database

Building Data Pipelines with Open Source Cloud Services

Building Data Pipelines with Open Source Cloud Services

February 12, 2020

Following the first wave of cloud adoption, moving from private data centers and on-premises hosting to cloud infrastructure platforms such as AWS and GCP, we're now seeing a second wave of adoption w …
Evolution of the Runtastic backend

Evolution of the Runtastic backend

February 12, 2020

Simon Lasselsberger shares diagrams that illustrate the evolution of the architecture of the eight-year-old Runtastic microservice backend.
Protect Your Kubernetes Data, Friends Dont Let Friends Leave their Kubernetes Data Unprotected

Protect Your Kubernetes Data, Friends Dont Let Friends Leave their Kubernetes Data Unprotected

February 12, 2020

In recent headlines, there are increasing news about cloud resources getting hacked caused by attacks on Kubernetes clusters with unsecured etcd servers ending in massive amounts of password and keys …
Friction to freedom: Fueling Agile development through secure data automation

Friction to freedom: Fueling Agile development through secure data automation

February 11, 2020

Data friction was a major roadblock for Choice Hotels, preventing the company from achieving its strategic vision for growth and innovation. Propagating the right data to the right teams was a costly and inefficient process that took weeks of manual effortespecially during peak seasons. Nick Suwyn explains why and how Choice Hotels adopted a DevOps and DataOps approach to solve this issue.
New data architectures for high performance netflow analytics

New data architectures for high performance netflow analytics

February 10, 2020

Operational analytic databases are a new class of data systems that are emerging to store and analyze various types of operational data, including netflows. Popula …
Stories from the DBA trenches

Stories from the DBA trenches

February 10, 2020

Your company may not have a DBA explicitly in the org chart, but that just means everyone on the team takes over the role at some point. Silvia Botros explains why thats ok (all the DBAs she knows were accidental too) and shares tips and tricks for keeping your MySQL databases running smoothly and protecting your companys most important asset.
Consuming Cloud Services with the Kubernetes Service Catalog

Consuming Cloud Services with the Kubernetes Service Catalog

February 9, 2020

In a cloud native world, managed services such as database, storage, and event processing systems can be utilized without the overhead of total service ownership. Kubernetes provides an extension mech …
The Single Source of Truth for Network Automation

The Single Source of Truth for Network Automation

February 8, 2020

How a single source of truth, expressed as an elegant data model, can operate an Internet business' process and network automation. Many automation presentations t …
How Container Runtime Matters in Kubernetes?

How Container Runtime Matters in Kubernetes?

February 7, 2020

Container Orchestrator Kubernetes utilizes Container Runtime to provide low-level pod/container management and operations at the node level. The capabilities & performance of these Container runtimes …
Introducing serverless to your organization

Introducing serverless to your organization

February 7, 2020

Serverless computing offers the benefits of accelerated delivery and reduced operations costs. However it also brings tooling and architectural challenges. What are safe yet effective methods to introduce serverless to your organization? Mike Roberts discusses several options, drawn from his experience with teams that have faced this precise question.
Spice Up Your Workloads With Kata Containers

Spice Up Your Workloads With Kata Containers

February 4, 2020

During the last year, the Kata community has been busy working on their first release yet there are still some questions about the best use cases for Kata Containers. How do they work with orchestrat …
Consuming cloud services with the Kubernetes Service Catalog

Consuming cloud services with the Kubernetes Service Catalog

February 1, 2020

Neil Peterson leads a technical deep dive into using the Kubernetes Service Catalog to dynamically provision and consume managed cloud services.
How do we solve the world's spreadsheet problem?

How do we solve the world's spreadsheet problem?

January 31, 2020

In the past five years, Alexander Rasmussen has spent a lot of time trying to get high-integrity data out of spreadsheets and into databases. Alexander explores common data integrity problems when dealing with spreadsheet data, investigates whether those integrity problems are inescapable, and shares ongoing work to mitigate them.
Managing multiple sources of truth in distributed applications

Managing multiple sources of truth in distributed applications

January 30, 2020

When building distributed applications, it's highly desirable to maintain a single source of truth, such as a database, for all application state. Unfortunately, for some applications, multiple sources of truth are unavoidable. Adam Wolfe Gordon shares strategies, learned from real-world experience, for managing multiple sources of truth without sacrificing consistency and usability.
Pat Helland and me: How to build stateful distributed applications that can scale almost infinitely

Pat Helland and me: How to build stateful distributed applications that can scale almost infinitely

January 29, 2020

In 2007, Pat Helland published "Life Beyond Distributed Transactions: An Apostates Opinion," in which he conducts a thought experiment on how to design a distributed database that can scale almost infinitely. While the paper explicitly addresses distributed database design, Sean Allen shows that the ideas are far more widely applicable, particularly in scaling stateful applications.
Smooth scaling: Slacks journey toward a new database

Smooth scaling: Slacks journey toward a new database

January 29, 2020

Slacks rapid growth over the last few years outpaced the original databases scaling capacity, which negatively impacted the company's customers and engineers. Ameet Kotian explains how a small team of engineers embarked on a journey for the right database solution, which eventually led them to Vitess, an open source cluster database.
You've been arrested by the CAP; you have the right to remain consistent.

