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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

Alongside streamlined processes and collaborative efficiency, DevOps teams need real-time access to detailed, correlative, context-rich data and analytics. By understanding how observability in DevOps transforms development capabilities, you can maximize the effectiveness of your teams and your data. Let’s get into it.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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For startups, trustworthy security means going above and beyond compliance standards

TechCrunch

Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. Winning enterprise sales teams know how to persuade the Chief Objection Officer. In reality, compliance means that a company meets a minimum set of controls.

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Astro emerges from stealth to connect Latin American developers with US tech companies

TechCrunch

Astro , a startup helping companies to build and manage developer teams with talent from Latin America, today exited from stealth with $13 million in Series A funding contributed by Greycroft with participation by Obvious Ventures and other unnamed investors. million by 2030. based tech companies.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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Simple sabotage for software

Erik Bernhardsson

You can of course make a series of obviously bad decisions, but you'd get fired quickly. Make sure production environment differs from developer environments in as many ways as possible. Develop incredibly detailed “strategic” plans. Frequently reassign underperformers to other teams. Pivot frequently.

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LLMs Demand Observability-Driven Development

Honeycomb

Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt. There is a much longer list of things that make software less than 100% debuggable in practice.