AWS CloudWatch Logs gives you full visibility into your AWS infrastructure, from individual workloads to the services that bind them. Monitoring these logs helps ensure their smooth and continued operation, ongoing stability, and performance. Integrating CloudWatch Logs with LogDNA makes it easier to parse, search, and analyze AWS logs in order to detect anomalies and troubleshoot problems faster.
One question that customers often ask is “why does the LogDNA agent need to run as root?” With IT departments and DevSecOps teams pushing to secure systems against cyberattacks, running a cloud-based logging agent as root sounds like a huge risk. While it’s true that you should avoid running applications as root, there are several reasons why our agent runs as root out of the box and several ways that we reduce your risk of attack.
Searching in LogDNA is designed to be as intuitive and straightforward as possible. Just type in your search terms, and LogDNA will return your results almost instantaneously. For cases where you need to perform a more advanced search, or where you need greater control over your search results, LogDNA provides a number of features that can help you find exactly what you’re looking for.
Logging is an essential part of application development, monitoring, and debugging. There are countless libraries, frameworks, and services for logging backend and server-based applications. But for client-side applications, especially JavaScript-based web applications, it’s a different story. As we see increasingly complex code running on end user devices, the need to log these applications is also becoming increasingly important.
Retention is a crucial factor in adopting a log management solution. For most organizations, 30 days is a perfect balance between having to access historical log data and the high cost of storage. However, some organizations need to retain logs for a much longer period of time, whether it’s to comply with regulations, perform frequent audits, or monitor changes to operations over time.
Source code management (SCM) is a core component of DevOps. In addition to storing and sharing source code, SCM tools maintain an ongoing history of changes. Reviewing this history provides numerous insights into your development process, including: How often code changes are submitted, The impact of changes on application performance, Which changes result in errors, bugs, or broken builds.
The growing threat of attacks and data breaches on IT systems has made security monitoring more crucial now than ever before. Organizations of all sizes face risks to their data, and without the proper tools in place, a single attack could pose a severe threat to your operations.
April was one of our busiest and exciting month of events so far. Here’s a recap of where we were, what we saw and where you can catch us next. While writing this, we are on the road at both DockerCon and Open Infrastructure Summit so if you are there, don’t hesitate to find our pink shirts to meet us and get a demo!
I spoke at Container World 2019 in Santa Clara and shared insights on what LogDNA has learned in scaling Elastic Search using Kubernetes over the years. Here are some highlights from the talk and you can also find the slide deck below.
Recently Amazon launched Open Distro for Elasticsearch, a distribution of Elasticsearch with a number of additional features. The project was created out of concern that Elasticsearch was starting to include proprietary features, and that Elastic was straying from its open source roots.
