Cloud

Someone recently put me on to <a href="https://www.insynchq.com/" target="_blank">insync</a>, a new way to use <a href="https://drive.google.com" target="_blank">Google drive</a>. I've had two main issues with Google's drive application:<ol><li>That it will only work with one Google account (with three active ones, that's not very helpful).</li><li>That when you open a file in finder/explorer it opens up a browser, which seems a rather pointless user of a desktop application.</li></ol>

Crate.io focuses on database simplicity and horizontal scalability. We aim to make scaling your data from millions to billions of records and beyond as simple as possible.

Cloud Next is Google’s regular conference that covers all their cloud-related products. That’s something of a vague and overarching classification, but I squeezed into the Google office in Berlin to watch a live stream of the event and will get you all up to speed.

This talk with Cloud Foundry's Chip Childers covers the company's history, its tools, and how organizations are using them in production environments.

This talk with Cloud Foundry's Chip Childers covers the company's history, its tools, and how organizations are using them in production environments.

Check out a key interview with one of the key developers behind the Apache Web Server about the Hyperledger Foundation, which aims to bring blockchain mainstream.

Listen in on this half-hour podcast interview with OpenStack's release manager, covering how to manage projects with large numbers of contributors.

As serverless's popularity grows, so have the number of FaaS providers. Let's break down what's out there, how they work, and whether they're right for you.

The big question with any paid service is whether the cost justifies the features. Let's break down the Kontena SaaS platform so you can decide.

Chef recently introduced the Habitat tool, bringing Chef's advantages to automation and continuous integration. Learn about the suite of tools that make it possible.

I spoke with the three founders of replex.io who aim to help you identify infrastructure inefficiencies at every level of a stack.

This week brought the release of the latest version of Ubuntu - 18.04 - so read up on the details about the newest LTS release.

With more complications than initially expected, public and private cloud infrastructures are quickly giving way to their combination: hybird clouds.

Straight from KubeCon and Cloud Native Con 2018, here are some of the most exciting announcements from Microsoft, Cloud 66, Bitnami, and others.

If you are employing cross datacenter or ahybrid cloud infrastructure, then your containers, services, and endpoints need to be able to communicate with each other, preferably in the most straightforward and fastest ways possible. This post showcases some of the options available to you, and how they compare.

Take a look at this developer's reflection on African involvement in technology and the challenges that African entrepreneurs and technologists face.

Take a look at some of the best tools and methods for getting your distributed applications debugged and back in business.

The latest cloud and DevOps news from Berlin.

To find out more about the Kata Containers project, including how they compare to other solutions, and recent developments, I spoke with the team.

Stop pushing and start pulling with this new continuous delivery tool for Kubernetes, straight from IBM at KubeCon.

Get it first from IBM Cloud Platform CTO Jason McGee about what IBM Cloud is about, who it's for, and what it offers.

Take a look at how StarlingX as an edge computing platform provides support for multiple low-latency use cases as well as a number of useful features.

Take a look at how StarlingX as an edge computing platform provides support for multiple low-latency use cases as well as a number of useful features.

As big Kubernetes users ourselves, we know that one of the best ways to run Kubernetes is to use Google Kubernetes Engine (GKE). Earlier this year, Google Cloud announced a new mode for running GKE called Autopilot. Google Cloud designed Autopilot to reduce the operational cost of managing clusters, optimize clusters for production, and yield higher workload availability. Autopilot takes a lot of the legwork and complexity out of managing Kubernetes clusters, saving you time and money. But, like all critical infrastructure, you still need a plan for monitoring and observability for the cluster. That’s where Chronosphere comes in.

The move to the cloud promised to save users money and give them insights into their usage and costs. However, the opposite happened. A 2025 report from AAG stated that around 82% of respondents found cloud spending challenging. A cloudzero report from 2024 states that more than 20% of respondents had no clear idea of their cloud costs, with reports for large users sometimes consisting of thousands of rows of hard-to-read usage data.

Many organizations work with clients and infrastructure around the world and face significant challenges ensuring they follow privacy regulations as their application data flows across borders. This post looks at how you can use Bacalhau to handle distributed cross-border processing and anonymize data with Microsoft Presidio to help meet some of these requirements.

When the modern-day internet began emerging in the early 2000s, finding hosting services and resources to run the new wave of dynamic web applications was hard. You needed a database to store application data. These were slow, expensive, and unreliable, regularly bringing applications to a grinding halt when a single instance failed. You needed a server to run interpreted languages like PHP, Python, or Ruby. These were equally expensive, often needed configuration, had security issues, and frequently ran out of memory or CPU resources, again bringing applications to a grinding halt.

Machine Learning requires vast amounts of resources, and distributing these resources across multiple devices and regions helps with cost, speed, and data sovereignty. Bacalhau is an open-source distributed orchestration framework designed to bring compute resources to the data where and when you want, drastically reducing latency and resource overhead. Instead of moving large datasets around networks, Bacalhau makes it easy to execute jobs close to the data’s location, reducing latency and resource overhead.