Data on Kubernetes Community

https://dok.community/

Workloads tell the true story of how Kubernetes is being used in production these days. We talked to 200 architects and DevOps engineers about the nitty gritty deployment details, especially around data-intensive workloads. The result is a report with quantitative information around workload numbers and types, preferred production environments, and what kind of teams are running it all.

Organizations are increasingly running data-intensive workloads on Kubernetes. Serverless technology, the cutting-edge tech whose moment always seems to be on the cusp of arriving, is finally here - and this has implications for the database.

Recovering journalist turned front end developer; Jamstack evangelist and Kubernetes curious. I like coffee, 8 bit video games and building things.

https://dok.community/

Prima and Tammy join us to discuss the bridges between Security and SRE. How can these two teams work best together? What can they learn from each other? Prima is a Security Engineer and Tammy is a Site Reliability Engineer. They are both Australians living in the USA with 10+ years of experience each working in tech.

1.You'll learn tips for SRE and Security teams to work together

2.You'll learn what SREs can learn from Security and vice versa

3.You'll learn about the new field of DevSecOps and how it can help your organisation improve

Tammy Bryant Butow is a principal SRE at Gremlin, where she works on chaos engineering—the facilitation of controlled experiments to identify improvements. Gremlin's enterprise Chaos Engineering platform makes it easy to build more reliable applications in order to prevent outages, innovate faster, and earn customer trust. Previously, Tammy led SRE teams at Dropbox responsible for the databases and storage systems used by over 500 million customers and was an IMOC (incident manager on call), where she was responsible for managing and resolving high-severity incidents across the company. She has also worked in infrastructure engineering, security engineering, and product engineering. Tammy is the cofounder of Girl Geek Academy, a global movement to teach one million women technical skills by 2025. Tammy is an Australian and enjoys riding bikes, skateboarding, snowboarding, and surfing. She also loves mosh pits, crowd surfing, metal, and hardcore punk.

Prima is a seasoned Security professional who has worked in a variety of industries such as Consumer Tech, Oil & Gas, Media, and Fin-tech. She is a Senior Security Engineer on the SIRT team at Segment where she enjoys creating automation tooling for Incident Response and occasionally dabbles in Security DevOps. She loves sharing her experiences with the industry and has spoken at many meetups and conferences globally including, but not limited to, Agile India 2020, MacDevOpsCon Vancouver 2019, and Grace Hopper Conference 2017.

https://dok.community/

Discussion around the drivers for DevOps data management and the primary data wait cases in the typical value stream. You’ll discover how data services solutions that enable instant data recovery and data copy will immediately accelerate your CI/CD pipeline.

We’ll discuss:

- the specific data wait time cases that could be bogging down your processes

- the infrastructure cost-efficiency of a data services platform for kubernetes

- the uplifting impact on productivity across developers, testers, and operations

With over 15 years of IT experience from core datacenter infrastructure to advanced cloud technologies, Barak leads ionir’s product and solutions portfolio, engaging with customers, partners, and acts as cloud-native storage advocate.

https://dok.community/

eBPF is one of the key technologies nowadays. There are several existing technologies in network or observability fields but not much in storage space. This presentation tells my research story and tries to define some of the possibilities of the technology.

eBPF is a key technology thats found in the market today. It is apparent that there are several existing technologies in both network or observability fields but not much in the way of storage space.

During the webinar Richard Kovacs, Integration Engineer will take you through:

- His research story & findings on eBPF

- Outline some of the possibilities of the technology

- Demonstrate findings via a live demo

Richard is a Kubernetes integration engineer at StorageOS with many years of DevOps background. His main focuses are Go micro-service and Kubernetes operator development. Richard is passionate about technology and innovation. His constant curiosity drives him to learn, gain knowledge and be an expert in this area. He also loves getting involved with open-source communities. He is also a frequent speaker at local conferences and community events.

- What is eBPF and why is it useful.

- What are the key features of eBPF in storage space.

- How to write our first eBPF plugin.

https://dok.community/

This talk will introduce Druid-Operator (https://github.com/druid-io/druid-operator) and how Kubernetes and Operator framework can be used to write an operator that enables provisioning, management, and scaling of a complex cluster of Apache Druid to 1000s of nodes.

