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🔗 Stories, Tutorials & Articles |
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How To Start Strong In Your First Week As An Engineering Manager |
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The first week as an engineering manager (EM) involves preparing for meetings with the team, other managers, and supervisors, as well as talking to one's own manager to understand expectations and priorities. It's crucial to reintroduce oneself to the team, even if promoted from within the company, and to delegate previous tasks, reorganize schedules, and adjust deadlines accordingly. Reflecting on progress at the end of the week and encouraging continuous improvement are key aspects of this transition. |
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The 18-point secrets management checklist |
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By 2027, user blunders will cause a staggering 99% of cloud breaches, according to the experts who swear they know these things. Lock down secrets management by centralizing and automating with tools like Okta or Microsoft Entra ID. Don't skimp on IBAC and least-privileged access. Guard your cloud fortress as it levels up. |
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The 4 R’s of Pipeline Reliability: Data Systems That Last |
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RAG applications lean on pipelines that can crumble if the 4 R's framework isn't in place: reliable architecture, resumability, recoverability, redundancy. Ingenious stuff! |
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Building Azure Right: A Practical Checklist for Infrastructure Landing Zones |
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Azure fans are pros at dodging groundwork, which, surprise, leads to chaos; lay down a rock-solid Landing Zone to hack your costs and cut the pandemonium. Grab Infrastructure as Code tools like Terraform to smooth out deployments. Make sure RBAC doesn’t dive into the horror of unmonitored access. |
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Improving EC2 boot time from 4s to 2.8s to accelerate builds |
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Revving up Ubuntu 24.04 for a speedier boot, we ditched dead weight like snaps, AppArmor, and cloud-init—trimming userspace boot time from 4 to 2.8 seconds. Banishing IPv6 address checks and pruning systemd services like journald shaved off more precious milliseconds. Next on the chopping block: kernel modules and deep dives into the murky waters of initramfs. Stay tuned. |
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DR 101: Assembling Your Incident Response Team |
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A disaster recovery plan relies on a coordinated incident response team. The speed and coordination of this team are crucial for minimizing downtime and keeping the organization running smoothly during a crisis. Key roles within the incident response team include incident commander, technical lead, communications lead, documentation lead, and legal counsel. |
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Traffic meter per ASN without logs |
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asncounter swiftly deciphers IP traffic from logs into ASNs and prefixes. Unveils who's pounding your servers quicker than you can say bot army. Ban bots; watch page load times sprint while traffic drops like a rock. But don't kid yourself—bot vampires love a good door to knock on. |
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Optimizing Cost Management: Leveraging Resource Tagging and Mondoo Policies |
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Mondoo tags resources like a masterful librarian labels books. Then, it deploys custom policies that automate compliance like clockwork. Governance becomes a seamless dance, and cloud operations? They sprint faster than Usain Bolt. |
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Shared Database Pattern in Microservices: When Rules Get Broken |
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Every shared access point is a potential failure point. The risks are real and can be catastrophic. Safe implementation includes strict data ownership, schema change protocol, data integrity protection, and auditing. Moving to a structured API layer and data separation can help mitigate risks and plan an exit strategy from shared databases. |
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Scaling Azure Microservices for Holiday Peak Traffic |
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Automation hacks away scaling migraines for microservices drowning in peak traffic. With Azure DevOps CI/CD pipelines and IaC, scaling morphs into a cost-effective breeze. Just Cosmos DB autoscaling can shave off up to $7,200 a year. Automation’s the unsung hero of cloud efficiency—no capes needed. |
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X (Twitter) was down — what happened during major outage that stretched into weekend |
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X is still on the struggle bus. DMs? Still glitching, after a full day of chaos. Rumor has it, a fire at an Oregon data center might be the culprit. Oh, and two-factor authentication? Down for the count too. |
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Why Are There So Many Databases? ✅ |
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Snowflake might not be the cool kid forever, especially as BigQuery and Redshift learn a few tricks. DuckDB can handle small tasks at home, but toss it big data and watch it sweat. Data Lakes whisper about saving cash but then slap you with setup headaches. PostgreSQL is the MVP, effortlessly outdoing MySQL in most scenarios, while SQLite quietly dominates the embedded world. Those "hip" Document databases like MongoDB might just be a passing fad, and Graph databases are like a Swiss army knife that only solves that one puzzling problem. Vector databases are having a moment thanks to the AI frenzy, but multi-model databases like FaunaDB tend to promise the moon and deliver a pebble. |
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