Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

Archiving Is In, And Your Logs Are Here To Stay!

Archiving is in and your logs are here to stay! We develop features that streamline the log management processes for our users. Logs are information assets, and we understand that you need to retrieve, re-asses and draw insights from your historic logs. observIQ offers a simple integration with Amazon Web Services (AWS) for extended retention. It takes less than 30 seconds to set up and archive logs directly to an S3 bucket in your AWS account.

Troubleshoot GKE apps faster with monitoring data in Cloud Logging

When you’re troubleshooting an application on Google Kubernetes Engine (GKE), the more context that you have on the issue, the faster you can resolve it. For example, did the pod exceed it’s memory allocation? Was there a permissions error reserving the storage volume? Did a rogue regex in the app pin the CPU? All of these questions require developers and operators to build a lot of troubleshooting context.

Running Telegraf as Serverless on AWS Lambda for Monitoring Your Cloud

Telegraf is one of the coolest open source agents for collecting metrics. It’s part of the TICK Stack (Telegraf, Influx, Chronograf and Kapacitor) and with Telegraf you can collect metrics from a wide array of inputs and write them into a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable.

New in Loki 2.3: LogQL pattern parser makes it easier to extract data from unstructured logs

Writing LogQL queries to access Loki’s log data just got easier, thanks to the new pattern parser released with Loki 2.3. It makes writing queries for unstructured log formats simple. And the pattern parser can be an order of magnitude faster than the regular expression parser. Let’s take a closer look.

Use log buckets for data governance, now supported in 23 regions

Logs are an essential part of troubleshooting applications and services. However, ensuring your developers, DevOps, ITOps, and SRE teams have access to the logs they need, while accounting for operational tasks such as scaling up, access control, updates, and keeping your data compliant, can be challenging. To help you offload these operational tasks associated with running your own logging stack, we offer Cloud Logging.

Preparing for the Elastic Certified Observability Engineer Exam - Get Elasticsearch Certified

The Elastic Certified Observability Engineer exam tests your knowledge and skills on using the Elastic Stack to implement observability, from ingesting metrics, logs, APM and uptime data to a single data source, to analyzing and reacting to events using Kibana, machine learning, and alerting.

The Evolving World of GitOps and Observability

Is GitOps changing observability as we know it? GitOps has been the buzz word in the DevOps space for several years. GitOps, to those that are not familiar, is an operational methodology for DevOps that leverages a continuous deployment approach with Git as the single source of ‘truth’ for declarative control over both infrastructure and applications.