What we’re about
BayLISA is the premiere system administration user group in Silicon Valley and the San Francisco Bay Area. Founded in the very early 90s after the fourth Large Installation System Administration (LISA) conference, BayLISA has supported and educated systems, network, storage, virtualization, and other technology professionals in the Bay Area for over 20 years.
We use Meetup to coordinate meeting attendance, announcements, and reminders. We have our official organizational presence on the web, including links to membership, sponsorship, and mailing lists, at www.baylisa.org.
Our legacy description:
One way to put it is that there are many user groups, but we are the sysadmins group. BayLISA includes system and network administrators across a range of skill levels. BayLISA meets monthly to discuss topics of interest to administrators and managers of sites supporting more than 100 users and/or computers. The meetings are free and open to the public.
BayLISA grew out of an after-hours discussion among attendees of the USENIX LISA IV conference. The idea was to provide a forum for Sysadmin professionals in the San Francisco Bay area to get together and exchange ideas, hear speakers address topics of interest and most importantly, socialize.
BayLISA stands for: Bay Area Large Installation System Administrators
See you at the meetup!
For our meeting this month, we're joining forces with the Cloud-Native Multi-Cluster Group to bring you three talks, although logistics has required that we meet at a different date & time than the norm for us. We think you'll find the subject matter worth the effort!
Talks:
1. Building a Scalable and Reliable Kubernetes Platform at Intuit
At Intuit, we run a large fleet of more than 300 Kubernetes clusters comprising of 26,000 namespaces that support the growing needs of our fintech applications. In this technical talk, I will share our journey of building and scaling the Intuit Kubernetes Cluster, and how we built multi-cluster management tools to manage our growing number of clusters across business units and multiple regions.
We will dive into our approach to adding new clusters to our platform, and how we have streamlined this process to ensure security, consistency and reliability. We will also discuss our approach to continuous cluster upgrades, GitOps, and automation around it. We will explore how we have implemented GitOps in general, and how it has helped us to achieve a more reliable, predictable and scalable deployment process.
We will also discuss our application abstraction and Paved Paths approach, which has enabled our developers to focus on building applications rather than managing infrastructure. We will explore how we have abstracted away the complexity of Kubernetes for our developers, and how we have provided them with a set of predefined paths to follow for deploying their applications.
Join me to learn how we have built a scalable and reliable Kubernetes platform at Intuit, and how you can apply these best practices to your own Kubernetes deployments.
Bio: Anusha Ragunathan is a Principal Engineer at Intuit, where she works on building and maintaining the company’s Kubernetes based Compute Infrastructure. Anusha is passionate about solving complex problems in systems and infrastructure engineering. Prior to Intuit, she worked on building distributed systems at Docker and VMware. Her interests include containers, virtualization, and cloud-native technologies.
2. Inventing the Next-Generation Big Data Platform with Kubernetes
Cloudera's Private Cloud distribution of the Cloudera Data Platform (CDP) enables the separation of Storage and Compute to provide independent scaling of Data Warehouse, Data Engineering, and Machine Learning workloads running on top of a shared, open-source storage architecture. It lets users take full advantage of Kubernetes to munge, cleanse and model data while keeping costs low and ensuring enterprise-grade security and governance.
Bio: Christopher is a Principal Engineer from Cloudera in Santa Clara, California. He has worked as a software engineer, technical lead, and manager for more than 25 years. He has worked in distributed computing, kernel development for all of the major platforms, and large scale real-time distributed file systems for production systems. At Cloudera, Christopher is one of the leaders of the development of their on-premise analytics and data management platform.
3. State of Multi-Cluster: Past, Present, and Future
With the wide adoption of Kubernetes and cloud native deployments, fleet management of multiple clusters in single cloud as well as multi-cloud environments is an ongoing challenge for Enterprises. This talk will share ways to manage cluster fleets in both single and multi-cloud environments, and suggest best practices to prevent wasted resources and wasted time for IT Operators. Demo included!
Bio: Madhuri is a systems engineer with 20+ years experience in database server technologies (Oracle), virtualization (VMware), and container technologies (ClusterHQ) before founding Elotl. Madhuri received her Masters in Computer Science from Indiana University Bloomington, and Bachelors in Computer Science from Indian Institute of Technology Kharagpur.