This talk will cover why Kubernetes and the operator framework is a perfect fit for managing a complex stateful application. Learnings and pitfalls faced while writing the Druid-Operator and the special considerations to be taken into account when managing and scaling a stateful application.

Adheip Singh is a software engineer at Rill Data Inc. He is maintainer of druid-operator and kubectl-druid-plugin. Active contributor the operator ecosystem.

1.This session will help anyone looking for running Apache Druid on Kubernetes

2.It will help understand how someone can write operators to simplify the management of complex applications

3.Special considerations to take into account when managing and scaling a stateful application.

4.How to scope an operator within multiple namespaces

5.Druid operator features and how it scales and manages the underlying statefulsets and deployments.

https://dok.community/

Database Administrators (DBAs) have jobs today because someone recognized that data is critical.

It's critical to businesses, who need it to make good decisions.

It's critical to users, who need to know how many people liked their recent post.

DBAs developed process and maybe even automation to ensure that this critical data is available and secure, while accessing it is fast.

And now someone wants them to put that critical data on Kubernetes and they've got some concerns.

In this session, you will learn how to DBA through the lens of exploring typical tasks of Data Availability, Security and Performance on Kubernetes.

And if you're not a DBA, hopefully you will gain some empathy for your poor DBA.

https://dok.community/

You want to build a Kubernetes Operator for your software. Which tool to choose? Operator SDK with Helm, Ansible, or Go? Or maybe start from scratch with Python, Java, or any other programming language? And what is the right phase in the Operator Capability/Maturity Model that you should provide?

In my talk I'll present:

- Different ways of building Kubernetes Operators

- Demo of building the same Operator using different tools

- Methods used by the most popular Operators (Couchbase, Prometheus, MongoDB)

- Operator Capability Model and how it affects your toolkit

- Our journey with Hazelcast Operator

Tech Lead of the Cloud-Native Team at Hazelcast, author of the book "Continuous Delivery with Docker and Jenkins", trainer, and conference speaker. He specializes in Java development, Cloud environments, and Continuous Delivery. A former employee in a number of companies and scientific organizations: Google, CERN, AGH University, and more.

https://dok.community/

Azure Arc enabled Data Services allows organizations to run the Azure dialect of database-as-a-service on Kubernetes on virtually any cloud or infrastructure. This session will cover the architecture of this new product, how it is deployed, the dialects of database engine that it currently supports and the storage considerations for deploying this service.

Chris has been working with databases for over twenty years in various roles ranging from DBA to developer to architect. Chris currently works at Pure Storage as a solutions architect and one of his main focus areas is databases running on Kubernetes, Chris is also a

co-organizer of the Azure Cloud Native Data Platform meetup user group.

https://dok.community/

The National Security Agency (NSA) and the Cybersecurity and Infrastructure Security Agency (CISA) have published comprehensive recommendations for strengthening the security of an organization’s Kubernetes system to help companies make their Kubernetes environment more difficult to compromise. one of the key areas this report covers is how to configure K8s to prevent data breaches. in this session, Leonid Sandler, ARMO CTO and Co-Founder, will review this guidance, and its impact on K8s data protection and will reveal everything you should know before choosing Kubernetes secret management method.

Leonid Sandler is CTO and co-founder of ARMO, 20+ years software security experience, NDS CTO Software Security, Designed Cloud Security products serving the world largest content providers. Built & managed Product and Development team of over 130 people

* How to use NSA & CISA K8s hardening guidance

* How to protect K8s secrets

https://dok.community/  

Building a gateway api architecture is not an easy task. In this presentation Leonardo will talk about how the microgateway strategy can be used to resiliently and reliably expose apis in a cloud native environment while increasing the productivity of engineering teams.  

BIO  

Experienced Senior Solutions Architect and DevSecOps Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Microservices architecture, AWS Cloud Architecture, DevOps, and Kubernetes.  

KEY TAKE-AWAYS FROM THE TALK  

Use microgateway architecture to expose APIs instead of monolithic approaches. You can combine API gateways, kubernetes and istio features to increase your system's resilience whithout losing control of security and compliance You can apply gitops techniques to improve teams performance in real world projects.