Operations | Monitoring | ITSM | DevOps | Cloud

Komodor

Rightsizing Nightmares: When Your Cloud Cost Tool Degrades Performance

Apr 30, 2026 By Ilan Adler In Komodor
This is what production teams see happening. A vertical pod autoscaler recommendation gets applied automatically. Resource requests come down a notch across a namespace. The cost dashboard registers a small cost savings win. A few minutes later, health checks start failing. Pods enter crash loops.
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qovery

7 best AI deployment platforms for production Kubernetes workloads in 2026

Apr 30, 2026 By Mélanie Dallé In Qovery
Training a model in a notebook is easy. What breaks teams is the step after, serving it reliably without haemorrhaging cloud budget or burying your SREs in YAML. The common trap: picking a platform that handles the model but not the surrounding stack. An AI deployment platform should orchestrate the full application graph (inference endpoints, vector databases, caching layers, and frontends) inside a single VPC, with GPU autoscaling that doesn't require a dedicated platform engineer to babysit.
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#056 - Cloud Contradictions and Cautionary Tales with Corey Quinn (The Duckbill Group)

Apr 30, 2026 By Komodor In Komodor
In this episode of the Kubernetes for Humans podcast, Itiel sits down with the internet's favorite cloud contrarian, Corey Quinn of the Duckbill Group. Corey shares his unconventional career path as a "cautionary tale," explaining why his knack for fixing horrifying AWS bills makes him a terrible employee, and why he absolutely refuses to touch Kubernetes in production.
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tigera

VM Migration to Kubernetes: What Breaks and How to Prevent It

Apr 29, 2026 By Dillon Barry In Tigera
Here is what nobody putting together the business case for a VM migration to Kubernetes will tell you upfront: the compute is the easy part. Moving workloads off vSphere and onto Kubernetes is conceptually straightforward. The tooling has matured. The architecture is proven. Compute moves, storage remaps, and the platform team has a plan. The network is where projects quietly stall.
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civo

Inclusive AI vs. centralized AI: Can India avoid big tech concentration?

Apr 29, 2026 By Emma Oram In Civo
At the 2026 India AI Impact Summit in February 2026, 92 countries and international organizations (including the US, China, and the UK) signed a preliminary agreement that positions AI as both a development tool and a shared global responsibility. “India will not be a mere consumer in the AI age. We will be the creators, the builders, and the exporters of intelligence and we are proud to be able to participate in that future.” Gautam Adani, chairman of the Adani Group.
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15: Optimizing AI Workloads: Balancing Cost, Performance, and Scalability with Bijit Ghosh

Apr 28, 2026 By Kubex In Densify
In this episode, Andrew Hillier and Bijit Ghosh discuss the evolving landscape of AI, discussing the growing prominence of inference over training, hybrid cloud strategies, balancing cost with performance, and the orchestration of complex hardware environments. The conversation also touches on emerging concepts like AI factories, the challenges of sovereign cloud, and how enterprises are navigating data gravity and regulatory constraints. It's a deep dive into optimizing AI infrastructure, managing costs, and the disruptive changes that are transforming both technology and business outcomes.
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The New Kubernetes Monitoring Experience in Splunk Observability Cloud

Apr 28, 2026 By Splunk In Splunk
In this video, I walk through the three main pieces of the new Kubernetes monitoring experience in Splunk Observability Cloud: the Kubernetes overview page for monitoring the status and top issues across your environment, the Kubernetes Entities page for troubleshooting individual instances with correlated metrics, logs, events, and configuration, and the Workload Optimization view for getting actionable recommendations on your CPU and memory resource allocation.
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Komodor

All You Need to Know About CrashLoopBackOff Error

Apr 27, 2026 By Komodor In Komodor
Kubernetes is an open-source container orchestration engine that is used to automate containerized application deployment, scaling, and administration. It is an open-source management platform that can be used to manage containerized workloads and services, as well as declarative configuration and automation. Kubernetes is a framework for running distributed systems in a resilient manner. It handles scaling and failover for your application and provides deployment patterns and other features.
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Densify

