How can enterprises streamline their operations for improved internal efficiency and customer satisfaction? The right combination of DevOps tools will do just that.

Toil. Few other words have the same visceral impact for SREs as their four-letter nemesis: toil. Although pretty much everyone recognizes and agrees that toil is bad, it is a term that is frequently misused in colloquial use. In common English usage, toil is defined as “long strenuous fatiguing labor”. As a term of art in the SRE profession, “toil” has several very specific characteristics which distinguish it from other sorts of work which people spend time on.

The first post in this series introduced the idea of the different layers of value that your business can gain from frequent deployments and focused on the hard costs you can save. We’re looking at the role the database plays here because it’s the most complicated part of the process and it’s difficult to hit aggressive KPIs and goals when your teams are burdened with process bloat due to mistake-prone, manual work.

Hey folks! We are super excited to announce that our schedules feature has gone through a bit of an update. Well, more than a bit 🙂. We’ve gone through the feature with a fine-toothed comb and introduced a bunch of UI and functional improvements which we hope will help you achieve one thing: set up, edit and manage your on-call schedules at scale in a matter of minutes (Yes, that was three things but it was tough to condense it to ONE thing)

As the size and frequency of data pipelines scale, organizations are constantly looking for ways to reduce costs and more efficiently utilize their data infrastructure. As the leading managed platform for Spark on Kubernetes, we’ve helped several customers make the decision to move their Spark workloads to Ocean for Apache Spark, taking advantage of strategic spot instance selection, flexible pod configurations, and resource utilization tools that can correct overprovisioning.

The adoption of AI/ML in financial services is increasing as companies seek to drive more robust, data-driven decision processes as part of their digital transformation journey. For global banking, McKinsey estimates that AI technologies could potentially deliver up to $1 trillion of additional value each year. But productionising machine learning at scale is challenging.

Kubernetes is a powerful platform that comes with many features to help engineers run their applications more efficiently. However, as you gain more experience and deploy more workloads, you’ll inevitably start looking for ways to optimize Kubernetes performance. There are many ways to approach optimization. On one hand, you could work exclusively with the tools and configurations provided by Kubernetes itself; on the other, you could reap the benefits of third-party tools.

Email marketing is effective when done right. Since emails go through a complex journey after we hit ‘Send,’ we need to know what happens as they travel. Behind the scenes, an email goes through a complex journey that consists of several steps. And each step is defined by the email protocol being used. Depending on the email protocol, our emails will go through more or fewer stages before they reach the recipient's inbox. Keep reading to see email protocols explained.

If you’re familiar with the frustration of dealing with a poorly constructed web application or the challenges of providing tech support, you understand the importance of building a high-performing and scalable web application. However, with the numerous considerations involved, it can be overwhelming to determine the starting point. This article aims to provide guidance on how to avoid common pitfalls that negatively impact user experience and waste resources.

In this blog, we look at the importance of viewing Azure end-to-end transactions from the perspective of a business user, the overall benefit of Business Application Monitoring, and how Serverless360 BAM can help your organization by providing business insights in your Azure integration transactions.