Operations | Monitoring | ITSM | DevOps | Cloud

FinOps 2.0: From "Cost Dashboards" to "Autonomous Kubernetes Optimization" and "FinOps as Code"

The cloud waste problem shows up everywhere. It points to how complicated things have gotten with modern setups. Some groups see waste hitting 80 percent. That makes sense when people check dashboards only now and then. Reports come in way too late to do much about it. Cloud spending will top 825 billion dollars by 2025. For lots of companies, those costs match up with payroll now. Still, handling them often feels like just following loose suggestions.

Welcome to the Next Frontier: AI on Kubernetes

Last week’s KubeCon Atlanta made one thing abundantly clear, Kubernetes is quickly becoming the de facto platform for AI workloads – with the event lineup chock full of talks, workshops, and even co-located events dedicated to AI, machine learning and running data on Kubernetes natively – with approximately 50 (!) sessions in total focused on AI, ML, LLM, and GenAI topics.. What was until now mostly PoCs and aspirational is now truly delivering in production.

KubeCon NA 2025: Three Core Kubernetes Trends and a Calico Feature You Should Use Now

The Tigera team recently returned from KubeCon + CloudNativeCon North America and CalicoCon 2025 in Atlanta, Georgia. It was great, as always, to attend these events, feel the energy of our community, and hold in-depth discussions at the booth and in our dedicated sessions that revealed specific, critical shifts shaping the future of cloud-native platforms.

How to Turbocharge Your Kubernetes Networking With eBPF

When your Kubernetes cluster handles thousands of workloads, every millisecond counts. And that pressure is no longer the exception; it is the norm. According to a recent CNCF survey, 93% of organizations are using, piloting, or evaluating Kubernetes, revealing just how pervasive it has become. Kubernetes has grown from a promising orchestration tool into the backbone of modern infrastructure. As adoption climbs, so does pressure to keep performance high, networking efficient, and security airtight.

How generative AI solves healthcare's 1% carbon footprint

The healthcare industry accounts for 1% of the global carbon footprint, and a single PET CT scan can generate 60kg of CO₂! Regent Lee, Professor at the University of Oxford and moonshot engineer, reveals how Civo-powered Generative AI is transforming radiology. His team's solution eliminates pharmaceutical contrast injections, digitally displacing the pollution. This technology makes radiology safer, more efficient, and significantly greener for the environment. Sustainability in healthcare is non-negotiable.

Pepperdata Launches Global Partner Program to Optimize Efficiency and Spend for GPUs and Kubernetes Workloads Worldwide

Pepperdata announces launch of its Global Partner Program, a bold new initiative that brings together systems integrators, technology providers, and consultancies with Pepperdata's dynamic resource optimization platform for the cloud and on-premises environments.

Lessons from KubeCon: What "Best-of-Breed" AI SRE Really Requires

This year’s KubeCon underscored a real shift: AI SRE has gone mainstream. Of course, it’s not a surprise. Teams from high-growth startups to Fortune 500s are running more complex, cloud-native systems, shipping more AI-generated code, and facing rising expectations. Downtime is absolutely not an option and the work for on-call SREs has become unsustainable. The question isn’t whether AI SRE helps. It’s which one you can trust in production.

5 Reasons to Switch to the Calico Ingress Gateway (and How to Migrate Smoothly)

The Ingress NGINX Controller is approaching retirement, which has pushed many teams to evaluate their long-term ingress strategy. The familiar Ingress resource has served well, but it comes with clear limits: annotations that differ by vendor, limited extensibility, and few options for separating operator and developer responsibilities. The Gateway API addresses these challenges with a more expressive, standardized, and portable model for service networking.

Free cloud credits: Why your architecture gets lazy and bloated

This is the uncomfortable truth about cloud credits: Short-term savings mask crippling long-term costs. Taken from our recent webinar, Civo CCO Simon Hansford and Canopy Founder James Marks expose the primary concerns of the credit model. Credits act as a dangerous incentive for architectural laziness. When cost isn't a factor, you stop designing for efficiency, leading to bloated, inefficient infrastructure and the inevitable bill shock.

What is AWS Fargate for Amazon ECS?

As cloud applications moved from VMs to containers and then to microservices, the amount of background work needed to keep everything running grew just as quickly. You gain speed and flexibility, but you also end up managing clusters, scaling rules, and capacity choices that don’t really add to the product you’re building. AWS Fargate steps in right there. It lets you run your ECS tasks without looking after any servers at all.

Tame multi-cluster chaos. A Platform Engineer's guide to distributed Kubewarden Policies with Fleet

For platform engineers managing multiple Kubernetes clusters, maintaining policy consistency is a constant struggle. Manually applying security rules across a growing fleet of clusters is inefficient and error-prone. This approach creates significant risks: As your environment scales, this operational burden becomes unsustainable. Each out-of-sync policy represents a potential security gap, increasing the cluster’s attack surface.

