Operations | Monitoring | ITSM | DevOps | Cloud

It’s 3am. You wake up to a blaring alarm, the sound burned into your soul from countless sleepless nights. You reach for your phone, ‘press 4 to acknowledge’ and bleary eyed, you open your laptop, grab a coffee and get to work. The next hour is a whirlwind—bringing services back online, keeping colleagues in the loop, maintaining a list of action items, updating a status page that will be seen by millions of customers. Potentially for the fifth time this month.

If your organization asked you to report on the reliability improvements you’ve made over the past 90 days, would you be able to pull up a report? If you’re like many engineers, this question might make you anxious. Reliability is a difficult metric to quantify in a meaningful way, let alone measure.

If you’re working with AI, you’re working with data. From numerical data to videos or images, regardless of your industry or use case, every AI project depends on data in some form. The question is: how can you efficiently store that data and use it when building your models? One answer is PostgreSQL, a proven and well-loved database that, thanks to recent developments, has become a strong choice to support AI.

To optimize costs, businesses must continuously assess the cost-effectiveness of their IT infrastructure. This article explores the financial implications of transitioning from traditional cloud IT infrastructure, characterized by elements like EC2, RDS, and non-containerized environments, to Kubernetes, a modern container-orchestration system. Traditional IT infrastructures have long been the backbone of many organizations, offering a certain level of predictability in cost and performance.

Learn about Cloudsmith's recent ISO 27001:2013 recertification, highlighting the team's unwavering commitment to security excellence and customer trust.

Kubernetes has become quite the conundrum. It’s 2024 and more teams than ever are looking for an alternative to the self proclaimed “de-facto” container solution for reasons ranging from long term complexity to its absolutely massive cost to maintain. So here’s the scoop. Teams have been ditching Kubernetes faster than hipsters drop mainstream coffee chains for that obscure, single-origin brew. Why?

As the software development world becomes faster, enterprises must adapt to customer demands by increasing their application’s deployment frequency. They often rely on DevOps and Site Reliability Engineering (SRE) methodologies to achieve this. These approaches ensure high system availability amidst frequent deployments and prioritize delivering a seamless user experience.

Monitoring Kibana instances is crucial to ensure optimal performance, identify potential bottlenecks, and promptly address issues that may impact the accessibility and functionality of the platform. Regular monitoring allows for proactive maintenance, enabling organizations to deliver a seamless and responsive user experience while ensuring the stability and reliability of their ELK stack.

We are thrilled to announce that Kosli has successfully completed a SOC 2 Type 2 audit, demonstrating our commitment to the security, quality, and operational excellence our customers expect. This achievement builds upon our existing SOC 2 Type 1 compliance, further solidifying our dedication to robust security practices.