Kubex Named a 2026 Leader by GigaOm

Apr 24, 2026 By Kubex In Densify
Industry analyst recognition means something different from an award. GigaOm does not hand out trophies. They evaluate products against a defined capability framework and tell the market where vendors actually stand. By that measure, Kubex has been named a Leader in two of GigaOm’s 2026 Radar Reports: Kubernetes Resource Management and Cloud Resource Optimization. In the Kubernetes report, we are positioned as an Outperformer. In Cloud Resource Optimization, a Fast Mover.
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Komodor

AI for Incident Response: Should You Build or Buy?

Apr 23, 2026 By Snir Amsalem In Komodor
SREs and platform teams are overwhelmed by the effort of manually troubleshooting ever-more complex cloud-native environments. This pain is driving a breakneck adoption of AI SRE solutions that promise to automate core reliability practices, from root cause analysis to capacity planning. For teams with strong engineering talent, creating a DIY AI SRE seems like a straightforward challenge.
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Cycle

Human First, AI Second: Cycle's Approach to AI Coding in 2026

Apr 23, 2026 By Konner Bemis In Cycle
It is easier than ever to launch a product from scratch. Today, AI can make your team of two feel like a team of ten almost overnight. Enterprises across the tech industry are completely restructuring engineering teams to double down on AI coding, often incentivizing engineers for the sheer amount of code they push. The AI revolution is incredible. So, you would be crazy not to hop on the vibe coding train right? Well it depends on what exactly you are building.
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civo

Geopatriation in India: Why data residency is a boardroom illusion

Apr 22, 2026 By Emma Kinsey-Coates In Civo
In 2026, a new term has infiltrated Indian boardroom discussions: Geopatriation. Coined by Gartner as a top strategic technology trend for 2026, geopatriation is the deliberate relocation of workloads and applications from global cloud hyperscalers to regional or sovereign alternatives in response to geopolitical risk. While the previous decade was defined by a cloud-first approach, the current landscape is defined by the need for sovereignty.
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Komodor

AI SRE Summit 2026 Brings Together Engineering Leaders From AWS, Salesforce, Man Group, Smarsh, Honeycomb and More

Apr 22, 2026 By Komodor In Komodor
Virtual event will explore what it takes to use AI in production SRE, from incident response and observability to platform design, cost control and self-healing operations TEL AVIV and SAN FRANCISCO, April 22, 2026 — Komodor, the autonomous AI SRE company, today announced it will host AI SRE Summit 2026, a free live virtual event on Tuesday, May 12, 2026, bringing together site reliability, platform engineering and cloud-native leaders to discuss how AI is changing production operations, and where i
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qovery

How to automate environment sleeping and stop paying for idle Kubernetes resources

Apr 21, 2026 By Mélanie Dallé In Qovery
Scaling your deployments to zero is only half the battle. If your cluster autoscaler does not aggressively bin-pack and terminate the underlying worker nodes, you are still paying for idle metal. True environment sleeping requires tight integration between your ingress layer and your node provisioner to actually realize FinOps savings.
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tigera

KubeVirt Networking: How to Preserve VM IP Addresses During Migration

Apr 21, 2026 By Dillon Barry In Tigera
Organisations are re-evaluating their VM infrastructure. The economics have shifted, the tooling has matured, and the case for running two separate platforms, one for containers, one for VMs, is getting harder to justify. Platform teams that spent years managing hypervisor infrastructure are being asked to consolidate, and most are landing on the same answer: Kubernetes. KubeVirt makes running VMs on Kubernetes possible.
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civo

An introduction to the GitOps Catalog

Apr 20, 2026 By John Dietz In Civo
One of the challenges teams face as their platforms grow is how to standardize what gets deployed without slowing teams down. The GitOps Catalog from Konstruct is designed to solve this by providing a consistent way to distribute reusable infrastructure modules, application components, and full environment stacks across clusters. At a glance, it looks like a templating system.
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Qovery Q1 2026 Demo Day

