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How to deploy software to Linux-based IoT devices at scale

Mar 20, 2024

The internet of things (IoT) has transformed the way we interact with the world, connecting a myriad of devices to the internet, from smart thermostats in our homes to industrial sensors in manufacturing plants. A significant portion of these IoT devices relies on the Linux operating system due to its flexibility, robustness, and open-source nature.Deploying software to Linux-based devices, at scale, is a complex and critical process that requires planning, well-thought-out processes, and adherence to best practices to ensure the stability, security, and manageability of the IoT fleet. In this article, we’ll explore some best practices for deploying software on large fleets of Linux-based IoT devices.To read this article in full, please click here

A change in the machine learning landscape

Mar 19, 2024

Federated learning marks a milestone in enhancing collaborative model AI training. It is shifting the main approach to machine learning, moving away from the traditional centralized training methods towards more decentralized ones. Data is scattered, and we need to leverage it as training data where it exists.This paradigm is nothing new. I was playing around with it in the 1990s. What’s old is new again… again. Federated learning allows for the collaborative training of machine learning models across multiple devices or servers, harnessing their collective data without needing to exchange or centralize it. Why should you care? Security and privacy, that’s why.To read this article in full, please click here

JetBrains unveils CI/CD service for smaller teams

Mar 19, 2024

JetBrains has launched a public beta version of TeamCity Pipelines, a cloud-based CI/CD (continuous integration/continuous delivery) service for small and medium-sized software engineering teams.Unveiled March 18, TeamCity Pipelines is intended to enable small development teams to automate the process of integrating code changes, testing them, and delivering an application. JetBrains said the goal was to provide an intuitive platform for running devops pipelines with minimum complexity. The combination of a user-friendly UX with intelligence and optimization features for small teams minimize disruptions for developers, the company said.To read this article in full, please click here

Evaluating databases for sensor data

Mar 18, 2024

The world has become “sensor-fied.”Sensors on everything, including cars, factory machinery, turbine engines, and spacecraft, continuously collect data that developers leverage to optimize efficiency and power AI systems. So, it’s no surprise that time series—the type of data these sensors collect—is one of the fastest-growing categories of databases over the past five-plus years.However, relational databases remain, by far, the most-used type of databases. Vector databases have also seen a surge in usage thanks to the rise of generative AI and large language models (LLMs). With so many options available to organizations, how do they select the right database to serve their business needs?To read this article in full, please click here

Securing Azure Kubernetes with Falco

Mar 15, 2024

Falco, the open-source, cloud-native, runtime security tool, recently graduated from the Cloud Native Computing Foundation’s incubation program. That means it’s considered stable and ready for use in production environments, including Azure. It joins many of the key components of a cloud-native platform including Helm, Envoy, etcd, KEDA, and Cloud Events.I recently had a conversation with Loris Degioanni, the CTO and founder of cloud-native security company Sysdig and the creator of Falco, about the philosophy behind the project and how it’s being used across Kubernetes applications.To read this article in full, please click here

Why public cloud providers are cutting egress fees

Mar 15, 2024

Public cloud providers are often loathed for charging data transfer or “egress fees” for removing data from a specific cloud provider. If you move data out of a cloud provider, there’s a cost; for instance, you move inventory data from an inventory system residing in a public cloud provider to a supply chain system on premises or perhaps even on another public cloud provider.This is the number one complaint about cloud providers that I hear. The fee is thought of as arbitrary and counterproductive to using the cloud with systems that exist outside of a specific provider. In some cases, it’s a reason applications are not in a cloud today.The writing on the wall This customer discontent is not lost on cloud providers, who are initiating a significant shift in their pricing strategies by reducing these charges. Google Cloud announced it would eliminate egress fees, a strategic move to attract customers from its larger competitors, AWS and Microsoft. This was not merely a pricing play but also a response to regulatory pressures, greater competition, and the significantly lower cost of hardware in the past several years. The cloud computing landscape has changed, and providers are continually looking for ways to differentiate themselves and attract more users.To read this article in full, please click here

