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Apr 8, 2020   |  By Gedalyah Reback
Logging is a feature that virtually every application must have. No matter what technology you choose to build on, you need to monitor the health and operation of your applications. This gets more and more difficult as applications scale and you need to look across different files, folders, and even servers to locate the information you need. While you can use built-in features to write Python logs from the application itself, you should centralize these logs in a tool like the ELK stack.
Apr 7, 2020   |  By Mike Elsmore
This blog post will pit Grafana vs Graphite against each other, two of the most popular observability tools on the market today. R&D organizations typically implement a wide technology stack. They include varying services, systems, or tools to support their production and development environments. Most, if not all, of these companies have SLAs requiring R&D to provide high availability solutions and the ability to respond to incidents in real time.
Apr 6, 2020   |  By Arie Fishler
Even though search is the primary function of Elasticsearch, getting search right can be tough — and sometimes even confusing. To retrieve your data in the most efficient way from Elasticsearch, sometimes you’ll need to overcome some Lucene’s obstacles. While you need to familiarize yourself with Lucene Query Syntax for advanced Kibana use, Lucene’s implementation within Elasticsearch still has some challenges.
Apr 2, 2020   |  By Gedalyah Reback
Microservices and containers have taken the tech industry by storm. Kubernetes is one of the tools that has evolved to manage these new aspects of software development. It is an open-source system for automating deployment, scaling, and management of containerized applications. One of the biggest challenges that organizations face when adopting Kubernetes is performing monitoring tasks in this dynamic environment.
Apr 2, 2020   |  By Gedalyah Reback
Amazon Elastic Compute Cloud (a.k.a., EC2), is no doubt the core current computing infrastructure. It sits at the heart of AWS, the main kind of structure for housing virtual machines and containers for development and operations. Applying standards of observability with EC2 logs and obviously EC2 metrics will inform you on if you have the right sorts of instances in place (and the appropriate size of those instances).
Apr 2, 2020   |  By logz.io
DevOps teams monitor their logs, metrics, and traces to identify and troubleshoot production issues in their Azure environments. But as they add new microservices, the scale and variety of telemetry data quickly becomes overwhelming. Learn how the Logz.io Observability Platform simplifies monitoring by providing the open source tools engineers prefer on a single, integrated platform purpose built for monitoring distributed cloud workloads.
Mar 31, 2020   |  By logz.io
Mar 26, 2020   |  By logz.io
Logz.io is a Cloud Observability Platform that helps engineering teams quickly identify and resolve production issues using the best open source for metrics and log monitoring available: Elk and Grafana. In this webinar, one of the engineers who built the product, Roi Ravhon, showed how the Logz.io engineering team uses Logz.io to deliver more reliable, performant, and secure services to our customers.
Mar 12, 2020   |  By logz.io
Secure your distributed cloud workloads with simplified, DevOps-native threat detection and security analytics.