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(初学者向け)仮想化ツール紹介
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祥平 近藤
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初学者向けに仮想化ツールを紹介します。 「名前は聞いたことあるけど」という人が、仮想化について「何を調べれば良いのか」が分かるようにします。
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WSO2CON 2024 - Open Source to SaaS
WSO2CON 2024 Slides - Open Source to SaaS
WSO2CON 2024 Slides - Open Source to SaaS
WSO2
Modeling languages are generally applied for developing systems and software – both internally, with domain-specific languages, and with standardized languages targeting a general purpose and a wide audience. Way too often these languages are weakly created and defined leading to poor quality: Language definitions tend to contain errors and inconsistencies; notations do not recognize the communication and problem-solving needs of humans; standardization organizations push exchange formats that do not fully work and offer certificates that do not measure mastery of the language. We describe common problems in language development and point them out with examples from known cases. To overcome these problems, we suggest several solutions to improve language development, including using modeling languages specifically designed to define modeling languages, continuous testing and prototyping, and keeping language users in the loop.
What Goes Wrong with Language Definitions and How to Improve the Situation
What Goes Wrong with Language Definitions and How to Improve the Situation
Juha-Pekka Tolvanen
This presentation covers the following topics: What is logging? The purpose of logging: Debugging The purpose of logging: Security The purpose of logging: Stats & analytics Traditional logging Traditional logging: Advantages Traditional logging: Disadvantages The solution: Large-scale logging Large-scale logging: Core principles Large-scale logging: Solution types Large-scale logging: Cloud vs on-prem Large-scale logging: Operational complexity Large-scale logging: Security Large-scale logging: Costs Large-scale logging: On-prem comparison - Elasticsearch - Grafana Loki - VictoriaLogs On-prem comparison: Setup and operation On-prem comparison: Costs On-prem comparison: Full-text search support On-prem comparison: How to efficiently query 100TB of logs? On-prem comparison: Integration with CLI tools VictoriaLogs for large-scale logging VictoriaLogs demo instance - Ingestion rate: 3600 messages / minute - The number of log messages: 1.1 billion - Uncompressed log messages’ size: 1.5TB - Compressed log messages’ size: 23GB - Compression ratio: 47x - Memory usage: 150MB VictoriaLogs CLI integration demo - Which errors have occurred in all the apps during the last hour? - How many errors have occurred during the last hour? - Which apps generated the most of errors during the last hour? - The number of per-minute errors for the last 10 minutes - Status codes for the last hour - Non-200 status codes for the last week - Top client IPs for the last 4 weeks with 404 and 500 response status codes - Per-month stats for the given IP across all the logs Large-scale logging solution MUST provide excellent CLI integration VictoriaLogs: (temporary) drawbacks VictoriaLogs: Recap - Easy to setup and operate - The lowest RAM usage and disk space usage (up to 30x less than Elasticsearch and Grafana Loki) - Fast full-text search - Excellent integration with traditional command-line tools for log analysis - Accepts logs from popular log shippers (Filebeat, Fluentbit, Logstash, Vector, Promtail, Grafana Agent) - Open source and free to use!
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
VictoriaMetrics
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WSO2Con204 - Hard Rock Presentation - Keynote
WSO2Con204 - Hard Rock Presentation - Keynote
WSO2Con204 - Hard Rock Presentation - Keynote
WSO2
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The subject of this deck is the small Print[A] program in the following blog post by Noel Welsh: https://www.inner-product.com/posts/direct-style-effects/. Keywords: "direct-style", "context function", "context functions", "algebraic effect", "algebraic effects", "scala", "effect system", "effect systems", "effect", "side effect", "composition", "fp", "functional programming"
Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Philip Schwarz
This book is written based on the author's over 10 years of experience in Digital Marketing and IT. It aims to provide readers with insights into the benefits of marketing technology (MarTech), its categories, how to choose the right tools, and a summary of interesting trends in each year
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
Jittipong Loespradit
ADR, or Architecture Decision Record, is a valuable tool in software development for several reasons. It provides a centralized location for documenting and tracking architectural decisions, aiding both current and future team members. ADRs enhance communication among team members by documenting the rationale behind architectural decisions, especially beneficial during onboarding of new team members or when revisiting decisions. They serve as a knowledge base, enabling teams to learn from past decisions and refine their decision-making process. Additionally, ADRs contribute to transparency by helping stakeholders understand the reasons behind specific architectural choices. As with any other tool or process, introducing them into an organization can face several obstacles, and overcoming these challenges is crucial for successful implementation. In this talk I go through some common problems and our way of solving them.
Architecture decision records - How not to get lost in the past
Architecture decision records - How not to get lost in the past
Papp Krisztián
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WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2CON 2024 - Navigating API Complexity: REST, GraphQL, gRPC, Websocket, Web...
WSO2CON 2024 - Navigating API Complexity: REST, GraphQL, gRPC, Websocket, Web...
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WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...
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WSO2CON 2024 Slides - Open Source to SaaS
WSO2CON 2024 Slides - Open Source to SaaS
What Goes Wrong with Language Definitions and How to Improve the Situation
What Goes Wrong with Language Definitions and How to Improve the Situation
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
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WSO2Con204 - Hard Rock Presentation - Keynote
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Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
Architecture decision records - How not to get lost in the past
Architecture decision records - How not to get lost in the past
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