Technology plays a strategic role in the success of any organisation. Whether you’re part of an enterprise with thousands of employees across the globe or running a startup from the garage of your home, the success of the business comes down to how you consume technology. However, it’s not that straightforward, and IT decision makers usually have to make a lot of trade-offs when investing in technology.
In November 2021, a record 4.5 million workers switched jobs, topping the previous record set in September 2021. If there’s a side story to the global pandemic, it’s The Great Resignation. This phenomenon has companies spending more than ever to retain their human capital, with less and less to show for it.
For businesses and organizations that offer any sort of digital experience, code quality and security is of cardinal importance. As such, the architecture of that code – how it is stored, accessed, and built upon – is critically important. In this age of digital transformation, if you’re standing still, you’re moving backward.
It’s been an exciting few days at Cribl. A week ago, we announced our $150 Million Series D funding round led by Tiger Global, with participation from existing investors IVP, CRV, Redpoint Ventures, Sequoia Capital, and Greylock! We also announced an exciting new product: Cribl Search! We’ve been blown away by the excitement from our customers thus far.
Since our founding, Lumigo has worked hard to build innovative technology that meets the real-world needs of our customers in a cloud-first world. Today, we’re excited to be recognized for our work in serverless operations and the AI market by the experts at Frost & Sullivan, who have awarded Lumigo with the prestigious Best Practices Technology Award in Europe and Israel.
Synthetic monitoring tools have long formed a core part of application performance management and monitoring toolsets. Yet no matter how familiar you are with synthetic monitoring, there is likely room to get more out of it than you currently are. Indeed, the default approach to synthetic monitoring tends to involve using it reactively: problems occur in production, and your team uses synthetic monitoring to help understand and remediate them.
