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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Operational Efficiency on the Move: How Mobile Connectivity Impacts Modern Business Operations

Operations don't pause when people leave the office. In today's business environment, teams execute critical work while traveling for site visits, client meetings, audits, implementations, and leadership alignment. As organizations become more distributed and time-sensitive, mobile connectivity has quietly become operational infrastructure, not just a convenience. Yet connectivity is often treated as an afterthought-something employees "figure out" on the road. From an operations perspective, that assumption creates friction, risk, and avoidable inefficiencies.

Moving Our Observability Data Collector from Sidecars to eBPF

For years, the Kubernetes sidecar pattern has been a practical way to capture observability data. Running a collector alongside each application pod gave us deep visibility into traffic, including full request and response payloads across supported protocols. However, as cloud-native environments have grown more complex, the limitations of sidecars—such as resource overhead, operational complexity, and scaling challenges—have become more apparent.
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Digital Twins Gone Wild: My Unexpected AI Doppelgänger

I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me... and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor-or a very different definition of "twin." Forget Arnold Schwarzenegger and Danny DeVito. Digital Twins 2-Now Starring My AI Doppelgänger From Speedscale's perspective, a digital twin is built from real production traffic, continuously updated, and executable in your test and CI/CD environments.

ROI of Digital Twin Testing: Cut Testing Costs by 50%

When engineering leaders review their cloud bills, they often focus on production costs—the infrastructure serving real users, processing real transactions, generating real revenue. But there’s a shadow cost lurking in every cloud environment that often goes unnoticed until it becomes painful: non-production infrastructure.

Building AI-Ready Database Operations: A Deep Dive into Maturity and Actionable Habits

Now, we will explore how this foundational strength translates into organizational maturity and lay out the durable operating habits required to bridge the gap between reactive firefighting and strategic performance engineering.

AI SRE Update: Your Feedback Shaped Our Latest Release

A note from Lauren Nagel, Mezmo's VP of Product: At Mezmo, we believe the best observability tools aren't just built for users, they're built with them. Since the launch of Mezmo's AI SRE agent, we've listened and learned from our customers. The feedback and insights have been invaluable in helping our teams refine and enhance the experience. Today, we're excited to share our latest release, packed with improvements and powerful new capabilities that make our AI SRE even faster and more intuitive.

Building & Enforcing an AI Policy

Just like "cloud" in years past, the term "AI" has permeated just about every tech space and product. And although AI has plenty of business benefits, there are also plenty of risks in using AI, especially when it comes to sensitive business information. End users may not understand (or care) about the negative impacts of AI, which is where IT comes in. In this stream, you'll learn about how you can build an AI policy that works and how to enforce it so that users actually follow it!

How is the next wave of AI impacting the Indian cloud scene?

Gartner has predicted that 2026 will see a 10.6% increase in India’s total IT spend from 2025 (2025: USD 159 billion vs 2026: USD 176.3 billion), with data centres, cloud infrastructure, and AI-enabled technologies driving this growth. This isn’t just a budget increase; it’s a fundamental shift in where innovation happens, who owns the infrastructure, and how we translate AI potential into scalable impact.