Data on Kubernetes Community

More and more companies around the world are adopting SRE. Despite Google's great book series regarding SRE, there is no default implementation for SRE. Join me and watch me explain this by taking my home country as an example =).

I work as a SRE for several customers at hcs-company.com . My past as network engineer in the global Business Process Outsourcing (BPO) business in combination with my studies and passion for getting things done has landed me in the SRE role. For me a perfect fit! From Business to Code, from Infrastructure to end-users. A great position where you get to see the big picture!

In this talk I describe that there is no singular way for implementing SRE throughout the world. Many company's have had structures in place for several decades that can make it several times harder (or easier) to implement SRE. In my talk I explain how I see SRE within the Netherlands, my home country.

Databases like PostgreSQL cannot run on Kubernetes. That’s the refrain we hear all the time, as well as the motivation for us to break this barrier, once and for all. Hear the story of our journey so far about bringing PostgreSQL to Kubernetes. Discover why we believe that benchmarking both the storage and the database before production leads to a healthier and longer experience of the DBMS, even in Kubernetes. We’ll be sharing our process, and the results obtained so far, and unveil our plans for the future.

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!

Francesco is a senior software engineer and member of the EDB Cloud Native team. With a background in system and PostgreSQL administration, he works on automation, CI/CD, testing, and compliance for the Cloud Native PostgreSQL operator.

1. A methodology for benchmarking a PostgreSQL database in Kubernetes 2. Open source set of tools for benchmarking a PostgreSQL database in Kubernetes 3. Reasons why benchmarking the storage and the database is important

Enterprises of all sizes are embracing hybrid cloud strategies that are ever more complex and structured, moving quickly from a first adoption phase, where data and applications are distributed manually and statically across different on-premises and cloud environments, to a new paradigm in which data and application mobility is the key to flexibility and agility. Now organizations want the freedom to choose where applications and data should run dynamically, depending on any number of business, technical, and financial factors. Kubernetes is instrumental in executing this vision, but it needs the right integration with infrastructure layers—such as storage—to make it happen.

Enrico has more than 25 years in technical product strategy and management roles. He has advised mid-market and large enterprises across numerous industries, and worked with a range of software companies from small ISVs to global providers. Enrico is an internationally renowned expert on data storage—and a visionary, author, blogger, and speaker on the topic. He has tracked the evolution of the storage industry for years, as a Gigaom Research Analyst, an independent analyst, and as a contributor to the Register.

- Major differences between traditional storage with CSI compatibility and K8 storage - How to evaluate data storage solutions for K8s - Important evaluation metrics to consider and why - The market landscape

Are you a seasoned T-SQL developer, used to solve each and every challenge by writing plain old SQL? But, now you need to leverage data coming from semi-structured or unstructured sources? What if I tell you that you can get your mission accomplished by writing your favorite T-SQL syntax? In this session, you will learn what is a Serverless SQL pool within Azure Synapse Analytics, how it works behind the scenes, and how can you preserve your "T-SQL Ninja" status even when dealing with the data coming from CSV and Parquet files, or from NoSQL database.

I'm making music from the data! PowerBI and SQLServer addict, MCT, Pluralsight Author, blogger, speaker...Interested in everything related to data - always eager to extract valuable info from raw data in the most effective way. Multi-year experience working with (predominantly) Microsoft Data Platform (SQL Server, SSAS, SSIS, SSRS, and Power BI). Father of 2 and true football (and Barca) fan!

Modern applications are built to run on containerized infrastructure. Businesses are also migrating their existing apps from traditional to container deployments. In such a scenario, gaining end-to-end visibility of the complete Kubernetes container environment is an important challenge for the IT Operators/Administrators. In this talk, we will cover the following. - New-age business complexities. - How applications are moving from monolith to microservice architecture. - Operational challenges in monitoring the container architecture. - Strategies to efficiently manage the life cycle of the containers.

Rajalakshmi Srinivasan, or Raji as she’s fondly called, is a Director of Product Management at Zoho Corp. In her 21 years journey with the company, she has gained extensive experience ranging from database scaling and network monitoring to application performance tracking and end-user-experience management. She currently leads the application performance monitoring section in Site24x7 - a cloud-based all-in-one monitoring product from Zoho Corp. Her greatest asset though is the profound wisdom that she has gathered through the years on how to innovate and improvise on an idea, how to rally a team around it, and how to execute it to perfection consistently ahead of the competition. She has an engineering degree in Computer Science from The College Of Engineering, Guindy (CEG), Chennai. She is a fitness freak. When she is not working, you can spot her running marathons, participating in clean-up drives, and traveling places along with her 3 little ones.

