Motadata ITSM Service Desk Walk thru
In this video we will walk you through 4 modules of Service Desk i.e. Incident Management, Problem Management, Change Management and Knowledge Management.
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Log Management, Log Analytics and related technologies.
How to collect, customize, and standardize your Java logs
Logging your Java applications is essential to getting visibility into application performance and troubleshooting problems. But, with a variety of available libraries and configuration options, getting started logging in Java can be challenging.
Monitoring Elasticsearch with Sematext
As shown in Elasticsearch Key Metrics, the setup, tuning, and operations of Elasticsearch require deep insights into the performance metrics such as index rate, query rate, query latency, merge times, and many more. Sematext provides an excellent alternative to other Elasticsearch monitoring tools.
Migrating To A New Log Management System
In a previous post we looked at 6 key considerations to keep in mind when selecting a log management solution: data collection, search experience, scalability, security, advanced analytics and cost effectiveness. Hopefully, you’ve managed to use this list to finally select your solution. What now?
What is Serverless and AWS Lambda?
Serverless computing is a cloud-based application architecture where the application’s infrastructure and support services layer is completely abstracted from the software layer. Any computer program needs hardware to run on, so serverless applications are not really “serverless” - they do run on servers - it’s just that the servers are not exposed as physical or virtual machines to the developer running the code.
Log Management & Log Analyzer - Insights in a few clicks from download!
XpoLog is a fully automated log management tool - automated log collection and parsing! Immediate insights using dozens of out-of-the-box analytic apps - ready to use dashboards and reports, log viewer and advanced log search with filters and apptags. Powered with AI to auto-discover problems and errors, log monitoring and many other tools to access and manage your data.
Logging Kubernetes on GKE with the ELK Stack and Logz.io
An important element of operating Kubernetes is monitoring. Hosted Kubernetes services simplify the deployment and management of clusters, but the task of setting up logging and monitoring is mostly up to us. Yes, Kubernetes offer built-in monitoring plumbing, making it easier to ship logs to either Stackdriver or the ELK Stack, but these two endpoints, as well as the data pipeline itself, still need to be set up and configured.
Rethink Analytics: Don't be fooled by cloud washing
The choices facing today's enterprise executives are far more complex than whether to adopt cloud or not - that is mostly decided. The question is how to do it well. In particular, are the tools they are using to monitor performance and security truly built to run and scale in their cloud environment. Many vendors are "cloud washing" customers by simply adding the word "cloud" to their service offerings without truly being able to deliver on their promises.
Transform to New IT
Discover the New IT operating model, which utilizes AIOps and integrates monitoring, automation and collaboration. Learn how orgs move up the IT maturity curve, and away from traditional, siloed IT.
How to debug your Logstash configuration file
Logstash plays an extremely important role in any ELK-based data pipeline but is still considered as one of the main pain points in the stack. Like any piece of software, Logstash has a lot of nooks and crannies that need to be mastered to be able to log with confidence. One super-important nook and cranny is the Logstash configuration file (not the software’s configuration file (/etc/logstash/logstash.yml), but the .conf file responsible for your data pipeline).