Operations | Monitoring | ITSM | DevOps | Cloud

Why Cloud Security Pays Off: Key Benefits Explained for Decision-Makers

Every new app, user, workload and connection creates value, yet it can also create another opening for disruption. One weak password, a missed update or an exposed setting can lead to downtime, lost data and difficult questions from customers and leadership. For decision-makers, the issue is not whether cloud security costs money. It is whether the business can afford the cost of operating without proper safety. Powerful cloud security helps you reduce risk, improve visibility, support compliance and give teams the trust to grow without looking over their shoulders.

Top 10 Listed Bitcoin ASIC Miner Companies to Watch in 2026 Including Bitdeer

For buyers comparing listed Bitcoin mining equipment companies in 2026, Bitdeer belongs near the top of the shortlist because it combines NASDAQ listing status, Singapore headquarters, self-developed Bitcoin ASIC miner technology, and operating mining infrastructure. Bitdeer is not only a public mining infrastructure company under ticker BTDR; it also sells and deploys SEALMINER Bitcoin ASIC miners, including the A4 Ultra Hydro at 9.45 J/TH and 886 TH/s, according to Bitdeer's April 2026 A4 announcement.

How eDiscovery Review Strengthens Evidence Analysis for Legal Teams

Legal evidence now lives across emails, chat exports, contracts, spreadsheets, shared drives, and metadata trails. For legal teams, the real challenge is not collecting documents; it is finding the material that can support, weaken, or reshape a case. A disciplined review process turns scattered information into organized evidence that attorneys can trust.

Your Prospect Data Is a Pipeline, and Nobody Is Monitoring It

Engineering teams have spent a decade learning that data has a shelf life. Metrics go stale. Caches drift. Pipelines break quietly and keep serving results that look plausible until someone checks the source. That is why observability exists as a discipline and not just a dashboard.

IT problem management VS. IT incident management, and how agentic ITOps improves both

Picture a familiar scene: a critical application goes down during peak business hours, and your on-call engineers scramble to restore service. Two weeks later, the same application fails again, frustrating your teams with the same symptoms, the same scramble, and the same customer frustration. If this pattern feels familiar, your organization may be strong at IT incident management, but underinvested in IT problem management.

From zero to traces: Choosing the right APM instrumentation method for your stack

Instrumenting a tech stack for distributed tracing is a complicated process that often takes weeks. For large fleets running services written in multiple languages, the timeline could be months. Every service needs a tracing library added, configured, and redeployed, and that work has to fit into each team’s release schedule. Datadog’s Single Step Instrumentation (SSI) cuts the time it takes to instrument your applications to send traces to Datadog APM down to minutes.

Shipped: Allocate AWS cost by account name, not account ID

Until now, allocating by account name meant doing the work yourself: hand-building a custom dimension that mapped every twelve-digit AWS ID to a readable name, then maintaining it by hand in CostFormation. That mapping is fragile. Rename a definition or edit the wrong line and dashboards that depended on it quietly break. Now the account name is built in for accounts connected through AWS CUR 2.0.

Bitbucket Tests now supports tracking tests from multiple branches

Tracking tests on non-default branches was one of the most requested capabilities during the Bitbucket Tests (beta). We heard you, and today, we’re shipping it. Most teams don’t ship from main. Integration happens on develop, stabilisation on staging, releases cut from release. Until now, Bitbucket Tests only tracked the tests from default(main) branch, leaving the branches that actually matter invisible. Multiple branch tracking in Tests changes that.

Building a Control Framework for the AI SDLC

Since November, Kosli’s own engineering team has been running a live experiment: what happens to code review when the thing generating the code - and increasingly, the thing reviewing it - is an AI, not a person. Alex Kantor, Kosli’s Director of Technology, walked through that experiment in this webinar: what broke, what it cost to fix, and what four “obvious” assumptions in a standard code review control turned out not to hold once you took the human out of the loop.