Operations | Monitoring | ITSM | DevOps | Cloud

Keeping track of your project-related activities can be an overwhelming task. With so many projects, tickets, users, and deployments happening simultaneously, having a clear and simple high-level overview of your entire organization is a very welcome addition to any team. That’s why we’ve created our Weekly Organization Activity Reports which will help to keep you on top of changes across various Projects within your organization.

Apache Cassandra is a highly scalable, open source NoSQL database system designed to handle large amounts of data across multiple commodity servers with no single point of failure. Apache Cassandra can be run as a single node but starts making sense when its run in a cluster setup. The system is optimized for high write throughput and is known for its ability to handle big data workloads with ease at super-low latencies.

In 2021, we started Request Metrics as a simple and developer-friendly service to measure and improve web performance. We built an incredible platform that distilled complex data down into simple reports and recommendations. Lots of teams around the world found valuable insights in Request Metrics that they couldn’t get anywhere else. But web performance data can be very unpredictable—the web slows down in all sorts of ways.

It is not always possible or necessary for an organization to rely solely on cloud resources. For example, requirements might call for on-premises infrastructure for privacy reasons. Alternatively, some organizations might use both on-premises infrastructure and public cloud services provided by companies like AWS, Azure, or Google.

It’s almost impossible to create an optimized cloud system out of the gate and keep it running at a perfect balance over the long term. There’s almost always something that could benefit from some tweaks and adjustments. Cloud costs have a way of creeping up slowly while you’re not paying attention. And if you’re not careful, they can spiral out of control before you realize anything is happening.

Root cause analysis (RCA) is a systematic approach to defining symptoms, identifying contributing factors, and repairing faults when problems arise. The process can be applied to virtually any problem in any industry, from NASA’s Apollo 13 mission to everyday tech problems that happen within modern IT departments.

Four years ago tomorrow, our team rang the bell to open the NYSE for PagerDuty’s IPO. We spent two weeks traveling to meet hundreds of prospective investors in person, sustained by a diet of Cheetos and green M&Ms, sneaker-clad walks to meetings, and unwinding with bad karaoke. We’ve grown in many ways in our first four years as a public company. We have more than doubled the number of customers on the PagerDuty platform, and nearly tripled the number of users.

Has your network been bitten by the jitterbug? Are you tired of your network dancing the jitterbug? Do you find yourself constantly tapping your foot waiting for pages to load or downloads to finish? Network jitter is your network's biggest enemy when using unified communications and real-time apps like IP telephony, video conferencing, and virtual desktop infrastructure. Troubleshooting and measuring jitter helps you avoid sounding like a robot on video calls.

At Qovery, we understand the importance of transparency when it comes to pricing, especially for our customers who rely on our services to power their applications. One of the most frequently asked questions we receive is about our billing system, the meaning of "Active Developers," and how we adjust pricing based on usage.

Data pipelines are the backbone of Machine Learning projects. They are responsible for collecting, storing, and processing the data that is used to train and deploy machine learning models. Without a data pipeline, it would be very difficult to manage the large amounts of data that are required for machine learning projects.