Showing entries 1 to 7
Displaying posts with tag: elasticsearch (reset)
Continuent Road Map: One year after restart… Where next?

You may know Continuent Tungsten for our highly advanced MySQL replication tool, Tungsten Replicator, and for our state-of-the-art MySQL clustering solution, Tungsten Clustering. Our solutions are used by leading SaaS vendors, e-commerce, financial services and telco customers.

But there are more, many more, Tungsten deployments out there. Tungsten Replicator can be used for real-time data

Tungsten Replicator and Clustering 5.2.0 Released

Continuent are pleased to announce the release of Tungsten Replicator and Tungsten Clustering 5.2.0

This release is one of our most exciting new releases for a while, as it contains some significant new features and lays the groundwork for some additional new functionality in the upcoming 5.3.0 and 6.0 releases due later this year.

In particular, this release includes the following new features:

  • New replicator filtering environment to make filtering quicker and easier to use, and more flexible
    • New filter configuration standard for new filters
    • New filter to make replication out of a cluster easier
    • New filters for filtering events and data
  • New applier for sending Apache Kafka messages directly from an incoming data stream
  • New applier for adding incoming records directly to Elasticsearch for indexing
  • New …
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Replicating into ElasticSearch

So here at Continuent we are working on multiple new targets for applying data using Tungsten Replicator. There are so many potential targets out there where people want to replicate data directly into a specific system, sometimes just for a specific data set, table, database or requirements.

Yesterday afternoon, I started working on ElasticSearch – this morning I have it finished!

As with all solutions, the same basic principles apply – want to pull out of MySQL or Oracle and into something else? That’s fine. Want to replicate to HDFS and ElasticSearch? We do that too!

So what does it look like?

Installation operates just our normal appliers – you just specify the datasource type (ElasticSearch) and the EL host name and port:

tools/tpm configure alpha \
--datasource-type=elasticsearch \
--install-directory=/opt/continuent \ …
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The Uber Engineering Tech Stack, Part II: The Edge and Beyond

The end of a two-part series on the tech stack that Uber Engineering uses to make transportation as reliable as running water, everywhere, for everyone, as of spring 2016.

The post The Uber Engineering Tech Stack, Part II: The Edge and Beyond appeared first on Uber Engineering Blog.

Which tech do startups use most?

Leo Polovets of Susa Ventures publishes an excellent blog called Coding VC. There you can find some excellent posts, such as pitches by analogy, and an algorithm for seed round valuations and analyzing product hunt data. He recently wrote a blog post about a topic near and dear to my heart, Which Technologies do Startups […]

Running ElasticSearch, LogStash and Kibana in Docker

As any server farm scales out, it becomes increasingly difficult to Watch All The Things™. I’ve been watching the progress of LogStash+ElasticSearch+Kibana (also known as an ELK stack) for a while and gave it a go this weekend. The trick for me was wanting to run each element inside of a separate Docker container so that I have easily portable elements to scale out with.

A step back. What is Docker? Docker is a container (using LXC) around an application. In short, you install Docker, start a container using a base image (CentOS, Ubuntu, etc.) and then run the container, dropping you into a shell. From here, you configure your application, then save your container. You …

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Bash scripting: ElasticSearch and Kibana init.d scripts

As a follow up to the previous post about logstash, here are a couple of related init scripts for anyone implementing the OpenSource Log Analytics setup that is explained over at divisionbyzero. These have been tested on CentOS 6.3 and are based on generic RC functions from Redhat so they will work with Redhat, CentOS, Fedora, Scientific Linux, etc.

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Showing entries 1 to 7