‍Joe Karlsson is a senior developer advocate at SingleStore. SingleStore has a highly scalable SQL database that delivers maximum performance for transactional and analytical workloads, all with familiar relational data structures. Joe collaborates with teams across the company to amplify developers' voices and provide support for multiple audiences. Today, we're going to talk about cross team empathy and why DevRel and DevOps work hand in hand.

This is a short blog post about a pattern that we’ve observed more frequently among some of the large enterprises: the use of AWS S3 as both an observability lake and a data bus. AWS S3’s simple API, ubiquitous language support, unmatched reliability and durability, retention options, and numerous pricing plans have made it the de facto standard for storing massive amounts of data.

In this post, we’ll walk through our journey of launching Cribl LogStream Cloud on AWS Graviton instances. In order to put our journey into perspective, it is worth spending a few moments to describe the product and its resource requirements.

In 2019 Salesforce announced the general availability of Real-Time Event Monitoring (RTEM) which includes 19 different events that help monitor & secure your Salesforce data. Real-Time Event Monitoring stores events for 6 months as Salesforce Big Objects and streams events via Salesforce’s Streaming API in near real-time.

Technology environments are rapidly evolving as organizations look to remain competitive, accelerate innovation and make themselves more agile. But in the process, many of the observers, i.e., stakeholders who track infrastructure and application metrics, are falling behind, unable to monitor and manage modern, cloud-native apps and multi-cloud environments due to the complexity that comes with them.

In this episode of the Stream Life Podcast, Nick Heudecker and Ed Bailey look at SaaS security platforms and managed security providers and how they’ve grown over time. They look at the benefits the model brings to organizations, how it is growing across the world, the challenges it can also bring, and the questions you should be asking your vendors.

Logz.io has dedicated itself to encouraging and supporting cloud-native development. That has meant doubling down on support for AWS and Azure, but also increasing our tie-ins with Google Cloud Platform – GCP. Recently, our team added dozens of new integrations for metrics covering the gamut of products in the GCP ecosystem.

Like many cool tools out there, this project started from a request made by a customer of ours. Having recently migrated to our service, this customer had ~30TB of historical logging data. This is a considerable amount of operational data to leave behind when moving from one SaaS platform to another. Unfortunately, most observability solutions are built around the working assumption that data flows are future-facing.

Kubernetes management can be daunting for developers who don’t have specialized understanding of the orchestration technology. Learning Kubernetes takes practice and time, a precious commodity for devs who are under pressure to deliver new applications. This post provides direction on what you need to know and what you can skip to take advantage of Kubernetes. Let’s start with five things you need to know.

In the tech industry, we obsess over the latest and greatest. When it comes to observability, we’re always looking at the most advanced hardware, the enthusiasts’ favorite systems, and the tech venture capital trends to get an idea of what to build for next. observIQ is no exception.