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Cloud Log Analysis with Jack Naglieri

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Conteúdo fornecido por Security – Software Engineering Daily. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Security – Software Engineering Daily ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Large software companies have lots of users, and the activity from those users results in high volumes of traffic. These companies also have a large surface area across the enterprise.

There are hundreds of services and databases that are fulfilling user requests. As these requests enter the infrastructure of the enterprise, the requests travel through the different services and result in database queries, payments, and other transactions. These transactions result in the generation of log messages. The log messages tell the story of what is happening across the entire company.

Log messages can provide valuable data for security and site reliability engineering. But analyzing a high volume of log data requires a scalable system that can account for that high volume.

Jack Naglieri is the CEO of Panther Labs. He previously worked at Airbnb, where he helped develop a system called StreamAlert. At Airbnb, log messages are buffered into distributed queueing systems like Kafka or Kinesis, and they are written to bucket storage systems like S3. Those logs are processed by AWS Lambda functions that test the log messages for rules defined by a system operator.

Jack left Airbnb and started Panther Labs to generalize the tools he built within Airbnb and build a company around the same ideas. Jack joins the show to discuss modern logging infrastructure, his work at Airbnb, and his experience building Panther.

Contact Panther Labs at…

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Cloud Log Analysis with Jack Naglieri appeared first on Software Engineering Daily.

  continue reading

73 episódios

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iconCompartilhar
 

Série arquivada ("Feed inativo " status)

When? This feed was archived on July 28, 2022 13:09 (1+ y ago). Last successful fetch was on April 07, 2022 07:18 (2y ago)

Why? Feed inativo status. Nossos servidores foram incapazes de recuperar um feed de podcast válido por um período razoável.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 251870226 series 1438211
Conteúdo fornecido por Security – Software Engineering Daily. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Security – Software Engineering Daily ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Large software companies have lots of users, and the activity from those users results in high volumes of traffic. These companies also have a large surface area across the enterprise.

There are hundreds of services and databases that are fulfilling user requests. As these requests enter the infrastructure of the enterprise, the requests travel through the different services and result in database queries, payments, and other transactions. These transactions result in the generation of log messages. The log messages tell the story of what is happening across the entire company.

Log messages can provide valuable data for security and site reliability engineering. But analyzing a high volume of log data requires a scalable system that can account for that high volume.

Jack Naglieri is the CEO of Panther Labs. He previously worked at Airbnb, where he helped develop a system called StreamAlert. At Airbnb, log messages are buffered into distributed queueing systems like Kafka or Kinesis, and they are written to bucket storage systems like S3. Those logs are processed by AWS Lambda functions that test the log messages for rules defined by a system operator.

Jack left Airbnb and started Panther Labs to generalize the tools he built within Airbnb and build a company around the same ideas. Jack joins the show to discuss modern logging infrastructure, his work at Airbnb, and his experience building Panther.

Contact Panther Labs at…

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Cloud Log Analysis with Jack Naglieri appeared first on Software Engineering Daily.

  continue reading

73 episódios

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