One of the biggest KPIs in the DevOps space is monitoring. There are so many tools to help any organization to complete their monitoring picture, but no tool does everything and most organizations use many tools to help complete their monitoring solution. Mashing tools together often creates a problem of its own — the tool sprawl problem.
Access Gartner’s exclusive research report to find out how AIOps—when used together with APM—plays a pivotal role in driving better business outcomes.
It’s time for change – my first insight from GartnerIO, 2018. During my flight to Vegas I remembered that this was probably my 15th visit to a conference in Vegas (but who can really count…after a few, it all starts to blur together). What I do remember though is that, in each of these conferences, there was one very shiny buzzword. The reason I remember this so well is because, while everyone agreed on what the buzzword was, there was no consensus on what that word meant!
We read with interest a recent article from CloudBees published in The New Stack: How Culture Will Make or Break Cloud Native DevOps and have seen some highly differing views on where the adoption of DevOps is. The Cloudbees article starts by saying that “Software delivery cycles are becoming faster thanks to DevOps-backed continuous integration/continuous delivery (CI/CD) as production pipelines are increasingly ported to scale with microservices on cloud-native environments.”
You asked and we delivered; you and other customers requested a solution that would integrate alert management into Datto’s Autotask PSA capabilities. We at OnPage are excited to announce that this MSP solution is now a reality.
LogicMonitor is an agentless monitoring solution. What we really mean by “agentless” is that we don’t require an agent on every monitored server (physical or virtual). One LogicMonitor Collector - a lightweight application that takes just seconds to install - can monitor hundreds or even thousands of devices, including servers, virtual machines, network switches, storage systems, cloud resources, containers, and more.
Picture boring a new subway tunnel while the city above you goes on about its business, oblivious to the machinations under the surface. That’s pretty much the project we completed earlier this year. Only we were working in the cloud.
AWS Lambda can use stream based services as invocation sources, essentially making your Lambda function a consumer of those streams. Stream sources include Kinesis Streams and DynamoDB streams. When you allow streams to invoke your Lambda function, Lambda will emit a CloudWatch metric called IteratorAge. In this post, we discuss what this metric is and how to fix it if it’s too high.
Over the last decade, cloud computing has revolutionized the way we handle and store data, which has, in turn, paved the way for greater innovations in technology. What can we expect from cloud computing as the technology advances?
