azkaban github.io

Azkaban

Is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows. Compatible with any version of Hadoop. Easy to use web UI. Simple web and http workflow uploads. Tracking of user actions. Email alerts on failure and successes. SLA alerting and auto killing. Retrying of failed jobs.

OVERVIEW

The site azkaban.github.io presently has a traffic classification of zero (the lower the more traffic). We have crawled three pages within the web page azkaban.github.io and found twenty websites referencing azkaban.github.io.
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3
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20

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LINKS TO AZKABAN.GITHUB.IO

Erik Bernhardsson

I started writing this blog in late 2012, partly because I felt like it would help me improve my English and my writing skills, partly because I kept having a lot of random ideas in my head and I wanted to write them down somewhere. New benchmarks for approximate nearest neighbors. Books I consumed in 2017. Plotting author statistics for Git repos using Git of Theseus. I spent six years at a company.

Felipe Besson

Persisting extracted data into Mysql. Specially because of the 2th. Step, we opted by Linkedin Azkaban.

Infinity Interactive

We bring a deep bench of industry veterans with a wide variety of tools in our tool belts. We tackle technology challenges across the spectrum; front-end, back-end, and everything in between. 3 things to know about us. We understand how confusing the world of coding and development can be.

クラウドワークス エンジニアブログ

理解 発散 決定 試作 検証 という5つの手順を5日間かけて行う.

WePay Engineering Blog

Supporting Chip Cards at WePay. You have probably noticed that your credit cards now have little chips in them. WePay uses Apache Kafka as its real time message broker service to publish and consume realtime events. Messages published to Kafka topics can adhere to. Interviewing at WePay - The Why. Training machine learning models with Airflow and BigQuery.

Confluent Real-time Data Streams

The value of Apache Kafka in Big Data ecosystem. Confluent will be at QCon NYC next week. How I Learned to Stop Worrying and Love the Schema, part 1. Compatibility Testing For Apache Kafka.

WHAT DOES AZKABAN.GITHUB.IO LOOK LIKE?

Desktop Screenshot of azkaban.github.io Mobile Screenshot of azkaban.github.io Tablet Screenshot of azkaban.github.io

AZKABAN.GITHUB.IO SERVER

We found that the main root page on azkaban.github.io took one hundred and forty-one milliseconds to come up. Our web crawlers could not observe a SSL certificate, so in conclusion our crawlers consider this site not secure.
Load time
0.141 sec
SSL
NOT SECURE
IP
199.27.76.133

FAVICON

SERVER SOFTWARE

We discovered that azkaban.github.io is weilding the GitHub.com operating system.

SITE TITLE

Azkaban

DESCRIPTION

Is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows. Compatible with any version of Hadoop. Easy to use web UI. Simple web and http workflow uploads. Tracking of user actions. Email alerts on failure and successes. SLA alerting and auto killing. Retrying of failed jobs.

PARSED CONTENT

The site had the following in the web page, "Is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs." I observed that the web site stated " Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows." They also stated " Compatible with any version of Hadoop. Easy to use web UI. Simple web and http workflow uploads. Email alerts on failure and successes. SLA alerting and auto killing."

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