Operations | Monitoring | ITSM | DevOps | Cloud

With the rapid adoption of cloud, distributed systems and microservices are standard, resulting in increasingly complex environments. Once straightforward troubleshooting workflows have become chaotic, frustrating, and time-consuming. When something breaks, multiple teams are called to the table to prove they’re “not it”; each with their singular view of the problem.

What do the gauges on your car, the jumbotron at a stadium, and Splunk Observability Cloud all have in common? They all show you the important information to know how something is performing. We all know what to look for in the first two examples.

Welcome to Day 1 of the software development life cycle — what now? We’ve already covered Day 0 server provisioning, and you should be ready to start writing code that will support your DevOps initiatives and make your life easier …or are you? Put some of our wisdom and experience at work for Day 1 of the software life cycle, and make sure you’re fully prepared to handle common pitfalls and problems that can become ongoing issues for Day 2.

Empty spaces, what are we searching for? Abandon queries, but do you know the score? On and on, Does anybody know what we are looking for? … Inspired by “The Show Must Go On”, Queen. Since we launched Cribl Search back in late 2022, we’ve been hard at work on adding features and functionality that continue to empower data engineers to do more with their data without needing to collect it first.

As an AWS user, you know how important it is that your organization understands what you’re spending and why. AWS is a tremendously powerful resource, and when you have complete visibility into the cost efficiency of your AWS environment, you can use it to remove many of the scaling obstacles that companies faced in the past.

The first step to making reliable IoT devices is understanding that they are inherently unreliable. They will never work 100% of the time. This is partially because we firmware engineers will never write perfect code. Even if we did, our devices need to operate through various networks and gateways, such as cellular modems, mobile phone Bluetooth applications, Wi-Fi routers, cloud backends, and more, and each of these may introduce unreliability.

Government agencies and public sector organizations are a tantalizing hacker target. Cybercriminals go after public sector organizations because they hold confidential, often classified, information – the exact data state-sponsored and other criminal groups salivate over. The Cybersecurity and Infrastructure Security Agency, or CISA, along with the United States Computer Emergency Readiness Team, or CERT, have warned public sector IT of key threats.

The Datadog Service Catalog is a centralized hub of information around the performance, reliability, security, efficiency, and ownership of your distributed services. By using the Service Catalog, teams can eliminate knowledge silos and realize seamless DevSecOps workflows.

In our last blog, we outlined why now is the perfect time for MSPs to embrace co-managed services and discussed why this approach represents a strategic leap forward for them in an era where adaptability and partnership are the keys to success.

There are plenty of excellent platforms and tools available to fuel digital transformation. Increasingly, too, they’re a low-code or no-code solution: a suite of software that can build automation, analytics & applications from the ground up without extensive development skills. These tools level the playing field for businesses that want to automate unique processes, gather data and improve their customer and employee experiences.