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Service level objectives: 5 SLOs to get started

Dynatrace

Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. SLOs are a valuable tool for organizations to ensure the health and performance of their applications. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Latency 174
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Teams can build on these SLO examples to improve application performance and reliability. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Traffic 173
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Carving an AWS certification path

Dynatrace

Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. It also ensures your team shares common fluency in cloud best practices, which improves collaboration and helps your company achieve a higher standard of performance.

AWS 205
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Using SLOs to become the optimization athlete with Dynatrace

Dynatrace

This post was co-authored by Jean-Louis Lormeau, Digital Performance Architect at Dynatrace. . You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis.

Metrics 164
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Teaching rigorous distributed systems with efficient model checking

The Morning Paper

Teaching rigorous distributed systems with efficient model checking Michael et al., During the ten week course, students implement four different assignments: an exactly-once RPC protocol; a primary-backup system; Paxos; and a scalable, transactional key-value storage system. Consider the lab exercise to implement Paxos.

Systems 43
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Why the Optimizer Doesn't Use Buffer Pool Knowledge

SQL Performance

Whether the page is dirty or not (a dirty page has changes on it that haven’t yet been written back to durable storage). Let’s pretend there *is* a highly efficient mechanism to determine buffer pool contents the optimizer can use to help it choose which index to use in a query plan.

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Fun with (columnstore) compression on a very large table – part 1

SQL Performance

Of course we can always throw more disk at a table, but I wanted to see if we could scale this more efficiently than the current linear trend. Note that I am not focusing on reporting workload or other read query performance at this time – I merely want to see what impact I can have on storage (and memory) footprint of this data.