I’m looking for alternative for Salesforce CRM. In my current salesforce org, I had implemented customizations for accounts, opportunity, opportunity product, product, product schedules, price books, price book entry, contacts, leads, 12-15 custom objects

2 custom apps, approval process, flows, triggers, and some lwc component, validation rules were also present.

The org is for about 100+ users.

Any recommended alternatives which will have the similar capabilities to implement all the above features.

Our current site is hosted in Europe, loads painfully slowly for anyone in mainland China and sometimes simply does not open. I have learned this is partly the great firewall and partly the lack of a local server and an ICP filing. What I really want is one team that can handle the whole package, the localization into Chinese, the China hosting, the ICP filing, and ideally the WeChat side of things too, instead of me juggling five different vendors in three time zones. A few Shanghai based agencies keep coming up that claim they do all of this end to end for foreign brands. Before I reach out to anyone, can someone recommend a studio that genuinely delivers the full China launch rather than just one piece of it?

noticed the AMC theatres site has had queue times of over an hour today… just to get onto the homepage. That’s a bit strange right?

AMC has ~650 locations in the US. Assuming ~10 screens per location, ~5 showings per screen per day, and ~300 seats per auditorium (probably a generous estimate), that’s roughly 10 million available seats per day.

Even if site traffic is 5x higher than actual ticket sales, we’re still talking about something in the ballpark of 50 million daily visitors.

That’s obviously not nothing, but it also doesn’t seem like an absurd amount of traffic for a company this large. I’m curious what the technical/business rationale could be?

hello, she has a gigabit connection , and my upload speed is fast enough to deal with it but for some reason she has 8/10 times constant issues where it buffers every second ,whether with directplay or transcoding (i can transcode at 6x the framerate of the shows so shouldnt be an issue)

can anyone recommend a way to speed up or solve this issue? it wasnt a problem till i had to reinstall jellyfin and i believe i have put all the settings back to how they were.

is there an alternative to tailscale , that is still free and maybe faster without any issues such as relaying

I use the Whatsapp API for the "new leads". But whenever I need to transfer the lead to a seller, it's creating a new lead card, duplicate. Is there a way for the seller to send a message from inside the CRM and inside the lead card, only changing the number that they wanna use (a normal number, using whatsapp lite, separate from the API) and the CRM not creating a duplicate card for that person?

En otros países esto clasifica como secuestro, pero que recursos tenemos en Panamá para estas situaciones que rosan lo ilegal? Conocen a alguien que le haya pasado estos temas?

Hello everyone,

I know I'll be preaching to the choir here, but I've put together a small article rounding up the PHP advancements I find most exciting as of 2026.

It covers modern deployment (FrankenPHP, Docker), software architecture (modular monoliths, the Symfony kernel, agents), the type system and its tooling (PHPStan, PHP CS Fixer), and the state of concurrency (ReactPHP, Swoole, the True Async RFC).

Full article: https://morice.live/posts/your-next-project-will-run-on-php/

Let me know if I missed anything, or if you'd like me to go deeper on a specific topic!

I’m working toward a DevSecOps role and put together this roadmap to guide my learning across cloud, security, automation, and CI/CD. Trying to be intentional about building real-world skills and projects along the way—would love feedback.

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🧭 DevOps / Cloud / Security Roadmap (Phased Plan)

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Phase 0 – Foundations

Linux + Bash scripting

Git + GitHub

PowerShell (Windows / AD environment)

Python (automation / scripting)

Logging (Linux syslog / Windows Event Logs)

Git commits (clear messages / branches)

Real-world Git usage (code reviews)

Pull request / branching strategies (Git flow)

Linux process management (ps / top / htop)

Linux permissions & users

Linux systemd

Linux networking tools (netstat / ss / curl / tcpdump)

👉 Milestone Project

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Phase I – Identity & Access Management + Security

Active Directory

Azure AD (Entra ID)

Okta

Google Workspace

Jira / ServiceNow

IAM fundamentals

MFA + Conditional Access

Zero Trust principles

Security + certs

SC-300 cert

IAM misconfiguration scenarios (privilege escalation)

