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10 tips for migrating from monolith to microservices

Dynatrace

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

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Why Browsers Get Built

Alex Russell

This strategy is exemplified by 1990s-era Andreesen's goal to render Windows "a poorly debugged set of device drivers" The idea is that the web is where the action is, and that the browser winning more user Jobs To Be Done follows from increasing the web platform's capability.

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DBaaS vs Self-Managed Cloud Databases

Scalegrid

This type of database offers scalability with no downtime along with giving businesses control over what resources they use through customization capabilities such as choosing hardware infrastructure options or building security measures around it. These advantages come at an expense.

Database 130
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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. It depends upon your application workload and its business logic.

Metrics 130
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52
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Beyond data and model parallelism for deep neural networks

The Morning Paper

To me that means the “simple” object access protocol, but not here: We introduce SOAP, a more comprehensive search space of parallelization strategies for DNNs that includes strategies to parallelize a DNN in the Sample, Operator, Attribute, and Parameter dimensions. compared to state-of-the-art approaches.

Network 81