Showing 114 articles
RSS FeedThe database metrics that predict incidents: throughput, latency, connections, replication, cache, resources, locks, and errors, with trouble signs.
A postmortem is the blameless retrospective you run after an incident. Learn how to write one, with a free postmortem template you can copy.
A pre and post-deploy checklist for shipping to Kubernetes: probes, resource limits, rollout strategy, secrets, pinned tags, rollback, and verification.
Performance testing applies simulated load before release to find the ceiling. Monitoring watches real production traffic after. Here is the distinction.
Uptime monitoring checks if a site is reachable. Synthetic monitoring runs scripted user journeys. Here is the distinction and which one you need.
Database monitoring tracks query latency, connections, replication, and capacity. Learn the key metrics, common approaches, and where it fits.
Incident response automation turns monitoring alerts into tracked incidents automatically. What to automate, what to keep human, and how to start.
IT monitoring is the umbrella over infrastructure, network, application, and availability monitoring. What each layer covers and how they fit together.
A practical performance optimization workflow: measure, find the bottleneck layer, fix the biggest cost, and verify with monitoring so wins stick.
Cloud automation uses software to provision, scale, and manage cloud resources instead of clicking through consoles. What it covers, tools, and limits.
ERR_SSL_KEY_USAGE_INCOMPATIBLE means the certificate's Key Usage extension forbids how the TLS connection tried to use it. How to reissue correctly.
ERR_SSL_PROTOCOL_ERROR means Chrome could not complete the TLS handshake. The visitor-side and server-side causes, and how to fix each one.
ERR_SSL_VERSION_OR_CIPHER_MISMATCH means the browser and server share no TLS version or cipher suite. The causes and the exact config fixes.
How Kubernetes Deployments work: the Deployment object, rolling updates, rollbacks, and the strategies (blue-green, canary) teams layer on top.
SLIs measure, SLOs target, SLAs promise with penalties. How the three relate, realistic examples, and how error budgets turn them into decisions.
The SSL certificate chain links your site's certificate to a trusted root CA. How the chain of trust works, why it breaks, and how to fix it.
SSL_ERROR_RX_RECORD_TOO_LONG means Firefox got plaintext where it expected TLS, almost always a server listening on 443 without SSL enabled.
Every SSL error is one of seven failures: expired cert, name mismatch, broken chain, self-signed, protocol mismatch, clock skew, or mixed content.
SSL handshake failed means client and server could not agree on a secure connection. The causes on each side and how to diagnose them in minutes.
Port 443 is the standard SSL/HTTPS port. What happens on it, how it differs from port 80, the other TLS ports, and how to test any of them.
Yes: HTTPS is a confirmed Google ranking signal, and the indirect effects (trust, referral data, Core Web Vitals) are bigger than the signal itself.
A guide to Kubernetes monitoring tools: what to track in a cluster, the main tool categories, and how to pick the right stack for your team.
Network automation uses software to configure and manage network devices instead of manual CLI work. Learn what it automates, the tools, and the risks.
How to choose network monitoring software: what it tracks, the main categories of tools, and how to evaluate them for your network.
Performance monitoring tracks how fast and responsive a system is against expected baselines. Learn what it covers and how it differs from APM.
A guide to software deployment tools: the categories on the market, the capabilities that separate them, and how to match one to your stack.
How to choose website monitoring tools: the product categories on the market, the features that matter, and how to evaluate them for your site.
Application monitoring (APM) tracks how an app performs in production. Learn what APM is, what it measures, and how it differs from infra monitoring.
Cloud monitoring tracks the health, performance, and cost of cloud resources and managed services. Learn what it covers and how it differs from on-prem.
Data automation replaces manual data tasks with automated workflows. Learn what it is, common types, benefits, and how to monitor it.
DevOps automation replaces manual lifecycle tasks (build, test, deploy, monitor) with pipelines. Learn what it covers and where to start.
Infrastructure monitoring tracks the health of servers, networks, and cloud resources. Learn what it covers, key metrics, and how it differs from APM.
API monitoring catches broken endpoints before users do. Learn how to monitor a REST API: what to check, assertions, intervals, and alerting.
Network security monitoring collects and analyzes network data to detect threats and intrusions. Learn what NSM is, how it works, and its limits.
Security monitoring collects and analyzes logs and events to detect threats before they become breaches. Learn what it watches, how it works, and its limits.
Server monitoring tracks a host's CPU, memory, disk, and uptime so you catch problems before they crash the service. Learn the metrics and how to start.
Website monitoring continuously checks a site's availability, speed, and functionality. Learn the types of website monitoring and how it works.
Compliance monitoring is the ongoing check that systems and processes meet regulations and standards. Learn what it is, frameworks, and how it works.
