Operations | Monitoring | ITSM | DevOps | Cloud

Every evolution in technology starts with the people behind it. So understanding the context, roles, and objectives that gave rise to DevOps — and now DevSecOps — isn’t just an exploration of timing and technology; it’s central to how we define organizational success. In this post, I’ll recap a conversation I had with Gareth Rushgrove, Director of Product Management at Snyk, a cybersecurity platform that helps developers identify vulnerabilities in their applications.

Are you currently using Flux with InfluxDB? Have you written a great Flux function that would be useful to the community? If the answers to these questions are “Yes!”, then I encourage you to contribute your awesome work to Flux, so that others can appreciate you and your work. Today, we’re sharing how you can contribute a custom Flux function in a Third Party Flux Package.

Amid concerns of resource scarcity and increasingly complex resolution processes, service desks are constantly under pressure to deliver more with less. This, in effect, forces service desk managers to drive technicians to resolve requests faster, leading to an unhealthy obsession with numbers. Several service desks are known to regard the number of requests closed by technicians as a good yardstick for their performance.

RethinkDB is a document-oriented database that enables clients to listen for updates in real time using streams called changefeeds. RethinkDB was built for easy sharding and replication, and its query language integrates with popular programming languages, with no need for clients to parse commands from strings. The open source project began in 2012, and joined the Linux Foundation in 2017.

Understanding how your users experience your application is critical—downtime, broken features, and slow page loads can lead to customer churn and lost revenue. Last year, we introduced Datadog Browser Tests, which enable you to simulate key user journeys and validate that users are able to complete business-critical transactions.

We can’t stress enough on the importance of event correlation in network monitoring. Our customers love correlation! For the love of event correlation we’ve published a blog on why modern organizations rely on event correlation. This is the second blog from the correlation series. You might want to read our previous blog before reading this one.

As a cloud project owner, you want your environment to run smoothly and efficiently. At Google Cloud, one of the ways we help you do that is through a family of tools we call Recommenders, which leverage analytics and machine learning to automatically detect issues and present you with optimizations that you can act on.

DevOps engineers always need to check processes, increase work efficiency, and optimize operations. The main part of the work is to improve the quality of the product and set up smooth workflows. That’s why you need to control systems and react to downtime as quickly as possible. One of the best ways to do so is to get timely notifications is Teams DevOps Applications. MS Teams is widely used in many companies, so you probably already have it.

When we graduated Loki into a GA release last year, there were more than 137 contributors who already made more than 1,000 contributions to the project. We also added hosted Loki to the lineup of Grafana Cloud offerings after it proved to be stable internally for our ops cluster, storing 40TB and half a trillion log lines each month. There was, however, one persistent problem that kept surfacing, especially for developers who were writing applications in Go: The regex package was slow.

Amazon Web Services Elastic Load Balancer (AWS ELB) enables websites and web services to serve more requests from users by adding more servers based on need. Unhealthy ELB can cause your website to go offline or slow down dramatically. Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances.