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Posted to user@chukwa.apache.org by Eric Yang <ey...@apache.org> on 2020/02/01 17:23:49 UTC
So long, thanks for all the fish
Hi all,
Chukwa developers have decided to throw in the towels, and send Chukwa to
Apache Attics. In the past 10 years, original Chukwa design pattern has
become one of the most commonly used pattern for running reports on Big
Data. Each component can be take apart and re-engineer for better
performance. Many frameworks have sprouts to improve every aspect of big
data analytics. Kafka, Prometheus and Nifi have gotten better at data
collection than Chukwa agent/collectors. Parquet, HBase have gotten better
at storing compressed semi structure data than Hadoop RecordIO. Hive,
Spark, and Phoenix have gotten better at relational analysis than Mapreduce
+ Chukwa MDL. Grafana, Tableau are getting better at data visualization
than Chukwa HICC. Instead of a monolithic big data analytics framework,
Chukwa like system can be built from open source frameworks. Chukwa may
have inspired others to do better, or maybe it didn't. We thank you for
all your support over the years.
We have concluded that it would be irresponsible to keep our users and
developers waiting for a framework that is readily available in open
source. We wish you all the best in big data adventures. Farewell...
regards,
Eric
Re: So long, thanks for all the fish
Posted by Paul Tremblett <pt...@swva.net>.
I am proud to say I was one of the early users. It is a sad farewell. A heartfelt thank you.
Sent from my iPhone
> On Feb 1, 2020, at 12:24, Eric Yang <ey...@apache.org> wrote:
>
>
> Hi all,
>
> Chukwa developers have decided to throw in the towels, and send Chukwa to Apache Attics. In the past 10 years, original Chukwa design pattern has become one of the most commonly used pattern for running reports on Big Data. Each component can be take apart and re-engineer for better performance. Many frameworks have sprouts to improve every aspect of big data analytics. Kafka, Prometheus and Nifi have gotten better at data collection than Chukwa agent/collectors. Parquet, HBase have gotten better at storing compressed semi structure data than Hadoop RecordIO. Hive, Spark, and Phoenix have gotten better at relational analysis than Mapreduce + Chukwa MDL. Grafana, Tableau are getting better at data visualization than Chukwa HICC. Instead of a monolithic big data analytics framework, Chukwa like system can be built from open source frameworks. Chukwa may have inspired others to do better, or maybe it didn't. We thank you for all your support over the years.
>
> We have concluded that it would be irresponsible to keep our users and developers waiting for a framework that is readily available in open source. We wish you all the best in big data adventures. Farewell...
>
> regards,
> Eric
Re: So long, thanks for all the fish
Posted by lewis john mcgibbney <le...@apache.org>.
Well put Eric. Your points are clear and well made. Good work.
On Sat, Feb 1, 2020 at 09:24 Eric Yang <ey...@apache.org> wrote:
> Hi all,
>
> Chukwa developers have decided to throw in the towels, and send Chukwa to
> Apache Attics. In the past 10 years, original Chukwa design pattern has
> become one of the most commonly used pattern for running reports on Big
> Data. Each component can be take apart and re-engineer for better
> performance. Many frameworks have sprouts to improve every aspect of big
> data analytics. Kafka, Prometheus and Nifi have gotten better at data
> collection than Chukwa agent/collectors. Parquet, HBase have gotten better
> at storing compressed semi structure data than Hadoop RecordIO. Hive,
> Spark, and Phoenix have gotten better at relational analysis than Mapreduce
> + Chukwa MDL. Grafana, Tableau are getting better at data visualization
> than Chukwa HICC. Instead of a monolithic big data analytics framework,
> Chukwa like system can be built from open source frameworks. Chukwa may
> have inspired others to do better, or maybe it didn't. We thank you for
> all your support over the years.
>
> We have concluded that it would be irresponsible to keep our users and
> developers waiting for a framework that is readily available in open
> source. We wish you all the best in big data adventures. Farewell...
>
> regards,
> Eric
>
--
http://home.apache.org/~lewismc/
http://people.apache.org/keys/committer/lewismc
Re: So long, thanks for all the fish
Posted by "T. A. Smooth" <ca...@gmail.com>.
Congrats to the team !! 👐
On Sat, Feb 1, 2020, 7:24 AM Eric Yang <ey...@apache.org> wrote:
> Hi all,
>
> Chukwa developers have decided to throw in the towels, and send Chukwa to
> Apache Attics. In the past 10 years, original Chukwa design pattern has
> become one of the most commonly used pattern for running reports on Big
> Data. Each component can be take apart and re-engineer for better
> performance. Many frameworks have sprouts to improve every aspect of big
> data analytics. Kafka, Prometheus and Nifi have gotten better at data
> collection than Chukwa agent/collectors. Parquet, HBase have gotten better
> at storing compressed semi structure data than Hadoop RecordIO. Hive,
> Spark, and Phoenix have gotten better at relational analysis than Mapreduce
> + Chukwa MDL. Grafana, Tableau are getting better at data visualization
> than Chukwa HICC. Instead of a monolithic big data analytics framework,
> Chukwa like system can be built from open source frameworks. Chukwa may
> have inspired others to do better, or maybe it didn't. We thank you for
> all your support over the years.
>
> We have concluded that it would be irresponsible to keep our users and
> developers waiting for a framework that is readily available in open
> source. We wish you all the best in big data adventures. Farewell...
>
> regards,
> Eric
>
Re: So long, thanks for all the fish
Posted by lewis john mcgibbney <le...@apache.org>.
Well put Eric. Your points are clear and well made. Good work.
On Sat, Feb 1, 2020 at 09:24 Eric Yang <ey...@apache.org> wrote:
> Hi all,
>
> Chukwa developers have decided to throw in the towels, and send Chukwa to
> Apache Attics. In the past 10 years, original Chukwa design pattern has
> become one of the most commonly used pattern for running reports on Big
> Data. Each component can be take apart and re-engineer for better
> performance. Many frameworks have sprouts to improve every aspect of big
> data analytics. Kafka, Prometheus and Nifi have gotten better at data
> collection than Chukwa agent/collectors. Parquet, HBase have gotten better
> at storing compressed semi structure data than Hadoop RecordIO. Hive,
> Spark, and Phoenix have gotten better at relational analysis than Mapreduce
> + Chukwa MDL. Grafana, Tableau are getting better at data visualization
> than Chukwa HICC. Instead of a monolithic big data analytics framework,
> Chukwa like system can be built from open source frameworks. Chukwa may
> have inspired others to do better, or maybe it didn't. We thank you for
> all your support over the years.
>
> We have concluded that it would be irresponsible to keep our users and
> developers waiting for a framework that is readily available in open
> source. We wish you all the best in big data adventures. Farewell...
>
> regards,
> Eric
>
--
http://home.apache.org/~lewismc/
http://people.apache.org/keys/committer/lewismc