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Monitoring Distributed Systems

Dotcom-Montior

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74
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Best Practices for a Seamless MongoDB Upgrade

Percona

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Powerful change streams and support for data definition language operations. You should also review your hardware resources, how you use MongoDB, and any custom configurations. In MongoDB 6.x:

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Growth Engineering at Netflix?—?Automated Imagery Generation

The Netflix TechBlog

Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. Let’s put it all together and review the system interaction diagram.

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Software-defined far memory in warehouse scale computers

The Morning Paper

” This paper describes a “far memory” system that has been in production deployment at Google since 2016. This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions.

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SRE Incident Management: Overview, Techniques, and Tools

Dotcom-Montior

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

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Kubernetes for Big Data Workloads

Abhishek Tiwari

A good example will be something like Pachyderm [8] [9] - a relatively young project which implements a distributed Pachyderm File System (PFS) and a data-aware scheduler Pachyderm Pipeline System (PPS) on top of Kubernetes. Lastly, I also think there is definitely a place for new Kubernetes native big data frameworks.

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The Performance Inequality Gap, 2021

Alex Russell

Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.