Operations | Monitoring | ITSM | DevOps | Cloud

We recently sat down with Jude Bakeer, one of LogicMonitor’s Solutions Engineers, to talk about the future of IT and Observability. Part of Jude’s role requires her to talk to customers and enterprises every day. Over the years, she’s gathered unparalleled insights into key trends across these industries and segments – from ops teams to C-level executives.

Cyber security has continued to gain importance worldwide as hacking and malware threats are rising. Global losses associated with hacking and cybercrime reached $1 trillion in 2020, which has inspired the expansion of the information security industry, with revenue projected to hit more than $170 billion in 2022. As a publicly traded data security firm, CyberArk offers identity management services to protect your company.

The rise of the containerized software environment has left archaic, monolithic application structures behind. Cloud-native applications running via a range of containers, or individual, self-contained software packages, are now the norm. Platforms and tools like Kubernetes and Docker allow developers to create apps that work irrespective of device or operating systems, vastly reducing time to market and increasing potential user base numbers.

We are living in an era where everything depends upon data, any application you are using or that you are creating is going to either consume or create data. LogicMonitor REST API makes it easy for customers who prefer to use APIs to access features without performing activities manually via a UI. LM API allows end-users to perform several activities with added security and reduced efforts. As of today, we are offering v1, and v2, and now have v3 as base versions of API & SDK going further.

The cloud is limitless – a key factor in its appeal – but it also introduces a new set of problems. Enterprises are looking to innovate at rapid speed, to achieve business outcomes, and deliver superior user experiences. But the majority of enterprises need to continue to maintain complex hybrid infrastructures as well as diversify their cloud strategies across multi-cloud environments.

Today’s DevOps teams can reach project goals quickly because they rely on continuous integration and continuous development (CI/CD) tools that automate tasks. The problem is that there are tons of CI/CD tools out there. How do you know which one serves your team’s needs best? Jenkins stood out as a top contender for years after its release in 2011. More recently (2018), Jenkins X appeared as an alternative.

Big data experts already agree that the amount of generated data is growing exponentially and forecast that it will reach 175 zettabytes by 2025. That projection is predicated upon current realities, which include a growing number of internet users and the billions of embedded systems and connected devices around the world. Even conceptualizing that amount of data is daunting — but then consider how best to manipulate and export it.

Cisco ACI is an enterprise-class, software-defined networking (SDN) solution that provides complete control of the data center network. Using a policy-based approach, Cisco ACI delivers security, performance, and scalability for today’s demanding applications. Cisco ACI is part of the broader Cisco SDN portfolio, which also includes Nexus switches and Application Centric Infrastructure (ACI) controllers. If you are looking for a way to improve your data center network, Cisco ACI may be the answer.

Did you know that nearly 15% of IT budgets go towards maintaining legacy systems? Recent data suggests that these systems cost hundreds of millions annually to operate and maintain. For that reason, many companies continue to invest in moving their systems away from expensive on-premises to the cloud, where maintenance is more cost-effective and consistent thanks to modern monitoring capabilities.

Distributed tracing is an essential process in the modern world of cloud-based applications. Tracing tracks and observes each service request an application makes across distributed systems. Developers may find distributed tracing most prevalent in microservice architectures where user requests pass through multiple services before providing the desired results.