Apr 20, 2026 By Qovery In Qovery
See our latest retrospective and live updates. We're showcasing Event-Based Autoscaling via KEDA, allowing you to scale on business metrics that actually matter. We’ll also debut Copilot Troubleshoot to solve complex deployment failures instantly, demonstrate how MCP Agents are setting a new standard for your workflow, and share more about NGINX migration. Qovery is the Kubernetes management platform built for the AI era.
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civo

Why public sector teams are moving to sovereign cloud providers

Apr 19, 2026 By Civo Team In Civo
Public sector organizations have long relied on global cloud providers to modernize infrastructure and scale digital services. However, priorities are shifting. Today, decisions are shaped not just by cost or performance, but by where data is stored, who controls it, and how it is governed. Increasing regulatory pressure, geopolitical uncertainty, and rising expectations around data privacy are all driving this change.
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civo

What makes a cloud provider trusted? Beyond uptime and pricing

Apr 18, 2026 By Civo Team In Civo
Trust in a cloud provider used to come down to two metrics: uptime and cost. If services stayed online and pricing looked competitive, that was often enough. That is no longer the case. Modern development teams expect far more from their infrastructure. Speed, usability, transparency, and flexibility now shape how developers evaluate cloud platforms. A provider may meet uptime guarantees and still frustrate teams with slow provisioning, unclear billing, or rigid tooling.
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qovery

10 best practices for optimizing Kubernetes on AWS

Apr 17, 2026 By Morgan Perry In Qovery
Optimizing Kubernetes on AWS is less about raw compute and more about surviving Day-2 operations. A standard failure mode occurs when teams scale the control plane while ignoring Amazon VPC IP exhaustion. When the cluster autoscaler triggers, nodes provision but pods fail to schedule due to IP depletion. Effective scaling requires network foresight before compute allocation.
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Komodor

Autonomous AI for Cloud-Native Cost Optimization: Balancing FinOps and Performance SLAs

Apr 17, 2026 By Danielle Inbar In Komodor
Platform Engineering leaders are caught between two competing imperatives. You’re under pressure to flatten cloud spend but your team is still provisioning defensively because nobody wants to be the person who causes a production incident. You try to optimize, but six months later, when someone pulls a report, nothing has changed.
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civo

Choosing GPU cloud platforms for developers

Apr 17, 2026 By Civo Team In Civo
For developers building AI applications, training models, or running inference pipelines, the GPU cloud market in 2026 has never offered more choice - or more complexity. Picking the wrong platform means overpaying, dealing with availability problems, or battling infrastructure that slows you down rather than accelerating your work.
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tigera

Your AI Agents Are Autonomous. But Are They Accountable?

Apr 17, 2026 By Laura Ferguson In Tigera
Why accountability, not capability, is the real bottleneck for enterprise agentic AI, and what security leaders need to do about it before regulators force the issue. Every enterprise is building AI agents. Marketing has one summarizing campaign performance. Engineering has one triaging incidents. Customer support has one resolving tickets. Finance has one processing invoices.
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qovery

What is Kubernetes? The reality of Day-2 enterprise fleet orchestration

Apr 16, 2026 By Morgan Perry In Qovery
Kubernetes is an open-source container orchestration engine. At enterprise scale, it abstracts infrastructure to automate deployment, scaling, and networking. However, managing hundreds of clusters introduces severe Day-2 operational toil, requiring agentic control planes to enforce global governance, security policies, and cost optimizations across multi-cloud fleets.
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tigera

Deployed Is Not the Same as Ready: How Mature Is Your Kubernetes Environment?

