The GitOps Minefield: Why Most Tooling is Overcomplicated and How Portainer Simplifies It

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GitOps is supposed to make Kubernetes easier. The idea is simple: declarative configurations stored in Git, automatically applied to your cluster when changes are made. It sounds like a dream come true for developers and platform teams alike. But in reality, for many organizations, GitOps tooling is a minefield. What’s promised as simplicity often devolves into a web of complexity that’s difficult to manage, prone to errors, and leaves teams scrambling to troubleshoot and maintain.

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How we enriched customer contact and organization data

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We wanted to get more context for the data we collect, so we shopped around for data enrichment services. These companies can contextualize your data with more details. For example, given a domain name, a third-party enrichment service can give you the domain’s associated company name, its size, industry, and…

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What is NIST 800-53?

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Imagine compliance is like a driving application. You know your location and you plug in the destination address, then it shows you the route’s overview. If you want a more specific map, you can zoom in a bit and get more details. Similarly, the National Institute of Standards and Technology…

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Startups: Apply today for up to $100,000 in Grafana Cloud credits

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At Grafana Labs, we believe in providing observability solutions for organizations of every size and stage. That’s why we have free tiers and enterprise plans and everything in between. But across our broad spectrum of users, startups have particular needs and challenges. For example, if they catch fire, they are…

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Resolve issues faster with contextualized root cause analysis workflows in Grafana Cloud

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One of the biggest challenges in troubleshooting complex microservice-based applications is the manual correlation across both application and infrastructure layers. Teams must connect these anomalies over time, understand cause-and-effect relationships, and detect patterns to diagnose issues. This process is often costly and time-consuming, prone to errors, and leads to delays…

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Reduce costs, optimize log volumes, and maintain full observability: Introducing Adaptive Logs

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When excessive log volumes flood your environment, finding the crucial information becomes a stressful and daunting task. Rising costs add to the pressure, straining your resources without delivering real value. You need a way to optimize your costs while maintaining full visibility into your system. That’s why we built Adaptive…

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ObservabilityCON 2024: Major news announcements, product updates, and a new startup program

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Today at ObservabilityCON 2024 in New York, we unveiled a number of updates to simplify observability, help users save time and reduce toil, and enhance their overall efficiency and cost-effectiveness through new AI-powered features. “Today’s announcements represent a significant leap forward in making observability easier, more efficient, and more intelligent,”…

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Grafana Labs acquires TailCtrl to accelerate development of Adaptive Traces for cost optimization

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Here at Grafana Labs, we know that as our users’ IT architectures become increasingly distributed and complex, it can become increasingly difficult for them to get the visibility they need into application performance. Distributed tracing is a powerful tool to help address that challenge, enabling you to unravel and gain…

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A queryless experience for exploring metrics, logs, traces, and profiles: Introducing the Explore apps suite for Grafana

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One of our biggest goals at Grafana Labs is, and always has been, to build observability solutions that are not only powerful, but are also accessible and easy to use. At the end of the day, we want to help everyone derive meaningful insights from their data, whether they’re a…

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