3 Signals From KubeCon Atlanta On Where Kubernetes Is Heading Next

KubeCon Atlanta 2025 felt different this year — and CloudZero had a full team on the ground to capture it. Engineers, product leaders, sales reps, and CTO Erik Peterson spent three days embedded across the show floor. Their vantage points were complementary: the outbound conversations, the inbound questions, the demos, the technical deep-dives, and the quieter moments between sessions. Five perspectives stood out.

The AI Workload Punishes Bad Habits

The AI workload presents the ultimate challenge, highlighting the structural limitations of the traditional hyperscaler model. In this segment from a Civo Navigate London 2025 session, Kelsey Hightower explains exactly why AI adoption forces enterprises to confront flawed architecture and rising astronomical costs. When specialized hardware is scarce and rented GPUs sit idle at a premium, it’s clear that traditional cloud providers were not built for this era. Data that didn't move is forcing organizations to move compute back to where it lives.

The 3 AI Jobs That Didn't Exist 2 Years Ago!

People worry about AI taking jobs, but what about the new roles AI is creating? James Faure, CEO of Clairo AI, breaks down the three essential non-technical jobs that have emerged in the last two years: Prompt Engineers, Context Architects, and Evaluators. Learn the crucial skills needed to be highly employable in the future of AI.

Sysdig Team - What does good collaboration look like?c

In this video, our team shares how we work together to move fast, stay aligned, and build impact- across engineering, product, design, marketing, and beyond. You’ll hear honest perspectives on: Whether you're part of Sysdig or just curious how high-performing teams operate, this behind-the-scenes look highlights the mindset and culture that power everything we do.

Build Your Kubernetes Monitoring Foundation with kube-prometheus-stack

When you run Kubernetes at scale, one of the first challenges is understanding what the cluster is actually doing. Workloads shift around, pods restart for normal reasons, and traffic doesn't always follow the patterns you expect. Having clear signals makes day-to-day operations much easier. That's where kube-prometheus-stack helps. It brings Prometheus, Grafana, Alertmanager, and supporting components together as a single package.

Canonical Kubernetes officially included in Sylva 1.5

Sylva 1.5 becomes the first release to include Kubernetes 1.32, bringing the latest open source cloud-native capabilities to the European telecommunications industry With the launch of Sylva 1.5, Canonical Kubernetes is now officially part of the project’s reference architecture. This follows its earlier availability as a technology preview in Sylva 1.4.

AI Table Stakes: The Enterprise Reality Check

This 5-minute critique pulls back the curtain on where AI is succeeding and where the biggest challenges remain. Experts expose the gap between market hype and reality: the failure to deploy fully autonomous production agents and the missing human-machine interface for non-developers. It’s a challenge to the entire industry.

Densify Announces Kubex AI to Simplify and Democratize Resource Optimization

Densify has announced Kubex AI, a major leap forward in how organizations optimize complex Kubernetes and AI environments. This new solution combines verticalized AI for resource optimization with a conversational interface, empowering anyone—regardless of technical background—to access expert-level analytics and automation through simple, natural-language interactions.

How Hyperscalers Use Credits to Keep You Hooked!

The hyperscaler model is built on bait: generous cloud credits for years, especially if you're VC-backed. But there's a serious catch. In this clip, Canopy's James Marks talk about the expected consequence of taking those "free" credits. It's not just about attracting customers; it's about deepening reliance on proprietary platform-native tools. It’s the ultimate vendor lock-in strategy, making it costly and complicated to break away later.

How companies in India are using Civo to improve their cloud costs and data sovereignty

As the Indian cloud market continues to grow, businesses are increasingly looking for ways to manage their cloud costs effectively while ensuring data sovereignty. At Civo, we've seen firsthand how our cloud and AI platform can help companies achieve these goals. In this blog, we'll explore how three of our customers in India - KubeNine, BeezLabs, and OpsMx - have leveraged Civo to improve their cloud costs and data sovereignty.

CloudZero: Making Kubernetes Costs Transparent And Actionable

Kubernetes is now the backbone of modern software infrastructure, helping teams deploy, scale, and manage applications efficiently across clouds. But when it comes to understanding costs, Kubernetes remains opaque. Teams often can’t answer basic questions like: How do you solve the gap between engineering usage and financial visibility? CloudZero’s new Kubernetes capabilities are built to address this challenge.

Cloud Credits: The Hidden Lock-In Strategy Hyperscalers Use

In this 5-minute clip from our recent webinar, Canopy's James Marks exposes the most dangerous side-effect of the cloud credit model: the migration loop. Instead of building their product, companies spend months hopping between vendors to chase new credits, falling into a cycle of constant, costly re-architecting. Simon Hansford provides clear advice for the best companies: build your architecture for portability on day one. Restrict proprietary features to maintain optionality and avoid the "entrenched phase.".

