Apache Flink might be a bit more popular than Logz.io. We know about 27 links to it since March 2021 and only 26 links to Logz.io. 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
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 26 days ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - 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
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 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 Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.