Data on Kubernetes Community

https://dok.community/

Helm allows you to install packages in your cluster, much like you would use apt, yum on your laptop. Just define the components that you want to install in your application, and it will take care of the installation and configuration of these components, saving you from headaches. This talk will go through the package manager for Kubernetes and its components. In the end, we would deploy an application with Helm to our cluster with Portainer.

Hrittik is a Portainer Advocate, a software engineer at Ayedo GmbH and a student in his sophomore year. Hrittik focuses on building tech communities and software with the help of cloud native technologies. He has been a speaker at conferences like the Cloud Summit and conducted various events that have collectively empowered students and professionals on DevOps and Cloud. Connect with him here: https://linktr.ee/hrittikhere

- Understand Helm, Charts and Repositories

- Understand the need for the package manager

- Install Application with Helm via Portainer

https://dok.community/

Modern web applications are typically comprised of multiple services which utilize storage in a variety of ways. Utilizing storage in Kubernetes introduces challenges that are not obvious while developing locally. We’ll introduce these challenges and show good and bad ways to handle them. We’ll dive into the details of an application along with its deployment in Kubernetes to understand why certain storage patterns are problematic and how they can be modified to behave well in a Kubernetes-based deployment.

Rob Pacheco is currently leading cloud operations at Rumble. Prior to Rumble, Rob spent time at Vision Government Solutions as well as Black Duck Software re-architecting, securing, and containerizing its products to run within containerized environments, including Kubernetes and Google Kubernetes Engine. Rob is also the author of the liveProject “Creating and Managing Cloud Native Services in Kubernetes”, and the upcoming liveVideo “Surviving Kubernetes Deployments as an Application Developer”

* Behavior stateful primitives in Kubernetes

* Common storage patterns in web applications

* Patterns for well-behaved storage in a Kubernetes cluster

https://dok.community/

It's one thing to get a database up and running on Kubernetes; it's another to run it in production.

There are many "Day 2" features to think about when running any database in production, including high availability, backups + RTO/RPO, monitoring, security, and disaster recovery. Combining Kubernetes with the Operator pattern can help make this easier, and add advanced features like self-healing, simple scaling, secure credential management, and more.

PGO, the open source Postgres Operator from Crunchy Data, makes it easy to manage production Postgres clusters on Kubernetes the GitOps way. Using simple manifests, PGO deploys HA Postgres clusters with self-healing capabilities that apps can securely connect to.

In this talk we will review the important concepts to know for running databases in production, how PGO implements these features, and then spend most of the time demoing how all of the key "Day 2" features work with a PGO-managed Postgres databases connected with an application!

Jonathan S. Katz is the VP of Platform Engineering at Crunchy Data, with a focus on managing PGO, an open source Postgres Operator.

Jonathan is a member of the PostgreSQL Core Team and involved in various governance aspects of the PostgreSQL Global Development Group. He serves as a Secretary and Director of the nonprofit PostgreSQL Community Association of Canada and is a Director of the nonprofit United States PostgreSQL Association. He has given talks at conferences all over the world for over a decade on topics involving Postgres, from application developer uses to operations, particularly focusing on Kubernetes over the past several years.

Prior to Crunchy Data, Jonathan was CTO at VenueBook, and before that, VP of Technology at Paperless Post. At both companies Jonathan developed robust platforms using PostgreSQL, taking advantage of its many features, from complex data types to its ability to stream logical changes. Jonathan graduated from Tufts University with a B.S. in Computer Science and a B.A. in Mathematics.

https://dok.community/

Complex computational workloads in Python are a common sight these days, especially in the context of processing large and complex datasets. Battle-hardened modules such as Numpy, Pandas, and Scikit-Learn can perform low-level tasks, while tools like Dask makes it easy to parallelize these workloads across distributed computational environments. Meanwhile, Argo Workflows offers a Kubernetes-native solution to provisioning cloud resources in Kubernetes and triggering workflows on a regular schedule. Being Kubernetes-native, Argo Workflows also meshes nicely with other Kubernetes tools. This talk discusses the combination of these two worlds by showcasing a set-up for Argo-managed workflows which schedule and automatically scale-out Dask-powered data pipelines in Python.

Former academic in the field of renewable energy simulation and energy systems analysis. Currently responsible for architecting and maintaining the cloud- and data strategy at ACCURE Battery Intelligence

Argo Workflows + Dask is a nice combination for data-processing pipelines. There are a a few "gotchyas" to be on the look-out for, but in nevertheless this is still a generally-applicable and powerful combination.

https://github.com/sevberg

https://dok.community/

An introduction to OraOperator, the open source project that makes Oracle Database Kubernetes-Native.

Paulo works as the Developer Evangelist at Oracle focuses on Microservices, Application Development with Converged Oracle Database, and Event Mesh. His current technical expertise focuses on Cloud Native architecture and best practices, including containerization and microservices development.

Oracle Database as a Kubernetes-native platform.

