Operations | Monitoring | ITSM | DevOps | Cloud

Google Cloud Next '26 Recap: AI, Efficiency, and the Rise of Frictionless Delivery | Harness Blog

‍Summary: Google Cloud Next ’26 focused on the future of software delivery, emphasizing that AI, platform consolidation, and an urgent push toward efficiency are reshaping the Software Development Life Cycle (SDLC). The key takeaway from the event was that organizations are moving from AI experimentation to operationalization, actively consolidating fragmented tools onto end-to-end platforms that embed AI for control, intelligence, and speed. ‍

Get Ship Done: Everything We Shipped in April 2026 | Harness Blog

It’s becoming increasingly clear that AI-generated code can create real challenges once it reaches production. At Harness, we’ve been focused on innovating fast and solving those problems, so teams can move quickly without sacrificing reliability. In the past 30 days, we delivered 70+ new features.

Add dynamically updating context to logs with Reference Tables and Observability Pipelines

Security and platform engineering teams rely on context-rich logs to investigate threats, prioritize incidents, and meet compliance requirements. Context is often stored separately from applications that generate logs, in sources like threat intelligence feeds in Snowflake, asset lists in Amazon S3, ownership data in ServiceNow CMDB, and risk scores produced in Databricks.

ISO 27001, G-Cloud and SOC 2: How to vet a sovereign cloud provider

A procurement officer at a mid-sized financial services firm spent six months last year negotiating with a cloud provider that turned out not to hold the certification it had implied in its sales deck. The contract collapsed during legal review. The firm lost the time, the provider lost the deal, and somewhere in the middle, a senior engineer learned the difference between "compliant with the principles of" and "audited to the standard of.".

Prevent outages with PagerDuty incident retrospectives

Recurring incidents are a symptom of a broken process. Your teams are working hard to get services back online, but constantly battling the same problems is frustrating and not a sustainable approach. What’s reflected here is not a failure in engineering abilities, but a deficiency in the learning that should follow an incident. When incident analysis focuses on finding a single person or team to blame, it creates a culture of fear.

Resolve Webinar: Introducing AgentLab: The Foundation of the Autonomous Service Desk

Most service desks still operate across fragmented systems. A single ticket can touch 4–7 tools, often more, slowing resolution and increasing cost. Copilots suggest. Traditional automation executes fixed paths. Neither closes the loop. AgentLab changes that. In this webinar, we introduce a new model built on agentic AI and orchestration. One where AI agents don’t just assist. They act, adapt, and resolve.

How Criteo handles 23M requests per second (RPS) with HAProxy Runtime API automation

Criteo handles 23 million requests per second (RPS) while maintaining peak performance and minimizing downtime. For most organizations, handling that level of traffic is just a theoretical stress test — a what-if scenario should their infrastructure ever be overwhelmed by an unexpected wave of requests. But for Criteo, 23 million RPS is just another Tuesday.

Deploy on Friday, Ep. 139

It's Friday, which means it's time to deploy! This week we're covering two weeks of news. On the Octopus side, we have new videos on vibe deployments and proving ROI with the Value Metrics Dashboard, a new Kubernetes migration webinar, and more! In the wider ecosystem, Kubernetes 1.36 "Haru" shipped with user namespaces going GA and Ingress-NGINX officially retired. Docker launched microVM sandboxes for AI coding agents. And Google said developer loyalty to AI tools is at zero.

Google Cloud Storage Pricing: The No BS Guide To GCP Storage Costs [2026]

This straightforward guide will help you understand GCP storage pricing without the jargon. Understanding where your cloud spend goes enables you to pinpoint who, why, and what drives your cloud costs. This visibility supports informed decisions about reducing unnecessary spend or increasing investment in high-return areas.

Scaling Remote Teams in Asia: Compliance Challenges and How EOR Models Solve Them

Asia continues to draw global companies looking to scale their remote workforce, thanks to its deep talent pools and cost advantages. Yet hiring across the region brings layered compliance demands that vary from country to country. The employer of record (EOR) model has emerged as a practical fix, helping firms hire legally and quickly without the cost of building local entities from scratch.