Operations | Monitoring | ITSM | DevOps | Cloud

Serverless Monitoring: Logs, Metrics & Traces with AWS Lambda

I’ve been primarily a Javascript developer for a long time now, it’s been my go-to language for the better part of a decade now, I even wrote a post on how to implement observability in a traditional Node.js application. Now, on top of hacking around in JS, I also love building things for AWS Lambda which is AWS’s option for Functions-as-a-Service.

We have open-sourced our deployment engine

After months of hard work with our team of 6. We're glad to announce that our deployment engine is now open-source. Now it's time and possible to contribute. Qovery engine is still under development, but more than 600 developers and dozens of successful companies use our Engine for 11 months through Qovery.

5 key benefits of using an IP scanner

In todays IP-centric world, it’s becoming increasingly complex to support network-intensive adaptations like cloud adoption and bring your own device (BYOD) polices. As an IT admin, you’re responsible for scanning and tracking your IP resources to ensure that network devices and end users can be allocated unique IP addresses to access your network.

Datadog's KubeCon 2020 guide

The CNCF’s KubeCon North America 2020 is the premier event for adopters and technologists to learn about and work with the Kubernetes community—and it’s coming up in just a few days. With so much to do and learn within a short period of time, it can be challenging to know where to focus your time. Now that we’re living in an age of all-virtual conferences, that challenge has only increased.

Manage CloudFront real-time logs in Datadog

Amazon CloudFront is a content delivery network (CDN) that minimizes latency by caching your content on AWS edge locations around the world. With CloudFront real-time logging, you can understand how efficiently CloudFront is distributing your content and responding to requests. You can collect CloudFront real-time logs in Datadog—in addition to CloudFront metrics—to get deep visibility into the health and performance of your CloudFront distribution.

Monitor MarkLogic with Datadog

MarkLogic is a multi-model NoSQL database with support for queries across XML and JSON documents (including geospatial data), binary data, and semantic triples—as well as full-text searches—plus a variety of interfaces and storage layers. Customers include large organizations like Airbus, the BBC, and the U.S. Department of Defense. Because MarkLogic can process terabytes of data across hundreds of clustered nodes, maintaining a deployment is a complex business.

Alert Fatigue | Are You a DevOps Zombie?

George Romero’s zombie classic, Dawn of the Dead, is the perfect analogy for a lot like the DevOps experience. Your cluster of services is like your Monroeville Mall. Your safe haven where you live and work for years on end, toiling away at survival. But who are the zombies? The answer isn’t always clear when you’re busy chasing down alerts at 2 AM.

Top Open Source projects for SREs and DevOps

Building scalable and highly reliable software systems is the ultimate goal of every SRE out there. Follow the path of continuous learning with the help of our latest blog which outlines some of the most sought out open source projects in the monitoring, deployment & maintenance space. The path to becoming a successful SRE lies in continuous learning.

How to Use Monitoring Analytics for Data-Driven Decision Making

Data-driven decision-making is a method based on identifying and analyzing critical metrics and figures to gain insights about key issues and produce a workable solution. An essential aspect of this decision-making process is monitoring analytics that serves to quantify the performance of interconnected systems and resources for enhanced performance visibility and informed decision-making.

Layer 4 and Layer 7 Proxy Mode

HAProxy can run in two different modes: TCP or HTTP. When operating in TCP mode, we say that it acts as a layer 4 proxy. In HTTP mode, we say that it acts as a layer 7 proxy. To understand the difference, you must first learn about the Open Systems Interconnection (OSI) model, which helps IT pros conceptualize and explain where a piece of software fits in the context of a computer network.