InfoQ Homepage Infrastructure Content on InfoQ
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Serverless Design Patterns with AWS Lambda: Big Data with Little Effort
Tim Wagner discusses Big Data on serverless, showing working examples and how to set up a CI/CD pipeline, demonstrating AWS Lambda with the Serverless Application Model (SAM).
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Doorman - An Osquery Fleet Manager
Marcin Wielgoszewski talks about how his company uses Doorman and osquery to provide visibility into their infrastructure to enforce security.
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Practical mTLS: Security without the Headaches
Ying Li discusses in detail the implementation challenges of Swarm, how her team at Docker greatly reduced the overhead necessary to manage an infrastructure that makes use of TLS certificates.
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AaaS – Anything as a Service. Anything Left to Do, Then?
Dustin Huptas compares private infrastructure with cloud IaaS. PaaS, serverless, considering pros and cons and discussing cases where either model makes sense.
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Avoiding Alerts Overload from Microservices
Sarah Wells talks about the FT team that currently has over 150 microservices in production. Wells shares how her team regain control of their inboxes and their time, and offers some tips and tricks.
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Selecting Your IoT Connectivity: eUICC & Intelligent Multi-network SIMs
Angel Mercedes discusses the new IoT SIM technologies, how to choose the right SIM, use cases for IoT SMART SIM and eUICC/eSims, criteria for selecting an IoT platform and connectivity provider.
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Scio: Moving Big Data to Google Cloud, a Spotify Story
Neville Li tells the Spotify’s story of migrating their big data infrastructure to Google Cloud, replacing Hive and Scalding with BigQuery and Scio, which helped them iterate faster.
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Scaling Instagram Infrastructure
Lisa Guo overviews Instagram's infrastructure, its history, multi-data center support, tuning uwsgi parameters for scaling, performance monitoring and diagnosis, and Django/Python upgrade.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.
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Data Preparation for Data Science: A Field Guide
Casey Stella presents a utility written with Apache Spark to automate data preparation, discovering missing values, values with skewed distributions and discovering likely errors within data.
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Challenging Perceptions of NHS IT
Edward Hiley, Dan Rathbone talk about how NHS Digital has built a highly secure and resilient system for processing patient data, applying techniques more often used in the cloud to bare metal servers
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AI from an Investment Perspective
The panelists discuss AI from an investment perspective, the challenges, the risks, trends, the role of Deep Learning, successful AI use cases, and more.
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