Based on our record, Apache Spark should be more popular than Logz.io. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Logz.io — Free up to 1 GB/day, one day retention. - Source: dev.to / 3 months ago
Logz.io is like a cloud-based control center for your applications, systems, and infrastructure. It keenly observes their performance and health and provides you with any required insights that will help with the smooth running of your digital platform. With its log management, metrics analysis, and distributed tracing capabilities, Logz.io is one of the best performance monitoring tools to ensure your tech stack... - Source: dev.to / 5 months ago
You better use a logs tool like logz.io or something, Don't re-invent the wheel. Source: 12 months ago
However, if you don't have the resources to manage something, solutions like the one above can get VERY expensive and even managed purpose built solutions like https://logz.io/ can get pricy. I think logz.io is the closest you will get to a no frills log storage platform. Source: about 1 year ago
Logz.io is an observability and security monitoring tool that provides cloud-based log analytics targeted at data security and minimizing the need for capacity management. - Source: dev.to / over 1 year ago
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 / 2 months ago
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 / 3 months ago
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 / 5 months ago
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 / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.
Hadoop - Open-source software for reliable, scalable, distributed computing