Kinsta®’s Post

⚡ Lightspark Release Notes - July 10, 2024 We’re always improving the Lightspark stack to make it easier and faster for our customers. Here are some features we added this month: 🚀 Force Closure Recovery: Automating the recovery of funds from a force-closed channel. 🔑 LDK Async Signing: Enhancing LDK to enable async signatures for transactions and updates. 🔗 Link to read more: https://lnkd.in/g-xaww5F

Traces are essential telemetry signals for identifying issues. Dive into this article to discover how OpenTelemetry constructs trace views from spans.

Hosted feature layers come in all shapes and sizes - some start off big, some grow over time as data is updated. This blog article dives into response caching that allows hosted feature layers to scale, even when your maps go viral. https://ow.ly/8aN950TPCI5

Hosted feature layers come in all shapes and sizes - some start off big, some grow over time as data is updated. This blog article dives into response caching that allows hosted feature layers to scale, even when your maps go viral. https://ow.ly/rwfx50TOK24

Hosted feature layers come in all shapes and sizes - some start off big, some grow over time as data is updated. This blog article dives into response caching that allows hosted feature layers to scale, even when your maps go viral. https://ow.ly/VqRZ50TOBQ7

Hosted feature layers come in all shapes and sizes - some start off big, some grow over time as data is updated. This blog article dives into response caching that allows hosted feature layers to scale, even when your maps go viral. https://ow.ly/REaq50TPHIm

https://zenoh.io/ The Eclipse Zenoh: Zero Overhead Pub/sub, Store/Query and Compute. Zenoh (pronounce /zeno/) unifies data in motion, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

Hosted feature layers come in all shapes and sizes - some start off big, some grow over time as data is updated. This blog article dives into response caching that allows hosted feature layers to scale, even when your maps go viral. https://ow.ly/I1n650TPUFA

👍 Real-time analytics + support for ETL, OLAP workloads, ML, & geospatial analytics. .....or..... 👎 Real-time analytics with higher $$ and compute load-limitations. The data doesn't lie -- read the Ocient vs. Druid benchmark and learn more:

When you’re troubleshooting new issues, you don’t always know what data you’ll need to investigate. 🔎 Orgs that are running deployments with thousands of nodes and hundreds of apps, all emitting potentially useful telemetry data, need observability solutions that scale, not ones that limit them to only samples of data. That’s why we set out on a journey to support a petabyte of ingested data per day for a single tenant. See how we did it 👉 https://bit.ly/3SrUzeM