Agenda:
6:00-6:30 PM: Mingle, pizza, drinks
6:30pm-6:40 PM: Welcome message from Madhuri, BayLISA
6:40pm-7:10 PM: 1. Intuit (headline talk)
7:10pm-7:35 PM: 2. Cloudera
7:35pm-8:00 PM: 3. Elotl
Location:
Cloudera
5470 Great America Pkwy
Santa Clara, CA 95054
http://foo.baylisa.org/images/cloudera-sc1-parking-map.jpeg
Registration:
Please put your info into this simple Google form https://forms.gle/UtnMZP9dTQEvPqBU6 to prevent a bottleneck with Cloudera security. We will provide this data to Cloudera at 5:00 PM the Monday prior to the meeting (i.e. 9/25 @5PM).
Upcoming events (4+)
See all- Kubernetes at Scale--a joint event with the Cloud Native Multi-Cluster GroupLink visible for attendees
For our meeting this month, we're joining forces with the Cloud-Native Multi-Cluster Group to bring you three talks, although logistics has required that we meet at a different date & time than the norm for us. We think you'll find the subject matter worth the effort!
Talks:
1. Building a Scalable and Reliable Kubernetes Platform at Intuit
At Intuit, we run a large fleet of more than 300 Kubernetes clusters comprising of 26,000 namespaces that support the growing needs of our fintech applications. In this technical talk, I will share our journey of building and scaling the Intuit Kubernetes Cluster, and how we built multi-cluster management tools to manage our growing number of clusters across business units and multiple regions.
We will dive into our approach to adding new clusters to our platform, and how we have streamlined this process to ensure security, consistency and reliability. We will also discuss our approach to continuous cluster upgrades, GitOps, and automation around it. We will explore how we have implemented GitOps in general, and how it has helped us to achieve a more reliable, predictable and scalable deployment process.
We will also discuss our application abstraction and Paved Paths approach, which has enabled our developers to focus on building applications rather than managing infrastructure. We will explore how we have abstracted away the complexity of Kubernetes for our developers, and how we have provided them with a set of predefined paths to follow for deploying their applications.
Join me to learn how we have built a scalable and reliable Kubernetes platform at Intuit, and how you can apply these best practices to your own Kubernetes deployments.
Bio: Anusha Ragunathan is a Principal Engineer at Intuit, where she works on building and maintaining the company’s Kubernetes based Compute Infrastructure. Anusha is passionate about solving complex problems in systems and infrastructure engineering. Prior to Intuit, she worked on building distributed systems at Docker and VMware. Her interests include containers, virtualization, and cloud-native technologies.
2. Inventing the Next-Generation Big Data Platform with Kubernetes
Cloudera's Private Cloud distribution of the Cloudera Data Platform (CDP) enables the separation of Storage and Compute to provide independent scaling of Data Warehouse, Data Engineering, and Machine Learning workloads running on top of a shared, open-source storage architecture. It lets users take full advantage of Kubernetes to munge, cleanse and model data while keeping costs low and ensuring enterprise-grade security and governance.
Bio: Christopher is a Principal Engineer from Cloudera in Santa Clara, California. He has worked as a software engineer, technical lead, and manager for more than 25 years. He has worked in distributed computing, kernel development for all of the major platforms, and large scale real-time distributed file systems for production systems. At Cloudera, Christopher is one of the leaders of the development of their on-premise analytics and data management platform.
3. State of Multi-Cluster: Past, Present, and Future
With the wide adoption of Kubernetes and cloud native deployments, fleet management of multiple clusters in single cloud as well as multi-cloud environments is an ongoing challenge for Enterprises. This talk will share ways to manage cluster fleets in both single and multi-cloud environments, and suggest best practices to prevent wasted resources and wasted time for IT Operators. Demo included!
Bio: Madhuri is a systems engineer with 20+ years experience in database server technologies (Oracle), virtualization (VMware), and container technologies (ClusterHQ) before founding Elotl. Madhuri received her Masters in Computer Science from Indiana University Bloomington, and Bachelors in Computer Science from Indian Institute of Technology Kharagpur.
Agenda:
6:00-6:30 PM: Mingle, pizza, drinks
6:30pm-6:40 PM: Welcome message from Madhuri, BayLISA
6:40pm-7:10 PM: 1. Intuit (headline talk)
7:10pm-7:35 PM: 2. Cloudera
7:35pm-8:00 PM: 3. ElotlLocation:
Cloudera
5470 Great America Pkwy
Santa Clara, CA 95054
http://foo.baylisa.org/images/cloudera-sc1-parking-map.jpegRegistration:
Please put your info into this simple Google form https://forms.gle/UtnMZP9dTQEvPqBU6 to prevent a bottleneck with Cloudera security. We will provide this data to Cloudera at 5:00 PM the Monday prior to the meeting (i.e. 9/25 @5PM).
