Operations | Monitoring | ITSM | DevOps | Cloud

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore the rise of DaaS services across organizations, and the role it could play in the hybrid workplace of tomorrow. When we last wrote about the era of Everything as a service (XaaS), Desktop as a Service (DaaS) was still a relatively niche concept.

A history of Site Reliability Engineering from its origins at Google in 2003 to the present.

According to Amazon, On-Demand Instances are best reserved for short-term processes with uneven workloads that cannot be interrupted. This might partly explain why such EC2 instances are exceedingly popular with AWS users. On the flip side, however, it turns out that On-Demand Instances are also getting dumped for the sake of cloud cost optimization. Our recent Spot Instances guide, for instance, advises AWS users to consider making a switch and, consequently, enjoy up to 90% cost savings.

Without a doubt, cloud technology has saved numerous organizations from disruption. According to a report published by Allied Market Research, In 2019, the global cloud services market was valued at $325,689 million and is expected to reach $1,620,597 million by 2030, registering a CAGR of 15.8%. The pandemic has amplified the growth of the cloud service market. In this article, we will thoroughly discuss cloud first and cloud now strategy, its benefits, and why businesses should adopt this strategy.

Confluent Cloud is a fully managed, cloud-hosted streaming data service. Enterprise customers use Confluent Cloud for real-time event streaming within cloud-scale applications. We’re excited to announce a new integration between Datadog and Confluent Cloud, which enables users to get deep visibility into their Confluent Cloud environment with just a few clicks. In this post, we’ll introduce how to set up the integration and start monitoring key metrics from your clusters.

Fast build times are great, which is why we aim for less than 5m between merging a PR and getting it into production. Not only is waiting on builds a waste of developer time — and an annoying concentration breaker — the speed at which you can deploy new changes has an impact on your shipping velocity. Put simply, you can ship faster and with more confidence when deploying a follow-up fix is a simple, quick change.

As developers, we’re passionate about creating and delivering high-quality software to our end-users and customers. Simply knowing that our software was shipped, deployed, and is being used is a great achievement. And it looks like we did a good job. Everything around us in our lives depends on high-quality software. Software needs to run for us to get water, energy, electricity, transportation, food, etc. Developers have a huge responsibility to keep this software updated and running efficiently.

The JFrog Security research team continuously monitors popular open source software (OSS) repositories with our automated tooling to report vulnerable and malicious packages to repository maintainers. Earlier this year we disclosed several malicious packages targeting developers’ private data that were downloaded approximately 30K times. Today, we will share details about 11 new malware packages that we’ve recently discovered and disclosed to the PyPI maintainers (who promptly removed them).

Every company is a software company and every company wants to get better at it. That’s the reason we built Software Development Optimization or SDO. SDO helps you track siloed data across the DevOps toolchain. It normalizes and correlates data, provides you with DORA’s 4 key metrics and gives you deep insights into the velocity and quality of delivery across services and teams.