Skip to main content

Character and Integrity above all

 How do you lead without stress?  I am finding that many leaders are under a lot of pressure,

not healthy and not sleeping well.  A good leader may have ups and downs but their trust

should never be questioned.  Your day to day work will be hard and require a lot but when

you know you are making decisions with high integrity and treating your employees right,

you should sleep well each night.  

Each day is a new day.  You should begin each day with some quiet time, exercise and

make a plan. 

Then, you do your best that day.  Solve problems, help your team, mentor leaders, architect or

remove toil.

  Above all, do everything with character and integrity because when things get hectic or

when you have to move on, you know you led with trust and integrity.  

People will remember the way you lead more than what you did.  If you are weak in an area,

hire someone to fill that need or go learn more.  This is part of leadership and you will

seldom be fired because you didn't know how to do something.  

Even then, the company may want to bring in fresh new ideas and that is ok. 

You led with character and you will leave with respect and your head held high. 

Please know that sometimes, the company will want to blame you for things. 

The Equafax data breach was blamed on a single

developer by the CEO. 

You should continue to lead and leave with character.  Don't let the world lie to you.  Keep your faith in what is right, true, trustworthy and love people. 

Comments

Post a Comment

Popular posts from this blog

Cloud Ops: The New IT for the Cloud Era

Over the past few months of interviewing and researching dozens of companies—particularly small to mid-sized SaaS businesses—one pattern keeps emerging: the desire to stand up a Cloud Operations (Cloud Ops) organization. It makes sense on the surface. Cloud is now the infrastructure of choice, so naturally, someone needs to “own” it. But what’s unfolding in practice often misses the mark. Many companies are attempting to solve growing cloud complexity by taking all their DevOps, SRE, and platform engineering talent and consolidating them into a Cloud Ops team. The idea? Share them across product teams so no one gets overwhelmed. If that sounds familiar, it should. It’s the same centralization tactic used by traditional IT for decades. And it's creating the same problems. When Cloud Ops Becomes Old IT in Disguise Here’s the playbook we’re seeing: Move DevOps, SRE, and Ops into a central Cloud Ops team. Let them handle infrastructure, CI/CD, monitoring, and cloud securit...
Post a Comment
Read more

2020 State of DevSecOps by Accurics

 This is an excellent report for all IT Pros and Engineers.   Highlights: Storage is most impacted solution Open security groups or network configuration Secrets are not so secret Unused resources are not secure. Take a look at these.  Look again.  These are not highly skilled problems.  They just need guidelines and proactive management.  The article uses policy as code as a solution for many of the problems.  I will drill into each of these more in the future.  I wanted to get the awareness out first and then, come back to solutions.  
Post a Comment
Read more

How AI is Transforming DevSecOps: A New Era of Secure, Agile Software Delivery

 As software delivery accelerates and attack surfaces grow, traditional DevSecOps practices are being pushed to their limits. The integration of artificial intelligence (AI) into DevSecOps workflows is not just a trend—it’s a strategic imperative. AI is driving a seismic shift in how we manage code quality, automate security, respond to threats, and enable secure innovation at scale. In this post, we’ll explore the key ways AI is improving DevSecOps and why forward-thinking organizations are embedding it deeply into their pipelines. 1. Proactive Threat Detection and Response In modern CI/CD pipelines, code moves fast—sometimes too fast for human eyes to catch every vulnerability or misconfiguration. AI helps shift security left and right by: Analyzing code and dependencies with natural language processing and ML to detect hidden vulnerabilities, insecure APIs, or anomalous changes during commits. Real-time anomaly detection in production environments using AI-powered o...
Post a Comment
Read more