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Then in 2008, Google issued a code yellow for application speed, and I was the code yellow lead for Google Docs. A critical part of the code yellow was ensuring Google's sites would be fast for users across the globe, even if they had slow networks and low end devices. How do we slice and dice them to find problem areas?
The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts.
A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. There is a downside to fetching this data on-demand: this adds latency to the first request to a cluster.
However, unlike the early days of the web, static sites are no longer limited to developers working in a code editor. Piecing together a website using a WYSIWYG editor and seeing the code it generated was a fascinating and educational experience that sparked an initial interest in web design. Editing a blog post in MovableType 2.0
The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).
SSRS 2008 brought that component into the reporting service module. Disk latency for ReportServer and ReportServerTempDB are very important. To tune for a slow report, that usually means you need to create indexes for that specific report or tune the code within the report. Reporting Services Infrastructure.
The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).
Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). Unfortunately, that’s not where it ends.
Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). Unfortunately, that’s not where it ends.
Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). Unfortunately, that’s not where it ends.
It uses a Solaris Porting Layer (SPL) to provide a Solaris-kernel interface on Linux, so that unmodified ZFS code can execute. There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). Tracing ZFS operation latency.
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