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Synthetic Monitoring vs. RUM

Rigor

Synthetic monitoring vendors provide a remote (often global) infrastructure that visits a website periodically and records the performance data for each run. Benchmark Against Competitors. Then, they can effectively benchmark their own performance against those key competitors over time. Synthetic Monitoring.

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Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. ASPLOS’19. Distributed tracing and instrumentation.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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AppFabric Caching: Retry Later

ScaleOut Software

Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

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Progress Delayed Is Progress Denied

Alex Russell

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. All modern browsers are fast, Chromium and Safari/WebKit included. position: sticky.

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The Ultimate Guide to Database High Availability

Percona

As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures.

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Azure Virtual Machines for SQL Server Usage

SQL Performance

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. GHz, 128MB of L3 cache, 128 PCIe 4.0 Another choice that is well-suited for both OLTP and DW workloads is the Esv4-series.

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