As an engineer who has set up logging for more than one deployment or environment, you know that you usually have one logging account per deployment. You’ve got plenty of pre-created queries, graphs, and alerts set up specific for your company’s use case, all of which are vital to you knowing the health of your infrastructure. Now imagine being responsible for creating and maintaining logging accounts across 10+ deployments.
Screens display a series of widgets that you can use to share across your organization. Widgets can display your log activity, from the number of logs ingested in the last 4 hours, to a line graph comparing today’s logs to yesterday’s logs. You can control the data you want to display by creating a “Screen” with a combination of different widgets. Post your screen on a company monitor to provide your organization with a snapshot of your system’s activity.
You know what they say: you can’t fix what you can’t find. That’s what makes log management such a critical element in the DevOps process. Logging provides key information for software developers on the lookout for code errors. While working on their third startup in 2013, Chris Nguyen and Lee Liu realized that traditional log management was wholly inadequate for addressing data sprawl in the modern, cloud-native development stack.
IBM Cloud Log Analysis with LogDNA enables you to quickly find the source of issues and gain deeper insight into application and cloud environment data. IBM Cloud logging begins with log aggregation from application and services within IBM Cloud. IBM partners with LogDNA to bring collection, log tailing and blazing fast log search. LogDNA supports integrations to many cloud-native runtimes and environments.
Massively scaling free-text search has always been the holy grail in big data. Many software firms now face the burgeoning challenge of searching through previously untapped data sources and the current trend is far surpassing the petabyte scale. Here at LogDNA we manage free-text search for thousands of customers with distinct traffic profiles across a multitude of Elasticsearch clusters.
Earlier today, LogDNA was named a Rising Star in connection with the Forbes 2019 Cloud 100 list. The list, which is published annually by Forbes in partnership with Bessemer Venture Partners and Salesforce Ventures, is their assessment of the top 100 private cloud companies in the world. Wow. It’s incredible to write that.
Kubernetes has fundamentally changed the way we manage our production environments. The ability to quickly bring up infrastructure on demand is a beautiful thing, but along with it brings some complexity, especially when it comes to logging. Logging is always an important part of maintaining a solid running infrastructure, but even more so with Kubernetes. Because Kubernetes clusters are constantly being spun up, spun down, always in flux, making sure logging functions correctly is critical.
As a student, developing your software engineering skills is about continuous learning and practice. When building software in the real-world, developers are expected to be proficient with a variety of tools and stacks. Internships, class and personal projects provide great opportunities for students to gain the experience needed to become more effective.
Single sign-on (SSO) is an authentication model designed to let users access different applications, services, and resources using a single set of credentials. Instead of having multiple user accounts for different applications, users are assigned a single centralized account that is used to authenticate with each application. This makes it more convenient for users to authenticate, while also making it easier for IT administrators to manage multiple accounts.
Logspout is an open source log router designed specifically for Docker container logs. If you’ve ever looked into log management for Docker, chances are you’ve heard of it. Logspout is a container that collects logs from all other containers running on the same host, then forwards them to a destination of your choice. This lets you send logs to an HTTP/S server, syslog server, or other endpoint without having to monitor files or modify your host systems.