Continuous Delivery practices have evolved significantly with the cloud-native paradigm. GitOps & Chaos Engineering are at the forefront of this new CD approach, with an ever-increasing pattern involving Git-backed pipeline definitions that implement “chaos stages” in pre-prod environments to gauge service-level objective (SLO) compliance. In this talk, Juergen Etzlstorfer (maintainer of Keptn CNCF project) will discuss how you can construct pipelines that include chaos experimentation (using LitmusChaos) while simulating real-world load, and implement quality gates (based on SLOs) to ensure only resilient applications are deployed into production. He will also demonstrate how you can include chaos tests to your existing CD pipelines without the need of rewriting them.

Jürgen is a Technology Strategist at Dynatrace and a maintainer of the Keptn open-source project. Within Keptn, he is working with the broader open-source tooling landscape on tools integrations and takes care about its growing community & ecosystem. He also loves to share his experience, most recently at conferences on Kubernetes based technologies, open-source and automation.

Are you new to azure kubernetes service and just want to see how the nuts and bolts come together ? This is the talk to be. Single slide and a end to end demo on how to run your first container on aks.

I contribute in building Digital Experiences for our Farmers Worldwide, through Platforms and Services. Passionate about building Distributed and Scalable Systems in Microsoft Azure. My Day to Day Work is around - Apps, Data, Storage, Identity, Integration, Serverless and Site Reliability Engineering #PlatformEngineering #AKS #Kubernetes #EventDrivenArchitecture #Microservices #Observability #Leadership I Blog at https://dev.to/irajbalakrish

1. setting up your aks cluster 2. running your first container

We'll discuss best practices companies are adopting for enterprise-grade Kubernetes Management.

Haseeb Budhani is the CEO of Rafay Systems, which he co-founded in late 2017. Prior to Rafay, Haseeb oversaw Akamai Technologies' expansion into the enterprise marketas the company's Vice President of Enterprise Strategy. Akamai acquired Haseeb's previous company, Soha Systems, in 2016. Haseeb co-founded Soha in 2013 and served as the company's CEO. Prior to Soha, Haseeb served as the Chief Product Officer for Infineta Systems, where he was responsible for overseeing all aspects of the company's product marketing, marketing communications and partner management activities. Previously, Haseeb held senior product management, marketing and engineering roles at NET, Personal IT, Citrix Systems, Orbital Data, IP Infusion and Oblix. Haseeb holds an MBA from UC Berkeley’s Haas School of Business and a B.S. in Computer Science from the University of Southern California.

A list of must-have tools and integrations for any enterprise running production apps on Kubernetes.

Often when I talk about putting observability data into PostgreSQL people ask me: are you crazy? And yet this somewhat heretical view has the potential to unlock a lot of the power and promise of observability. Thanks to TimescaleDB (an extension to PostgreSQL), storing time series, metric data inside of a relational database is now efficient, fast, and scalable. This is thanks to its unique partitioning, compression, and horizontal-scalability features.  But even if this is possible to do, why would you? The answer to that lies in the power of a flexible data model, joins, and SQL (which Promscale supports in addition to PromQL). A flexible data model allows you to combine metric data with various other data - from machine information such as the number of cores, memory, etc. to location information using GPS coordinates. This allows you to enrich your metrics with supplemental information using joins and performing much more sophisticated analysis using SQL for capacity analysis, BI, and more.  A flexible data model brings us to our second heretical idea: combining multiple modalities of observation in a single database. Combining metrics, logs, traces, event data, etc. in one DB has two major advantages: the first being a similar analytical advantage to what is described above: the ability to join and cross-correlate various types of signals together. The second major advantage is operational simplicity. As we all know, databases are the hardest things in our infrastructure to maintain and operationalize because of that pesky thing called state. So why maintain multiple different types of database systems if you could maintain just one?  While these ideas about observability data on Kubernetes may seem unusual and counter-intuitive, I hope they will generate interest and start a good conversation.

Mat has been working on data infrastructure in both academia and industry for the past decade. Currently, he is leading the Promscale team, to make it easy for people to store and analyze their Prometheus data in both PromQL and SQL. Previously, he completed his Ph.D. at Princeton and then worked as one of TimescaleDB's core architects where he concentrated on performance, scalability, and query power.

Kubernetes provides different resources for deploying applications, we will be looking at them and the differences between them and how can we persist data using each of them.

I am a Senior DevOps Engineer & Trainer with hands-on experience of architecting, developing, automating and optimizing production grade deployments on Kubernetes & Openshift using best DevOps practices. I am working as Lead DevOps Engineer at Tarabut Gateway where I have setup the infrastructure from scratch to leverage Open Banking in the MENA region. I am also a DevOps Instructor and have successfully trained more than 300 professionals worldwide on DevOps especially Kubernetes. Previously, I led a team Stakater which provides tools and services to help customers create and manage their Kubernetes based infrastructure. I am an avid open source contributor with contributions in developing and leading some opensource Kubernetes Controllers/Operators & helm charts.