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Development

Featured in Development

How to Compute Without Looking: A Sneak Peek into Secure Multi-Party Computation

This article shows how you can compute a function across multiple parties that do not trust each other without forcing them to share their individual inputs. This technique can be used to split secrets among parties, perform logical operations, or count votes in a way that ensures data privacy is preserved.

All in development

Architecture & Design

Featured in Architecture & Design

OpenSearch Cluster Topologies for Cost Saving Autoscaling

Amitai Stern discusses cost-saving autoscaling topologies for OpenSearch. He explains the inherent challenges in autoscaling unstructured data systems like OpenSearch and Elasticsearch, using analogies to illustrate the complexities beyond simply adding nodes. He shares architectural patterns (burst indexes, burst clusters) to optimize resource utilization and handle fluctuating loads effectively.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Beyond Chatbots: Architecting Domain-Specific Generative AI for Operational Decision-Making

This article explores the use of domain-specific Generative AI, models that understand operational constraints, real-world dynamics, and business rules to generate executable strategies, not just text descriptions. These models require significantly smaller datasets and fewer parameters, making them cost-effective while enabling AI-driven core business decision intelligence at scale.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Bringing a Product Mindset to an Infrastructure Platform Team

Stéphane Di Cesare discusses DKB's experience introducing a product mindset within their platform team, explaining their definition of a platform team, the rationale behind the shift, and their journey including challenges, goals, and key learnings around user value, platform definition, maturity models, and effective communication strategies for senior software developers and engineering leaders.

All in culture-methods

DevOps

Featured in DevOps

Checklist for Kubernetes in Production: Best Practices for SREs

This article provides SREs with a checklist for managing Kubernetes in production environments. It identifies common challenges including resource management, workload placement, high availability, health probes, storage, monitoring, and cost optimization. By implementing consistent GitOps automation across these areas, teams can significantly reduce complexity, and prevent downtime.

All in devops

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Presentations

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Culture & Methods

Acceptance Testing for Continuous Delivery

Dave Farley describes approaches to acceptance testing that allow teams to work quickly and effectively, build functional coverage tests and maintain those tests throughout change.

Dave Farley
on Aug 28, 2019

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01:30:44
DevOps

Multi-Tenancy in Kubernetes

Katharina Probst discusses both the mechanics and the implications of cluster sharing on cost, isolation, and operational efficiency, including use cases, even challenging ones.

Katharina Probst
on Aug 22, 2019

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39:57
Architecture & Design

The State of Serverless Computing

Chenggang Wu discusses both the benefits and shortcomings of existing serverless offerings and highlights challenges that must be overcome to realize truly general-purpose serverless computing.

Chenggang Wu
on Aug 19, 2019

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38:24
Architecture & Design

Serverless Java

Ivar Grimstad presents a gentle introduction to serverless and FaaS, what it means for developers, and why it is important to understand this paradigm.

Ivar Grimstad
on Aug 14, 2019

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36:12
Architecture & Design

Building Resilient Serverless Systems

John Chapin explains how to use serverless technologies and an infrastructure-as-code approach to architect, build, and operate large-scale systems that are resilient to vendor failures.

John Chapin
on Aug 03, 2019

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44:39
AI, ML & Data Engineering

Cloud-Native Data Pipelines with Apache Kafka

Gwen Shapira discusses how data engineering requirements changed in a cloud-native world, and how the solutions change with them.

Gwen Shapira
on Aug 03, 2019

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44:46
AI, ML & Data Engineering

Putting the Spark in Functional Fashion Tech Analytics

Gareth Rogers shows how his team used Clojure to provide a solid platform to connect and manage an AWS hosted analytics pipeline and the pitfalls they encountered on the way.

Gareth Rogers
on Jul 30, 2019

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35:50
Cloud

Programming the Cloud with TypeScript

Luke Hoban reviews the unique benefits of applying programming languages in general, and TypeScript in particular, to the cloud infrastructure domain.

Luke Hoban
on Jul 24, 2019

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56:40
AI, ML & Data Engineering

Powering Data Science with AWS Athena & QuickSight

Matthew Bill and Danielle Ashley demo how to use Athena and QuickSight to visualise data into a rich set of dashboards.

Matthew Bill Danielle Ashley
on Jul 14, 2019

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40:25
DevOps

A Continuation of Devops: Policy as Code

Gareth Rushgrove looks at examples of tools that move security controls into code and explores how policy as code can work at the team level.

Gareth Rushgrove
on Jul 13, 2019

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49:45
Cloud

A Guided Journey of Cloud-Native Featuring Monzo

Cheryl Hung and Matt Heath present the Cloud Native Computing Foundation, what it is and what it does, and how Monzo is using cloud-native.

Matt Heath Cheryl Hung
on Jul 12, 2019

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50:24
AI, ML & Data Engineering

DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)

Jeremy Edberg shares his work with DeepRacer and DeepLens, talking about some of the basics of ML used in these projects and showing a DeepRacer in action.

Jeremy Edberg
on Jul 10, 2019

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38:08

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