Operations | Monitoring | ITSM | DevOps | Cloud

GenAI in Action: Strategies for Business Transformation

As Generative AI continues to reshape industries, staying informed is key to unlocking new opportunities and driving success. In 60 minutes, join our expert-led webinar to gain a comprehensive understanding of GenAI, its benefits, and applications in business. Our session will cover the key trends, ecosystem shifts, and business value of GenAI, as well as provide a step-by-step guide on how to develop a GenAI strategy and overcome common adoption challenges.

Top 5 Modern CI/CD Tools in 2025

In the ever-growing ecosystem of infrastructure and software development, where tools like Kubernetes introduce complexity and hyperscalers welcome sprawl, it's more important to have your SDLC buttoned up and as efficient as possible. CI/CD, one of Cycle's noble sidekicks, is important in kicking off the SDLC, and having a tool that gets the job done without introducing extra complexity or constraint is paramount.

Solving Infrastructure Challenges: Real Use Cases in On-Prem, Bare Metal, and Hybrid Environments

Bridging the gap between cloud agility and bare metal performance has always been a delicate dance of stakeholder priorities, time, and money. From the beginning, Cycle set out to be one of the best Kubernetes alternatives. We empower users, giving them autonomy to make crucial infrastructure decisions, instead of locking them into the control of hyperscalars or getting lost in bloated ecosystems.

Fix What Matters: SUSE Application Collection Adds Real Context to CVEs With OpenVEX

If you’re working with containers, SBOMs or any kind of vulnerability scan, you know the drill. Every scan lights up like a Christmas tree. Critical, high, medium and low vulnerabilities. It feels that the list will always go on. The goal is always zero CVEs. And while that sounds great, it’s not realistic. They come at such a high pace, and sometimes they are really hard to resolve. Teams are spending time chasing vulnerabilities that don’t matter.

Kubernetes Logs: How to Collect and Use Them

If you’ve worked with Kubernetes, you know logs are essential for understanding what’s happening inside your clusters. However, unlike traditional servers, Kubernetes logs present their unique challenges. Pods frequently start and stop, containers restart regularly, and logs stored locally can be lost quickly. Because of this, managing logs in Kubernetes requires a different approach.

Docker Container Lifecycle: Key States and Best Practices

You’ve probably run a lot of Docker containers, but do you know what happens behind the scenes? The Docker container lifecycle is the path a container follows from being created to running, stopping, and finally getting removed. Understanding these steps helps you figure out why a container might not start or when to restart it instead of creating a new one.

Kubernetes observability: How to enrich logs with GeoIP using the Kubernetes Monitoring Helm Chart

When your Kubernetes app suddenly has traffic spikes in a distant country, it can be difficult to determine why. Let’s say, for example, we have an e-commerce app that started to receive an unusual surge of visitors from Australia — something we never anticipated. We search for answers in our logs, but without geographic context, we don’t have the full insights we need.

#044 - Scaling Platforms and Pioneering AI Agents with Hasith Kalpage (Outshift by Cisco)

Join us as Hasith Kalpag, Head of Platform Engineering at Outshift by Cisco, shares his fascinating journey. Hear about his experience leading the massive WebEx transformation to cloud-native using Kubernetes, including the intense push during the COVID-19 response, where they went from zero to over 50 production clusters in just three months.

relaxAI API Tutorial: Getting Started with Secure and Private AI

Join Kunal Kushwaha, Field CTO, as he demonstrates how to get started with relaxAI API using Python, and explores its seamless integration with OpenAI API. Learn how to connect your API key, make requests, and parse responses. Start building private and secure AI applications today with relaxAI API!

Komodor + Backstage: Bringing Kubernetes Visibility into the Leading Open Source IDP

Platform engineering has emerged as the natural progression of DevOps—not a replacement as some may think, but rather more of a refinement. While DevOps broke down silos and encouraged shared responsibility, it often left teams fending for themselves across sprawling infrastructure stacks. Developers were promised autonomy, but were instead overwhelmed by the burden of managing CI/CD, security, observability, infrastructure provisioning, and more.

Securing Containers at Scale: Docker Hardened Images + Cloudsmith

Containers have been with us for a while and are ubiquitous in the Secure Software Development Life Cycle (SSDLC). According to some reports, nearly 60% of organizations use containers for most or all of their production applications. It’s no surprise really, as containers provide consistency and standardization across the lifecycle while speeding up delivery pipelines. They revolutionized how we develop and deploy apps in the cloud and there is no sign of this changing anytime soon.

ChatGPT vs relaxAI: What's the Difference for Your Data?

Discover how relaxAI, Civo's AI assistant, prioritizes data privacy and security. If you're concerned about data privacy with AI assistants like ChatGPT, relaxAI is a great alternative. relaxAI takes a unique approach by bringing the LLM to your data, giving you control over your infrastructure and data.

