Google Cloud Memorystore Reviews

Apache Spark Reviews

Google Cloud Memorystore mentions (6)

• Ruby GCP session management

  I imagine that would work. I'd probably default to a redis https://cloud.google.com/memorystore because it feels more boring to me. Source: 7 months ago

• Best way to create a counter increment feature on user profile visits?

  I suggest you to use realtime database. It is cheaper than Memorystore (if you use in Google Cloud) and realtime database has a free tier. Source: 12 months ago

• Cloud Function memory update

  Memorystore is Google-hosted Redis/Memcached. You could set up a virtual machine and install Redis/Memcached yourself, but Memorystore eliminates that extra work and provides you with a well-working cache out of the box. Source: about 1 year ago

• What's the best and cheapest cache storage available on GCP?

  Memorystore is the managed cache service on GCP. https://cloud.google.com/memorystore. Source: over 1 year ago

• Moving to Google Cloud managed services, from a FinOps point of view

  Memorystore, the GCP managed service for cache, is not a service by itself, you need to choice the backend behind with Redis or memcached. These two kinds of configurations for Memorystore do not have the same model pricing. Memorystore for memcached is mostly based on Compute Engine model with pricing based on the number of nodes and vCPU + RAM per node. Even if the model pricing is nearly the same, the... - Source: dev.to / almost 2 years ago

Apache Spark mentions (56)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago

• Spark – A micro framework for creating web applications in Kotlin and Java

  A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 12 months ago