Operations | Monitoring | ITSM | DevOps | Cloud

Elastic on Amazon Web Services (AWS) gives you the power of Elastic Enterprise Search, Elastic Observability, Elastic Security as well as the Elastic Stack. You can quickly and easily search your environment for information, analyze data to observe insights, and protect your technology investment. Elastic Cloud lets you deploy your way, whether as a managed service or with orchestration tools you manage in the cloud.

We are excited to partner with AWS in launching Amazon EKS Distro (EKS-D), the official Amazon Kubernetes distribution, which includes the same secure, validated, and tested components that power Amazon EKS. Splunk Infrastructure Monitoring provides a turn-key, enterprise-grade Kubernetes monitoring solution for Amazon EKS. Additionally, Splunk Infrastructure Monitoring provides out-of-the-box monitoring of Kubernetes Control Plane.

MySQL is the de facto choice for open-source relational databases, and you should learn how to use MySQL database logs to improve efficiency and security. As an open-source product, it is free to use and has a large and active developer community. It is crucial to understand how to diagnose and monitor the performance of a MySQL instance in the long run. Logs to the rescue!

As software is evolving away from monoliths and towards service-based architectures, it is becoming more apparent than ever that logging performance needs to be a first-class consideration of our architectural designs. This article will explore how to build and maintain a logging solution for a microservice-oriented containerized application, how to address some common difficulties which come with running such a solution, plus some tips for debugging and eliminating bottlenecks.

The Internet of Things (or, IoT) is an umbrella term for multiple connected devices sharing real-time data, and IoT logging is an important part of this. Troubleshooting bug fixes, connection problems, and general malfunctions rely heavily on logs, making them an invaluable asset not only in designing systems but also in system maintenance. To maximize system potential, this plethora of generated data needs to be managed efficiently.

Python introduced support for type hints in Python 3.5 via PEP 484, allowing tools like Mypy and Pyright to check your Python code for type conflicts before execution. This also helps tools that provide code auto-complete — like IDE, IPython, and Jupyter Notebooks — by providing a complete function signature, even for functions that are generated on import time like the Elasticsearch Python client.