Port + Komodor: Bringing Kubernetes Visibility into the Modern Commercial IDP

Internal Developer Portals (IDPs) are no longer just an experimental concept—they’re now a foundational component of modern software delivery. As engineering organizations look to reduce cognitive load, increase self-service, and streamline infrastructure workflows, IDPs have emerged as the most effective way to productize platform engineering.

How We Built an Agentic DevOps Copilot to Automate Infrastructure Tasks and Beyond

At Qovery, our goal is simple: eliminate the grunt work of DevOps. The idea of an assistant that can understand developer intent and autonomously take action on infrastructure has always felt like the holy grail. In February 2025, we started building that assistant - our DevOps Copilot. Today, our Agentic DevOps Copilot is live in Alpha. It helps developers automate deployments, optimize infrastructure, and answer advanced configuration questions. But getting here took multiple iterations.

Streamline Your Development Process with relaxAI!

Join Ben Norris, AI Engineer at Civo, as he showcases the capabilities of relaxAI, our AI-powered coding tool. In this demo, Ben demonstrates how relaxAI can be used to build a website, create a Kubernetes deployment, and generate a Docker image with ease. Watch as he explores the features and benefits of relaxAI and see how it can simplify and accelerate your coding workflow. This is a recording taken from a Disruptive Tech event in London, sponsored by Civo.

Harvester 1.5 Extends Kubernetes-Native Virtualization to ARM64and CSI-Compliant Storage

As organizations move beyond traditional hypervisors, Harvester continues to lead the way as an open source, Kubernetes-native virtualization solution. With the release of Harvester 1.5, users now have greater flexibility and ecosystem alignment than ever before—with General Availability (GA) for ARM64 and support for CSI-compatible storage backends. Harvester is part of a growing shift toward cloud-native infrastructure that unifies VMs and containers under the Kubernetes API.

Stay Ahead of India's Data Regulations with Civo's Sovereign Cloud

As India continues its digital transformation, data sovereignty and compliance have become top priorities for businesses. Civo's India Sovereign Cloud is designed to meet the evolving needs of Indian businesses, providing a secure and compliant cloud infrastructure that empowers organizations to scale securely within the country. Learn more about our cloud solution and how it can help your business stay compliant, secure, and ready for the future. -► civo.com/India.

Is observing TLS traffic through eBPF a security risk?

Monitoring deployed applications with eBPF is quickly becoming the standard for good reasons, eBPF: Revolutionizing Observability for DevOps and SRE Teams. Not in the least because it allows monitoring to be a purely operations affair, instead of having to instrument each and every application individually. The security-conscious SRE and SRE manager will immediately ask the question: is this secure? And how about this claim that HTTPS traffic can be monitored?

Real-Time, Automated Resource Optimization for Kubernetes Workloads

Struggling with underutilized Kubernetes resources or rising cloud costs? Learn how Pepperdata Capacity Optimizer delivers real-time, automated resource optimization for Kubernetes and Amazon EMR workloads—helping teams reduce costs and boost performance without manual tuning. In this video, discover how Pepperdata helps DevOps, platform engineers, and FinOps teams.

Heroku vs AWS: Differences & What to Choose for Mid-Size & Startups in 2025?

Heroku and AWS offer distinct benefits for startups and mid-size companies. This guide compares pricing, scalability, security, and developer experience to help you choose the right cloud platform based on your team’s needs and growth goals.

Auto Scaling of Kubernetes Workloads Using Custom Application Metrics

Orchestration platforms such as Kubernetes and OpenShift help customers reduce costs by enabling on-demand, scalable compute resources. Customers can manually scale out and scale in their Kubernetes compute resources as needed. Autoscaling is the process of automatically adjusting compute resources to meet a system's performance requirements. As workloads grow, systems require additional resources to sustain performance and handle increasing demand.

Data Sovereignty Demystified: What You Need to Know

As data continues to flow across borders, understanding data sovereignty is more important than ever. Kunal Kushwaha, explores the laws and regulations governing data storage and transfer, and the implications of data sovereignty in the UK and India. Learn how data sovereignty affects individuals, businesses, and governments, and discover the challenges and opportunities that arise from it. For organizations looking to maintain control over their data, Civo offers Sovereign Cloud solutions in the UK and India.

What's Holding Back AI Adoption in India?

Earlier this year, I spent a few weeks in India, visiting universities, speaking at meetups, and catching up with founders. What stood out wasn’t just the excitement about AI, but the focus on what it can actually do today. The curiosity about GenAI and big-picture questions around AGI is there, but most conversations centered around real needs: learning faster, applying for jobs, and getting healthier.