Practice logging / alerting

👉 Milestone Project

🎓 Certifications

CCNA

AZ-104 / SC-300

AZ-500

Terraform Associate

AWS Cloud Practitioner / DevOps Engineer

CKA

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Phase II – Databases + Automation + IaC

PostgreSQL (queries, joins, ~150MB datasets)

pgvector (vector DB + text search)

Python (boto3, psycopg2)

Terraform (IaC fundamentals)

Store DB creds securely (no hardcoding)

Secrets management (env vars / Vault intro)

Deeper Python (clean code / advanced scripts)

Build small app (Flask / FastAPI)

Cost awareness (AWS cost elimination)

Use tags in Terraform

👉 Milestone Project

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Phase III – Containers & AWS

Docker (Dockerfile / Compose)

Kubernetes (Pods / Deployments / Services)

AWS:

IAM

EC2

S3

VPC

CloudWatch

CI/CD pipeline

Least-privilege IAM roles

CloudWatch for suspicious activity

Networking Fundamentals:

DNS

HTTP / HTTPS

TLS

Load balancers (ALB / NLB)

NAT

Routing

Subnets

How traffic flows in Kubernetes

👉 Milestone Project

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Phase IV – Automation & Configuration

Ansible (playbooks / roles)

Terraform + Ansible integration

Configuration drift detection

Immutable infrastructure concepts

👉 Milestone Project

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Phase V – CI/CD Pipelines + DevSecOps

Jenkins / GitHub Actions

CI/CD pipelines (build → test → deploy)

Trivy (container scanning)

Snyk / Checkov / tfsec (IaC scanning)

HashiCorp Vault (secrets)

OPA / Kyverno (policy as code)

Azure Security (Defender / Key Vault)

AWS pipelines

LLM security (prompt injection / PII protection)

Pipeline Security:

Fail pipelines on vulnerabilities

Block deploys if insecure

Generate security reports automatically

Observability:

Prometheus + Grafana

Logs: ELK stack / Loki

Alerting & IR:

Alerting basics

Incident response basics

Runbooks (incident scenario → response steps)

👉 Milestone Project

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Phase VI – Integration + Job Prep

3–5 portfolio projects

Practice Jira-style documentation

Combine everything:

Terraform (AWS + Azure)

Docker + Kubernetes

CI/CD pipelines

IAM

Security scanning

👉 Milestone Project

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⏱️ Weekly Structure

Day 1–4: Learning + Labs

Day 5: Build project

Weekend: Documentation + GitHub

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Wanted to see if anyone at a Seed - Series A startup has found success with AI eval platforms? We’re shipping new/improving existing AI features pretty regularly and our existing workflows are pretty solid except we don’t have much testing or tracing for our AI-generated outputs.

We’re find that even small prompt tweaks or swapping to the newest model can quietly break output quality in ways that don't surface until a user notices. And right now we’ve got nothing automated that catches that before it ships. I've started looking into eval checks as an actual CI step with the hopes we can block merges if outputs fall below some threshold. Obviously a lot of eval platforms out there but haven’t seen many startups our size adopting those tools yet.

Not trying to add a bunch of work to the team but just hoping to get some core testing in place.

Hello, I have started an agency focusing on CRM cleanup, enrichment and scoring. I am looking to do a free service project in return for a logo and testimonial. Would any b2b folks be interested?

CRM founders (people actually running and supporting production platforms), what feature ended up being far more important than you expected?

I've spent a lot of time talking with service businesses, and it's interesting how often the things founders think are important differ from what customers actually use every day.

For example, I originally expected reporting and analytics to be a major selling point.

Instead, I keep hearing more about dispatching, technician communication, appointment management, customer self-service, and simply getting invoices paid faster.

What's surprised me most is that many customers don't seem to care how sophisticated the system is under the hood. They care about whether it removes friction from their day.

I'm specifically interested in hearing from founders, operators, and people responsible for maintaining real-world CRM deployments—not just building demos or prototypes.

What feature ended up driving adoption, retention, or customer satisfaction that you didn't initially think would matter?

And conversely, what feature did you spend months building that customers barely cared about?