With all the buzz around ChatGPT and the rapid mainstreaming of generative AI, 2024 was predicted to be the year of AI. While the market certainly talks a lot about AI this year, we’ve yet to see much of it in production environments. Events are a great chance for tech companies to showcase or announce new innovations to the market.

Widespread adoption of containerized infrastructure has been closely followed by an explosion of container-native tools for each layer of the stack, including new solutions for managing CI/CD pipelines in container-based environments, such as the Argo suite, FluxCD, and Tekton. This is because these lightweight solutions make it easier to automate builds, testing, deployments, and more on Kubernetes, as well as other platforms that manage containerized workloads and services.

If you’re working in the cloud, you’re part of a rapidly growing industry. Global spending on public cloud services is set to double, reaching $482 billion in 2024, up from $243 billion in 2019, with a compound annual growth rate (CAGR) of 16.5% What’s the takeaway? With organizations increasingly depending on cloud services, managing costs effectively is a must. Otherwise, the expenses will pile up, and money will flow down.

The evolution of generative AI is beginning to rapidly transform the way that we work and communicate. This is only set to increase as generative AI excels in providing business value by driving innovation and making intelligent decisions at unprecedented speeds. However, to fully harness its potential, organisations must ensure that they deploy this revolutionary technology safely, securely and responsibly with the right network connectivity.

Bus Factor is a measure of risk to a project or organization due to the loss of key personnel. For software engineering teams, a low bus factor (meaning only a few people hold critical knowledge or skills) can lead to complications that result in product failures.

Encryption is a fundamental part of nearly every modern application, whether you’re storing data, sending data to customers, or sharing data between backend services. Most organizations have a data encryption strategy, and nearly every web page is using HTTPS, thanks to initiatives like Let’s Encrypt. But setting up encryption isn’t a one-time initiative. Over time, the certificates backing modern encryption expire and need to be replaced.

IT modernization is imperative to an agile, productive, citizen-centric, and cost-efficient government. It’s also codified as a key objective of many mandates and guidelines. But as mission-critical as IT modernization initiatives are, they are also fraught with risk and operational challenges, including: To overcome these barriers to streamlined IT operations, government leaders should rely on artificial intelligence for IT operations (AIOps).

Traditional monitoring has become insufficient for managing complex systems. Modern infrastructures consist of numerous interconnected services, and simply monitoring individual metrics and logs fails to provide a comprehensive view. This is where observability becomes crucial.

With the advent of byte code instrumentation (BCI) in 2008, application performance management took a giant leap in what is known as "inside-out monitoring," that is, monitoring from inside the application. Before that, application monitoring was largely limited to tracking CPU, memory, disk, and process availability. BCI offered new opportunities in terms of how applications could be monitored and what could be monitored from an application performance perspective.

One critical decision businesses face today n is whether to choose on-premise software or a cloud-based solution. On-premise software, which is installed and run on your own hardware infrastructure, provides a level of control and customization that many businesses find essential. However, it's important to weigh this against the potential costs and maintenance demands.