Pepperdata In Collaboration with AWS | Optimize Utilization and Cost for Kubernetes Workloads

In this AWS Startup Partner Spotlight, discover how Pepperdata empowers cloud-native startups to optimize their Kubernetes and Amazon EMR workloads in real time. With automated resource optimization, companies can reduce costs by an average of 30% while increasing utilization by up to 80%—without any manual tuning. Whether you're scaling rapidly or managing unpredictable workloads, Pepperdata ensures your infrastructure runs efficiently and cost-effectively from day one.

Stop Guessing, Start Measuring: Optimizing Rancher Continuous Delivery With Fleet Benchmarks

Rancher Continuous Delivery (known as Fleet) can be used in a workflow to deploy applications to many clusters. With its GitOps support, it enables downstream clusters to pull updates from a Git repository. We know of users that monitor several hundred Git repositories and deploy to a thousand clusters. To make this scale possible, several intermediate steps are necessary. First, the application is converted into separate bundles, which are then targeted at clusters.

Why Manual Tuning Fails: A Better Way to Optimize Kubernetes Workloads

As a data platform engineer, you’re tasked with running complex workloads—Apache Spark jobs, AI/ML pipelines, batch ETL—across dynamic Kubernetes environments. Performance matters. Time spent tuning matters. And so does cost. But if you’re still relying on manual resource tuning to optimize your workloads, you’re playing a losing game. Sure, you can tweak CPU and memory requests by hand. You can comb through Prometheus metrics, look at job logs, estimate peaks.

Comprehensive Guide to Developing and Deploying a Python API with Docker and Kubernetes (Part I)

In the evolving landscape of software development, containerization and orchestration have become pivotal. Docker and Kubernetes stand at the forefront of this transformation, offering scalable and efficient solutions for application deployment. This guide provides a detailed walkthrough on developing a Python API, containerizing it with Docker, and deploying it using Kubernetes, ensuring a robust and production-ready application.

Our Biggest Platform Release in Years: Virtual Providers and Virtual Machines

Cycle.io is taking a giant leap forward in 2025. Today, we're announcing the biggest platform release in years -- a release that catapults Cycle into a new era of hybrid infrastructure orchestration and cements its status as a true alternative to both Kubernetes and VMware. Now, with two massively impactful features: Virtual Providers and Virtual Machines.

New Feature: Virtual Providers - Orchestrate Hybrid Infrastructure

Your Infrastructure. Your Cloud. Anywhere. Introducing Virtual Providers—a powerful new way to turn any server or VM into part of your Cycle-managed private cloud. With just a bootable ISO generated from the Cycle platform, you can instantly bring bare metal or virtual machines online—no matter where they live. Cloud, colo, on-prem, edge, or even a server sitting in a closet. Once connected, Cycle handles the provisioning, updates, networking, and orchestration automatically.

NEW: Virtual Machines on Cycle

Run Anything, Anywhere — Now Including Virtual Machines Cycle just got even more powerful. In this video, we're announcing full support for virtual machine workloads on the Cycle platform. That means containers, functions, and now VMs—running side by side, managed through the same automation, networking, and orchestration engine. Whether it's bare metal in a colo, VMs on a cloud provider, or hardware in a homelab, Cycle brings it all together into one global private cloud.

#043 - Gaming on K8s: Stateful Servers, Low Latency, and an Incredible Infra Journey with Siddha...

In this episode, Sid, CEO of Hathora, discusses building game infrastructure, specifically for hosting dedicated servers. He shares how Hathora tackles the challenges of running stateful, low-latency, high-throughput workloads that reconcile player actions up to 60 times per second. Sid explains their approach using Kubernetes to manage compute across bare metal and cloud VMs, leveraging technologies like Talos and Civo's Omni.

12: Kubernetes Maturity, Cost Optimization, Automation & AI with Viktor Farcic

Welcome to another episode of Densify Talks! Andrew Hillier has a fun and informative conversation with Viktor Farcic. Viktor considers himself a technology critic (think of the old muppet critics on the balcony) and rapscallion. We think he’s also quite the thought leader and author, with some very bold insights on technology that are worth hearing! See Viktor’s biography below for more information about him.

What is Model Context Protocol (MCP)?

Let’s be honest, most AI (Artificial Intelligence) tools today are relatively smart but not always super useful. You ask them to explain something, write an email, maybe generate some code, but the moment you want them to do something real, like schedule a meeting, file a bug report, or move stuff across your tools, they just stare blankly. That’s where MCP comes in. MCP stands for Model Context Protocol.

The Platform Engineer's Guide to Navigating Kubernetes with Confidence

Kubernetes has quickly made itself known as the de facto platform for today’s applications and the most common way to build an infrastructure platform for application developers. Kubernetes offers immense flexibility and power, but it can introduce its own unique set of operational challenges. If you find yourself spending more time chasing down cluster issues than helping your developers work hassle-free, this guide is for you.

