Observability first emerged as a focal point of interest in the DevOps community in the 2017 time frame. Aware that business was demanding highly adaptable digital environments, DevOps professionals realised that high adaptability required a new approach to IT architecture. Whereas historically, digital stacks were monolithic or, at best, coarsely grained, the new stacks would have to be highly modular, dynamic, ephemeral at the component level, and spread over multiple cloud-based services.

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.

At Cribl, we give the people what they want. And what they want is to keep their data close to their sources and destinations. The less data has to travel, the better — lower latency and fewer security risks. This commitment to data locality is even more pronounced among our valued customers in the EMEA region, who are enthusiastically embracing cloud-first strategies.

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.

At ScienceLogic, we’ve always believed in the power of innovation and the importance of customer satisfaction. We are excited to announce that we have been honored with the TrustRadius Best of Award in the AIOps category for 2023. This is a testament to our dedication to providing exceptional value, top-notch features, and building enduring relationships with our customers.

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.