Let's Encrypt
OpenSSL
AWS Certificate Manager
Ensighten
Digicert
Certbot
Authy
Microsoft BitLocker
Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Grails
Apache Kafka
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Based on our record, Let's Encrypt seems to be a lot more popular than Apache Flink. While we know about 311 links to Let's Encrypt, we've tracked only 27 mentions of Apache Flink. 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.
Traefik : A modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components and configures itself automatically and dynamically. it's also well integrated with Let's Encrypt (Alternatives : HAProxy, Kong, NGINX). - Source: dev.to / 12 days ago
Cert-manager is a CRD (Custom Resource Definition) that dynamically generates TLS/SSL certificates for our applications using Let's Encrypt (although it also supports other issuers). - Source: dev.to / about 1 month ago
Letsencrypt.org — Free SSL Certificate Authority with certs trusted by all major browsers. - Source: dev.to / 3 months ago
Install Certbot Certbot is a CLI that helps to obtain and maintain Let's Encrypt cert. - Source: dev.to / 4 months ago
Let's Encrypt. CapRover automatically configures each service with nginx. SSL certificates (on multiple domains too) are just the click of a button. - Source: dev.to / 4 months 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
OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
AWS Certificate Manager - AWS Certificate Manager from Amazon Web Services (AWS)
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Ensighten - Ensighten provides enterprise tag management solutions that enable businesses manage their websites more effectively.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.