4 container design patterns for Kubernetes by @danielepolencic at #ITNEXT. #cloud #networking #cloudnative #devops #kubernetes itnext.io/4-container-de…
itnext.io
4 container design patterns for Kubernetes
Running new apps in Kubernetes is straightforward. But what happens when you have legacy apps that: Log to file instead of stdout? Has no support for Prometheus? Has no support for HTTPS? First …
Kick off a month of learning! Strengthen your #GoogleWorkspace knowledge and skills with 30-day trial access to hands-on training. Complete a role-based learning path to earn your skill badge! Start learning today → goo.gle/3w4XLke
Thinking of migrating from on-premises Enterprise Data Warehouses to #BigQuery? Here are a few things to consider: 1️⃣ Financial benefits of #opensource 2️⃣ Efficiencies of a Unified platform 3️⃣ Serverless Take these steps for a successful migration → goo.gle/3OvBxAb
Starting in 3 days: Developing cloud native applications on Azure (Microsoft) 📍 Online meetup 📅 27 Apr ⏰ 1:00 pm GMT → kube.events/t/154af546-b4c…
Splunk and Google Cloud customers: the first hands-on lab of Splunk on Google Cloud is now live. Learn how to get streaming data from your Google Cloud environment into Splunk Cloud so your organization can leverage Splunk’s Data-to-Everything platform → goo.gle/3vv1iI0
Sunday study sesh: Walk through the process of ingesting files into #BigQuery using serverless service such as Cloud Functions, Pub/Sub, and Serverless Spark. Here’s how to get started ➡️ goo.gle/3OdR7Ai Here’s a look at the architecture we’ll be using ⬇️
Yes, there are lots of services in each public cloud. But you're not expected to use them all! I sure don't. Focus your attention on what your app architecture needs, and read/watch this content from @pvergadia to make your journey easier: cloud.google.com/blog/topics/de…
Which cloud provider should be used when building a big data solution? The diagram below illustrates the detailed comparison of AWS, Google Cloud, and Microsoft Azure. The common parts of the solutions: 1. Data ingestion of structured or unstructured data. 2. Raw data storage.
What are the differences between Virtualization (VMware) and Containerization (Docker)? The diagram below illustrates the layered architecture of virtualization and containerization.
Are you an open source enthusiast? Looking for project inspiration? Curious about the latest in the space? #DataAISummit offers tons of technical sessions on popular open source technologies: @PyTorch @DeltaLakeOSS @ApacheSpark @MLflow to name a few ⬇️ bit.ly/37g7Mm4
Mark your calendars: Join us LIVE for #Azure Cosmos DB Conf, a free online virtual developer event happening April 19 - 20, 2022. Register free at msft.it/6016wLSju
Data lakes, data warehouses : la tentative de Google Cloud pour les unifier bit.ly/3E17sni & bit.ly/3KvEtKv @LeMagIT #BigLake #BigQuery
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