Apr 16, 2026 By Veronika Smolik In Tigera
Kubernetes adoption is no longer the challenge it once was. More than 82% of enterprises run containers in production, most of them on multiple Kubernetes clusters. Adoption, however, does not mean operational maturity. These are two very different things. It is one thing to deploy workloads to a cluster or two and quite another to do it securely, efficiently and at scale. This distinction matters because the gap between adoption and Kubernetes operational maturity is where risk accumulates.
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An introduction to Konstruct: Production-ready IDP in minutes

Apr 16, 2026 By Civo In Civo
What if you could own your platform and deploy it anywhere, without months of GitOps setup or vendor lock-in? Konstruct is an Internal Developer Platform that gives you a production-grade platform-as-a-service, deployed in minutes. It delivers a GitOps-powered experience that is fully owned and operated by you, distributing consistent, self-service control planes to development teams so they can ship without friction.
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tigera

Beyond the Prompt: AI Agent Design Patterns and the New Governance Gap

Apr 15, 2026 By Alister Baroi In Tigera
If you are treating Large Language Models (LLMs) like simple question-and-answer machines, you are leaving their most transformative potential on the table. The industry has officially shifted from zero-shot prompting to structured AI agent design patterns and agentic workflows where AI iteratively reasons, uses external tools, and collaborates to solve complex engineering problems.
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qovery

Stopping Kubernetes cloud waste: agentic automation for enterprise fleets

Apr 14, 2026 By Mélanie Dallé In Qovery
Agentic Kubernetes resource reclamation is the practice of using an autonomous control plane to continuously identify, suspend, and delete idle infrastructure across a multi-cloud Kubernetes fleet. It replaces manual cleanup and reactive autoscaling with intent-based policies that act on business state, eliminating the configuration drift and cloud waste typical of unmanaged fleets.
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civo

Hosted vs. self-hosted control planes

Apr 13, 2026 By John Dietz In Civo
One of the first decisions teams face when adopting Konstruct is whether to run the control plane themselves or have it managed for them. While this can look like a simple deployment choice, it is really a question of operational responsibility, control, and how your platform needs to evolve over time. Both models exist to solve the same underlying problem: providing a consistent, GitOps-driven platform across teams and environments.
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Densify

AI Factories Will Be Won on Efficiency: Why the Kubex + Rafay Partnership Matters

Apr 13, 2026 By Kubex In Densify
The early era for AI was defined by experimentation, standing up isolated environments, and finding the first practical use cases. Today, the conversation is different. Enterprises are no longer asking whether AI matters. They are asking how to scale it sustainably, securely, and economically. That shift is giving rise to the AI factory: a repeatable, governed, production-ready environment where data scientists, platform teams, and application teams can build, train, deploy, and operate AI at scale.
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Densify

Kubernetes GPU Resource Optimization: Top 10 Solutions in 2026

Apr 13, 2026 By Kubex In Densify
TL;DR: Most Kubernetes clusters waste GPU compute through over-provisioned pod requests and suboptimal node selection. This guide covers 10 tools that fix this across four layers: resource lifecycle (Kubex, ScaleOps, Cast.ai), hardware partitioning (GPU Operator, MIG, time-slicing), inference serving (Triton, KServe), and observability (DCGM Exporter, NFD). For most teams, the biggest gains are at the resource lifecycle layer: no model changes required.
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grafana

Kubernetes Monitoring Helm chart v4: Biggest update ever!

Apr 13, 2026 By Pete Wall In Grafana
The Kubernetes Monitoring Helm chart is the easiest way to send metrics, logs, traces, and profiles from your Kubernetes clusters to Grafana Cloud (or a self-hosted Grafana stack). And version 4.0 is the biggest update the chart has ever received. Representing nearly six months of planning and development, it's designed to solve real pain points that users have hit as their monitoring setups have grown.
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civo

UK sovereign cloud security standards to watch in 2026

Apr 12, 2026 By Civo Team In Civo
The regulatory landscape governing UK sovereign cloud security has shifted more dramatically in the past 12 months than in the preceding decade. New legislation, tightened procurement frameworks, and an intensifying cyber threat environment are collectively raising the compliance floor for organizations running cloud workloads in the UK.
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qovery