OutSystems unveils no-code AI Agent Builder

Mar 13, 2024

Low-code development platform provider OutSystems has released AI Agent Builder, a no-code tool for building custom generative AI agents using large language models (LLMs) from Azure OpenAI or Amazon Bedrock.To read this article in full, please click here

DBOS Cloud overturns database-on-OS conventions for speed

Mar 12, 2024

PostgreSQL pioneer Mike Stonebraker and Spark creator Matei Zaharia, along with other computer scientists at MIT and Stanford have come up with a new database-oriented operating system (DBOS) to help development of greenfield web applications.They have set up a company, DBOS Inc., to make the OS available to developers.Its first product, DBOS Cloud, launched Tuesday, is a transactional serverless application platform, also sometimes defined as functions-as-a-service (FaaS). It is offered via Amazon Web Services (AWS) using the open-source virtual machine monitoring service Firecracker and is powered by the DBOS operating system.To read this article in full, please click here

How AI has already changed coding forever

Mar 12, 2024

Last week MongoDB CEO Dev Ittycheria likened present-day AI to the “dial-up phase of the internet era.” He’s not wrong. I recently suggested we’re in the “awkward toddler phase” of generative AI (genAI). It’s full of excitement (“her first step!”), but straightforward tasks are clumsy, like basic math. Yet in some areas, the future of generative AI is happening right now. One area is coding assistants such as Amazon CodeWhisperer.To read this article in full, please click here

Make the most of GPUs for machine learning applications

Mar 12, 2024

While graphics processing units (GPUs) once resided exclusively in the domains of graphic-intensive games and video streaming, GPUs are now equally associated with and machine learning (ML). Their ability to perform multiple, simultaneous computations that distribute tasks—significantly speeding up ML workload processing—makes GPUs ideal for powering artificial intelligence (AI) applications. The single instruction multiple data (SIMD) stream architecture in a GPU enables data scientists to break down complex tasks into multiple small units. As such, enterprises pursuing AI and ML initiatives are now more likely to choose GPUs instead of central processing units (CPUs) to rapidly analyze large data sets in algorithmically complex and hardware-intensive machine learning workloads. This is especially true for large language models (LLMs) and the generative AI applications built on LLMs.To read this article in full, please click here

Why your generative AI systems are stupid

Mar 12, 2024

This Axios article states what we already know: The responses coming from many generative AI (genAI) systems are misleading, not what the users asked for, or just plain wrong. The public issue is that Microsoft software engineering lead Shane Jones sent letters to FTC chair Lina Khan and Microsoft’s board of directors on March 6 saying that Microsoft’s AI image generator created violent and sexual images and used copyrighted images when given specific prompts.To read this article in full, please click here

Are the different public clouds really that different?

Mar 08, 2024

In the rapidly evolving landscape of IaaS cloud computing, public cloud providers are increasingly reaching feature and function parity. This means they are beginning to look alike.Before you keyboard warriors remind me that some obscure feature in the object storage system on one provider is better than the object storage feature on another provider, I know they are not exactly the same. I think it’s okay to consider that they are all moving to a similar group of services that do the same things.How did it get this way? This development creates a competitive dynamic between these providers and offers new opportunities and challenges for enterprises. If we have three major cloud providers and three other providers that are catching up quickly, then it’s no longer reasonable to point to a single provider as the one to use. There’s no “best cloud” anymore.To read this article in full, please click here

Kubernetes is (not) a cost optimization problem

Mar 07, 2024

Kubernetes has become the de facto way to schedule and manage services in medium and large enterprises. Coupled with the microservice design pattern, it has proved to be a useful tool for managing everything from websites to data processing pipelines. But the ecosystem at large agrees that Kubernetes has a cost problem. Unfortunately, the predominant way to cut costs is itself a liability.The problem is not Kubernetes. The problem is the way we build applications.To read this article in full, please click here

