Operations | Monitoring | ITSM | DevOps | Cloud

VoIP jitter is the variation in packet arrival time during voice calls, measured in milliseconds. When voice packets travel across your network at inconsistent intervals; some arriving faster, others slower—you experience jitter. Acceptable jitter for VoIP is 30 milliseconds or less. Above this threshold, you'll notice choppy audio, robotic voices, delays, and call drops that disrupt business communication.

Last week, someone commented on my post about 47-day certificates: This perfectly captures our collective delusion that SSL certificate revocation works. You click a button, the certificate stops working. And why wouldn’t we believe that? Every CA has a big “Revoke Certificate” button right there in the dashboard. It must do something, right? Here’s the dirty truth: most revoked certificates keep working.

As bandwidth demands surge and applications move ever closer to the user, the crucial last mile link between networks and end users has become an obstacle for performance, reliability and flexibility.

Everyone is talking about AI models, copilots, and large language engines. They’re certainly impressive, even transformative, but they’re only part of the story. The real power of AI depends on what’s happening behind the scenes. In enterprise environments, that hidden side of AI (the infrastructure, automation, and orchestration that make everything run) determines whether an AI strategy succeeds or fails. That’s where a smarter enterprise AI solution begins.

Backstage is a popular open source framework for building internal developer portals (IDPs) used by organizations to aggregate service metadata and create a single source of truth for their software developers. However, data stored in the Backstage Software Catalog can quickly become siloed and inaccessible from monitoring tools such as Datadog.

For years, PostgreSQL relied on synchronous I/O, meaning that when the database needed data from disk, each read operation was a blocking system call. The database process would therefore pause and wait for the data retrieval before moving to the next task. Synchronous I/O works well for local storage, but our database needs have changed drastically since then, resulting in this architecture creating significant bottlenecks when storage has higher latency.

Artificial intelligence (AI) isn’t just writing text or generating images anymore. It’s starting to make real-world decisions. Now, with agentic systems, we’re entering an era where AI models don’t just respond; they act autonomously, buying, booking, and negotiating on behalf of users. That may sound promising, but those of us in the trenches of reliability know that progress always comes with trade-offs. Make no mistake, this shift fundamentally changes how observability works.

For every CFO who’s ever asked, “Can we reduce engineering costs by 15%?” there’s a CTO quietly thinking, “But at what cost?” That tug-of-war plays out inside most SaaS companies. Finance wants to tighten budgets to protect margins, while engineering and product teams push for the resources to build, test, and innovate faster. The truth is, the teams that spend most efficiently — not necessarily the least — drive the highest returns.

If you’re in the market for cloud storage, then Dropbox and iCloud may be high up on your list. If you’re an Apple user, you automatically get 5GB of free storage with your device. But the question is, should you upgrade your iCloud account, or go for another service like Dropbox? If you’re considering Dropbox vs iCloud, then this article is for you, as we will cover the following topics to help you make your decision.

The continuous shift toward containerization means businesses are migrating more complex, mission-critical workloads to Kubernetes. This trend necessitates traffic management solutions that support diverse protocols (such as TCP, UDP, HTTP, and gRPC) and sophisticated organizational architectures, while delivering exceptional performance and efficiency.