Downtime is any period when a system is unavailable to users. Learn what downtime means, what causes it, what it costs, and how to reduce it.
Incident management is the process of detecting, responding to, and resolving outages. Learn the incident lifecycle, roles, and best practices.
An incident report documents what broke, the impact, and the fix. Learn how to write a clear incident report, with a free template you can copy.
Deployment strategies decide how new code reaches production safely. Here are the main ones, blue-green, canary, rolling, and how to choose.
Latency is delay, bandwidth is capacity. Why a gigabit connection can still feel slow, how to measure each, and which number to watch for speed.
LLM observability is how you see inside AI-powered apps: prompts, outputs, cost, latency, and quality. Here is what it means and what to track.
Observability and monitoring sound alike but solve different problems. Here is the real difference, the three pillars, and when you need each.
Webhooks push data the moment something happens; APIs wait for you to ask. Here's the real difference, when to use each, and the tradeoffs of both.
A buyer-side guide to picking an API testing tool in 2026. Local vs cloud workflows, collaboration, CI integration, and the bits the vendor demo skips.
A practical guide to picking an application performance monitoring vendor in 2026. Trace sampling, cardinality bills, agent overhead, and what the sales engineer will not volunteer.
A buyer-side guide to picking an error monitoring vendor in 2026. Sampling, source maps, alert routing, and the questions the demo deck will not answer.
A buyer-side guide to picking a synthetic monitoring vendor in 2026. Pricing patterns, alerting, self-healing, and the questions vendor demos will not answer.
A buyer-side guide to picking a test automation tool in 2026. Code-first vs no-code, self-healing, CI integration, and the questions the demo will not answer.
The best API monitoring tools for 2026, compared on alerting, dashboards, and price, with picks for developer and QA teams watching live APIs.
Learn what synthetic monitoring is, how it differs from real user monitoring, and how to implement it for your web applications.
Learn how to monitor website uptime, set up alerts, and choose the best uptime monitoring tools for your business.
Integration testing checks how components talk to each other. End-to-end testing validates a full user journey through the live system. The difference.
A step-by-step guide to running a load test: pick a flow, set a target, script it, ramp the load, and read the tail percentiles that actually matter.
Set up a CI/CD pipeline step by step: pick a platform, define triggers, build, test, gate on red, deploy to staging then prod, and verify.
A step by step guide to writing a smoke test: pick the critical paths, write a shallow check for each, keep it fast, and run it as your first CI gate.
Sanity testing is a quick, narrow check that one change works. Regression testing broadly re-tests everything else. Here is how they differ.
Smoke and regression testing do different jobs: one is a fast pre-gate on a fresh build, the other a deep re-test for what a change broke.
System testing checks the product against its spec. UAT checks it against real business needs. Here is who runs each, when, and which one you need.
Practical API design principles: consistent naming, correct HTTP semantics, versioning, pagination, and error shapes that consumers can rely on.
Load testing checks behavior at expected traffic; stress testing finds where and how the system breaks beyond it. The differences, with examples of each.
Performance benchmarking measures a system against a reference point: a baseline, a competitor, or a standard. How it differs from performance testing.
A practical buying guide to performance testing tools: the open-source standards, the managed platforms, and how to pick for your stack and team.
Playwright and Cypress compared on architecture, browser coverage, parallelism, and debugging, and which one fits your team in 2026.
What a QA tester does day to day: designing tests, hunting regressions, reporting bugs, and increasingly running automation. The real job, demystified.
How independently built systems are verified to work together: data flows, contracts, and failure handling across the seams.
Selenium is the original browser automation project: WebDriver, Grid, and IDE. What it does, where it still fits, and how it compares to modern tools.
DevSecOps builds security into the development lifecycle instead of bolting it on at the end. Learn what it changes, the toolchain, and how to start.
API security protects APIs from unauthorized access, data exposure, and abuse. Learn the key risks, the OWASP API Top 10, and how to defend them.
.http files let you test APIs as plain text in your editor. Learn the syntax, variables, and how to run them in VS Code, IntelliJ, and CI.
Penetration testing is an authorized simulated attack to find exploitable flaws. Learn the types, phases, and how it differs from a vulnerability scan.
Alpha and beta testing are the final acceptance stages before release. Learn the difference between alpha and beta testing and when each happens.
System testing checks a complete, integrated application against its requirements. Learn what system testing is, its types, and where it fits.
User acceptance testing (UAT) is the final check that software meets business needs before release. Learn what UAT is, who runs it, and when.
Cucumber is a behavior-driven development tool that runs plain-language specs written in Gherkin. Learn what Cucumber is and when to use it.
