“Cost” would seem to underpin almost every decision IT teams make. Sure, business requirements drive overall operations budgets, but it’s always in tension with decades-old certainties about cost. It’s long been the unyielding constant of IT equations. In particular, IT pros migrating application infrastructures out of the data center have discovered the on-premises math of cost containment no longer works.

Serverless computing is one of the fastest-growing areas in software development, along with hybrid clouds and using multi-cloud strategies. The global serverless architecture market is expected to grow at a CAGR of 16.2% in 2021 through 2026. It will reach $10.29 billion from $4.2 billion in 2020, according to MarketWatch. The serverless approach promises to help developers beat the cons of self-managed and even virtual server infrastructure. But is serverless right for you?

It’s more critical than ever to secure your company data and protect your workloads in the cloud. This blog post is a roundup of the latest technical resources and product capabilities by both Google Cloud and Splunk to enhance your threat prevention, detection, and response techniques, regardless of where you are in your business-transforming cloud journey.

Instead of using the public internet, more and more businesses are adopting Azure ExpressRoute for direct connectivity to the Azure public cloud. Here’s a more detailed look at the reasons why…

Back in December, Amazon Web Services (AWS) and Grafana Labs partnered to launch the Amazon Managed Service for Grafana in a preview to a limited set of customers. Amazon Managed Service for Grafana is a scalable managed offering that provides AWS customers a native way to run Grafana directly within AWS alongside all their other AWS services.

Today we are excited to share a key milestone, not only for Logz.io, but also for our industry as a whole. For the first time ever, an industry analyst took on the ambitious challenge of analyzing and assessing several different markets including monitoring and telemetry, APM, AIOps, observability, and more. The radar also takes account of evaluating leaders’ various products, unveiling a comprehensive overview under the unified lens of Observability.

The race to cloud migration can seem like a good idea for most businesses, but a common trend has been to get there as soon as possible. Much like with the story of the tortoise and the hare, there are lessons to be learned from moving too fast. When it comes to cloud migration, businesses would be smart to choose a more strategic route and take their time.

A common challenge in data engineering is to combine traditional data warehousing and BI reporting with experiment-driven machine learning projects. Many data scientists tend to work more with Python and ML frameworks rather than SQL. Therefore, their data needs are often different from those of data analysts. In this article, we’ll explore why having a data lake often provides tremendous help for data science use cases.

We’re proud to announce the general availability of Lightrun Cloud – a completely free and self-service version of the Lightrun platform. We consider Lightrun Cloud to be a major milestone in our constant journey to empower developers with better observability tooling and welcome you to sign up for a free account.