Improve Kubernetes reliability faster with Gremlin and Dynatrace

It’s now easier than ever to start testing Kubernetes with Dynatrace and Gremlin. With a new strategic integration, Kubernetes services set up in Dynatrace are automatically discovered in Gremlin to make testing set up simple and fast. At a time when AI is driving massive expansions in infrastructure and dramatically increasing deployment speed, being able to set up and test new services quickly is more important than ever. ‍

What Happens When You Mix AI With Docker?

Discover how Docker is empowering developers in the GenAI era with tools that simplify AI application development. Docker VP of Product Michael Donovan shares how containers are critical for building, testing, and scaling GenAI applications, plus real solutions for the biggest challenges developers face today.

Building smarter with AI: Why legacy infrastructure is the biggest bottleneck

Josh Mesout (Chief Innovation Officer at Civo) took the main stage at Civo Navigate London 2025 to deliver a critical message: The AI revolution isn't just coming, it's here, and the way companies are built is changing faster than ever before. His session cut through the hype, delivering hard data on what separates the companies that scale AI from the ones that sink money into failed prototypes. The takeaway is blunt: The biggest threat to your AI ambition isn't the model; it’s your infrastructure.

Catch and remediate ECS issues faster with default monitors and the ECS Explorer

Organizations that run applications on Amazon Elastic Container Service (Amazon ECS) often juggle signals across container and task metrics, logs, and events while they hunt for the change or condition that broke a deployment. This work adds operational overhead and extends incident timelines as teams switch between tools and manually correlate symptoms.

The High Cost of Vendor Lock-In in Cloud Computing and How to Avoid it

Cloud vendor lock-in threatens agility and raises costs. Discover the high price of proprietary services, egress fees, and technical entrenchment, plus the strategic roadmap to escape. Learn how embracing open standards, Kubernetes, and an exit strategy from day one ensures long-term flexibility and control.

What's New in Calico - Fall 2025 Release

As organizations scale Kubernetes and hybrid infrastructures, many are realizing that more tools don’t mean better security. A recent Microsoft report found that organizations with 16+ point solutions see 2.8x more data security incidents than those with fewer tools. Yet platform teams are still expected to deliver resilience and performance across containers, VMs, and bare metal, often while juggling fragmented tools that introduce risk, downtime, and complexity.

Autonomous Self-Healing Capabilities for Cloud-Native Infrastructure and Operations

Modern cloud-native infrastructure was adopted to increase agility and scale, but as it grows in scale and complexity, engineering teams are now drowning in operational noise. Industry research (The State of Observability for 2024) reveals that 88% of technology leaders report rising stack complexity, while 81% say manual troubleshooting actively detracts from innovation.

Deploying Dgraph Clusters to Cycle

One of the best parts of my job is helping Cycle users explore self-hosting options on the platform. This time, I had the pleasure of working with Dgraph (now a part of Hypermode). If you haven't heard of it, Dgraph is a distributed, horizontally scalable graph database that gives you a native graph storage/compute engine with distributed ACID transactions (via Raft and snapshot isolation) and first-class GraphQL.

Densify Releases New MCP Server to Bring AI-Driven Resource & GPU Optimization to Platform Teams

As excitement builds for KubeCon North America 2025 in Atlanta, Densify has released its latest innovation for Kubernetes and AI-driven infrastructure resource management: the Densify Model Context Protocol (MCP) Server. This new capability enables organizations to securely integrate Densify’s Kubex resource optimization intelligence directly into popular LLM-powered tools — including ChatGPT, Claude, Cursor, and Gemini CLI.

AI Eliminates Pollution Risk: Oxford's Digital Contrast, Powered by Civo.

The future of medicine is here: Oxford's digital contrast AI is powered by Civo! Watch as Regent Lee, Professor at the University of Oxford and moonshot engineer, reveals a revolutionary solution to healthcare’s biggest hidden problem. Radiology currently accounts for 1% of global carbon emissions, with a single PET CT scan generating up to 60 kg of carbon, while forcing patients to endure long waits and chemical injections. Old habits cause slow systems.

What we learnt about digital sovereignty at Civo Navigate London 2025

The concept of digital sovereignty has become increasingly important in today's technology-driven world. As organizations rely more heavily on cloud services and artificial intelligence (AI), they face new challenges in maintaining control over their data and IT resources. At Civo Navigate London, we brought together industry leaders to discuss the topic of digital sovereignty and its implications for the cloud industry.

How to Optimize GPU

The Problem: AI workloads are dynamic, unpredictable, and expensive. Data prep can choke your pipeline, training jobs hog GPUs without awareness, and inference, the most latency-sensitive phase, is notoriously hard to scale efficiently. Worse, traditional infrastructure tools treat GPU as a static commodity, ignoring model intent, workload shape, and sharing capabilities.

Orbital Materials: WorldClass AI Models Built on CivoStack

Daniel Miodovnik, COO of Orbital Materials, explains how the CivoStack enables world‑class AI models that outperform the big‑tech giants. He outlines the power‑draw and cooling of megawatt‑scale GPU racks, the water‑ and CO₂‑intensity of today’s data centres, and why a sovereign, Civo‑based solution is the key to speed, and predictable costs.