Coralogix can be configured to automatically and dynamically archive logs to an S3 bucket. This saves Coralogix customers money, but of course there are times when the data needs to be reindexed. This operation counts the reindexed logs against the daily quota. Many times customers would like to search and focus on the exact logs to be reindexed or even query the logs outside of Coralogix all together.

With DigitalOcean Monitoring, you can collect metrics for visibility, monitor Droplet performance, and receive alerts when problems arise in your infrastructure. Many users often want to extend this infrastructure monitoring with application-level monitoring. This means debugging issues requires expertise, familiarity with your product and infrastructure, and often the involvement of many people in various fields—all to chase down a single problem.

A cloud-first strategy can feel like a big jump from traditional setups. One of the benefits of a hybrid or on-premises strategy is you feel like you’re in control. You and your team know where your critical servers live. You can touch them. Your team understands your security processes, and you can easily verify security personnel follow them. Those are all significant benefits. However, a growing number of software teams are choosing to move to cloud-first strategies.

At Illuminate, Genesys Cloud principal architect Kal Patel shared how they use Sumo Logic, how they manage it at scale, and some of the lessons they’ve learned in the last year.

Today I’m happy to announce that observIQ’s Stanza Log Agent will become a key part of the OpenTelemetry project. This has been in the works for many months and the team at observIQ is thrilled to see it becoming a reality. We’re particularly pleased to see it happening just as we launch our log management platform which will be the first platform to take full advantage of the log agent technology now incorporated into OpenTelemetry.

At Sumo Logic, we’re dealing with a large amount of data. To help our customers explore the data quickly and effectively, our product lets them write Logs, Metrics, and Tracing queries. One of the challenges we dealt with recently was improving the query building experience in our new, revamped Metrics UI.

Even before new hybrid workforce models, many companies already moved a lot of services to the cloud. COVID-19 digital transformation strategies instantly increased the number of access points and endpoints. This led to a rapid increase in event log data followed by all kinds of other issues -- performance, availability, security, and ultimately increased IT costs amongst other things. A centralized log management solution for your cloud environment can help you manage the above and more.

In a previous post, we went through a few input plugins like the file input plugin, the TCP/UDP input plugins, etc for collecting data using Logstash. In this post, we will see a few more useful input plugins like the HTTP, HTTP poller, dead letter queue, twitter input plugins, and see how these input plugins work.

So you've set up a Google Cloud Logging sink along with a Dataflow pipeline and are happily ingesting these events into your Splunk infrastructure — great! But now what? How do you start to get meaningful insights from this data? In this blog post, I'll share eight useful signals hiding within Google Cloud audit logs that will help you uncover meaningful insights. You'll learn how to detect: Finally, we’ll wrap up with a simple dashboard that captures all these queries in one place.