Operations | Monitoring | ITSM | DevOps | Cloud

One onboarding ticket can hold a full name, home address, device serial and passport scan. Article 32 of the General Data Protection Regulation requires you to ensure a level of security appropriate to the risk.

Some features start on a roadmap. Others start with a recurring customer request: Can LightMesh connect to Meraki? That request kept coming up. Now the answer is yes. LightMesh supports Meraki sites with multiple VLANs or a single LAN through the new cloud integration for Cisco Meraki. Appliance addressing from Dashboard syncs into LightMesh as subnets (with VLAN ID when Meraki provides one), and device or client LAN IPs only when they fall inside those CIDRs.

Kling AI pricing runs from a free tier of 66 daily credits to a reported $180 per month, with annual billing about 34% cheaper. Kling 3.0 bills per second: 6 to 12 credits for standard resolutions and 30 for native 4K. The API sells separate prepaid packages from $9.80 to $7,560.

ElevenLabs pricing runs from a free plan to $990 per month across six published tiers, with custom Enterprise above that. Plans meter usage in credits, where one credit roughly equals one character of speech. Voice agents cost $0.08 per minute on every tier, plus separate LLM and telephony charges. The AI agency PxlPeak published its own ElevenLabs invoice: $303 for January 2026, covering voice content for six clients, IVR systems for two, and live voice agents for three.

Token-based pricing charges for AI by the volume of text a model processes, metered separately for input tokens (what you send) and output tokens (what the model returns). As of 2026, OpenAI, Anthropic, and Google all bill their APIs this way, and the model is spreading into enterprise chat products. Bills scale with usage rather than seats.

Kubernetes has become a standard foundation for modern containerized applications, but operating clusters still requires significant engineering work. In the CNCF’s 2025 annual cloud native survey, published in January 2026, 82% of container users reported running Kubernetes in production. As adoption matures, the question for many teams is no longer whether to use Kubernetes, but how much of the operational burden they want to own.

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Upsun Dispatch is generally available to the public as of today. Our previous article explains what it is and why we built it. This round, we take you into the details of how it works, the primitives it consists of, and the functionality available right away. You'll also get a glimpse of our roadmap at the end of the article.

Table of Contents GPU sharing with NVIDIA hardware is becoming easier to adopt in Kubernetes but it hasn’t been easier to observe. Time-slicing lets multiple workloads share the same GPU. MPS allows CUDA workloads to execute concurrently. Schedulers like KAI make it easier to manage these shared environments. But sharing a GPU introduces a problem that is easy to underestimate.