Category | ISPW | UrbanCode | GAP |
---|---|---|---|
Mainframe Environment Integration | - Native integration with z/OS and mainframe tools. - Strong support for COBOL, PL/I, CICS, DB2. - Tailored workflows for mainframe. | - Integrates with mainframe systems via plugins. - Requires additional setup for mainframe-specific tasks. | ISPW offers deeper and more seamless integration with mainfr |
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1. JobNimbus | |
• Pros: Highly customizable, robust features for project management, and integration with tools like SumoQuote. Great for team communication and pipeline tracking. | |
• Cons: Steep learning curve, occasional issues with integrations and automations, and challenges with larger jobs. | |
• Best For: Larger teams needing extensive customization and integrations. | |
• Rating: Generally well-reviewed as a solid all-around CRM. | |
2. iRoofing | |
• Pros: Excellent for roof measurements, quoting, and visualization tools. Allows contractors to measure roofs directly from an iPad. | |
• Cons: Limited CRM features (more focused on quoting), not cloud-based (data is stored locally), and lacks robust communication or pipeline management tools. | |
• Best For: Contractors focused on estimating and quoting rather than full CRM functionality. | |
• Rating: Mixed reviews due to its limited scope but praised for its measurement tools. |
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#!/usr/bin/env python3 | |
import json | |
import requests | |
from bs4 import BeautifulSoup | |
quotes = [] | |
for i in range(1, 101): | |
url = f'https://www.goodreads.com/quotes?page={i}' | |
headers = { | |
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36' |
Feature | CA Endevor | IBM DBB | Gap Analysis |
---|---|---|---|
Version Control | Integrated, proprietary version control | External version control (e.g., Git) | Migration to an external VCS may be required. |
Branching and Merging | Limited branching capabilities | Full branching and merging via Git | Improved with Git, may need developer training. |
Code History | Proprietary history tracking | Git provides detailed commit history | Migration of historical data may be complex. |
Deployment protection rules are used to enforce checks and policies specifically around the deployment of code to environments. You would use a deployment protection rule when you want to ensure that certain conditions are met before code can be deployed. This can include:
- Security Checks: Ensuring that security scans or vulnerability assessments have been completed and passed.
- Approval Processes: Requiring manual approvals from designated reviewers or teams before deployment.
- Integration with External Systems: Verifying that external systems or services have approved the deployment.

[toc]
Traffic situations can change fast, especially around intersections and in curves. The Basic Street Strategies in this section will help you:
- Properly position your motorcycle well on the road
- See and be seen
- Use RiderRadar to avoid traps, and focus your mental processing to make good, quick judgments while riding
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$ TEST_1=one | |
$ TEST_2=two | |
$ PATTERN2_1=one | |
$ PATTERN2_2=two | |
$ docker run -d --name test $(for var in $(set | grep -E '^TEST_|^PATTERN2_'); do printf -- '-e "%s" ' $var; done) nginx | |
541a23d4e432b375f71b081593d533de0aeb0b918f74d911bee7c36c95bcc4e3 | |
$ docker ps | |
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES |
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#!/usr/bin/env bash | |
set -e | |
trap "{ rm -f $tmpfile; }" EXIT | |
tmpfile="$(mktemp)" | |
main() { | |
curl -Lo "$tmpfile" 'https://discord.com/api/download?platform=linux' | |
sudo dpkg -i "$tmpfile" |
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