Operations | Monitoring | ITSM | DevOps | Cloud

In a recent conversation on our SigNoz community Slack, a user shared their query that asks a deceptively simple question: what is the average time between two spans in a trace? The usefulness of this answer is evident if you think about how often the total trace time does not highlight the time you care about most. This could mean any number of things: that the total trace time of handling a web request might include lots of spans after a satisfying response was sent to the user.

While Coralogix Remote Query is a solution to constant reingestion of logs, there are few other options today that also offer customers the ability to query unindexed log data. For instance, DataDog has recently introduced Flex Logs to enable their customers to store logs in a lower cost storage tier. Let’s go over the differences between Coralogix Remote Query vs Flex Logs and see how DataDog compares. Get a strong full-stack observability platform to scale your organization now.

With the release of InfluxDB 3.0, one of the big questions is: how does it compare to previous versions of InfluxDB? We have begun benchmarking InfluxDB 3.0 with production workloads to start giving users more insight into the benefits of adopting InfluxDB 3.0. In this post, we look at recent benchmarks comparing InfluxDB 3.0 to InfluxDB Open Source (OSS) 1.8.

In case you missed it, HAProxy Technologies recently put out a press release about our stunning leadership position in G2’s Summer 2023 Grid® Reports for load balancing. We’re incredibly proud of these results, which are a direct result of the hard work and dedication of HAProxy’s community developers and our enterprise product and support teams. Looking at the Momentum Grid® Report for Load Balancing, the gap between HAProxy and the rest is impossible to ignore.

While information technology continues to evolve rapidly, virtualization remains a cornerstone of modern computing, enabling businesses to maximise resource utilisation, enhance flexibility, and reduce the total cost of ownership (TCO). It is a key building block of the cloud computing paradigm, and millions of organisations use it daily worldwide. All existing cloud platforms, such as AWS, Azure, Google or OpenStack, use virtualization underneath.

When we launched the Checkly CLI and Test Sessions last May, I wrote about the three pillars of monitoring as code. Code — write your monitoring checks as code and store them in version control. Test — test your checks against our global infrastructure and record test sessions. Deploy — deploy your checks from your local machine or CI to run them as monitors.

In Part 1 of this series, we introduced you to the key metrics you should be monitoring to ensure that you get optimal performance from CoreDNS running in your Kubernetes clusters. In Part 2, we showed you some tools you can use to monitor CoreDNS. In this post, we’ll show you how you can use Datadog to monitor metrics, logs, and traces from CoreDNS alongside telemetry from the rest of your cluster, including the infrastructure it runs on.

In Part 1 of this series, we looked at key metrics you should monitor to understand the performance of your CoreDNS servers. In this post, we’ll show you how to collect and visualize these metrics. We’ll also explore how CoreDNS logging works and show you how to collect CoreDNS logs to get even deeper visibility into your Deployment.

CoreDNS is an open source DNS server that can resolve requests for internet domain names and provide service discovery within a Kubernetes cluster. CoreDNS is the default DNS provider in Kubernetes as of v1.13. Though it can be used independently of Kubernetes, this series will focus on its role in providing Kubernetes service discovery, which simplifies cluster networking by enabling clients to access services using DNS names rather than IP addresses.

The integration with popular collaboration platforms like Microsoft Teams and Slack marks a pivotal advancement in security workflows. We are introducing new capability to post events from Flowmon ADS into Teams channel or Slack to instantly notify security teams. Integrations scripts are based on simple webhooks and available out of the box on our support portal both for Teams and Slack.