Cortex Update: Software Dev Standards and EngOps Platform

The latest update for #Cortex includes "Ask Cortex anything, right from Slack" and "The job is not to write code. It's to produce business value.". #microservices #SRE #devops https://lnkd.in/ebGhkU-j

The latest update for #Cortex includes "Every engineering org is taking an #AI readiness test right now" and "Software development standards and best practices". #microservices #SRE #devops https://lnkd.in/ebGhkU-j

The latest update for #Cortex includes "The job is not to write code. It's to produce business value." and "Faster code doesn't mean faster delivery". #microservices #SRE #devops https://lnkd.in/ebGhkU-j

𝗗𝗮𝘆 𝟴𝟲 𝗼𝗳 #𝟭𝟬𝟬𝗗𝗮𝘆𝘀𝗢𝗳𝗦𝘆𝘀𝘁𝗲𝗺𝗗𝗲𝘀𝗶𝗴𝗻 — 𝗕𝗹𝘂𝗲-𝗚𝗿𝗲𝗲𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 In distributed systems, deployments are one of the riskiest moments. A single bad release can break features, affect users, or bring everything down. Blue-green deployments are designed to remove that risk by changing how releases happen. Instead of updating the live system directly, you maintain two identical environments. One runs the current version, while the other holds the new version ready to go. The new version is deployed and tested in isolation, without affecting users. When everything is confirmed to be working, traffic is simply switched to the new environment, making the release instant and seamless. If anything goes wrong, switching back is just as fast. Without this approach, deployments can feel like a gamble. With blue-green deployments, releases become controlled, predictable, and reversible. The trade-off is cost and complexity, since you need to maintain duplicate environments and handle data consistency carefully. But in return, you gain confidence. Because in real systems, it is not just about building features. It is about releasing them safely. #SystemDesign #DistributedSystems #DevOps #BackendEngineering #100DaysOfCode

𝗗𝗮𝘆 𝟵𝟭 𝗼𝗳 #𝟭𝟬𝟬𝗗𝗮𝘆𝘀𝗢𝗳𝗦𝘆𝘀𝘁𝗲𝗺𝗗𝗲𝘀𝗶𝗴𝗻 — 𝗭𝗲𝗿𝗼-𝗗𝗼𝘄𝗻𝘁𝗶𝗺𝗲 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 In distributed systems, downtime during deployments is no longer acceptable, because users expect services to be available at all times, regardless of updates or changes happening behind the scenes. Zero-downtime deployments are designed to meet this expectation by allowing systems to be updated without taking them offline, ensuring that users can continue interacting with the system without interruption. Instead of shutting down services to apply changes, new versions are introduced gradually while the system is still running. Old and new versions coexist for a period of time, and traffic is shifted carefully until the transition is complete. This approach relies on strategies like rolling updates, blue-green deployments, and canary releases, all working together to make deployments smooth and controlled. The challenge, however, lies in ensuring compatibility. Both versions of the system must work together seamlessly, especially when dealing with shared data and ongoing user activity. Without this level of planning, deployments can introduce inconsistencies or unexpected failures. With it, deployments become invisible to users. Because in modern system design, it is not just about releasing new features. It is about releasing them without anyone noticing. #SystemDesign #DistributedSystems #DevOps #BackendEngineering #100DaysOfCode

Innovation is only as good as its uptime. Many teams overlook that the 'initial build' is just the tip of the iceberg regarding Total Cost of Ownership. Bridging that gap early is a massive competitive advantage.

This is the transitions I like to see, As much as I like vibe coding lately, there are still many concern about how the code you start "for fun" end up in production, security is the first issue, if you don't really know what your code do, someone else will understand that and probably in a malicious way, but if you start with solid foundations you can build on top of it easily!

Microservices are often celebrated as the 'magic solution' to software development challenges. They promise scalability, independence, and the ability to deploy features faster—but is it all sunshine and rainbows? Let's talk about the hidden costs that aren’t always discussed in conferences or webinars. From increased complexity in debugging to skyrocketing infrastructure costs, there might be more to microservices than meets the eye. Challenging popular wisdom is how we grow as engineers. What struggles have you faced with microservices? Let’s discuss below ⬇️. #SoftwareEngineering,#Technology,#Business,#Microservices,#CloudComputing,#Scalability,#DevOps,#TechInsights,#FutureOfSoftware,#DigitalChallenges

There’s a growing focus in software teams on something that isn’t visible to users: configuration management. Many systems today rely heavily on environment variables, feature flags, and external configs to control behavior. It adds flexibility — changes can be made without redeploying code. But it also introduces a different kind of complexity. Different environments behave differently. Misconfigured values can cause unexpected issues. Tracking changes becomes harder over time. In some cases, systems don’t break because of code changes — they break because of configuration drift. It’s a subtle shift, but an important one. As systems scale, managing configuration becomes just as critical as writing code. Curious how others handle this — do you centralize configs or manage them per environment? #SoftwareEngineering #DevOps #TechInsights #SystemDesign #ByteAure

Platform Engineering 102 : Source code by itself does not make a company $$. It's only when it is deployed, and accessed by the customers, does a company start making $$. So, the whole point of a technology platform is to optimize this process, every step of the way - basically make it as seamless as possible to move code from the repo -> compute. The faster this process is, the more $$ the company is poised to make. #flowoptimization #platformengineering #devops