Tue.Oct 04, 2022

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Cpp2 design notes: UFCS, “const”, “unsafe”, and (yes) ABI

Sutter's Mill

Thanks to everyone who has offered bug reports and constructive suggestions for Cpp2 and cppfront. To answer common questions I encounter repeatedly, I’ve started a wiki with “Design notes” about specific aspects of the design to answer why I’ve made them they way they currently are… basic rationale, alternatives considered, in a nutshell.

Design 69
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Recap Monthly Percona Developer Meetup Hacktoberfest

Percona Community

The Monthly Percona Developer Meetup is an opportunity to get a behind-the-scenes view of different projects in Percona and directly interact with the experts to exchange ideas, ask questions, etc. From now on, Monthly Percona Developer Meetups will take place monthly to have open discussions and in-person (online) communication. You can join our Developer Meetup via Restream, the Percona YouTube channel, and LinkedIn events.

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The history of Grail: Why you need a data lakehouse

Dynatrace

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data.

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The Lock Escalation Threshold – Part 2

SQL Performance

Parallelism. In part one of this series , I explained how the lock manager maintains a count of held locks per transaction , and individual access methods keep a separate lock count per HoBt for each plan operator performing data access. Parallelism adds an extra layer of complexity because both lock counts are maintained per thread. There are two underlying reasons for this: Each additional parallel worker thread operates inside a nested sub-transaction with the original transaction as its pare

Testing 56
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How a data lakehouse brings data insights to life

Dynatrace

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems.

Analytics 221
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How unified data and analytics offers a new approach to software intelligence

Dynatrace

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle.

Analytics 191
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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it.

Analytics 235