Operations | Monitoring | ITSM | DevOps | Cloud

Logging for Kubernetes: fluentd and ElasticSearch

This article will focus on using fluentd and ElasticSearch (ES) to log for Kubernetes (k8s). This article contains useful information about microservices architecture, containers, and logging. Additionally, we have shared code and concise explanations on how to implement it, so that you can use it when you start logging in your own apps. ‍Useful Terminology.

Filebeat Configuration Best Practices Tutorial

In this post, we will cover some of the main use cases Filebeat supports and we will examine various Filebeat configuration use cases. Filebeat, an Elastic Beat that’s based on the libbeat framework from Elastic, is a lightweight shipper for forwarding and centralizing log data. Installed as an agent on your servers, Filebeat monitors the log files or locations that you specify, collects log events, and forwards them either to Elasticsearch for indexing or to Logstash for further processing.

5 Ways to Improve Your Dev Team Velocity

Velocity, much like the pulse rate or oxygen level of an individual, is an important measure of health for your development team. A low velocity score for recent sprints limits your team's options for delivering value. Sustained failure to deliver to stakeholders can erode trust with those stakeholders quickly. But how do you know exactly what your velocity is and how you can improve it?

How We Used JMH to Benchmark Our Microservices Pipeline

At LogicMonitor, we are continuously improving our platform with regards to performance and scalability. One of the key features of the LogicMonitor platform is the capability of post-processing the data returned by monitored systems using data not available in the raw output, i.e. complex datapoints. As complex datapoints are computed by LogicMonitor itself after raw data collection, it is one of the most computationally intensive parts of LogicMonitor’s metrics processing pipeline.

Using Log Data to Prevent Lambda Cold Starts

AWS Lambda enables you to run serverless functions in the AWS cloud, by manually triggering functions or by creating trigger events. To ensure your Lambda functions are running smoothly, you can monitor metrics that measure performance, invocations, and concurrencies. However, even if you continuously monitor, once in a while you are going to run into what’s termed a Lamba cold start. There are various ways to prevent AWS Lambda cold starts.

Overcoming VPN bandwidth and capacity complications using Firewall Analyzer

As companies move towards a flexible, remote work environment, the demand for VPN services has increased considerably. This need to ramp up VPN infrastructures in such a short time comes with its fair share of operational problems and security concerns. Over purchasing VPN capacity would put a dent in the IT budget while under purchasing would result in loss of productivity.

Splunk Insights EOL: Infrastructure and AWS Cloud Monitoring

Two years ago we introduced Splunk Insights for AWS Cloud Monitoring and Splunk Insights for Infrastructure on the AWS Marketplace as a Pay-As-You-Go Amazon Machine Image, where you could initiate an instance and pay hourly to use these products after a 15-day trial. Assessing our portfolio, we are discontinuing these offerings to focus on differentiating capabilities, namely the ability to search and apply machine learning to your data in addition to visualizing insights.

Serverless Logging Performance, Part 2

When thinking about serverless applications, one thing that comes to mind immediately is efficiency. Running code that gets the job done as swiftly and efficiently as possible means you spend less money, which means good coding practices suddenly directly impact your bottom line. How does logging play into this, though? Every logging action your application takes is within the scope of that same performance evaluation.

Why an OS Monitoring tool is not sufficient for Monitoring VMware and Other Virtualization Technologies

You have management software that you’ve used for your Linux or Windows servers. Can’t you just deploy a Linux agent and monitor a VMware vSphere/ESX server, or a Windows agent to monitor a Microsoft Hyper-V server? This is a very common question that comes up in any discussion on VMware monitoring and virtualization management. After all, when a VMware ESX server boots, the administrator gets to a Linux login prompt and can login to a Linux operating system.