Redis

database, caching, in memory
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Back in the day, when relational databases were choking on their own complexity and caching felt like an afterthought, along came Redis. It promised to be more than just a cache – a blazing-fast data structure server capable of handling anything from session management to pub/sub messaging. Quite clever, really, though one does wonder if the initial hype overstated its ability to replace everything.

In practice, Redis is fantastic at what it’s designed for: incredibly speedy access to key-value data. But scale it improperly, and you’ll quickly discover the limitations of an in-memory database. Memcached offers similar caching prowess, but Redis boasts richer data types and persistence options. Today, it’s a staple in modern stacks, powering everything from Netflix recommendations to real-time analytics—a testament to its speed, if not necessarily its all-conquering potential.

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data scientist

AI / ML Platform Engineer @ whatnot-inc

US | 2025-12-28 | USD 225000 - 320000 / year
Whatnot’s AI/ML Platform Engineer role promises building the infra that powers live-shopping AI—from low-latency large-model serving to distributed training on GPUs—while cohabiting with ML... read more »
AI/ML, LLM, Computer Science, Python, PostgreSQL, DynamoDB, ELK, Redis, Datadog, Grafana, Cloud Computing, AWS, Amazon SageMaker, AWS Lambda, Kinesis, S3, Amazon EC2, Kafka, Flink
data scientist

Senior Azure Cloud Customer Experience Engineer @ microsoft

AU | 2025-12-26
Microsoft seeks a customer-obsessed advanced cloud engineer to resolve complex Azure issues, support key projects, and serve as the voice of the customer. The role's differentiator is its emphasis... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

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data scientist

Azure Advanced Cloud Engineer 2 - Japanese Speaking @ microsoft

AU | 2025-12-24
The role involves supporting Azure customers by troubleshooting complex technical issues, acting as the voice of the customer, and coordinating with product teams. A key differentiator is the... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
data scientist

Senior Azure Cloud Customer Experience Engineer @ microsoft

AU | 2025-12-24
This role involves providing technical support to Azure customers by troubleshooting issues, analyzing incident trends, and acting as a bridge between customer feedback and product teams. A unique... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
data scientist

Senior Backend Developer @ arpeely

IL | 2025-12-24
A Senior Backend Developer role at Arpeely involves designing and deploying scalable, AI-driven backend systems for a consumer-facing product that aims to simplify online browsing with unique... read more »
AI/ML, Analytics, Python, Redis, BigQuery, MySQL, SQL, LLM, Computer Science