamlining results, they said in a joint statement.Dell will contribute its PowerEdge servers, such as the PowerEdge XE9680 and PowerEdge R760xa, which are optimized to deliver performance for generative AI training and AI inferencing, while Nvidia contribution to Project Helix, will be its H100 Tensor Core GPUs and Nvidia Networking to form the infrastructure backbone for generative AI workloads.To read this article in full, please click here

Nvidia joins with Dell to target on-prem generative AI

Boosting AI Storage With QLC Flash And Deduplication

A few years ago, DirectData Networks gave us a hint at the tectonic-like shifts that were emerging in datacenters at enterprises and high-end research institutions and were shaping the strategy of a company that had made its name in HPC with its parallel file system technology. …

Boosting AI Storage With QLC Flash And Deduplication was written by Jeffrey Burt at The Next Platform.

How to use the grep command

In this video, we're going to take a look at the grep command and some of the things you can do with it.

Event-Driven Ansible is Here

event driven ansible is here

As you may recall, we introduced Event-Driven Ansible in developer preview last fall at AnsibleFest. Since that time, much work has been done across the community, the Red Hat development teams, customers, and last but not least, Red Hat partners. Today, we are pleased to announce that Event-Driven Ansible will be concluding its developer preview and will become generally available as part of Red Hat Ansible Automation Platform 2.4.

If you are new to Event-Driven Ansible, check out the developer preview blog I wrote last fall to learn the basics, and you may also be interested in this video on Ansible Rulebooks, as well as others in this playlist.

Transform your work with Event-Driven Ansible

For many IT teams, there is too much work to do and not enough time to get it all done. Event-Driven Ansible can help your team work smarter, not harder. How often are you doing routine tasks that get in the way of key priorities? How often are you needing to “drop everything” to respond to a ticket enrichment request or handle a user administration issue? Have you had to wake up at night to remediate an issue? How often are Continue reading

Event-Driven Ansible is Here

Transform your work with Event-Driven Ansible

For many IT teams, there is too much work to do and not enough time to get it all done. Event-Driven Ansible can help your team work smarter, not harder. How often are you doing routine tasks that get in the way of key priorities? How often are you needing to "drop everything" to respond to a ticket enrichment request or handle a user administration issue? Have you had to wake up at night to remediate an issue? How often are you adjusting Continue reading

Arriving soon: Red Hat Ansible Certified and validated Content Collections for Event-Driven Ansible

EDA arriving soon blog

Since we announced Event-Driven Ansible in developer preview at AnsibleFest last October, we have been working with a number of technology partners to provide integrated offerings via Ansible Content Collections for Event-Driven Ansible. We know that partner integrations are an important source of event intelligence that can be used to create full end-to-end event-driven automation across your Day 2 operations.

Many of these integrations are in the area of event-source plugins that make it possible for Event-Driven Ansible’s decisioning capability to receive intelligence about a condition in the IT environment that needs a response.

Today at Red Hat Summit, as we announce Event-Driven Ansible as a capability that will be included in Red Hat Ansible Automation Platform 2.4, we are pleased to unveil the initial set of partners who are creating Ansible Content Collections for Event-Driven Ansible. Many of these will be Red Hat Ansible Certified Content Collections, and some partners are already in the certification process. Others are planned to certify in the near future. As each Collection is complete, subscribers can find and download them in Ansible automation hub.

Keep an eye out for further communication around new certified collections, and in the meantime, Continue reading

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