Simplified way to operator Oracle Database.

https://dok.community/

6 months have passed since our last DoK webinar about benchmarking PostgreSQL workloads in a Kubernetes environment. In the meantime, many things have happened at EDB, and we’re happy to share what we’ve learned in this timeframe. We’ll use cnp-bench and cnp-sandbox to help us describe some of the challenges we might face when running PostgreSQL workloads, how to spot them, and what actions to take to make your databases healthier and more longeve.

cnp-bench is a collection of Helm charts that help run storage and database benchmarks, using popular open source tools like fio, pgbench, and HammerDB. cnp-sandbox is a Helm chart that sets up a Prometheus/Grafana stack, including basic metrics and dashboards for Cloud Native PostgreSQL, the Kubernetes operator developed by EDB. Both cnp-sandbox and cnp-bench are open source and recommended for development, testing, and pre-production environments only.

A long time open-source programmer and entrepreneur, Gabriele has a degree in Statistics from the University of Florence. After having consistently contributed to the growth of 2ndQuadrant and its members through nurturing a lean and devops culture, he is now leading the Cloud Native initiative at EDB. Gabriele lives in Prato, a small but vibrant city located in the northern part of Tuscany, Italy - famous for having hosted the first European PostgreSQL conferences. His second home is Melbourne, Australia, where he studied at Monash University and worked in the ICT sector. He loves playing the Blues with his Fender Stratocaster, but his major passions are called Elisabeth and Charlotte!

- A methodology for benchmarking a PostgreSQL database in Kubernetes

- Open source set of tools for benchmarking a PostgreSQL database in Kubernetes

- Reasons why benchmarking both the storage and the database is important

https://github.com/EnterpriseDB/cnp-sandbox

https://github.com/EnterpriseDB/cnp-bench

https://dok.community/

Some of the topics that may or may not be discussed on this live talk could be:

- Other than Patroni and the operator, what else was needed to fully switch to Kubernetes?

- What is left, what is the future going to bring to the world of Kubernetes and Postgres operators?

Expect strong opinions, and facts. Live. Uncensored. Postgres. On. Kubernetes.

Álvaro is a passionate database and software developer. He founded and works as the Founder & CEO of OnGres (https://ongres.com). He has been dedicated to PostgreSQL and R&D in databases for two decades.

An open source advocate and developer at heart, Álvaro is a well-known member of the PostgreSQL Community, to which he has contributed founding the non-profit Fundación PostgreSQL (https://postgresql.fund) and the Spanish PostgreSQL User Group.

You can find him frequently speaking at PostgreSQL, database, cloud, and Java conferences. Every year, Álvaro travels approximately three-four times around the globe—in 2020 (or now more likely 2021 due to COVID-19), he will hit the milestone of having delivered 100 tech talks.

AWS Data Hero (2019).

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During his professional career, Alexander touched PostgreSQL from all possible sides: as a Web Developer, as System Administrator, and as a Database Engineer now. Five years ago he started working on Patroni project and achieved quite a big success with it. Nowadays Patroni is used in the heart of PostgreSQL-as-a-Service on Kubernetes at Zalando to run 1000+ PostgreSQL HA clusters. Besides that, Alexander periodically reports bugs and contributes patches to PostgreSQL and some other open-source projects (usually Postgres related).

https://dok.community/

With Percona Kubernetes Operators you can migrate your data to Kubernetes or have a disaster recovery site to recover it in unfortunate times. I'll talk about the implementation, challenges and caveats of such setups and what the future may bring.

https://dok.community/

Yellowbrick's cloud data warehouse is natively integrated with Kubernetes. Not only does Kubernetes provide the elasticity, resilience and upgradeability expected of a modern data warehouse, it also enables Yellowbrick to be deployed anywhere: in public clouds, private clouds and at the network edge. During this talk, we will dive into the details of how we use Kubernetes to power our data warehouse solution, how we've created a SQL interface to Kubernetes, and give a live demo. We'll also talk about the business value that enterprises can derive from such a flexible solution built on Kubernetes.

You'll come away with: an understanding of the business value derived from a Kubernetes-based data warehouse; insight into our SQL interface to Kubernetes; and the overall capabilities of Yellowbrick

Before joining Yellowbrick as CTO, Mark was Vice President for Data and Analytics at Teradata, where he led a variety of product management and technology teams in data warehouse and advanced analytics groups.

He was also Chief Architect of Teradata’s IoT Analytics effort. Mark joined Teradata in 2014 when Teradata acquired the startup RainStor, where he was a co-founding developer and Chief Architect. Prior to RainStor, Mark was a lead scientist in the UK Ministry of Defence.

Mark holds a Ph.D. in computational physics from Newcastle University, UK, with a thesis centered on discovering the electronic and non-linear optical properties of quantum dots. As a research fellow at Newcastle, he developed new techniques to model these novel quantum structures using large-scale parallel and distributed computing approaches..

https://dok.community/

Fear, anxiety, uncertainty, frustration- any of these sound familiar since the pandemic started? How is your organization addressing the challenges of Covid-19 on mental health?

We will start this session with an overview from Erin Grinshteyn, who is an Associate Professor at the University of San Francisco and has done research about the impact of fear in various collectives. From there we will have Andrea Dobson, Head of People at Container Solutions who is also a psychologist, and Julia Simon, HR Professional and Leader at the #burnout group in the CNCF