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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. ‍

ActiveMQ Slow Consumer: Detection, Strategy & Prevention Guide

One of the most counterintuitive failure modes in enterprise ActiveMQ deployments is this: a single application team deploys a new consumer for a high-volume market data topic. Their consumer is slow, maybe they added a database write on every message, or their processing thread pool is undersized.

Your free credits are leading to a 30-person nightmare

Before I worked in tech, I worked in logistics. I saw a specific pattern repeat itself at office supply companies over and over, until I could see it coming before the customer did. The pattern went like this. A small office supply company would sell paper and pens to local businesses. One day a customer asked, "can you deliver a box of paper?" The salesperson said yes, drove the box over in their car after work, and thought nothing of it. The customer told their friend.

When Dashboards Start Teaching the System: Why Selector's Natural Language Querying Matters

Operations teams have lived with the same frustrating tradeoff for years: the data exists, but getting to the right answer often takes too much time and too much expertise. Engineers are expected to know platform-specific query languages, navigate layers of dashboards, and understand exactly where the right visualization lives before they can even begin troubleshooting. That approach can work in smaller environments, but as infrastructure grows more distributed and complex, it becomes a bottleneck.

Shadow IT Is Back - And Vibe Coding Made It 10x Worse

AI coding tools are the new Shadow IT - but instead of rogue Trello boards, they have OAuth access to your code repos, cloud accounts, and production databases. Here's what's already gone wrong, and how platform engineering fixes it. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Operational Safety: Minimizing Premises Liability Risks

Managing a physical business space requires a constant focus on safety and risk reduction. When customers or vendors enter a property, the owner has a legal duty to keep the premises reasonably safe. Failing to meet this standard can lead to costly lawsuits and damage to a brand's reputation. Smart business owners look at safety as a core part of their daily operations rather than a side task.

Advanced Tracking Systems For Modern Hunters

Hunters find new ways to navigate the woods with high-tech gear. Staying on the right path is much easier when you have mapping tools in your pocket. These systems help you track movement in any weather condition. Modern hardware keeps you safe and helps you find the best spots for your next trip. These devices offer better precision than the old paper maps many used in the past. You can see your exact location with the push of a button.

How Financial Institutions Are Rethinking Risk Management in a Digital-First World

Financial services have undergone a rapid digital transformation over the past decade. Nowadays, institutions are able to scale up faster and service customers more efficiently through cloud infrastructure, real-time payments, and API-driven platforms. But this shift also introduced a more complex risk landscape. Risk management is no longer confined to compliance teams and periodic audits. It's now embedded in day-to-day operations. As financial institutions modernize, they need to rethink how they identify, monitor, and mitigate risks across their entire tech stack.

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.
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Understanding the Three Pillars of Observability: Logs, Metrics and Traces

Many people wonder what the difference is between monitoring vs. observability. While monitoring is simply watching a system, observability means truly understanding a system's state. DevOps teams leverage observability to debug their applications, or troubleshoot the root cause of system issues. Peak visibility is achieved by analyzing the three pillars of observability: Logs, metrics and traces. Depending on who you ask, some use MELT as the four pillars of essential telemetry data (or metrics, events, logs and traces) but we'll stick with the three core pillars for this piece.