Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Let's Encrypt is moving to 45-day certificates before everyone else

The CA/Browser Forum set 47-day certificates as target for 2029. Let’s Encrypt decided to implement it a year earlier. In December 2025, Let’s Encrypt announced their roadmap to cut certificate lifetimes from 90 days to 45 days by February 2028, a full year ahead of the industry mandate. It’s exactly what we’d expect from the CA that made automation mandatory from day one.

How Deployment Pipelines Power Continuous Deployment

Let's be honest: everyone says they want continuous deployment. "Ship all the time! Move fast! Break absolutely nothing!" But the only reason any of that is even remotely possible is because of one unsung hero quietly doing the heavy lifting behind the scenes: Ah, the deployment pipeline - aka your code's obstacle course / gauntlet / walk in the park… depending on how well it's behaving.

Clustered Directors, Pipeline Debugging, and More Integrations

Over the past two months, VirtualMetric DataStream delivered a substantial update cycle focused on resilience, productivity, and platform extensibility. This release strengthens the core architecture, makes pipeline development and troubleshooting significantly easier, and expands integration coverage across schemas, SIEMs, and cloud platforms. Let’s take a closer look.

Actionable Network Device Monitoring with Automated Anomaly Detection and AI Troubleshooting

Network device monitoring is often a mess of polling, graphs, and alerts that don't lead to answers. In this webinar, we'll show how to monitor routers, switches, and firewalls in a way that quickly surfaces what matters: interface health, errors, drops, saturation, latency signals, and performance regressions—without drowning in noise. You'll learn how Netdata turns raw SNMP metrics into high-signal insights using automated anomaly detection and AI-assisted troubleshooting, so your team can move from 'something is wrong' to 'here's the root cause' faster.

Faster, compliant delivery on regulated cloud with Upsun and IBM Cloud for Financial Services

We are continually enhancing our offering to support enterprises looking to modernize without the pain of modernization. We partnered with IBM to bring our highly flexible cloud application platform to the IBM Cloud Marketplace to give financial service organizations a cloud option that meets both workload and organizational requirements.

Build vs Buy IaC: Choosing the Right IaCM Strategy | Harness Blog

Have you ever watched a “temporary” Infrastructure as Code script quietly become mission-critical, undocumented, and owned by someone who left the company two years ago? We can all related to a similar scenario, if not infrastructure-specific, and this is usually the moment teams realise the build vs buy IaC decision was made by accident, not design.

How to Scale GitOps Without Hitting the Argo Ceiling | Harness Blog

The Argo ceiling is a predictable scaling challenge, not a failure of Argo CD or GitOps. As clusters and teams grow, visibility, governance, and orchestration fragment without a control plane. Script-heavy workflows and manual processes slow delivery and increase risk at scale. A GitOps control plane enables unified visibility, structured workflows, automated guardrails, and secure secret management. GitOps has become the default model for deploying applications on Kubernetes.

Kubernetes Cost Traps: Fixing What Your Scheduler Won't | Harness Blog

Kubernetes cost overruns usually come from small, invisible scheduling decisions—not the platform itself. Over-provisioned requests, poor bin packing, and fragmented node pools quietly waste cloud spend. Cost-aware scheduling, right-sizing, and smarter node selection can deliver major savings without hurting performance. Treat cost as a first-class metric with visibility into why scaling decisions happen—not just when.

Gemini Cost Per API Call in 2026: What You'll Actually Pay (And How to Control It)

On paper, Gemini pricing looks straightforward. You pay per token. Input tokens cost one amount, output tokens cost another, and different models come with different rates. But once Gemini is wired into a production SaaS product, that simplicity disappears. Fast. That’s because token usage compounds across context, retrieval, and output — not across requests. The same “API call” can cost pennies in one feature and dollars in another.