Cypress is a JavaScript end-to-end testing framework that runs in the browser. Learn what Cypress is, its key features, and when to use it.
A CI/CD pipeline automates building, testing, and deploying code. Here is what each stage does, how CI differs from CD, and where testing fits.
Exploratory testing is unscripted testing where you learn, design, and run tests at once. Here is how it works and when it beats scripted tests.
Manual testing is a person checking software by hand. Here is what it is, when it beats automation, the main types, and how to do it well.
Performance testing checks how your app behaves under load. Here are the main types, the metrics that matter, and how to get started.
Sanity testing is a quick, narrow check that a specific change works before deeper testing. Here is how it differs from smoke and regression.
Security testing finds vulnerabilities before attackers do. Here are the main types, where they fit in the SDLC, and how to get started.
End-to-end testing checks a complete user flow through the whole running app. Here is what E2E testing is, when to use it, its tradeoffs, and the tools that run it.
Playwright and Selenium both automate browsers, but they come from different eras and make different tradeoffs. Here is how they compare on architecture, speed, language support, browser coverage, and which one fits your team.
Regression testing makes sure new changes don't break what already worked. Here is what regression testing is, the main types, manual vs automated, and how to build a suite that stays useful.
Smoke testing is a quick check that a build's core functions work before deeper testing begins. Here is what smoke testing is, what it catches, and how it differs from sanity and regression testing.
The testing pyramid is a simple rule for balancing test types: many fast unit tests, fewer integration tests, few end-to-end tests. Here is what it means and how to apply it.
A testing strategy decides what to test, at which level, and how much. See the core strategies, how they fit together, and how to build your own.
Cypress and Selenium solve browser testing in very different ways. Here is how they compare on architecture, language support, browser coverage, speed, and which one fits your team.
Quality assurance and quality control get used interchangeably, but they are not the same thing. Here is what QA and QC actually mean, how they differ, and where each fits in software delivery.
Picking the runner and the test framework that ride your pipeline in 2026. Queue time, flake budgets, parallelism pricing, and the questions the sales call will not cover.
Compare ObserveOne and Better Stack: uptime checks, incidents, heartbeats, and AI-generated Playwright suites vs a broad observability and on-call suite.
Insomnia's forced login pushed many devs to switch. Here are the best Insomnia alternatives in 2026, from .http files to Bruno, Postman, and more.
Postman got heavy and cloud-first. Here are the best Postman alternatives in 2026, from .http files and Bruno to Hoppscotch, Insomnia, and curl.
Compare ObserveOne and Site24x7 for website QA and synthetic monitoring. See where they overlap, where setup friction appears, and which fits your team.
Compare ObserveOne and Checkly, two Playwright monitoring platforms: one generates and self-heals your tests, the other you write as code. Which fits?
Compare ObserveOne and Pingdom for website monitoring, uptime, and synthetic checks, plus AI-generated Playwright tests with Autopilot and incidents.
Compare ObserveOne and Mabl: production monitoring with AI-generated Playwright tests vs a QA test automation platform. Which fits your team?
The Playwright MCP server lets AI agents drive a real browser via Playwright, using the accessibility tree instead of screenshots. Here is how it works.
A practical playbook for finding, quarantining, and fixing flaky Playwright tests in CI and production monitoring. Real failure modes, real fixes, no retries-as-a-bandaid.
Master Playwright with this comprehensive guide. Learn installation, best practices, advanced features, and how to build reliable test automation.
Playwright is a modern web testing framework by Microsoft. Learn what Playwright is, its key features, and when to use it for test automation.
Part eight of building oo-workers in public: testing a monitoring tool with real infrastructure over mocks, and behavior over vacuous tests.
Part seven of building oo-workers in public: trimming the image from 3.5 GB to 1.4 GB with a headless Chromium shell, and where the hard floor is.
Part six of building oo-workers in public: replacing dashboard polling with Server-Sent Events, and the in-process bus bug it exposed.
Part four of building oo-workers in public: a schema-versioned NDJSON backup that survives a Postgres upgrade and bundles its S3 artifacts.
Part five of building oo-workers in public: a deliberate code-quality pass shipped as 14 small PRs, the hardening it added, and one big file split.
Part three of building oo-workers in public: why the admin dashboard is a hand-rolled vanilla-TypeScript SPA with no React, and what the v2 redesign added.
Part two of building oo-workers in public: growing from three probes to eight, including heartbeats and checks that never speak HTTP.
Part one of building oo-workers in public: the stack behind the engine, Bun, Postgres, BullMQ, and Playwright, and why we chose each.
Side-by-side breakdowns of the tools you'll probably shortlist. Pricing and features, with where ObserveOne sits.
If you're moving off a big-name tool, these pages cover why people switch and what they switch to.