Shut Down Cryptojackers and Strengthen Kubernetes Security with NeuVector

The threat landscape for cloud-native environments like Kubernetes is always on the move. Attackers continuously apply sophisticated techniques. Cryptojacking, the unauthorized use of computing resources to mine cryptocurrency, is a particularly concerning threat. Cryptojacking can lead to performance degradation, increased operational costs, and potential security breaches. Recent high-profile incidents underscore the importance of addressing these threats.

Introducing relaxAI by Civo: The AI Assistant That Puts Your Data First

Learn how relaxAI, our cutting-edge AI assistant, can help you unlock the full potential of artificial intelligence with a focus on data privacy and security. With its advanced LLM models and user-friendly interface, relaxAI is designed to make AI more accessible and powerful for businesses and individuals alike. In this video, Ben Norris, AI Engineer at Civo, will take a closer look at the features and capabilities of relaxAI and show you how it can help you streamline your workflow, improve productivity, and drive innovation.

Kubernetes Alerting That Won't Burn You Out

Kubernetes production environments require robust alerting to catch problems before they impact users. While monitoring shows system state, proper alerting tells you when something needs attention. This guide outlines 15 key Kubernetes alerts that help DevOps teams avoid outages and minimize downtime. For each alert, we provide implementation guidance and troubleshooting steps to resolve common issues quickly.

A Detailed Guide on Docker Container Performance Metrics

Docker containers isolate application environments, making performance monitoring essential for visibility and stability — especially at scale. To manage production effectively, teams need clear insights into resource usage, bottlenecks, and failure points. This guide covers key Docker metrics, how to collect them, and how to use that data to keep your containerized systems running smoothly.

Internal Developer Platform vs. Internal Developer Portal: Which to Choose?

Discover the key differences between Internal Developer Platforms (IDPs) and Internal Developer Portals and why modern engineering teams need both to streamline DevOps, boost developer productivity, and scale software delivery with confidence.

ChatGPT vs. relaxAI: What's the difference?

The AI chatbot market has grown exponentially since ChatGPT's launch in 2022, with millions of chatbots now in use. At a surface level, AI chatbots are a computer program that simulates human conversation with an end user (IBM). As the market continues to evolve, the differences in their approaches to data privacy, security, and user control have become increasingly important. This is particularly relevant for organizations seeking to leverage AI chatbots while ensuring the protection of sensitive data.

How Docker Logging Drivers Work

Troubleshooting containerized applications can quickly become complex when logs are scattered across multiple systems. Most DevOps teams face this challenge daily—what starts as a simple container deployment often evolves into a complex logging puzzle. This guide explores Docker logging drivers in depth, covering configuration options, best practices, and practical solutions.

Logz.io Integration for AWS and Kubernetes Observability

Ever feel like you’re flying blind in your AWS environment? You’re not alone. In the sprawling universe of microservices, containers, and serverless functions, trying to troubleshoot without proper observability is like trying to find a bug in a datacenter… with the lights off… while wearing sunglasses.

Kubernetes Monitoring in 2025: The Complete Guide to Cluster Visibility

Modern cloud-native applications rely on Kubernetes as their leading container orchestration platform. The adoption of Kubernetes in 2025 has achieved remarkable heights, making it the primary operator of vital enterprise systems across financial technology and healthcare organizations. Kubernetes environments continue to grow increasingly complex, and their dynamics are evolving, so monitoring has become an essential strategic practice.

Kubernetes v1.33: An Insider Perspective

I was lucky enough to serve on the v1.33 Release Team as Comms Shadow, and it was truly awe-inspiring to see the inner workings of the world’s biggest open-source project. There is a lot to cover around the structure, governance, processes, and maintenance of the Kubernetes project, but in this blog post, I want to focus on the exciting new features that v1.33 brings and what it means for all of us. Check out the official Kubernetes release blog for more details!

The use of AI has become the expectation, are you keeping up?

In the last few months, it feels like LLMs have gone from a nice place to consult for a few ideas to the first place you might turn for input. An AI can offer insight on that work presentation you need to put together, it will write you a business plan outline with two lines of prompting—and include categories you might forget to add, and, most impressively for me recently, it will even criticise your tone in work correspondence.

Densify and Nutanix Partner to Deliver AI-Driven, Fully Automated Kubernetes Optimization

We’re thrilled to announce our partnership with Nutanix, integrating Densify’s AI-powered Kubernetes optimization solution, Kubex, with the Nutanix Kubernetes Platform (NKP). This collaboration brings together two leading technologies to radically improve how enterprise Kubernetes environments are managed—through AI-driven insights and end-to-end automation of resource optimization.