This document provides an overview of startup best practices including lean startup methodology, user stories, agile development practices, Git version control, metrics and analytics, and customer acquisition and retention strategies. It emphasizes frequent iteration and customer feedback to build the minimum viable product and validate business assumptions quickly.
This document provides an agenda and materials for a workshop on VMware Tanzu for Kubernetes Operations. The agenda includes an introduction to challenges faced by platform teams maintaining Kubernetes platforms, an overview of Tanzu for Kubernetes Operations and how it can help address those challenges, and a hands-on lab session. Tanzu for Kubernetes Operations is a collection of products that provide capabilities for common customer needs around managing containerized platforms at scale, including simplified management of Kubernetes clusters across clouds, centralized visibility and security policies, and developer self-service access.
This document discusses using BigQuery and Dataflow for ETL processes. It explains loading raw data from databases into BigQuery, transforming the data with Dataflow, and writing the results. It also mentions pricing of $5 per terabyte for BigQuery storage and notes that Dataflow provides virtual CPUs and RAM. Finally, it includes a link about performing ETL from relational databases to BigQuery.
The document discusses Docker multi-stage builds, emphasizing their benefits in creating advanced build pipelines with a single Dockerfile that reduces complexity. It covers the issues with traditional Docker builds and how multi-stage builds streamline the process while enabling the use of multiple targets within the same Dockerfile. Examples of multi-stage builds for Node.js and Go applications are provided, highlighting their efficiency in managing dependencies and reducing image sizes.
The document discusses GitLab CI/CD, an overview of the types of pipelines in GitLab including how they are defined and can group jobs. It also mentions manual actions, multi-project pipeline graphs, and security on protected branches. Additional topics covered include review apps and environments, application performance monitoring, next steps such as moving from dev to devops, how everyone can contribute to GitLab, and current job openings.
The document discusses the benefits of using gRPC and microservices at Square, highlighting its preference for modern communication methods over traditional monoliths. It outlines the features of gRPC, including support for various programming languages, efficient payload formats using Protocol Buffers, and performance improvements over JSON/HTTP. The presentation also indicates the use of microservices architecture for better scalability and efficiency in distributed systems.
The document discusses gRPC, an open-source framework for building distributed applications and services. It was motivated by Google's experience with internal RPC systems handling over 1010 RPCs per second. gRPC uses HTTP/2 for transport, allowing it to take advantage of existing network infrastructure while enabling features like bidirectional streaming. It generates client and server code from IDL definitions, supporting multiple languages.
The document contains a link to a YouTube video and a reference to a deep learning book. Additional context appears to be scattered or incomplete. Overall, it suggests themes of online learning resources.
1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases.
2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC.
3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to its simplicity and support in most languages.
This document provides an overview of startup best practices including lean startup methodology, user stories, agile development practices, Git version control, metrics and analytics, and customer acquisition and retention strategies. It emphasizes frequent iteration and customer feedback to build the minimum viable product and validate business assumptions quickly.
This document provides an agenda and materials for a workshop on VMware Tanzu for Kubernetes Operations. The agenda includes an introduction to challenges faced by platform teams maintaining Kubernetes platforms, an overview of Tanzu for Kubernetes Operations and how it can help address those challenges, and a hands-on lab session. Tanzu for Kubernetes Operations is a collection of products that provide capabilities for common customer needs around managing containerized platforms at scale, including simplified management of Kubernetes clusters across clouds, centralized visibility and security policies, and developer self-service access.
This document discusses using BigQuery and Dataflow for ETL processes. It explains loading raw data from databases into BigQuery, transforming the data with Dataflow, and writing the results. It also mentions pricing of $5 per terabyte for BigQuery storage and notes that Dataflow provides virtual CPUs and RAM. Finally, it includes a link about performing ETL from relational databases to BigQuery.
The document discusses Docker multi-stage builds, emphasizing their benefits in creating advanced build pipelines with a single Dockerfile that reduces complexity. It covers the issues with traditional Docker builds and how multi-stage builds streamline the process while enabling the use of multiple targets within the same Dockerfile. Examples of multi-stage builds for Node.js and Go applications are provided, highlighting their efficiency in managing dependencies and reducing image sizes.
The document discusses GitLab CI/CD, an overview of the types of pipelines in GitLab including how they are defined and can group jobs. It also mentions manual actions, multi-project pipeline graphs, and security on protected branches. Additional topics covered include review apps and environments, application performance monitoring, next steps such as moving from dev to devops, how everyone can contribute to GitLab, and current job openings.
The document discusses the benefits of using gRPC and microservices at Square, highlighting its preference for modern communication methods over traditional monoliths. It outlines the features of gRPC, including support for various programming languages, efficient payload formats using Protocol Buffers, and performance improvements over JSON/HTTP. The presentation also indicates the use of microservices architecture for better scalability and efficiency in distributed systems.
The document discusses gRPC, an open-source framework for building distributed applications and services. It was motivated by Google's experience with internal RPC systems handling over 1010 RPCs per second. gRPC uses HTTP/2 for transport, allowing it to take advantage of existing network infrastructure while enabling features like bidirectional streaming. It generates client and server code from IDL definitions, supporting multiple languages.
The document contains a link to a YouTube video and a reference to a deep learning book. Additional context appears to be scattered or incomplete. Overall, it suggests themes of online learning resources.
1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases.
2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC.
3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to its simplicity and support in most languages.
23. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
20:13:21 GMT”? ??????? ??
date:Mon, 21 Oct 2013 20:13:21 GMT C S
14? 10? 21? ???
24. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
20:13:21 GMT”? ??????? ??
C S
..date..z...T.D. .....f...-..
???? Huffman Coding
??: 34 => 29
14? 10? 21? ???
25. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
C 20:13:21 GMT”? ??????? ??
S ..date..z...T.D. .....f...-..
Index Header Name Header Value
1 :authority
... ... ...
33 date
... ... ...
61 www-authenticate
Static Table
Index Header Name Header Value
Dynamic Table
14? 10? 21? ???
26. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
C 20:13:21 GMT”? ??????? ??
S ....z...T.D. .....f...-..
Index Header Name Header Value
1 :authority
... ... ...
33 date
... ... ...
61 www-authenticate
Static Table
Index Header Name Header Value
Dynamic Table
?? ??? Static Table
???? ??: 29 => 24
14? 10? 21? ???
27. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
C 20:13:21 GMT”? ??????? ??
S ....z...T.D. .....f...-..
Index Header Name Header Value
1 :authority
... ... ...
33 date
... ... ...
61 www-authenticate
Static Table
Index Header Name Header Value
62 date
Mon, 21 Oct
2013 20:13:21
GMT
Dynamic Table
14? 10? 21? ???
28. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
C 20:13:21 GMT”? ??????? “?” ??
S
Index Header Name Header Value
1 :authority
... ... ...
33 date
... ... ...
61 www-authenticate
Static Table
Index Header Name Header Value
62 date
Mon, 21 Oct
2013 20:13:21
GMT
Dynamic Table
14? 10? 21? ???
29. HEADER COMPRESSION
??? ?? “date:Mon, 21 Oct 2013
C 20:13:21 GMT”? ??????? “?” ??
S
Index Header Name Header Value
1 :authority
... ... ...
33 date
... ... ...
61 www-authenticate
Static Table
Index Header Name Header Value
62 date
Mon, 21 Oct
2013 20:13:21
GMT
Dynamic Table
.
?? ??? Dynamic Table
???? ??: 24 => 1
14? 10? 21? ???