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AWS Service Observability using OpenTelemetry

Efficient use of observability statistics is essential to any microservice architecture. OpenTelemetry is a project supported by the Cloud Native Computing Foundation (CNCF) to enhance the observability of microservice projects. AWS Distro for OpenTelemetry (ADOT) is an AWS-supported distribution of the OpenTelemetry project specifically designed to improve the observability of AWS projects.

Benefits of Logging Agents

You probably have heard of logging agents, such as Logstash or Fluent Bit, if you’ve been investigating log analysis, monitoring, and observability. If so, and you’re wondering what logging agents are and why you might need them, you’ve come to the right place. This article will look at what logging agents are for, their advantages, and what you can use instead of a logging agent.

4 Different Ways to Ingest Data in AWS OpenSearch

AWS OpenSearch is a project based on Elastic’s Elasticsearch and Kibana projects. Amazon created OpenSearch from the last open-source version of ElasticSearch (7.10) and is part of the AWS system. The key differences between the two are topics for another discussion, but the most significant point to note before running either distribution is the difference in licenses. ElasticSearch now runs under a dual-license model, and OpenSearch remains open-source.

Kubernetes Logging with Elasticsearch, Fluentd and Kibana

Kubernetes, a Greek word meaning pilot, has found its way into the center stage of modern software engineering. Its in-built observability, monitoring, metrics, and self-healing make it an outstanding toolset out of the box, but its core offering has a glaring problem. The Kubernetes logging challenge is its ephemeral resources disappearing into the ether, and without some 2005-style SSHing into the correct server to find the rolled over log files, you’ll never see the log data again.

Proactive Monitoring vs. Reactive Monitoring

Monitoring is a fundamental pillar of modern software development. With the advent of modern software architectures like microservices, the demand for high-performance monitoring and alerting shifted from useful to mandatory. Combine this with an average outage cost of $5,600 per minute, and you’ve got a compelling case for investing in your monitoring capability.

3 Key Benefits to Web Log Analysis

Whether it’s Apache, Nginx, ILS, or anything else, web servers are at the core of online services, and web log analysis can reveal a treasure trove of information. These logs may be hidden away in many files on disk, split by HTTP status code, timestamp, or agent, among other possibilities. Web access logs are typically analyzed to troubleshoot operational issues, but there is so much more insight that you can draw from this data, from SEO to user experience.

Using Synthetic Endpoints to Quality Check your Platform

Quality control and observability of your platform are critical for any customer-facing application. Businesses need to understand their user’s experience in every step of the app or webpage. User engagement can often depend on how well your platform functions, and responding quickly to problems can make a big difference in your application’s success. AWS Canaries can help companies simulate and understand the user experience.

Why is Application Performance Monitoring Important?

Picture this: Your on-call engineer gets an alert at 2 AM about a system outage, which requires the entire team to work hours into the night. Even worse, your engineering team has no context of where the issue lies because your systems are too distributed. Solving the problem requires them to have data from resources that live in another timezone and aren’t responsive. All the while, your customers cannot access or interact with your application, which, as you can imagine, is damaging.