Have you checked out Talend's 2019 summer release yet?

Have you had a chance to take a look at Talend’s summer 2019 product release? Our 2019 release has some exciting features that not only will help improve your productivity but will help you scale data projects across your organization. We are all about helping you do your work faster, and we think you’ll find the new features in this latest product release pretty great.


A 360 degree view of the performance, health and security of MongoDB Atlas

We're happy to announce that the MongoDB Atlas app is now available in the Sumo Logic app catalog. MongoDB Atlas is a globally distributed cloud database service and the easiest way to run MongoDB in the cloud. Atlas offers best-in-class automation, built-in security controls, and proven best practices to protect your data and scale your applications.


Serverless Heroes Down Under - Stackery Visits Australia!

Last week I was battling jet lag and this week, an inbox of unanswered emails. But I’m also marveling at the quality of the AWS community all over the world. I had the privilege of speaking at ServerlessDays Sydney the week before last, and along with the amazing conference talks, I also got to see firsthand just how much of the globe is involved in pushing forward serverless using AWS technology and how excited they were to share what they were learning.


Unplanned Work: The Impact on DevOps Teams

Going on call and being awakened at a moment’s notice to put out fires when reputation and revenue are on the line is incredibly stressful. And with DevOps teams under increasing pressure to simultaneously release new products faster while ensuring reliability and quality, burnout is a rapidly growing problem. It’s why #HugOps and empathy are becoming so central to the culture of DevOps.


[Report] The Roadmap To Becoming a Top Performing IT Operations Organization

Digital Enterprise Journal (DEJ) just released their latest market study, The Roadmap to Becoming a Top Performing Organization in Managing IT Operations. DEJ surveyed 900+ organizations to uncover the best practices and capabilities of the top 20% of IT operations teams. The thirty-three-page report uncovers how top performing IT organizations (TPOs) are reaping operational and business benefits in the form of...


Readying Your Cloud Apps for True Performance Tuning

Optimizing cloud apps is a no-brainer. If you can pull it off, you will simultaneously save money and boost performance. At Opsani, we have leveraged neural net and deep reinforcement learning technologies to construct an AI that continually optimizes cloud app performance. It is the perfect tool for any enterprise with cloud-based, medium-to-large applications that clocks a >$5M/yr cloud spend and is moving toward DevOps.


Instrumentation Quality Scores: Guiding You to Better Telemetry Data

So, you’ve just finished setting up a new service. You can now see how it relates to other services and third-party dependencies, and if it’s contributing to latency or throwing errors. And when you deploy your next release, you can see how your service is affected — and how it affects other services across your system. Awesome! But how do you know if your service has been instrumented as well as it could be?


Distributed Tracing: Manual Vs. Automatic

In this article, we look at two different approaches to implementing a distributed tracing solution: Manual and Automatic. We compare the two approaches, look at real-life scenarios, and compare their advantages and disadvantages. We also look at yet another approach that combines the best parts of both manual and automatic solutions – without any of their downsides.


How to apply index lifecycle management policies to APM data in Elasticsearch

Index lifecycle management (ILM) was made generally available in Elasticsearch in 6.7. It enables you to define how your indices should be managed as they age, ranging from hot indices which are actively updated and queried, to cold indices which are no longer updated and seldom queried. Index management actions can be defined on various factors, such as time, shard size, and performance requirements. APM Server built in support for ILM in 7.2, and applies ILM by default starting with 7.3.