Operations | Monitoring | ITSM | DevOps | Cloud

In the digital transformation era, any organization on its growth to glory must consider developing and investing in modernizing their application portfolios. That includes healthy competition, legacy modernization, and creating a unique identity from the rest of others. Moreover, advancements in technology have forced organizations to reconstruct themselves to the new normal. Application modernization is all about the process of repurposing or consolidating current business applications.

Preventive maintenance is probably the most neglected type of maintenance. Yet it can make a big difference to your business. It allows you to prevent unexpected equipment incidents that can affect your business.

Now that we’ve said goodbye to 2021, we are on our way to completing 20 years of IT transformation. We are taking account of every milestone, every accolade, every cheer from our users, partners, and employees to show the world what turned out to be an eventful year.

Over the last few years, multicloud frameworks have drifted into the mainstream. Organizations now create, store and manage enormous volumes of data across different cloud platforms. Despite the magnitude of this trend, there’s a stark and often disturbing truth: Businesses often have little or no visibility into much of the data that resides in these clouds. The culprit? Dark data.

Legacy logging solutions simply couldn’t keep up with the complex, hyperconverged regional infrastructure at Civo, a Kubernetes service provider that enables users to launch k8s clusters within 90 seconds. “With our infrastructure and application deployment getting more complex and more distributed, we needed our logging solution and our entire observability stack to scale up with our needs,” said Anaïs Urlichs, Site Reliability Engineer at Civo.

Application Performance Monitoring has been a popular concept among developers and companies alike. APM data has helped product teams increase their growth and revenue manifold. Whether it is an issue affecting the availability of a service or a trend that suggests an incoming increase in user engagement, monitoring has always helped organizations get the best out of their product strategies.

Here at LogicMonitor, we’re really big on extensibility and automation. We’re constantly adding to our catalog of monitoring coverage and ensuring that setup is as simple as possible. We also monitor almost any data you can expose on a network. People have done way more with LogicMonitor than we would have ever imagined, and I’m extremely excited to announce our next step in that commitment to extensibility and automation.

Ask any software engineer about the best way to do something and they’ll likely tell you “it depends.” Every project and team works differently and has specific concerns, requirements, and opinions, adding complexity on top of the technical and operational complexity of software development. The challenge lies in managing the work and emergent complexity while staying abreast of industry best practices in a way that fits our teams’ particular processes and environments.

Continuous integration (CI) and continuous delivery or deployment (CD) cover the process of automatically merging, building, and testing code changes ready for release, and – in the case of continuous deployment – releasing those changes to users. If you’re developing software for others to use, you’ll need to go through some form of build and test process before you make your latest changes available.