Netlify AI analyzes failed deployments

Mar 07, 2024

Web development platform provider Netlify has added AI-enabled deploy assist capabilities to its Composable Web Platform.Unveiled March 7, AI-enabled deploy assist analyzes failed deployments and offers suggestions to correct errors. Netlify said the feature is intended to reduce the time developers spend manually reviewing logs and debugging failed builds, ensuring failed builds do not become bottlenecks and improving the developer experience.Netlify CTO Dana Lawson explained how the company’s AI addresses issues across toolsets. “When building composable architectures, teams are pulling in tools, content, and integrations that suit them best. When issues happen, it’s not always clear what part of your composable architecture is having issues. It could be code, configuration, etc,” Lawson said.To read this article in full, please click here

Cloudflare announces Firewall for AI

Mar 05, 2024

Cloudflare has announced the development of Firewall for AI, a protection layer that can be deployed in front of large language models (LLMs) that promises to identify abuses before they reach the models.Unveiled March 4, Firewall for AI is intended to be an advanced web application firewall (WAF) for applications that use LLMs, comprising a set of tools that can be deployed in front of applications to detect vulnerabilities and provide visibility into the threats to models.To read this article in full, please click here

Why we need both cloud engineers and cloud architects

Mar 05, 2024

Are you a cloud architect, engineer, or neither? The question will get you more blank stares than good explanations due to the confusion around two roles that perform separate but equally important duties.I’ve held both roles. I was a software engineer early in my career, then morphed into an architect, then an executive architect. The trouble is that we tend to conflate both roles these days. The lines between engineering and architecture have blurred. We’re obtaining engineering certifications that say “architect” and architecture certifications that say “engineer.” The former is the most common, leading to considerable confusion.First, I don’t care if you mislabel something, but I will correct you if you do. The confusion I’m seeing is leading to hiring mistakes and misunderstanding of what skills to apply where.To read this article in full, please click here

The open source problem

Mar 04, 2024

Folks, we have an open source problem. And, no, it’s not the problem some think. You’ll hear people rail against corporations that falsely describe their code as open source. Sometimes they’re correct. You’ll hear others bemoan the influx of venture-backed companies that dilute the meaning of open source to fuel corporate gains. Sometimes they’re correct.But the problem isn’t the companies. At least, that’s not the primary problem. Businesses piggybacking on open source branding in pursuit of commercial gains is nothing new. The difference is that, over the past few years, free and open source software has lost its way, leaving developers (and businesses) just one option: permissive, Apache-style licensing. The first kind of open source licensing was, as its sometimes prickly and pedantic adherents insist, not “open source” at all, but rather copyleft, free software licensing like the GPL. (“We want people to know we stand for freedom, so we do not accept being mislabeled as open source supporters,” said Richard Stallman.)To read this article in full, please click here

Couchbase Server and Capella to gain vector support

Mar 01, 2024

NoSQL document-oriented database provider Couchbase on Thursday said that it was working to add support for vector capabilities to its database offerings, including  its Capella managed database-as-a-service (DBaaS).The vector capabilities will include similarity search and retrieval-augmented generation (RAG), the company said, adding that the addition of these capabilities will also enhance the performance of the database as all search patterns can be supported within a single index to lower response latency.To read this article in full, please click here

Elon Musk sues OpenAI alleging breach of founding agreement

Mar 01, 2024

The lawsuit could hold far reaching implications for Microsoft’s use of GPT-4 and other upcoming models in its products.

Questioning cloud’s environmental impact

Mar 01, 2024

I recently participated in a documentary called “Clouded II: Does Cloud Cost the Earth?” Please watch it. It looks at the issues surrounding cloud computing, its consumption of power, and thus its potential impact on the planet.The documentary did an excellent job of balancing perspectives. I don’t think anyone is arguing that data centers should not exist, but those data centers should be efficient and minimize power consumption. This means optimizing the resources we use and moving away from the “store all the data” mentality we’ve had for the past 50 years. We created 64 zettabytes of global data in 2020, and it has gotten worse in the years since.To read this article in full, please click here

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