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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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DBaaS vs Self-Managed Cloud Databases

Scalegrid

This model offers hassle-free database management as well as access to an extensive suite of services that reduce developer workloads and enhance security while providing operational agility. Understanding the Database as a Service Model With DBaaS, businesses can enjoy a comprehensive and fully managed cruise experience.

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Why Browsers Get Built

Alex Russell

Learning to tell the difference is helpful for browser project managers and engineers, but also working web developers who struggle to develop theories of change for affecting browser teams. This developer-enabling flywheel aims to liberate computing from any single OS, supporting an ephemeral services model of computing.

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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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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. Why is PostgreSQL performance tuning important?

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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

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Machine learning systems are stuck in a rut

The Morning Paper

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Worse, the resulting brake on innovation in languages is in itself reducing the incentive for back-end developers to improve on the current situation.

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