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Software Deployment In 2026: Checklist & Strategies That Work

Jan 12, 2026 By Keploy In Keploy
Software deployment looks simple on paper, but in real projects, it’s where most failures show up. Even stable code can break when deployment isn’t planned well. In 2026, software deployment is no longer just about pushing code – it’s about reliability, speed, and control. Let’s explore how modern teams can deploy smarter, faster, and safer in 2026.
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Supercharge your LLM Using Production Data Context

Jan 12, 2026 By Speedscale In Speedscale
Are your LLM coding agents (like Cursor or Claude Code) hallucinating fixes because they don't know what's actually happening in production? In this video, Matt from Speedscale shows you how to bridge the gap between your local IDE and live production traffic using the Model Context Protocol (MCP). Most observability tools just give you telemetry. Speedscale’s MCP server gives your agent the "inner workings" of actual API calls and payloads, so it can check its assumptions against reality. No more "vibe-coding" and hoping it works; let your agent find the 500 errors and rate limits for you.
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Let Your LLM Debug Using Production Recordings

Jan 11, 2026 By Matthew LeRay In Speedscale
Modern LLM coding agents are great at reading code, but they still make assumptions. When something breaks in production, those assumptions can slow you down—especially when the real issue lives in live traffic, API responses, or database behavior. In this post, I’ll walk through how to connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions, and help you debug faster.
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API Testing With Cypress | Kristin Jackvony | TTTribeCast Webinar

Jan 10, 2026 By The Test Tribe In The Test Tribe
API tests are faster and more reliable than UI tests. So why aren’t more testers using them? In this session, we’ll learn what kinds of API tests to run, and how to easily configure them in Cypress. Your API tests can live alongside your UI tests, providing valuable fast feedback for the quality of your application!
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Speedscale vs. LocalStack for Realistic Mocks

Jan 9, 2026 By Damaso Sanoja In Speedscale
API mocking plays a crucial role in modern software development allowing developers to simulate external API endpoints. It’s an effective way to isolate your application for testing and ensure that code changes don’t inadvertently break critical dependencies. Essentially, API mocking helps you create robust, reliable software by allowing you to test how your application interacts with external services.
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How to Do Full-Text Search Across All Application Traffic with Speedscale

Jan 9, 2026 By Matthew LeRay In Speedscale
Modern DevOps observability tools are excellent for monitoring system health, tracking distributed traces, and aggregating metrics. However, they lack the fidelity needed for full-text search across application traffic. While observability platforms excel at showing what happened and when, they often fall short when you need to find where a specific piece of data (like an email address, user ID, or transaction token) appears as it flows through your entire application stack.
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Faster Testing: How Modern Teams Ship High-Quality Software Quickly

Jan 9, 2026 By Keploy In Keploy
Software teams today are challenged to provide high quality releases at a much faster pace than ever before. As software development cycles become shorter, user expectations continue to increase and products become more complicated, testing becomes a bottleneck in the overall delivery process. Rather than reducing testing, the goal is to evolve testing to be faster, smarter, more automated and more dependable.
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Is Kubernetes actually HARD? #speedscale #kubernetes #k8s #devops #cloudnative

Jan 9, 2026 By Speedscale In Speedscale
Thinking about learning Kubernetes in 2026? You’ll need GitOps, kubectl, and CI/CD pipelines... OR you can just use Speedscale. See how a single operator replaces a million dependencies and gives you the traffic insights you actually need to survive production.
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