Operations | Monitoring | ITSM | DevOps | Cloud

How Qovery assessed a growing B2B SaaS company's infrastructure across about 150 controls, what the review with their team changed, and why a Typesense high-availability project turned into a sharding plan. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

In February we planned to move every Qovery-managed cluster from ingress-nginx to Envoy Gateway by the end of March. It took until October. Here is the rollout model, every class of problem we hit, and what I would do differently. Benjamin is a staff engineer at Qovery focused on infrastructure automation, Kubernetes internals, and building the deployment engine that powers thousands of clusters.

DevOps Team Extension gives growing engineering teams a named Qovery engineer, a continuous infrastructure scan, and a monthly remediation plan, so they can scale reliability, security and compliance without hiring a DevOps team first. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

New versions of SecureBridge, EntityDAC, and dbExpress drivers are out. All three now work with RAD Studio 13 Florence Release 2 and offer improved support for the Arm64EC target platform. Devart dbExpress drivers also add support for Microsoft SQL Server 2025 and MySQL 9.7, while SecureBridge gains SFTP upload resume, multipart/form-data support, and a new SSL/TLS demo.

This post is about a recent change to the Sentry JavaScript SDKs. If you don’t use Sentry with JavaScript, it may still be useful as a look at how we made the change and why. In the Sentry JavaScript SDK v11, we rebuilt how our tracing integrations work. While we still support the OpenTelemetry standard (described in more detail below), we now instrument your dependencies with a code transformer instead of using the OpenTelemetry instrumentation classes as we did in previous versions.

As businesses increasingly integrate artificial intelligence into their applications and workflows, understanding what happens behind the scenes of these AI systems has become essential. AI-powered chatbots, large language models (LLMs), and autonomous AI agents can process thousands of requests, interact with external applications, and execute complex tasks. However, when something goes wrong, identifying the source of the problem isn’t always straightforward. Was the AI response incorrect?

The best AI SRE tools to evaluate in 2026 include Sherlocks AI, Resolve AI, Traversal, Cleric, Rootly AI SRE, Komodor Klaudia, Datadog Bits Investigation, and Dynatrace Intelligence. Each addresses a different part of reliability work, from investigating alerts across multiple systems to diagnosing Kubernetes failures or validating production changes. Choosing the right tool starts with a practical question: where does your team lose time during an incident?

Organizations may need to keep data in specific regions or infrastructure they control, whether because of data residency requirements, internal policies, or transfer costs. Datadog Bring Your Own Cloud (BYOC) extends the Datadog platform into those environments. Each BYOC deployment runs as a Kubernetes cluster with its own object storage, keeping data close to its source.

Downtime is expensive, and it’s getting harder to avoid. Every year, enterprise IT environments grow more distributed, dynamic, and difficult to maintain with legacy tools and manual processes. With unplanned outages costing enterprises nearly $25,000 per minute, establishing and maintaining a resilient IT infrastructure is essential. Enterprises have already invested heavily in resilient architecture.