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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems. Visibility and automation are two of the most important SRE tools.

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Lessons learned from enterprise service-level objective management

Dynatrace

In their new dashboard, they added dimensions for load, latency, and open problems for each component. To ensure their global service levels, they fully embraced the best practices outlined in Google’s SRE handbook , called the “Four Golden Signals,” to standardize what they show on their SRE dashboards. Saturation.

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How Google PageSpeed Works: Improve Your Score and Search Engine Ranking

CSS - Tricks

Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. Last year, Google made two significant changes to their search indexing and ranking algorithms : In March, indexing became based on the mobile version of a page , rather than desktop. What is Google Lighthouse?

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Google recommends that TTFB be 800ms at the 75th percentile. The use of server-timing headers by content delivery networks closes a big gap. Latency – How much time does it take to deliver a packet from A to B. For more years than I care to mention, I've been advising folks that their TTFB should be under 500ms.

Servers 57
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SRE Principles: The 7 Fundamental Rules

Dotcom-Montior

Google was the first company to create, embrace, and put support behind the role of site reliability engineering. Since that time, the SRE role has evolved as the industry has changed and shifted from the traditional monolithic structures to large, widely distributed networks and microservices.

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Artificial Intelligence in Cloud Computing

Scalegrid

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

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Notes on: 'Performance Culture' at Google I/O 2014

Tim Kadlec

At Google I/O 2014 , Lara Swanson and Paul Lewis discussed performance culture. Mobile networks add a tremendous amount of latency. The new devices and fast networks we use are not necessarily what our users are using. We are not our end users. 40% of people abandon a site that takes longer than 2-3 seconds to load.

Google 49