Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes work queues are a great way to manage the prioritization and execution of long-running or expensive menial tasks, such as processing large volumes of employee migration to a new system, ranking and sorting all the planets in the universe by Twitter tags, or even post-processing every frame of the latest Avengers movie.

Elastic Cloud puts the power of the Elastic Stack in your hands within minutes. Whether you’re trying to add search capabilities with Elastic Enterprise Search, monitor critical systems and applications with Elastic Observability, or protect your organization from cyber threats with Elastic Security, taking the first step is easy.

When you’re troubleshooting an app or a deployment, every second counts! Cloud Logging helps you troubleshoot by aggregating logs from across Google Cloud, on-premises or other clouds, indexing, aggregating logs into metrics, scanning for unique errors with Error Reporting and making logs available for search, all in less than a minute. And now, we’ve built two new features for streaming logs to give you even fresher insights from your logs data.

We created the Elastic Contributor Program to encourage knowledge sharing in our community and to recognize and reward the hard work of our awesome contributors. There are six different contribution types accepted in the program: event organization, presentation, written content, video, translation, and code. In this blog post, we’ll cover how to contribute code in the many free and open projects that Elastic maintains.

With almost every blog you read about monitoring, troubleshooting, or more recently, the observability of modern application stacks, you’ve probably read a statement saying that complexity is growing as a demand for more elasticity increases which makes management of these applications increasingly difficult. This blog will be no exception, but there’s a good reason for that: we just enabled the first Sumo Logic customers with powerful new tools to tackle these exact challenges.

With 2020 dominated by a global pandemic, organizations expedited their digital transformation strategies. (According to TechFirst podcast, COVID19 accelerated digital transformation by an average of 6 years.) One of the most significant changes was the rapid move to a remote workforce. This required stopgap measures to keep the business running. While these measures met the company’s immediate needs, the measures also introduced anticipated and unanticipated issues.

In my ongoing Loki how-to series, I have already shared all the best tips for creating fast filter queries that can filter terabytes of data in seconds. In this installment, I’ll reveal how to correctly escape special characters within a string in Loki’s LogQL. When writing LogQL queries, you may have realized that in multiple places you have to write strings delimited by double quotes.

This article was originally published on InfoQ at December 3rd 2020. If you’ve migrated from a monolith to a microservices architecture you probably experienced it: Modern systems today are far more complex to monitor. Microservices combined with containerized deployment results in highly dynamic systems with many moving parts across multiple layers.

Increasingly, we are seeing on-prem workloads being moved onto the cloud. Elasticsearch has been around for many years with our users and customers typically managing it themselves on-prem. Elasticsearch Service on Elastic Cloud — our managed Elasticsearch service that runs on Amazon Web Services (AWS), Google Cloud, and Microsoft Azure across many different regions, is the best way to consume the Elastic Stack and our solutions for enterprise search, observability, and security.