Operations | Monitoring | ITSM | DevOps | Cloud

See the Forest from Your Logs | IBM Logging Solution Log Analysis with LogDNA

IBM Log Analysis with LogDNA is an IBM Cloud service that provides hosted log management using LogDNA. It lets you collect, analyze, and manage logs in a central location without having to provision or maintain your own logging solution. You can forward logs from your IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. In addition, you can leverage the IBM Cloud to manage the service, set access controls via IAM, and even archive older logs to IBM Cloud Object Storage. When you provision an IBM Log Analysis with LogDNA instance, you get access to a LogDNA endpoint and web UI hosted on the IBM Cloud. Your logs are stored on the IBM Cloud itself, allowing you to colocate your logging service and applications for greater throughput and control. You get the full benefits of LogDNA—including fast log ingestion and searching, over 30 integrations and ingestion sources, and support for dozens of log formats—with the security and convenience of the IBM Cloud.

LogDNA | Log Management for the Kubernetes Age

LogDNA is a modern log management solution that empowers DevOps teams with the insights that they need to develop and debug their applications with ease. Users can get up and running in minutes, see logs from any source instantly in Live Tail, and effortlessly search them with natural language. Custom Parsing, Views, and Alerts put users in control of their data every step of the way.

IBM Log Analysis with LogDNA

IBM Log Analysis with LogDNA enables you to quickly find the source of issues and gain deeper insight into application and cloud environment data. Easily aggregate and search application, and server logs within a single platform. Forward logs from IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. IBM Log Analysis with LogDNA is trusted by teams like IBM Cloud, The Weather Company, and IBM Watson.

Moving AWS Glue jobs to ECS on AWS Fargate led to 60% net savings

Last month, our team published a blog post titled How we reduced the AWS costs of our streaming data pipeline by 67%, which went viral on HackerNews (Top 5). Clearly, developers are hungry to learn about new AWS cost-saving strategies. We’ve had a lot of questions about AWS cost optimization stemming from the original post. However, this question from Carl at Klarna inspired us to write another post. So without further delay, here’s how we approached the problem and made the switch.

Updated Puppet GPG signing key, 2020 edition

Editor's note: This change to the GPG signing key affects both Puppet Enterprise users and open source Puppet users. If you're using Puppet Enterprise, you'll be getting the new key in an upcoming release, or if you manually update your version of puppet-agent, you'll get it then. Thanks to Morgan Rhodes (@KnittyNerd) for all the technical details for this blog post.

Upcoming Icinga Web feature: Rememberme

We always welcome feedback from you to make Icinga even better. Many Icinga users have expressed the opinion that they would like to have a rememberme checkbox on the login page of Icinga Web so that they don’t have to log in every time they visit Icinga Web We have worked on this new feature especially during the Home-Office and plan to release it in the next release of Icinga Web.

Tagging 101: Basics & How to Implement a Comprehensive AWS Tagging Strategy

As cloud environments grow and evolve more rapidly than ever, and with new cloud services emerging every day, achieving and maintaining a high level of organization across hundreds of resources and global teams can seem like a daunting task. However, it’s not impossible, and can be done through tagging. This post will cover the fundamentals of tags, as well as a comprehensive roadmap to developing a tagging strategy.

Searching Jira: Enhanced productivity with Elastic Workplace Search

Jira has long been a popular issue tracking tool for development teams, but its scope has broadened quite a bit over the years, and it has bloomed into a more well-rounded project management tool as well. It’s used widely by agile teams to plan, track, and release software, along with numerous other cloud (and traditional self-managed) productivity tools.