Brooklyn, NY, USA
2007
  |  By Sematext
While AI have usage has been growing steadily for the last several years, the LLM models noticeably improved around the end of 2025. Specifically, they become more viable for software development. We are seeing the results. The feature and product delivery has picked up. One way to visualize this is by looking at the number of pull requests for your organization / software development teams. This chart shows the number of Github pull requests created by a team. Can you spot when AI usage increased?
  |  By Sematext
OpenTelemetry almost always works beautifully in staging, demos, and videos. You enable auto-instrumentation, spans appear, metrics flow, the collector starts, and dashboards light up. Everything looks clean and predictable. However, production has a way of humbling even the most carefully prepared setups. When real traffic hits, and it always spikes sooner or later, you start seeing dropped spans.
  |  By Sematext
Distributed tracing doesn’t just show you what happened. It shows you why things broke. While logs tell you a service returned a 500 error and metrics show latency spiked, only traces reveal the full chain of causation: the upstream timeout that triggered a retry storm, the N+1 query pattern that saturated your connection pool, or the missing cache hit that turned a 50ms call into a 3-second database roundtrip.
  |  By Sematext
A lot of talk around OpenTelemetry has to do with instrumentation, especially auto-instrumentation, about OTel being vendor neutral, being open and a defacto standard. But how you use the final output of OTel is what makes business difference. In other words, how do you use it to make your life as an SRE/DevOps/biz person easier? How do you have to set things up to truly solve production issues faster?
  |  By Sematext
OpenTelemetry instrumentation is the foundation of modern microservices observability, but getting it right in production requires more than just enabling auto-instrumentation. This guide covers production-tested OpenTelemetry best practices that help engineering teams achieve reliable distributed tracing, control observability costs, and extract maximum value from their telemetry data.
  |  By Sematext
This guide shows you how to implement OpenTelemetry’s auto-instrumentation for complete distributed tracing across your microservices, from initial setup through production optimization and troubleshooting.
  |  By Sematext
Distributed tracing has become essential for modern software teams. As applications evolve into complex distributed systems with microservices, APIs, databases, and third-party integrations, understanding how a single user request travels through your entire stack is no longer optional, it’s critical for maintaining performance, reliability, and user satisfaction.
  |  By Costas Pipilas
It’s 2 AM, and your phone buzzes with an urgent alert—your primary server application is down, and users are flooding the support channels with complaints. As you dive into the logs, the cause is elusive, buried somewhere in the sea of system events. Is it a rogue service eating up memory? A failing disk? Or a network bottleneck? Without powerful Windows monitoring tools, you’re left troubleshooting in the dark.
  |  By Hasan Wajahat
Websites are no longer static pages. They’re dynamic, transaction-heavy ecosystems where every click, form submission, and login matters. Whether you’re in e-commerce, SaaS, or finance, transaction failures can lead to revenue loss, frustrated customers, and even damage to your brand. That’s where web transaction monitoring tools come in — a critical component to make sure every interaction goes smoothly.
  |  By Rafal Kuć
Log analysis and management tools have become essential in troubleshooting. With log analyzers you can extract meaningful data from logs to pinpoint the root cause of any app or system error, and find trends and patterns to help guide your business decisions, investigations, and security. If you’re not already using such a tool, now is the time to start looking for one.
  |  By Sematext
Experience tailored log event processing with customizable Pipelines and Processors, allowing you to eliminate unwanted data, transform logs, reduce costs, more. Key Features: Optimize Your Log Monitoring Today!#costoptimization.
  |  By Sematext
Sematext Cloud's Fleet and Discovery makes managing agent installations and setting up service and log monitoring a super simple task. It lets you see, troubleshoot and manage each agent, use logs for diagnostics, and set up which services or logs you want to be monitored. Don't miss out on the opportunity to streamline your monitoring workflow and ensure the optimal performance of your technology stack.
  |  By Sematext
🚀 Looking for a monitoring solution for your Kubernetes clusters? In this step-by-step guide, we will have Sematext monitoring your cluster in under 3 minutes! 🌐 Whether you're navigating the cloud or managing local deployments, this quick and easy setup unlocks the power of full-stack monitoring, ensuring your system's health is at your fingertips. In this concise tutorial, we will learn how to set up customized alerts to stay ahead of potential issues, effortlessly monitor your infrastructure's performance, and establish centralized logging for your Kubernetes environment. 📊💡
  |  By Sematext
In this video, we will discuss what log levels are, how to use them in your application, and how to monitor your logs with Sematext. We break down the intricacies of log levels, guiding you through their significance and practical implementation. Elevate your DevOps game with insights on proactive issue detection and rapid problem resolution. With a centralized logging solution like Sematext Cloud, you can enhance collaboration, minimize downtime, and boost overall system performance.
  |  By Sematext
In this short clip, we look at what a pod is and the basic architecture of Kubernetes. To learn more, check out these resources: Chapters.
