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By Prathamesh Sonpatki
If you've ever tried to set up OpenTelemetry visualization, you know it can be a bit overwhelming. But don't worry—in this guide, we'll break it all down step by step. Whether you're just getting started or looking to fine-tune your existing setup, this walkthrough will help you get the most out of your telemetry data.
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By Preeti Dewani
If you're working with search and analytics, you’ve probably heard about OpenSearch—the open-source alternative to Elasticsearch. OpenSearch is a powerful tool, whether you're building a search engine, running log analytics, or implementing full-text search in your applications. And the best part? You can integrate it easily with Python.
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By Prathamesh Sonpatki
If you’ve ever struggled with understanding distributed traces, managing metrics, or debugging complex applications, OpenTelemetry is your best friend. But what about the OpenTelemetry UI? How do you visualize and interact with all that telemetry data? In this guide, we’ll explore the best ways to use OpenTelemetry’s UI options, from setting up a proper observability stack to choosing the right front-end visualization tools.
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By Aditya Godbole
Modern application observability is essential for ensuring system performance, diagnosing issues, and optimizing user experiences. OpenTelemetry (Otel) and Grafana serve as two key components in achieving end-to-end visibility. While OpenTelemetry focuses on instrumenting applications to collect telemetry data, Grafana specializes in visualizing this data, making it actionable and insightful.
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By Ujjwal Goyal
If you've ever had a Java application slow down in production and struggled to pinpoint the cause, you know the pain of performance issues. Java is a powerful, high-level language, but it doesn’t come without challenges—especially when it comes to resource management, garbage collection, and thread handling. This guide will take you through everything you need to know about Java performance monitoring, from key metrics to tools and best practices.
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By Anjali Udasi
When managing infrastructure and deploying applications in a cloud-native environment, two popular tools that developers often compare are Helm and Terraform. While both are used to automate deployments, they serve different purposes and operate in distinct ways. Understanding the differences can help you make the right choice for your use case.
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By Prathamesh Sonpatki
OpenTelemetry is an open-source tool that helps you keep an eye on your application’s performance. Whether you’re building microservices, using serverless setups, or working with a traditional monolithic app, it’s crucial to monitor and trace your app’s behavior for debugging and optimization. OpenTelemetry's Python instrumentation is an excellent way to track traces, metrics, and logs across your entire app.
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By Anjali Udasi
Apache Tomcat logs are essential for monitoring, debugging, and maintaining Java applications running on Tomcat. These logs capture critical information such as server startup details, request handling, and application errors. They help developers and system administrators troubleshoot issues, analyze traffic, and ensure application stability. Tomcat generates multiple logs, each serving a distinct purpose.
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By Anjali Udasi
When you're working with DynamoDB, one of the most critical things you need to keep an eye on is throttling. If you're not careful, throttling can severely impact your database's performance. It’s not just about slower response times—throttling can lead to system failures or unexpected downtime if not addressed properly.
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By Ujjwal Goyal
In software development, feature flags have become an essential tool for teams looking to deploy code with more control and agility. OpenFeature flagging, in particular, stands out as an open-source standard that’s revolutionizing how teams manage feature rollouts, experiments, and toggling. In this guide, we’ll understand what OpenFeature flagging is, its key benefits, how to implement it, and best practices to help you get the most out of it.
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By Last9
Levitate is a high-cardinality monitoring tool and a telemetry data warehouse with support for metrics, events, logs, and traces. Prometheus and OpenTelemetry compatibility makes it easy to get started with a hassle-free monitoring journey, be it starting from scratch or even swapping out your existing monitoring tool. Used by engineering teams worldwide at companies like Replit, Disney+ Hotsar, Clevertap, Probo, Quickwork, Axio, and more.
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By Last9
The most apt alert rules toolkit for your Prometheus setup. Connect your Prometheus setup. Discover components emitting metrics. Get recommendations of rules to be applied.
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By Last9
Last9 Levitate’s integration with LaunchDarkly enables change intelligence with feature flag events. Visualize the feature flag events as Change Event annotations in Levitate to correlate system health.
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By Last9
Last9 Levitate’s integration with LaunchDarkly enables change intelligence with feature flag events. Visualize the feature flag events as Change Event annotations in Levitate to correlate system health.
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By Last9
Using template variables to insert dynamic values based on labels for use cases like detailed alert descriptions, routing links, etc.
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By Last9
Are you using Prodvana.io for deployments? Send a change event to Levitate for every deployment from Prodvana.
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By Last9
You have probably heard of OpenTelemetry in the context of traces. But did you know OpenTelemetry also supports metrics with a comprehensive, forward-looking data model and SDKs? When it comes to metrics, one thinks of Prometheus, but Otel metrics provide exciting ideas such as cumulative deltas, exponential histograms, and more! This talk will demystify everything about Otel Metrics, from the data model to APIs to how to get started. We will cover the differences between Otel Metrics and Prometheus and explain the reasons why people get excited about using Otel Metrics.
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By Last9
The Indian Premier League is a unique sporting event for a dozen reasons. But for engineers in India, it’s one of a kind. Very few companies can boast of managing 30+ million concurrent users. Every year, this number grows. Last year, we witnessed ~60 million concurrent users. And things get bigger and larger every year.
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Last9 provides tools to improve Reliability in large-scale cloud-native environments.
Our open-standards-based tools provide visibility into the Rube Goldberg of micro-services. We take away the toil of managing a time series database by dramatically reducing your costs and improving developer productivity.
Levitate is our time series metrics & events warehouse designed for scale and high cardinality. Our warehousing capabilities provide necessary control levers to ensure cost-efficient data growth management, surpassing traditional storage solutions.
Start your observability journey today with Levitate. A Managed Time Series Data Warehouse that SREs trust.