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Site reliability engineering: 5 things you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Dynatrace can help.

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Site reliability engineering: 5 things to you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Dynatrace can help.

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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Jack Dongarra talked about the scores, and pointed out the low efficiency on some important workloads.

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Rethinking the 'production' of data

All Things Distributed

That was the provocative thesis of a much-talked-about article from 2003 in the Harvard Business Review by the US publicist Nicolas Carr. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver.

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Why Waits Alone Are Not Enough

SQL Performance

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Since CPU and IO consumption translate directly to server hardware and cloud spend, this is significant. Most Queries Don't Wait.

Tuning 115
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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

After all, we’ve been doing that forever with the 2nd-level cache of ORMs , and it is highly encouraged in e.g. the AWS Lambda programming model — which was born on the cloud— to help mitigate function start-up times. Yes, a bit like those 2nd-level caches we were talking about earlier, e.g. Ehcache from 2003 onwards. Who knew! ;).

Cache 79
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Continuous Integration / Continuous Delivery on AWS

The Symphonia

Back in the Dim And Distant Past of 2003 I even co-led an open source project that brought some at-the-time interesting innovations to this area. CodePipeline can also be more efficient than CodeBuild by itself since it can overlap concurrent executions. for cross region build, test or deployment), etc.

AWS 40