This is the 1st part of the blog series exploring the intricacies of Kafka Consumer error handling. The first part covers error handling fundamentals, while the subsequent sections provide hands-on examples and solutions.

Kafka Consumer Error Handling and Retries - Part 1

Recently I caught myself in a pool of stinking thinking while driving back from work. I was thinking about a friend who had recently published a book and was a speaker at a conference. In my unconsciousness I was dragging him down by thinking he must be speaking for free at the conference. After catching myself, I started a conversation with my unconscious self.

How I started spotting the Gollum inside me and why I'm loving it

How using caching solutions like mecached can be used to achieve better performance and also better scalability.

Caching to achieve better Performance and Scalability

After working for a decade and half in IT industry and working in various kind of work environment from startup to big corporates, I learned few lessons that I wish someone might have told me back when I was fresh out of college.
Somethings are best learned the hard way; by making mistakes. But it’s in our best interest to equip ourselves with the tools that help us avoid unnecessary mistakes and get the most out of every mistakes.

5 Things I wish I knew before my first job

When I learned about containers I was using VMs for many year and despite its bulkiness and resource greediness, I was kind of happy with what it was offering back then.
<p> So when I heard about Containers services I was all pumped up and had created some false hope like it can replace VMs all together. As I use container my myths got busted and I realize that they both have it place.</p>


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Kafka Consumer Error Handling and Retries - Part 1

How I started spotting the Gollum inside me and why I'm loving it

Caching to achieve better Performance and Scalability

5 Things I wish I knew before my first job

Containers vs. Virtual Machines an Unbiased Comparison