Building a single pane of glass for enterprise Kubernetes fleets

Apr 9, 2026 By Mélanie Dallé In Qovery
A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.
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Komodor

Komodor Provides Autonomous AI SRE Troubleshooting for ClusterAPI

Apr 9, 2026 By Asaf Savich In Komodor
Cluster API (CAPI) is transforming how organizations deploy and manage fleets of Kubernetes clusters by introducing declarative, Kubernetes-style APIs to automate cluster provisioning and lifecycle management. While CAPI excels at creating consistent and repeatable cluster deployments across different infrastructure providers, operating it at a massive scale introduces unique day-to-day challenges.
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appsignal

Setting Up AppSignal for a Node.js App Running on Kubernetes

Apr 9, 2026 By Dejan Lukić In AppSignal
Monitoring in Kubernetes can seem like opening an airplane's black box. Everything happens silently, behind the scenes, hidden away. This can be a lot of trouble, as you don’t really want to dig through a bunch of logs at 3 a.m. after a call letting you know that a certain feature is broken. You want something direct, concise, and helpful.
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civo

7 reasons Civo's UK sovereign cloud secures regulated workloads

Apr 7, 2026 By Civo Team In Civo
Sovereignty is one of those words that gets stretched until it means almost nothing. Vendors apply it to any infrastructure with a UK data center, regardless of who owns the parent company or which jurisdiction's courts govern the contract. For a developer running a personal project, that ambiguity is probably fine. For a fintech under FCA oversight, an NHS trust processing patient data, or a legal firm handling privileged communications, it isn't.
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sumologic

How to deploy PostgresSQL on Kubernetes

Apr 2, 2026 By Theo Despoudis In Sumo Logic
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications, abstracting many of the manual steps of rolling upgrades and scaling. When building cloud-native applications in a Kubernetes environment, you’ll often need to deploy database applications like a PostgreSQL database so that your applications can leverage their features within the cluster.
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cloudzero

Your Most Expensive Kubernetes Costs Have Been Hiding In The Wrong Bucket

Apr 2, 2026 By Thomas Evans In CloudZero
If your organization is running AI or machine learning workloads on Kubernetes, the bill is real. GPU instances are among the most expensive resources in cloud infrastructure, where a single high-end node can run $30 to $40 per hour, and a multi-day training job on a cluster can cost tens of thousands before anyone looks up from their terminal. What most engineering and FinOps teams haven’t been able to do (until now) is connect that spend to the workloads that caused it.
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qovery

Managing Kubernetes deployment YAML across multi-cloud enterprise fleets

Apr 2, 2026 By Mélanie Dallé In Qovery
At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.
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civo

Konstruct product updates: Hosted control planes and multi-cloud

Apr 2, 2026 By John Dietz In Civo
March signified a very important period for the Konstruct team, where we were able to focus on something we’ve heard consistently from teams: reduce the time to value without compromising control. In the previous post, we walked through how Konstruct 0.1–0.3 established the core platform model, introduced templates, and expanded GitOps into something that can represent both infrastructure and applications. With 0.4, we’re taking a more opinionated step forward.
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civo

2026 CMA investigation: What it means for the cloud industry

Apr 1, 2026 By Civo Team In Civo
The UK’s Competition and Markets Authority (CMA) has now set out its latest actions under the Digital Markets Competition Regime (DMCR), following its multi-year Cloud Services Market Investigation. While the regulator has now expanded its focus into business software ecosystems, we must not lose sight of the core issue: the entrenched dominance within the UK's cloud infrastructure.
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#055 - From Enterprise Java to Kubernetes and AI-Driven Infrastructure with Dan Hicks (Boomi)

Apr 1, 2026 By Komodor In Komodor
Dan breaks down the fundamental similarities and stark differences between application development and platform engineering. He shares the unexpected hurdles he faced during his transition, from complex networking and CoreDNS latency to the harsh realities exposed by chaos testing in cloud environments.
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