As your environment grows in scale and complexity, finding faster ways to build rich dashboards and share strategic insights with the right team members becomes more important. To help you easily share data with anyone, anywhere, we are happy to announce that you can now copy and paste widgets within Datadog (across dashboards, Notebooks, and accounts)—and even in emails and other communication channels like Slack.
Every software professional in a leadership role is concerned about the caliber of software that gets into the hands of customers. Questions like, is the new app slow to load? Is it working as it should? Why has churn increased? Are natural consequences of building software, yet we don’t always get the answers we need.
Logs have always been a crucial part of applications, providing insight into an application’s every operation and auditing all of its activities. Yet to date, logs have been used primarily for researching incident details or applicative failures. Only recently have R&D and operations teams started paying closer attention to logs in an effort to identify incidents as they occur and recognize trends that can prevent future pitfalls.
One of the joys of using the Ruby language is the many different ways that you can solve the same problem, it’s a very expressive language with a rich set of libraries. But how do we know which is the best, most efficient, use of the language? When we are talking about algorithms which are critical to the performance of your application, understanding the most efficient approach to take is essential.
AWS Lambda is one of AWS’s most popular cloud services. It allows serverless applications to be built by dividing up an application into functions that can be triggered by changes in your system. Since they are critical to the health of your application, properly monitoring Lambda functions is a top priority for most teams. In this blog post, we will go over how Blue Matador monitors Lambda functions automatically and without configuration. We will cover the following topics:
Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money. Less than a year later, Loki has almost 6,500 stars on GitHub and is now quickly approaching GA.
You probably use many tools to get through the day. Do you ever wonder what tools get other people through their days? In our Tools This Engineer Uses series, we explore the routines, systems, and tools your peers rely on to solve problems and accomplish goals. Liz Krane, Sentry’s new Developer Advocate, is no stranger to meetups. She created and continues to run Learn Teach Code, the second-largest tech meetup in Southern California with over 9,500 members.
Throughout the past few months, I had the opportunity to work with and serve hundreds of Coralogix’s customers, the challenges in performing efficient Log Analytics are numerous, from collecting, searching, visualizing, and alerting. What I have come to learn is that at the heart of each and every one of these challenges laid the challenge of data parsing. JSON structured logs are easier to read, easier to search, alert, and visualize.
Did you know that you can accelerate DevOps workflows in Mattermost using our Jenkins integration? Jenkins is the world’s leading DevOps orchestration and continuous delivery tool. It’s used by more than 1 million people, including the Mattermost team. At Mattermost, our focus is on helping DevOps teams work faster together, and that’s exactly what our deep two-way integration between Mattermost and Jenkins does.
