Operations | Monitoring | ITSM | DevOps | Cloud

Unlocking the full potential of monitoring through ML integration, anomaly detection, and innovative scoring engines. Machine Learning has been making waves in various industries, but its adoption in the monitoring and observability space has been slower than expected. Many “ML” features remain gimmicky and do not provide actual real world value to users that encourages their further use.

As more and more organizations undergo digital transformation, IT automation is becoming more important and essential to implement. A report by Smartsheet found that more than 40% of those surveyed spend about a quarter of their time working on repetitive tasks, and almost 70% of them say that automation’s biggest opportunity would be that it significantly reduces the amount of time spent on these tasks.

Whoever owns Reliability should define its parameters. But who owns the Reliability of a Product? Engineering? Product Management? Or the Customer success team?

Last month, the Singapore bank DBS experienced a 10-hour outage of its digital services. Not only was it massively disruptive to customers, but it caused the bank’s stock to lose 1.4% of its value in a single day. And it’s not the first time DBS has had to deal with the fallout of an IT snafu; in November 2021, Singapore’s finance regulatory body imposed significant additional capital requirements on the bank after its digital banking services were disrupted for two days.

Azure Storage is a cloud-based storage solution offered by Microsoft as part of the Azure suite of services. It is used for storing data objects such as blobs, files, tables, and queues. Azure Storage offers high scalability and availability with an accessible pay-as-you-go model that makes it an ideal choice for businesses of all sizes. In today’s digital age, data has become the most valuable asset for any business.

Learning from incidents has become something of a hot topic within the software industry, and for good reason. Analyzing mistakes and mishaps can help organizations avoid similar issues in the future, leading to improved operations and increased safety. But too often we treat learning from incidents as the end goal, rather than a means to achieving greater business success. The goal is not for our organisations to learn from incidents: it’s for them to be better, more successful businesses.

Spiraling costs are causing organizations to look for ways to reduce their monthly spend – hidden charges and unexpected bills are surprises that CFOs can no longer afford. With current costs from hyperscaler cloud providers skyrocketing, many are now asking whether going cloud-native is the right move for them. There are, however, a number of tips and tricks that you can action today that will help you reduce your cloud bill at any provider.

Canonical joined the Connectivity Standards Alliance last year to lead the charge for Linux in the smart home. The Matter standard is a particular focus for us. Its secure design and open ecosystem align well with Ubuntu’s own values of security and openness. Ubuntu Core and Matter make for a powerful pair. Ubuntu Core’s containerisation makes it a highly secure OS that pairs well with the highly secure protocol.

At Logz.io, we’re seeing a very fast pace of adoption for Kubernetes–at this point, it’s even outpacing cloud adoption, with companies running on-prem fully adopting Kubernetes in production. Why are companies going in this direction? Kubernetes provides additional layers of abstraction, which helps create business agility and flexibility for deploying critical applications. At the same time, those abstraction layers create additional complexity for observability.