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OOsitrusteesositrustees.hashnode.dev3d ago · 6 min read

🌐 Evaluating System Architecture: How Engineers Analyze Data Feeds and Interface Reliability

Article Body: Web development for financial systems has become increasingly complex. Engineers can now build and deploy real-time data visualization applications, multi-asset dashboards, and analytica

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MHMichael Hairetisopenred.hashnode.dev4d ago · 2 min read

Agentic systems are a routing problem, not a model problem

Agentic AI splits into two halves, and they behave completely differently. The first is model capability. It improves on its own, it arrives for free, and it asks nothing of you. Your system gets bett

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DSDoogal Simpsondoogal.dev5d ago · 6 min read

Why Storing Future Events in UTC is a Database Trap

Storing future events in UTC is a subtle trap. Because governments frequently alter daylight saving rules and time zone boundaries, an absolute UTC timestamp can shift the intended "wall-clock" time o

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DSDoogal Simpsondoogal.devSep 24 · 5 min read

How to Calculate DB Connection Pools for Auto-Scaling

When your application auto-scales, your database connections can quickly saturate. If your service replica connection pool size multiplied by the number of active replicas exceeds your database's max

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ZZyVOPblog.zyvop.comSep 24 · 8 min read

Consistent Hashing: Why Adding One Server Shouldn't Move Everything

Add a fifth server to a four-server cache cluster. With the obvious approach, hash(key) % number_of_servers, something like 80% of your keys suddenly belong to a different server than they did a minut

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ZZyVOPblog.zyvop.comSep 23 · 6 min read

Bloom Filters: The Data Structure That's Allowed to Lie (A Little)

Chrome checks every URL you visit against a list of millions of known malicious sites, before the page loads, without a network round trip for most of them, and without storing a multi-gigabyte blockl

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ZZyVOPblog.zyvop.comSep 22 · 17 min read

Caching Strategies Every Backend Developer Must Know

There is a reason Phil Karlton's 1990s quip — that the two hardest problems in computer science are cache invalidation and naming things — still surfaces in every engineering conversation. Caching is

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GBGowtham Beharaworksonmyproduction.hashnode.devSep 17 · 8 min read

Designing trust into the schema, not bolting it on later

If you build a platform where anonymous strangers rate named individuals, you have built a defamation machine with a nice UI. That's not a hypothetical — it's the first thing that occurred to me befor

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JMJoselo Martinezdesignednotmagic.hashnode.devSep 16 · 4 min read

Agentic AI Beyond the Hype: Why the Boundaries Are Key in Deterministic and Non-Deterministic Behavior for Agents

Let’s imagine we are implementing deterministic behavior for agent systems using control techniques (harnessing). Suddenly, we observe that the agent's actions and responses begin to become clumsy, an

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MHMichael Hairetisopenred.hashnode.devSep 15 · 3 min read

What changes when the agent's output is the product

Two platforms, one agent service, and the difference between them is a distinction I did not see until I crossed it. On the orchestration side, when an agent classifies a failure incorrectly the cost

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#systemdesign

Explore Hashnode

Trending tags this week

🌐 Evaluating System Architecture: How Engineers Analyze Data Feeds and Interface Reliability

Agentic systems are a routing problem, not a model problem

Why Storing Future Events in UTC is a Database Trap

How to Calculate DB Connection Pools for Auto-Scaling

Consistent Hashing: Why Adding One Server Shouldn't Move Everything

Bloom Filters: The Data Structure That's Allowed to Lie (A Little)

Caching Strategies Every Backend Developer Must Know

Designing trust into the schema, not bolting it on later

Agentic AI Beyond the Hype: Why the Boundaries Are Key in Deterministic and Non-Deterministic Behavior for Agents

What changes when the agent's output is the product