You've been arrested by the CAP; you have the right to remain consistent.

January 27, 2020

Aviran Mordo discusses the challenges and real-life use cases of handling data in a distributed environment.
Achieving personalization with LSTMs

Achieving personalization with LSTMs

January 26, 2020

Personalization is a common theme in social networks and ecommerce businesses. Personalization at Uber involves an understanding of how each driver and rider is expected to behave on the platform. Ankit Jain explains how Uber employs deep learning using LSTMs and its huge database to understand and predict the behavior of each and every user on the platform.
Cassandra versus cloud databases

Cassandra versus cloud databases

January 25, 2020

Is open source Apache Cassandra still relevant in an era of hosted cloud databases? Jonathan Ellis discusses Cassandras strengths and weaknesses relative to Amazon DynamoDB, Microsoft CosmosDB, and Google Cloud Spanner.
Conda, Docker, and Kubernetes: The cloud-native future of data science (sponsored by Anaconda)

Conda, Docker, and Kubernetes: The cloud-native future of data science (sponsored by Anaconda)

January 25, 2020

The days of deploying Java code to Hadoop and Spark data lakes for data science and ML are numbered. Welcome to the future. Containers and Kubernetes make great language-agnostic distributed computing clusters: it's just as easy to deploy Python as it is Java. Mathew Lodge shows you how.
Conda, Docker, and Kubernetes: The cloud-native future of data science (sponsored by Anaconda)

Conda, Docker, and Kubernetes: The cloud-native future of data science (sponsored by Anaconda)

January 25, 2020

The days of deploying Java code to Hadoop and Spark data lakes for data science and ML are numbered. Welcome to the future. Containers and Kubernetes make great language-agnostic distributed computing clusters: it's just as easy to deploy Python as it is Java. Mathew Lodge shows you how.
To Kill, or to Checkpoint - That is the Question

To Kill, or to Checkpoint - That is the Question

January 25, 2020

Cloud native containerized applications heavily rely on resiliency. When a container dies, it is restarted. When a node is under evacuation, containers it hosts are killed and startedelsewhere. But th …
From flat files to deconstructed database: The evolution and future of the big data ecosystem

From flat files to deconstructed database: The evolution and future of the big data ecosystem

January 22, 2020

Big data infrastructure has evolved from flat files in a distributed filesystem to an efficient ecosystem to a fully deconstructed and open source database with reusable components. Julien Le Dem discusses the key open source components of the big data ecosystem and explains how they relate to each other and how they make the ecosystem more of a database and less of a filesystem.
Leveraging the best of the past to power a better future (sponsored by MemSQL)

Leveraging the best of the past to power a better future (sponsored by MemSQL)

January 20, 2020

Todays successful businesses utilize data better than their competitors; however, data sprawl and inefficient data infrastructure restrict whats possible. Blending the best of the past with the software innovations of today will solve future data challenges. Drew Paroski shares how to develop modern database applications without sacrificing cost savings, data familiarity, and flexibility.
Modernizing operational architecture with big data: Creating and implementing a modern data strategy

Modernizing operational architecture with big data: Creating and implementing a modern data strategy

January 19, 2020

The use of data throughout Cerner had taxed the company's legacy operational data store, data warehouse, and enterprise reporting pipeline to the point where it would no longer scale to meet needs. Jennifer Lim explains how Cerner modernized its corporate data platform with the use of a hybrid cloud architecture.
Running multidisciplinary big data workloads in the cloud

Running multidisciplinary big data workloads in the cloud

January 18, 2020

Attend this tutorial to learn how to successfully run a data analytics pipeline in the cloud and integrate data engineering and data analytic workflows and explore considerations and best practices for data analytics pipelines in the cloud. Along the way, you'll see how to share metadata across workloads in a big data PaaS.
Verizon Connect How Open Networking Enabled Our Next-Generation Infrastructure

Verizon Connect How Open Networking Enabled Our Next-Generation Infrastructure

January 17, 2020

In early 2016, Verizon Telematics (now Verizon Connect) launched an initiative to modernize their application stack leveraging the latest microservice, messaging, and database frameworks, and needed a …
Achieving personalization with LSTMs

Achieving personalization with LSTMs

January 15, 2020

Personalization is a common theme in social networks and ecommerce businesses. Personalization at Uber involves an understanding of how each driver and rider is expected to behave on the platform. Ankit Jain explains how Uber employs deep learning using LSTMs and its huge database to understand and predict the behavior of each and every user on the platform.