The new Honeycomb Kubernetes agent is out! This post describes how infrastructure metrics contribute to observability, and then walks you through the steps to start sending your own Kubernetes data into Honeycomb. Follow the steps to start observing your infrastructure in production!
Elastic on Google Cloud gives you the power of Elastic Enterprise Search, Elastic Observability, Elastic Security as well as the Elastic Stack so you can quickly and easily search your environment for information, analyze data to observe insights, and protect your technology investments. Elastic Cloud lets you deploy your way, whether as a managed service, or with orchestration tools you manage in your Google Cloud environment.
Kubernetes can bring a wide collection of advantages to a development organization. Properly leveraging Kubernetes can greatly improve productivity, empower you to better utilize your cloud spend, improve application stability and reliability, and more. On the flip side, if you are not properly leveraging Kubernetes, your would-be benefits become drawbacks. As a developer, this can become especially frustrating when you are focused on delivering quality code, fast.
Product-led growth has become a popular go-to-market strategy in the digital age. In its superlative form, everything a company does from marketing, sales, operations, development and support is driven by and through the product. The goals are to make products easier to acquire, onboard, use and achieve quick time to value. The product-led growth market strategy revolves around the user and is best geared toward engaging with smaller accounts rather than large enterprise companies.
You’ve heard that old Chinese proverb that says a journey of a thousand miles begins with a single step. It’s sound advice … except if the journey you’re talking about is the one from the data center to the cloud. With cloud deployment at the center of virtually any digital transformation effort, the journey itself can have a profound impact on the successful outcomes you seek at the destination. So you have to get it right. But what does that actually mean?
Kubernetes and its various APIs offer a wealth of information for monitoring and observability. In a recent webinar with the CNCF (as well as a whitepaper based on that webinar), Sensu CEO Caleb Hailey goes in-depth into the most-useful APIs for cloud-native observability. In this post, we’ll focus on the Kubernetes Events API — including why it matters and how it can add context for your observability strategy.
SAN FRANCISCO — November 10, 2020 — InfluxData, creator of the time series database InfluxDB, today announced the general availability of the next-generation open source platform for time series data, InfluxDB 2.0. Developers can now ingest, query, store and visualize time series data in a single unified platform, leverage new tools and integrations, and use familiar skills — making it faster and easier than ever to develop and deploy modern time-based applications.
Today, we are proud to announce that InfluxDB Open Source 2.0 is now generally available for everyone. It’s been a long road, and we couldn’t have done it without the amazing support and contributions of our community. This marks a new era for the InfluxDB platform, but it truly is just the beginning. Before we talk about the future, let’s take a look at some of the amazing new capabilities our team has been working on.