  |  By Sematext
Welcome to our Sematext vs. Datadog pricing comparison.
  |  By Sematext
In this talk, Radu will delve into the world of Elasticsearch and OpenSearch within Kubernetes. In this informative snippet, we uncover the best practices for deploying, managing, and optimizing these powerful search and analytics engines in your Kubernetes environment. Whether you're a seasoned developer, a DevOps enthusiast, or a data-driven professional, this presentation offers invaluable insights that will enhance your Elasticsearch and OpenSearch deployment strategies.
  |  By Sematext
Ready to dive into the world of Kubernetes? Join us in this beginner-friendly tutorial where we break down Kubernetes infrastructure, explore its fundamental components, and understand how it all fits together at a high level. Whether you're a developer, sysadmin, or just curious about Kubernetes, this video has you covered.
  |  By Sematext
🚀 Dive into the world of Elasticsearch performance with our expert at Sematext! In this insightful conference talk, we explore the crucial differences between Doc Values and Field Data, shedding light on the best practices for optimizing your Elasticsearch clusters. Discover how the choice between Doc Values and Field Data can significantly impact your Elasticsearch queries, indexing, and overall system efficiency. Gain the knowledge and insights to supercharge your Elasticsearch deployments.
  |  By Sematext
🚀 Elevate your OpenSearch game with Sematext! 🚀 Ready to excel in OpenSearch? Sematext offers top-tier Consulting, Training, and Production Support services, finely tuned to empower you with expertise in Opensearch's most critical aspects. Explore our comprehensive suite of services, meticulously designed to bolster your OpenSearch journey.
  |  By Sematext
If you manage Elasticsearch clusters you'll find this cheat sheet created by Sematext Elasticsearch experts very handy. In it you will find a comprehensive list of copy-paste curl snippets for allocation, caches, segment merges, performance troubleshooting and quite a bit more. Enjoy and share!
  |  By Sematext
The Cloud Native movement and migration of applications to microservice architectures require general visibility and observability into software behavior. OpenTracing aims to offer a consistent, unified, and tracer-agnostic instrumentation API for a wide range of frameworks, platforms and programming languages.
  |  By Sematext
This Elasticsearch Developer Cheat Sheet provides a comprehensive list of key Elasticsearch operations every developer needs - index creation, deletion, mapping manipulation, indexing API, ingestion API, querying, aggregations, document relations (nested and parent child) and more! Enjoy and share!
  |  By Sematext
In this reference architecture document, you will find out about all key Docker metrics to watch. Following that, you will learn how to set up monitoring and logging for a Docker UCP cluster. Specifically, this e-book shows how to use Sematext Docker Agent to collect metrics, events and logs for all Docker hosts and containers. Enjoy and share!
  |  By Sematext
This Solr / SolrCloud Metrics API Cheat Sheet shows you how to access all the new Solr metrics - Jetty Metrics, JVM Metrics, Solr Node Metrics, Core OS metrics, etc. Print it. Copy-paste from it. Use it when troubleshooting Solr performance issues. Enjoy and share!
  |  By Sematext
Evaluating Elasticsearch for a future project or preparing to "go live"? This e-book is an introduction to the working principles of Elasticsearch, with a focus on performance monitoring and tuning of production operations. This guide helps close the gap in understanding between team members such as developers, operations and their team leader. Enjoy and share!
  |  By Sematext
This Solr / SolrCloud Cheat Sheet shows you how to access all the new Solr features - Running Solr, Data Manipulation, Searching, Faceting, Streaming Aggregations, etc. Print it. Copy-paste from it. Use it when troubleshooting Solr performance issues. Enjoy and share!
  |  By Sematext
Looking to replace Splunk or a similar commercial solution with Elasticsearch, Logstash, and Kibana (aka, "ELK stack" or "Elastic stack") or an alternative logging stack? In this eBook you'll find useful how-to instructions, screenshots, code, info about structured logging with rsyslog and Elasticsearch, and more. Enjoy and share!
  |  By Sematext
This Kubernetes Cheat Sheet puts all key Kubernetes commands (think kubectl) at your fingertips. Organized in logical groups from resource management (e.g. creating or listing pods, services, daemons), viewing and finding resources, to monitoring and logging. Enjoy and share!
  |  By Sematext
Evaluating docker for a future log management or monitoring project? This Docker cheat sheet covers all you need to know from creating and starting a container in one operation to executing commands in containers, Docker networks, Data cleanup and more. Enjoy and share!

Sematext Cloud is an all-in-one observability solution for modern-day software-based companies that provides key insights into front-end and back-end performance. Sematext encompasses infrastructure, real user & synthetic monitoring, transaction tracing, and log management. Sematext gives businesses full-stack visibility by exposing key performance issues quickly and easily through a single Cloud or On-Premise solution.