Operations | Monitoring | ITSM | DevOps | Cloud

Recently we introduced support for Failure Strategies, which allows developers to implement more powerful logic and control flow into their workflows. Today, we are excited to announce a new step failure strategy, retry, which can auto-retry your failed steps without requiring any input from the user.

Server hardening is securing a server by reducing its surface of vulnerability. This means minimizing the number of potential entry points for attackers by disabling unnecessary services, applying patches, and enforcing strong security controls. If you use Kamal to deploy applications but you must harden your servers yourself. This is a guide on the steps to take to have a secure server. The Basics of Server Security: Patch often and restart often. Patching helps with fixing known vulnerabilities.

We’re excited to announce our new Codefresh GitOps Cloud offering that lets you bring your GitOps deployments to the next level. You get: In this blog post, we’ll dive into some of the key features of Codefresh GitOps Cloud.

“Dapper is pure speed—EF Core is bloated,” or “Dapper is a nightmare—EF Core keeps things scalable.” We’ve all heard it. Both sides make a point, but neither tells the whole story. The real question? Which one will save you from a world of pain six months from now? Dapper gives you raw SQL execution and total control, but you’re on your own when managing transactions, relationships, and migrations.

Being in the cloud is table stakes in 2025, and simply lifting and shifting workloads to the cloud barely scratches the surface of what's possible. Yet many engineering teams find themselves managing glorified data centers in the cloud—missing out on key capabilities like auto-scaling, serverless computing, and cloud-native security features. Cloud modernization is the true game-changer for turning legacy systems into agile, scalable architectures.

Not too long ago, engineering organizations were in a headlong rush to “innovate or die” by hiring more developers and shipping more code at breakneck speed. This expansion brought short-term velocity gains—but also created a tangle of orphaned services, inconsistent processes, and developers spending more time firefighting than innovating. Today, the reality is that you can’t just keep throwing headcount at complexity.

Cloud infrastructure powers everything from streaming services to enterprise databases, yet many organizations still run critical workloads on legacy systems. With the cloud migration market projected to reach $806.41 billion by 2029, growing at a CAGR of 28.24%, organizations of all sizes are racing to modernize their infrastructure and applications. This shift means companies need to stay competitive in a landscape where agility and scalability are non-negotiable.

MySQL logs are basically your database's diary – they record everything happening behind the scenes. Think of them as the black box of your database operations. You've got error logs showing you when things go sideways, query logs documenting every question asked of your database, and binary logs tracking changes like they're gossip in a small town.

Choosing between New Relic and Datadog? Here's what you need to know: Let's break it down. If you're comparing New Relic and Datadog for observability, you might also find this guide on microservices monitoring tools helpful.